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ESSD | Articles | Volume 12, issue 2
Earth Syst. Sci. Data, 12, 1419–1435, 2020
https://doi.org/10.5194/essd-12-1419-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1419-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 1419–1435, 2020
https://doi.org/10.5194/essd-12-1419-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-12-1419-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Review article 23 Jun 2020
Review article | 23 Jun 2020
Simplified SAGE II ozone data usage rules
Stefanie Kremser et al.
Related authors
Greg E. Bodeker and Stefanie Kremser
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1095, https://doi.org/10.5194/acp-2020-1095, 2020
Preprint under review for ACP
Short summary
Short summary
This paper presents measures of the severity of the Antarctic ozone hole covering the period 1979 to 2019. The paper shows that while the severity of Antarctic ozone depletion grew rapidly through the last two decades of the 20th century, the severity declined thereafter, and faster than expected from declines in stratospheric concentrations of the chlorine and bromine containing chemical compounds that destroy ozone.
Stefanie Kremser, Mike Harvey, Peter Kuma, Sean Hartery, Alexia Saint-Macary, John McGregor, Alex Schuddeboom, Marc von Hobe, Sinikka T. Lennartz, Alex Geddes, Richard Querel, Adrian McDonald, Maija Peltola, Karine Sellegri, Israel Silber, Cliff S. Law, Connor J. Flynn, Andrew Marriner, Thomas C. J. Hill, Paul J. DeMott, Carson C. Hume, Graeme Plank, Geoffrey Graham, and Simon Parsons
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-321, https://doi.org/10.5194/essd-2020-321, 2020
Preprint under review for ESSD
Short summary
Short summary
Aerosol-cloud interactions over the Southern Ocean are poorly understood and remain a major source of uncertainty in climate models. This study presents ship-borne measurements collected during a six-week voyage into the Southern Ocean in 2018, that are an important supplement to satellite-based measurements. For example, these measurements include data on low-level clouds and aerosol composition in the marine boundary layer, which can be used in climate model evaluation efforts.
Ethan R. Dale, Stefanie Kremser, Jordis S. Tradowsky, Greg E. Bodeker, Leroy J. Bird, Gustavo Olivares, Guy Coulson, Elizabeth Somervell, Woodrow Pattinson, Jonathan Barte, Jan-Niklas Schmidt, Nariefa Abrahim, Adrian J. McDonald, and Peter Kuma
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-276, https://doi.org/10.5194/essd-2020-276, 2020
Preprint under review for ESSD
Short summary
Short summary
MAPM is a project whose goal is to develop a method to infer particulate matter (PM) emissions maps from PM concentration measurements. In support of MAPM, we conducted a winter field campaign in New Zealand. In addition to two types of instruments measuring PM, an array of other meteorological sensors were deployed, measuring temperature and wind speed, as well as probing the vertical structure of the lower atmosphere. In this article, we present the measurements taken during this campaign.
Greg E. Bodeker, Jan Nitzbon, Jordis S. Tradowsky, Stefanie Kremser, Alexander Schwertheim, and Jared Lewis
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-218, https://doi.org/10.5194/essd-2020-218, 2020
Preprint under review for ESSD
Short summary
Short summary
Ozone in Earth's atmosphere has undergone significant changes since first measured systematically from space in the late 1970s. The purpose of the paper is to present a new, spatially filled, global total column ozone climate data record spanning October 1978 to December 2016. The database is compiled from measurements from 17 different satellite-based instruments where offsets and drifts between the instruments have been corrected using ground-based measurements.
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, and Xiaobin Xu
Earth Syst. Sci. Data, 12, 591–609, https://doi.org/10.5194/essd-12-591-2020, https://doi.org/10.5194/essd-12-591-2020, 2020
Short summary
Short summary
Sulfur-containing trace gases in the atmosphere influence atmospheric chemistry and the energy budget of the Earth by forming aerosols. The ocean is an important source of the most abundant sulfur gas in the atmosphere, carbonyl sulfide (OCS) and its most important precursor carbon disulfide (CS2). In order to assess global variability of the sea surface concentrations of both gases to calculate their oceanic emissions, we have compiled a database of existing shipborne measurements.
Laura E. Revell, Stefanie Kremser, Sean Hartery, Mike Harvey, Jane P. Mulcahy, Jonny Williams, Olaf Morgenstern, Adrian J. McDonald, Vidya Varma, Leroy Bird, and Alex Schuddeboom
Atmos. Chem. Phys., 19, 15447–15466, https://doi.org/10.5194/acp-19-15447-2019, https://doi.org/10.5194/acp-19-15447-2019, 2019
Short summary
Short summary
Aerosols over the Southern Ocean consist primarily of sea salt and sulfate, yet are seasonally biased in our model. We test three sulfate chemistry schemes to investigate DMS oxidation, which forms sulfate aerosol. Simulated cloud droplet number concentrations improve using more complex sulfate chemistry. We also show that a new sea spray aerosol source function, developed from measurements made on a recent Southern Ocean research voyage, improves the model's simulation of aerosol optical depth.
Corinna Kloss, Marc von Hobe, Michael Höpfner, Kaley A. Walker, Martin Riese, Jörn Ungermann, Birgit Hassler, Stefanie Kremser, and Greg E. Bodeker
Atmos. Meas. Tech., 12, 2129–2138, https://doi.org/10.5194/amt-12-2129-2019, https://doi.org/10.5194/amt-12-2129-2019, 2019
Short summary
Short summary
Are regional and seasonal averages from only a few satellite measurements, all aligned along a specific path, representative? Probably not. We present a method to adjust for the so-called
sampling biasand investigate its influence on derived long-term trends. The method is illustrated and validated for a long-lived trace gas (carbonyl sulfide), and it is shown that the influence of the sampling bias is too small to change scientific conclusions on long-term trends.
Birgit Hassler, Stefanie Kremser, Greg E. Bodeker, Jared Lewis, Kage Nesbit, Sean M. Davis, Martyn P. Chipperfield, Sandip S. Dhomse, and Martin Dameris
Earth Syst. Sci. Data, 10, 1473–1490, https://doi.org/10.5194/essd-10-1473-2018, https://doi.org/10.5194/essd-10-1473-2018, 2018
Sandip S. Dhomse, Douglas Kinnison, Martyn P. Chipperfield, Ross J. Salawitch, Irene Cionni, Michaela I. Hegglin, N. Luke Abraham, Hideharu Akiyoshi, Alex T. Archibald, Ewa M. Bednarz, Slimane Bekki, Peter Braesicke, Neal Butchart, Martin Dameris, Makoto Deushi, Stacey Frith, Steven C. Hardiman, Birgit Hassler, Larry W. Horowitz, Rong-Ming Hu, Patrick Jöckel, Beatrice Josse, Oliver Kirner, Stefanie Kremser, Ulrike Langematz, Jared Lewis, Marion Marchand, Meiyun Lin, Eva Mancini, Virginie Marécal, Martine Michou, Olaf Morgenstern, Fiona M. O'Connor, Luke Oman, Giovanni Pitari, David A. Plummer, John A. Pyle, Laura E. Revell, Eugene Rozanov, Robyn Schofield, Andrea Stenke, Kane Stone, Kengo Sudo, Simone Tilmes, Daniele Visioni, Yousuke Yamashita, and Guang Zeng
Atmos. Chem. Phys., 18, 8409–8438, https://doi.org/10.5194/acp-18-8409-2018, https://doi.org/10.5194/acp-18-8409-2018, 2018
Short summary
Short summary
We analyse simulations from the Chemistry-Climate Model Initiative (CCMI) to estimate the return dates of the stratospheric ozone layer from depletion by anthropogenic chlorine and bromine. The simulations from 20 models project that global column ozone will return to 1980 values in 2047 (uncertainty range 2042–2052). Return dates in other regions vary depending on factors related to climate change and importance of chlorine and bromine. Column ozone in the tropics may continue to decline.
Stefanie Kremser, Jordis S. Tradowsky, Henning W. Rust, and Greg E. Bodeker
Atmos. Meas. Tech., 11, 3021–3029, https://doi.org/10.5194/amt-11-3021-2018, https://doi.org/10.5194/amt-11-3021-2018, 2018
Short summary
Short summary
We investigate the feasibility of quantifying the difference in biases of two instrument types (i.e. radiosondes) by flying the old and new instruments on alternating days, so-called interlacing, to statistically derive the systematic biases between the instruments. While it is in principle possible to estimate the difference between two instrument biases from interlaced measurements, the number of required interlaced flights is very large for reasonable autocorrelation coefficient values.
Jared Lewis, Greg E. Bodeker, Stefanie Kremser, and Andrew Tait
Geosci. Model Dev., 10, 4563–4575, https://doi.org/10.5194/gmd-10-4563-2017, https://doi.org/10.5194/gmd-10-4563-2017, 2017
Short summary
Short summary
The Ensemble Projections Incorporating Climate model uncertainty (EPIC) method uses climate pattern scaling to expand a small number of daily maximum and minimum surface temperature projections into an ensemble that captures the structural uncertainty between climate models. The method is useful for providing projections of changes in climate to users wishing to investigate the impacts of climate change in a probabilistic and computationally efficient way.
Laura E. Revell, Andrea Stenke, Beiping Luo, Stefanie Kremser, Eugene Rozanov, Timofei Sukhodolov, and Thomas Peter
Atmos. Chem. Phys., 17, 13139–13150, https://doi.org/10.5194/acp-17-13139-2017, https://doi.org/10.5194/acp-17-13139-2017, 2017
Short summary
Short summary
Compiling stratospheric aerosol data sets after a major volcanic eruption is difficult as the stratosphere becomes too optically opaque for satellite instruments to measure accurately. We performed ensemble chemistry–climate model simulations with two stratospheric aerosol data sets compiled for two international modelling activities and compared the simulated volcanic aerosol-induced effects from the 1991 Mt Pinatubo eruption on tropical stratospheric temperature and ozone with observations.
Gerald E. Nedoluha, Brian J. Connor, Thomas Mooney, James W. Barrett, Alan Parrish, R. Michael Gomez, Ian Boyd, Douglas R. Allen, Michael Kotkamp, Stefanie Kremser, Terry Deshler, Paul Newman, and Michelle L. Santee
Atmos. Chem. Phys., 16, 10725–10734, https://doi.org/10.5194/acp-16-10725-2016, https://doi.org/10.5194/acp-16-10725-2016, 2016
Short summary
Short summary
Chlorine monoxide (ClO) is central to the formation of the springtime Antarctic ozone hole since it is the catalytic agent in the most important ozone-depleting chemical cycle. We present 20 years of measurements of ClO from the Chlorine monOxide Experiment at Scott Base, Antarctica, and 12 years of measurements from the Aura Microwave Limb Sounder to show that the trends in ClO during the ozone hole season are consistent with changes in stratospheric chlorine observed elsewhere.
Yuting Wang, Nicholas M. Deutscher, Mathias Palm, Thorsten Warneke, Justus Notholt, Ian Baker, Joe Berry, Parvadha Suntharalingam, Nicholas Jones, Emmanuel Mahieu, Bernard Lejeune, James Hannigan, Stephanie Conway, Joseph Mendonca, Kimberly Strong, J. Elliott Campbell, Adam Wolf, and Stefanie Kremser
Atmos. Chem. Phys., 16, 2123–2138, https://doi.org/10.5194/acp-16-2123-2016, https://doi.org/10.5194/acp-16-2123-2016, 2016
Short summary
Short summary
OCS could provide an additional constraint on the carbon cycle. The FTIR networks have existed for more than 20 years. For the first time, we used FTIR measurements of OCS and CO2 to study their relationship. We put the coupled CO2 and OCS land fluxes from the Simple Biosphere Model (SiB) into a transport model, and compared the simulations to the measurements. Looking at OCS and CO2 together inspires some new thoughts in how the biospheric models reproduce the carbon cycle in the real world.
G. E. Bodeker and S. Kremser
Atmos. Meas. Tech., 8, 1673–1684, https://doi.org/10.5194/amt-8-1673-2015, https://doi.org/10.5194/amt-8-1673-2015, 2015
Short summary
Short summary
This paper discusses, and demonstrates, the methodology for reliably determining long-term trends in upper air climate data records and how measurement uncertainties should be used in trend analyses. A pedagogical approach is taken whereby numerical recipes for key parts of the trend analysis process are explored. The paper describes the construction of linear least squares regression models for trend analysis and the boot-strapping approach to determine the uncertainty on the derived trends.
M. Rex, S. Kremser, P. Huck, G. Bodeker, I. Wohltmann, M. L. Santee, and P. Bernath
Atmos. Chem. Phys., 14, 6545–6555, https://doi.org/10.5194/acp-14-6545-2014, https://doi.org/10.5194/acp-14-6545-2014, 2014
S. Kremser, G. E. Bodeker, and J. Lewis
Geosci. Model Dev., 7, 249–266, https://doi.org/10.5194/gmd-7-249-2014, https://doi.org/10.5194/gmd-7-249-2014, 2014
P. E. Huck, G. E. Bodeker, S. Kremser, A. J. McDonald, M. Rex, and H. Struthers
Atmos. Chem. Phys., 13, 3237–3243, https://doi.org/10.5194/acp-13-3237-2013, https://doi.org/10.5194/acp-13-3237-2013, 2013
Dongqi Lin, Basit Khan, Marwan Katurji, Leroy Bird, Ricardo Faria, and Laura E. Revell
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-306, https://doi.org/10.5194/gmd-2020-306, 2020
Preprint under review for GMD
Short summary
Short summary
We present an open-source toolbox WRF4PALM which enables simulating weather dynamics within the urban landscapes. WRF4PALM passes meteorological information from the popular Weather Research and Forecasting (WRF) model to the turbulence-resolving PALM model system 6.0. WRF4PALM can potentially extend the use of WRF and PALM with realistic boundary conditions to any part of the world. WRF4PALM will help study air pollution dispersion, wind energy prospecting, and high impact wind forecasting.
Greg E. Bodeker and Stefanie Kremser
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1095, https://doi.org/10.5194/acp-2020-1095, 2020
Preprint under review for ACP
Short summary
Short summary
This paper presents measures of the severity of the Antarctic ozone hole covering the period 1979 to 2019. The paper shows that while the severity of Antarctic ozone depletion grew rapidly through the last two decades of the 20th century, the severity declined thereafter, and faster than expected from declines in stratospheric concentrations of the chlorine and bromine containing chemical compounds that destroy ozone.
Juan-Carlos Antuña-Marrero, Graham W. Mann, Philippe Keckhut, Sergey Avdyushin, Bruno Nardi, and Larry W. Thomason
Earth Syst. Sci. Data, 12, 2843–2851, https://doi.org/10.5194/essd-12-2843-2020, https://doi.org/10.5194/essd-12-2843-2020, 2020
Short summary
Short summary
We report the recovery of lidar measurements of the 1991 Pinatubo eruption. Two Soviet ships crossing the tropical Atlantic in July–September 1991 and January–February 1992 measured the vertical profile of the Pinatubo cloud at different points in its spatio-temporal evolution. The datasets provide valuable new information on the eruption's impacts on climate, with the SAGE-II satellite measurements not able to measure most of the lower half of the Pinatubo cloud in the tropics in this period.
Stefanie Kremser, Mike Harvey, Peter Kuma, Sean Hartery, Alexia Saint-Macary, John McGregor, Alex Schuddeboom, Marc von Hobe, Sinikka T. Lennartz, Alex Geddes, Richard Querel, Adrian McDonald, Maija Peltola, Karine Sellegri, Israel Silber, Cliff S. Law, Connor J. Flynn, Andrew Marriner, Thomas C. J. Hill, Paul J. DeMott, Carson C. Hume, Graeme Plank, Geoffrey Graham, and Simon Parsons
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-321, https://doi.org/10.5194/essd-2020-321, 2020
Preprint under review for ESSD
Short summary
Short summary
Aerosol-cloud interactions over the Southern Ocean are poorly understood and remain a major source of uncertainty in climate models. This study presents ship-borne measurements collected during a six-week voyage into the Southern Ocean in 2018, that are an important supplement to satellite-based measurements. For example, these measurements include data on low-level clouds and aerosol composition in the marine boundary layer, which can be used in climate model evaluation efforts.
Mahesh Kovilakam, Larry W. Thomason, Nicholas Ernest, Landon Rieger, Adam Bourassa, and Luis Millán
Earth Syst. Sci. Data, 12, 2607–2634, https://doi.org/10.5194/essd-12-2607-2020, https://doi.org/10.5194/essd-12-2607-2020, 2020
Short summary
Short summary
A robust stratospheric aerosol climatology is important as many global climate models (GCMs) make use of observed aerosol properties to prescribe aerosols in the stratosphere. Here, we present version 2.0 of the GloSSAC data set in which a new methodology is used for the post-2005 data that improves the quality of data in the lower stratosphere, which includes an improved 1020 nm extinction. Additionally, size information from multiwavelength measurements of SAGE III/ISS is provided.
Ethan R. Dale, Stefanie Kremser, Jordis S. Tradowsky, Greg E. Bodeker, Leroy J. Bird, Gustavo Olivares, Guy Coulson, Elizabeth Somervell, Woodrow Pattinson, Jonathan Barte, Jan-Niklas Schmidt, Nariefa Abrahim, Adrian J. McDonald, and Peter Kuma
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-276, https://doi.org/10.5194/essd-2020-276, 2020
Preprint under review for ESSD
Short summary
Short summary
MAPM is a project whose goal is to develop a method to infer particulate matter (PM) emissions maps from PM concentration measurements. In support of MAPM, we conducted a winter field campaign in New Zealand. In addition to two types of instruments measuring PM, an array of other meteorological sensors were deployed, measuring temperature and wind speed, as well as probing the vertical structure of the lower atmosphere. In this article, we present the measurements taken during this campaign.
Greg E. Bodeker, Jan Nitzbon, Jordis S. Tradowsky, Stefanie Kremser, Alexander Schwertheim, and Jared Lewis
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-218, https://doi.org/10.5194/essd-2020-218, 2020
Preprint under review for ESSD
Short summary
Short summary
Ozone in Earth's atmosphere has undergone significant changes since first measured systematically from space in the late 1970s. The purpose of the paper is to present a new, spatially filled, global total column ozone climate data record spanning October 1978 to December 2016. The database is compiled from measurements from 17 different satellite-based instruments where offsets and drifts between the instruments have been corrected using ground-based measurements.
Felix Wrana, Christian von Savigny, Jacob Zalach, and Larry W. Thomason
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-277, https://doi.org/10.5194/amt-2020-277, 2020
Preprint under review for AMT
Short summary
Short summary
In this paper we describe a new method to calculate the size of naturally occurring droplets (aerosols) made mostly of sulfuric acid and water, that can be found roughly in 20 km altitude in the atmosphere. For this we use data from the instrument SAGE III/ISS that is mounted on the International Space Station. We show that our method works well and that the size parameters we calculate are reasonable and can be a valuable addition to better understand the aerosols and their effect on climate.
Ghassan Taha, Robert Loughman, Tong Zhu, Larry Thomason, Jayanta Kar, Landon Rieger, and Adam Bourassa
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-329, https://doi.org/10.5194/amt-2020-329, 2020
Preprint under review for AMT
Short summary
Short summary
This work describes the newly released OMPS LP aerosol extinction profiles multi-wavelength Version 2.0 algorithm and data set. It is shown that the V2.0 aerosols exhibit significant improvements in OMPS LP retrieval performance in the Southern Hemisphere and at lower altitudes. The new product is compared to the SAGE III/ISS, OSIRIS and CALIPSO missions and shown to be of good quality and suitable for scientific studies.
Travis N. Knepp, Larry Thomason, Marilee Roell, Robert Damadeo, Kevin Leavor, Thierry Leblanc, Fernando Chouza, Sergey Khaykin, Sophie Godin-Beekmann, and David Flittner
Atmos. Meas. Tech., 13, 4261–4276, https://doi.org/10.5194/amt-13-4261-2020, https://doi.org/10.5194/amt-13-4261-2020, 2020
Short summary
Short summary
Two common measurements that represent atmospheric aerosol loading are the backscatter and extinction coefficients. Measuring backscatter and extinction coefficients requires different viewing geometries and fundamentally different instrument systems. Further, these coefficients are not directly comparable. We present an algorithm to convert SAGE-observed extinction coefficients to backscatter coefficients for intercomparison with lidar backscatter products, followed by evaluation of the method.
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, and Xiaobin Xu
Earth Syst. Sci. Data, 12, 591–609, https://doi.org/10.5194/essd-12-591-2020, https://doi.org/10.5194/essd-12-591-2020, 2020
Short summary
Short summary
Sulfur-containing trace gases in the atmosphere influence atmospheric chemistry and the energy budget of the Earth by forming aerosols. The ocean is an important source of the most abundant sulfur gas in the atmosphere, carbonyl sulfide (OCS) and its most important precursor carbon disulfide (CS2). In order to assess global variability of the sea surface concentrations of both gases to calculate their oceanic emissions, we have compiled a database of existing shipborne measurements.
Laura E. Revell, Stefanie Kremser, Sean Hartery, Mike Harvey, Jane P. Mulcahy, Jonny Williams, Olaf Morgenstern, Adrian J. McDonald, Vidya Varma, Leroy Bird, and Alex Schuddeboom
Atmos. Chem. Phys., 19, 15447–15466, https://doi.org/10.5194/acp-19-15447-2019, https://doi.org/10.5194/acp-19-15447-2019, 2019
Short summary
Short summary
Aerosols over the Southern Ocean consist primarily of sea salt and sulfate, yet are seasonally biased in our model. We test three sulfate chemistry schemes to investigate DMS oxidation, which forms sulfate aerosol. Simulated cloud droplet number concentrations improve using more complex sulfate chemistry. We also show that a new sea spray aerosol source function, developed from measurements made on a recent Southern Ocean research voyage, improves the model's simulation of aerosol optical depth.
Corinna Kloss, Gwenaël Berthet, Pasquale Sellitto, Felix Ploeger, Silvia Bucci, Sergey Khaykin, Fabrice Jégou, Ghassan Taha, Larry W. Thomason, Brice Barret, Eric Le Flochmoen, Marc von Hobe, Adriana Bossolasco, Nelson Bègue, and Bernard Legras
Atmos. Chem. Phys., 19, 13547–13567, https://doi.org/10.5194/acp-19-13547-2019, https://doi.org/10.5194/acp-19-13547-2019, 2019
Short summary
Short summary
With satellite measurements and transport models, we show that a plume resulting from strong Canadian fires in July/August 2017 was not only distributed throughout the northern/higher latitudes, but also reached the faraway tropics, aided by the circulation of Asian monsoon anticyclone. The regional climate impact in the wider Asian monsoon area in September exceeds the impact of the Asian tropopause aerosol layer by a factor of ~ 3 and compares to that of an advected moderate volcanic eruption.
Corinna Kloss, Marc von Hobe, Michael Höpfner, Kaley A. Walker, Martin Riese, Jörn Ungermann, Birgit Hassler, Stefanie Kremser, and Greg E. Bodeker
Atmos. Meas. Tech., 12, 2129–2138, https://doi.org/10.5194/amt-12-2129-2019, https://doi.org/10.5194/amt-12-2129-2019, 2019
Short summary
Short summary
Are regional and seasonal averages from only a few satellite measurements, all aligned along a specific path, representative? Probably not. We present a method to adjust for the so-called
sampling biasand investigate its influence on derived long-term trends. The method is illustrated and validated for a long-lived trace gas (carbonyl sulfide), and it is shown that the influence of the sampling bias is too small to change scientific conclusions on long-term trends.
Birgit Hassler, Stefanie Kremser, Greg E. Bodeker, Jared Lewis, Kage Nesbit, Sean M. Davis, Martyn P. Chipperfield, Sandip S. Dhomse, and Martin Dameris
Earth Syst. Sci. Data, 10, 1473–1490, https://doi.org/10.5194/essd-10-1473-2018, https://doi.org/10.5194/essd-10-1473-2018, 2018
Sandip S. Dhomse, Douglas Kinnison, Martyn P. Chipperfield, Ross J. Salawitch, Irene Cionni, Michaela I. Hegglin, N. Luke Abraham, Hideharu Akiyoshi, Alex T. Archibald, Ewa M. Bednarz, Slimane Bekki, Peter Braesicke, Neal Butchart, Martin Dameris, Makoto Deushi, Stacey Frith, Steven C. Hardiman, Birgit Hassler, Larry W. Horowitz, Rong-Ming Hu, Patrick Jöckel, Beatrice Josse, Oliver Kirner, Stefanie Kremser, Ulrike Langematz, Jared Lewis, Marion Marchand, Meiyun Lin, Eva Mancini, Virginie Marécal, Martine Michou, Olaf Morgenstern, Fiona M. O'Connor, Luke Oman, Giovanni Pitari, David A. Plummer, John A. Pyle, Laura E. Revell, Eugene Rozanov, Robyn Schofield, Andrea Stenke, Kane Stone, Kengo Sudo, Simone Tilmes, Daniele Visioni, Yousuke Yamashita, and Guang Zeng
Atmos. Chem. Phys., 18, 8409–8438, https://doi.org/10.5194/acp-18-8409-2018, https://doi.org/10.5194/acp-18-8409-2018, 2018
Short summary
Short summary
We analyse simulations from the Chemistry-Climate Model Initiative (CCMI) to estimate the return dates of the stratospheric ozone layer from depletion by anthropogenic chlorine and bromine. The simulations from 20 models project that global column ozone will return to 1980 values in 2047 (uncertainty range 2042–2052). Return dates in other regions vary depending on factors related to climate change and importance of chlorine and bromine. Column ozone in the tropics may continue to decline.
Stefanie Kremser, Jordis S. Tradowsky, Henning W. Rust, and Greg E. Bodeker
Atmos. Meas. Tech., 11, 3021–3029, https://doi.org/10.5194/amt-11-3021-2018, https://doi.org/10.5194/amt-11-3021-2018, 2018
Short summary
Short summary
We investigate the feasibility of quantifying the difference in biases of two instrument types (i.e. radiosondes) by flying the old and new instruments on alternating days, so-called interlacing, to statistically derive the systematic biases between the instruments. While it is in principle possible to estimate the difference between two instrument biases from interlaced measurements, the number of required interlaced flights is very large for reasonable autocorrelation coefficient values.
Larry W. Thomason, Nicholas Ernest, Luis Millán, Landon Rieger, Adam Bourassa, Jean-Paul Vernier, Gloria Manney, Beiping Luo, Florian Arfeuille, and Thomas Peter
Earth Syst. Sci. Data, 10, 469–492, https://doi.org/10.5194/essd-10-469-2018, https://doi.org/10.5194/essd-10-469-2018, 2018
Short summary
Short summary
We describe the construction of a continuous 38-year record of stratospheric aerosol optical properties. The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, provided the input data to the construction of the Climate Model Intercomparison Project stratospheric aerosol forcing data set (1979 to 2014) and is now extended through 2016. GloSSAC focuses on the the SAGE series of instruments through mid-2005 and on OSIRIS and CALIPSO after that time.
Jared Lewis, Greg E. Bodeker, Stefanie Kremser, and Andrew Tait
Geosci. Model Dev., 10, 4563–4575, https://doi.org/10.5194/gmd-10-4563-2017, https://doi.org/10.5194/gmd-10-4563-2017, 2017
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The Ensemble Projections Incorporating Climate model uncertainty (EPIC) method uses climate pattern scaling to expand a small number of daily maximum and minimum surface temperature projections into an ensemble that captures the structural uncertainty between climate models. The method is useful for providing projections of changes in climate to users wishing to investigate the impacts of climate change in a probabilistic and computationally efficient way.
Travis N. Knepp, Richard Querel, Paul Johnston, Larry Thomason, David Flittner, and Joseph M. Zawodny
Atmos. Meas. Tech., 10, 4363–4372, https://doi.org/10.5194/amt-10-4363-2017, https://doi.org/10.5194/amt-10-4363-2017, 2017
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The SAGE-III instrument was launched in February 2017. As with any new instrument, a significant post-launch activity is planned to validate the data products. Validation of trace gases with short photolytic lifetimes is challenging, though careful use of Pandora-type instruments may prove beneficial. A careful intercomparison of Pandora and NIWA's M07 instrument was carried out. Results show Pandora to be well correlated with M07, showing its viability as a validation tool for SAGE science.
Laura E. Revell, Andrea Stenke, Beiping Luo, Stefanie Kremser, Eugene Rozanov, Timofei Sukhodolov, and Thomas Peter
Atmos. Chem. Phys., 17, 13139–13150, https://doi.org/10.5194/acp-17-13139-2017, https://doi.org/10.5194/acp-17-13139-2017, 2017
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Compiling stratospheric aerosol data sets after a major volcanic eruption is difficult as the stratosphere becomes too optically opaque for satellite instruments to measure accurately. We performed ensemble chemistry–climate model simulations with two stratospheric aerosol data sets compiled for two international modelling activities and compared the simulated volcanic aerosol-induced effects from the 1991 Mt Pinatubo eruption on tropical stratospheric temperature and ozone with observations.
Gerald E. Nedoluha, Brian J. Connor, Thomas Mooney, James W. Barrett, Alan Parrish, R. Michael Gomez, Ian Boyd, Douglas R. Allen, Michael Kotkamp, Stefanie Kremser, Terry Deshler, Paul Newman, and Michelle L. Santee
Atmos. Chem. Phys., 16, 10725–10734, https://doi.org/10.5194/acp-16-10725-2016, https://doi.org/10.5194/acp-16-10725-2016, 2016
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Chlorine monoxide (ClO) is central to the formation of the springtime Antarctic ozone hole since it is the catalytic agent in the most important ozone-depleting chemical cycle. We present 20 years of measurements of ClO from the Chlorine monOxide Experiment at Scott Base, Antarctica, and 12 years of measurements from the Aura Microwave Limb Sounder to show that the trends in ClO during the ozone hole season are consistent with changes in stratospheric chlorine observed elsewhere.
Yuting Wang, Nicholas M. Deutscher, Mathias Palm, Thorsten Warneke, Justus Notholt, Ian Baker, Joe Berry, Parvadha Suntharalingam, Nicholas Jones, Emmanuel Mahieu, Bernard Lejeune, James Hannigan, Stephanie Conway, Joseph Mendonca, Kimberly Strong, J. Elliott Campbell, Adam Wolf, and Stefanie Kremser
Atmos. Chem. Phys., 16, 2123–2138, https://doi.org/10.5194/acp-16-2123-2016, https://doi.org/10.5194/acp-16-2123-2016, 2016
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OCS could provide an additional constraint on the carbon cycle. The FTIR networks have existed for more than 20 years. For the first time, we used FTIR measurements of OCS and CO2 to study their relationship. We put the coupled CO2 and OCS land fluxes from the Simple Biosphere Model (SiB) into a transport model, and compared the simulations to the measurements. Looking at OCS and CO2 together inspires some new thoughts in how the biospheric models reproduce the carbon cycle in the real world.
C. von Savigny, F. Ernst, A. Rozanov, R. Hommel, K.-U. Eichmann, V. Rozanov, J. P. Burrows, and L. W. Thomason
Atmos. Meas. Tech., 8, 5223–5235, https://doi.org/10.5194/amt-8-5223-2015, https://doi.org/10.5194/amt-8-5223-2015, 2015
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This article presents validation results for stratospheric aerosol extinction profiles retrieved from limb-scatter measurements with the SCIAMACHY instrument on the Envisat satellite. The SCIAMACHY retrievals are compared to co-located measurements with the SAGE II instrument. Very good agreement to within about 15% is found in a global average sense at altitudes above 15 km. The article also presents sample results on the global morphology of the stratospheric aerosol layer from 2003 to 2011.
G. E. Bodeker and S. Kremser
Atmos. Meas. Tech., 8, 1673–1684, https://doi.org/10.5194/amt-8-1673-2015, https://doi.org/10.5194/amt-8-1673-2015, 2015
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This paper discusses, and demonstrates, the methodology for reliably determining long-term trends in upper air climate data records and how measurement uncertainties should be used in trend analyses. A pedagogical approach is taken whereby numerical recipes for key parts of the trend analysis process are explored. The paper describes the construction of linear least squares regression models for trend analysis and the boot-strapping approach to determine the uncertainty on the derived trends.
R. P. Damadeo, J. M. Zawodny, and L. W. Thomason
Atmos. Chem. Phys., 14, 13455–13470, https://doi.org/10.5194/acp-14-13455-2014, https://doi.org/10.5194/acp-14-13455-2014, 2014
S. S. Dhomse, K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, R. Hommel, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. O'Connor, O. Morgenstern, J. A. Pyle, T. Deshler, J. M. Zawodny, and L. W. Thomason
Atmos. Chem. Phys., 14, 11221–11246, https://doi.org/10.5194/acp-14-11221-2014, https://doi.org/10.5194/acp-14-11221-2014, 2014
M. Rex, S. Kremser, P. Huck, G. Bodeker, I. Wohltmann, M. L. Santee, and P. Bernath
Atmos. Chem. Phys., 14, 6545–6555, https://doi.org/10.5194/acp-14-6545-2014, https://doi.org/10.5194/acp-14-6545-2014, 2014
S. Kremser, G. E. Bodeker, and J. Lewis
Geosci. Model Dev., 7, 249–266, https://doi.org/10.5194/gmd-7-249-2014, https://doi.org/10.5194/gmd-7-249-2014, 2014
R. P. Damadeo, J. M. Zawodny, L. W. Thomason, and N. Iyer
Atmos. Meas. Tech., 6, 3539–3561, https://doi.org/10.5194/amt-6-3539-2013, https://doi.org/10.5194/amt-6-3539-2013, 2013
F. Arfeuille, B. P. Luo, P. Heckendorn, D. Weisenstein, J. X. Sheng, E. Rozanov, M. Schraner, S. Brönnimann, L. W. Thomason, and T. Peter
Atmos. Chem. Phys., 13, 11221–11234, https://doi.org/10.5194/acp-13-11221-2013, https://doi.org/10.5194/acp-13-11221-2013, 2013
E. Kyrölä, M. Laine, V. Sofieva, J. Tamminen, S.-M. Päivärinta, S. Tukiainen, J. Zawodny, and L. Thomason
Atmos. Chem. Phys., 13, 10645–10658, https://doi.org/10.5194/acp-13-10645-2013, https://doi.org/10.5194/acp-13-10645-2013, 2013
L. W. Thomason and J.-P. Vernier
Atmos. Chem. Phys., 13, 4605–4616, https://doi.org/10.5194/acp-13-4605-2013, https://doi.org/10.5194/acp-13-4605-2013, 2013
P. E. Huck, G. E. Bodeker, S. Kremser, A. J. McDonald, M. Rex, and H. Struthers
Atmos. Chem. Phys., 13, 3237–3243, https://doi.org/10.5194/acp-13-3237-2013, https://doi.org/10.5194/acp-13-3237-2013, 2013
M. C. Pitts, L. R. Poole, A. Lambert, and L. W. Thomason
Atmos. Chem. Phys., 13, 2975–2988, https://doi.org/10.5194/acp-13-2975-2013, https://doi.org/10.5194/acp-13-2975-2013, 2013
Related subject area
Atmosphere – Atmospheric Chemistry and Physics
A homogenized daily in situ PM2.5 concentration dataset from the national air quality monitoring network in China
Trade-wind clouds and aerosols characterized by airborne horizontal lidar measurements during the EUREC4A field campaign
Monitoring of solar spectral ultraviolet irradiance in Aosta, Italy
The Global Space-based Stratospheric Aerosol Climatology (version 2.0): 1979–2018
Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018
DSCOVR/EPIC-derived global hourly and daily downward shortwave and photosynthetically active radiation data at 0.1° × 0.1° resolution
The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) airborne field campaign
The HadGEM3-GA7.1 radiative kernel: the importance of a well-resolved stratosphere
Gas flaring activity and black carbon emissions in 2017 derived from the Sentinel-3A Sea and Land Surface Temperature Radiometer
Cloud_cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties
Ship-borne measurements of XCO2, XCH4, and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI
Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring
Year-round record of near-surface ozone and “O3 enhancement events” (OEEs) at Dome A ,East Antarctica
New ground-based Fourier-transform near-infrared solar absorption measurements of XCO2, XCH4 and XCO at Xianghe, China
Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition
A multi-sensor satellite-based archive of the largest SO2 volcanic eruptions since 2006
The Global Methane Budget 2000–2017
A Decade of GOSAT Proxy Satellite CH4 Observations
Database for the kinetics of the gas-phase atmospheric reactions of organic compounds
New continuous total ozone, UV, VIS and PAR measurements at Marambio, 64° S, Antarctica
Greenhouse gas observations from the Northeast Corridor tower network
Marine carbonyl sulfide (OCS) and carbon disulfide (CS2): a compilation of measurements in seawater and the marine boundary layer
A global gridded (0.1° × 0.1°) inventory of methane emissions from oil, gas, and coal exploitation based on national reports to the United Nations Framework Convention on Climate Change
A comprehensive in situ and remote sensing data set from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign
Global atmospheric carbon monoxide budget 2000–2017 inferred from multi-species atmospheric inversions
Atmospheric observations made at Oliktok Point, Alaska, as part of the Profiling at Oliktok Point to Enhance YOPP Experiments (POPEYE) campaign
The Hestia fossil fuel CO2 emissions data product for the Los Angeles megacity (Hestia-LA)
The Utah urban carbon dioxide (UUCON) and Uintah Basin greenhouse gas networks: instrumentation, data, and measurement uncertainty
A machine-learning-based global sea-surface iodide distribution
EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012
Satellite and ground-based measurements of XCO2 in a remote semiarid region of Australia
Revised records of atmospheric trace gases CO2, CH4, N2O, and δ13C-CO2 over the last 2000 years from Law Dome, Antarctica
Contiguous United States wildland fire emission estimates during 2003–2015
The Berkeley High Resolution Tropospheric NO2 product
An updated version of a gap-free monthly mean zonal mean ozone database
PRIMAP-crf: UNFCCC CRF data in IPCC 2006 categories
History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE)
GRACILE: a comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings
A database of 10 min average measurements of solar radiation and meteorological variables in Ostrava, Czech Republic
Vista-LA: Mapping methane-emitting infrastructure in the Los Angeles megacity
A global space-based stratospheric aerosol climatology: 1979–2016
The Alberta smoke plume observation study
The Total Carbon Column Observing Network site description for Lauder, New Zealand
Volcanic stratospheric sulfur injections and aerosol optical depth from 500 BCE to 1900 CE
Global Inventory of Gas Geochemistry Data from Fossil Fuel, Microbial and Burning Sources, version 2017
The Global Energy Balance Archive (GEBA) version 2017: a database for worldwide measured surface energy fluxes
The MSG-SEVIRI-based cloud property data record CLAAS-2
The MUMBA campaign: measurements of urban, marine and biogenic air
Strato-mesospheric carbon monoxide profiles above Kiruna, Sweden (67.8 ° N, 20.4 ° E), since 2008
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Kaixu Bai, Ke Li, Chengbo Wu, Ni-Bin Chang, and Jianping Guo
Earth Syst. Sci. Data, 12, 3067–3080, https://doi.org/10.5194/essd-12-3067-2020, https://doi.org/10.5194/essd-12-3067-2020, 2020
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PM2.5 data from the national air quality monitoring network in China suffered from significant inconsistency and inhomogeneity issues. To create a coherent PM2.5 concentration dataset to advance our understanding of haze pollution and its impact on weather and climate, we homogenized this PM2.5 dataset between 2015 and 2019 after filling in the data gaps. The homogenized PM2.5 data is found to better characterize the variation of aerosol in space and time compared to the original dataset.
Patrick Chazette, Julien Totems, Alexandre Baron, Cyrille Flamant, and Sandrine Bony
Earth Syst. Sci. Data, 12, 2919–2936, https://doi.org/10.5194/essd-12-2919-2020, https://doi.org/10.5194/essd-12-2919-2020, 2020
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To characterize the trade-wind cumuli for climate change purposes, 20 ATR-42 flights were conducted over the tropical Atlantic, off the coast of Barbados from 23 January to 13 February 2020. These flights were conducted as part of the international EUREC4A (Elucidating the role of cloud–circulation coupling in climate) field campaign. A new sampling approach was applied, consisting in using a sidewards-staring lidar. The data are now made available to the international scientific community.
Ilias Fountoulakis, Henri Diémoz, Anna Maria Siani, Gregor Hülsen, and Julian Gröbner
Earth Syst. Sci. Data, 12, 2787–2810, https://doi.org/10.5194/essd-12-2787-2020, https://doi.org/10.5194/essd-12-2787-2020, 2020
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In this study we discuss the procedures and the technical aspects which ensure the high quality of the measurements of the global solar ultraviolet (UV) irradiance performed by a Bentham spectroradiometer located at Aosta–Saint-Christophe (north-western Alps), Italy. This particular instrument is the reference for the Aosta Valley UV monitoring network, which is the first UV monitoring network in Italy. The final spectra constitute one of the most accurate datasets globally.
Mahesh Kovilakam, Larry W. Thomason, Nicholas Ernest, Landon Rieger, Adam Bourassa, and Luis Millán
Earth Syst. Sci. Data, 12, 2607–2634, https://doi.org/10.5194/essd-12-2607-2020, https://doi.org/10.5194/essd-12-2607-2020, 2020
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A robust stratospheric aerosol climatology is important as many global climate models (GCMs) make use of observed aerosol properties to prescribe aerosols in the stratosphere. Here, we present version 2.0 of the GloSSAC data set in which a new methodology is used for the post-2005 data that improves the quality of data in the lower stratosphere, which includes an improved 1020 nm extinction. Additionally, size information from multiwavelength measurements of SAGE III/ISS is provided.
Kazuyuki Miyazaki, Kevin Bowman, Takashi Sekiya, Henk Eskes, Folkert Boersma, Helen Worden, Nathaniel Livesey, Vivienne H. Payne, Kengo Sudo, Yugo Kanaya, Masayuki Takigawa, and Koji Ogochi
Earth Syst. Sci. Data, 12, 2223–2259, https://doi.org/10.5194/essd-12-2223-2020, https://doi.org/10.5194/essd-12-2223-2020, 2020
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This study presents the results from the Tropospheric Chemistry Reanalysis version 2 (TCR-2) for 2005–2018 obtained from the assimilation of multiple satellite measurements of ozone, CO, NO2, HNO3, and SO2 from the OMI, SCIAMACHY, GOME-2, TES, MLS, and MOPITT instruments. The evaluation results demonstrate the capability of the reanalysis products to improve understanding of the processes controlling variations in atmospheric composition, including long-term changes in air quality and emissions.
Dalei Hao, Ghassem R. Asrar, Yelu Zeng, Qing Zhu, Jianguang Wen, Qing Xiao, and Min Chen
Earth Syst. Sci. Data, 12, 2209–2221, https://doi.org/10.5194/essd-12-2209-2020, https://doi.org/10.5194/essd-12-2209-2020, 2020
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We adopted machine-learning models to generate the first global land products of SW–PAR based on DSCOVR/EPIC data. Our products are consistent with ground-based observations, capture the spatiotemporal patterns well and accurately track substantial diurnal, monthly and seasonal variations in SW–PAR. Our products provide a valuable alternative for solar photovoltaic applications and can be used to improve our understanding of the diurnal cycles of terrestrial water, carbon and energy fluxes.
Kirk Knobelspiesse, Henrique M. J. Barbosa, Christine Bradley, Carol Bruegge, Brian Cairns, Gao Chen, Jacek Chowdhary, Anthony Cook, Antonio Di Noia, Bastiaan van Diedenhoven, David J. Diner, Richard Ferrare, Guangliang Fu, Meng Gao, Michael Garay, Johnathan Hair, David Harper, Gerard van Harten, Otto Hasekamp, Mark Helmlinger, Chris Hostetler, Olga Kalashnikova, Andrew Kupchock, Karla Longo De Freitas, Hal Maring, J. Vanderlei Martins, Brent McBride, Matthew McGill, Ken Norlin, Anin Puthukkudy, Brian Rheingans, Jeroen Rietjens, Felix C. Seidel, Arlindo da Silva, Martijn Smit, Snorre Stamnes, Qian Tan, Sebastian Val, Andrzej Wasilewski, Feng Xu, Xiaoguang Xu, and John Yorks
Earth Syst. Sci. Data, 12, 2183–2208, https://doi.org/10.5194/essd-12-2183-2020, https://doi.org/10.5194/essd-12-2183-2020, 2020
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The Aerosol Characterization from Polarimeter and Lidar (ACEPOL) field campaign is a resource for the next generation of spaceborne multi-angle polarimeter (MAP) and lidar missions. Conducted in the fall of 2017 from the Armstrong Flight Research Center in Palmdale, California, four MAP instruments and two lidars were flown on the high-altitude ER-2 aircraft over a variety of scene types and ground assets. Data are freely available to the public and useful for algorithm development and testing.
Christopher J. Smith, Ryan J. Kramer, and Adriana Sima
Earth Syst. Sci. Data, 12, 2157–2168, https://doi.org/10.5194/essd-12-2157-2020, https://doi.org/10.5194/essd-12-2157-2020, 2020
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Radiative kernels allow efficient diagnosis of climate feedbacks and radiative adjustments to an external forcing using standard climate model output. We present a radiative kernel derived from the UK Met Office's HadGEM3-GA7.1 climate model. We show that a highly resolved stratosphere is important for correctly diagnosing the stratospheric temperature adjustment to greenhouse gas forcings and, by extension, the instantaneous radiative forcing.
Alexandre Caseiro, Berit Gehrke, Gernot Rücker, David Leimbach, and Johannes W. Kaiser
Earth Syst. Sci. Data, 12, 2137–2155, https://doi.org/10.5194/essd-12-2137-2020, https://doi.org/10.5194/essd-12-2137-2020, 2020
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Gas flaring is a global phenomenon with local, regional, and global environmental impacts. The present knowledge on gas flaring activity and emissions lacks consistency. Satellite remote sensing offers the possibility of global and consistent coverage of gas flares. In this work, we present the application of a previously published method to the detection and characterisation of gas flares globally. We derive the volumes of gas flared and their respective black carbon emissions.
Caroline A. Poulsen, Gregory R. McGarragh, Gareth E. Thomas, Martin Stengel, Matthew W. Christensen, Adam C. Povey, Simon R. Proud, Elisa Carboni, Rainer Hollmann, and Roy G. Grainger
Earth Syst. Sci. Data, 12, 2121–2135, https://doi.org/10.5194/essd-12-2121-2020, https://doi.org/10.5194/essd-12-2121-2020, 2020
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We have created a satellite cloud and radiation climatology from the ATSR-2 and AATSR on board ERS-2 and Envisat, respectively, which spans the period 1995–2012. The data set was created using a combination of optimal estimation and neural net techniques. The data set was created as part of the ESA Climate Change Initiative program. The data set has been compared with active CALIOP lidar measurements and compared with MAC-LWP AND CERES-EBAF measurements and is shown to have good performance.
Marvin Knapp, Ralph Kleinschek, Frank Hase, Anna Agustí-Panareda, Antje Inness, Jérôme Barré, Jochen Landgraf, Tobias Borsdorff, Stefan Kinne, and André Butz
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-132, https://doi.org/10.5194/essd-2020-132, 2020
Revised manuscript accepted for ESSD
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We developed a ship-borne variant of a remote sensing spectrometer for direct sunlight measurements of column-averaged atmospheric mixing ratios of carbon dioxide, methane, and carbon monoxide. The instrument was deployed on the research vessel Sonne during a longitudinal transect over the Pacific during June 2019. The campaign yielded more than 32 000 observations which compare excellently to atmospheric composition data from a state of the art model (CAMS) and satellite observations (TROPOMI).
Cheng Chen, Oleg Dubovik, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Fabrice Ducos, Yevgeny Derimian, Maurice Herman, Didier Tanré, Lorraine A. Remer, Alexei Lyapustin, Andrew M. Sayer, Robert C. Levy, N. Christina Hsu, Jacques Descloitres, Lei Li, Benjamin Torres, Yana Karol, Milagros Herrera, Marcos Herreras, Michael Aspetsberger, Moritz Wanzenboeck, Lukas Bindreiter, Daniel Marth, Andreas Hangler, and Christian Federspiel
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-224, https://doi.org/10.5194/essd-2020-224, 2020
Revised manuscript accepted for ESSD
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Aerosol products obtained from the POLDER/PARASOL processed by the GRASP algorithm have been released. The entire archive of PARASOL/GRASP aerosol products are evaluated against AERONET and compared with MODIS (DT, DB and MAIAC), as well as PARASOL/Operational products. PARASOL/GRASP aerosol products provide spectral 443–1020 nm AOD correlating well with AERONET with a maximum bias of 0.02. Finally, GRASP shows capability to derive detailed spectral properties, including aerosol absorption.
Minghu Ding, Biao Tian, Michael C. B. Ashley, Davide Putero, Zhenxi Zhu, Lifan Wang, Shihai Yang, Chuanjin Li, and Cunde Xiao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-130, https://doi.org/10.5194/essd-2020-130, 2020
Revised manuscript accepted for ESSD
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Dome A, is one of the harshest environments on Earth.To evaluate the characteristics of near-surface O3, continuous observations were carried out in 2016. The results showed different patterns between coastal and inland Antarctic areas that were characterized by high concentrations in cold seasons and at night. Short-range transport accounted for the O3 enhancement events (OEEs) during summer at DA, rather than efficient local production, which is consistent with previous studies.
Yang Yang, Minqiang Zhou, Bavo Langerock, Mahesh Kumar Sha, Christian Hermans, Ting Wang, Denghui Ji, Corinne Vigouroux, Nicolas Kumps, Gengchen Wang, Martine De Mazière, and Pucai Wang
Earth Syst. Sci. Data, 12, 1679–1696, https://doi.org/10.5194/essd-12-1679-2020, https://doi.org/10.5194/essd-12-1679-2020, 2020
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The column-averaged dry-air mole fractions of CO2 (XCO2), CH4 (XCH4) and CO (XCO) have been measured with a Bruker IFS 125HR Fourier-transform infrared spectrometer (FTIR) at Xianghe (39.75° N, 116.96° E, north China) since June 2018. The instrumental setup follows the guidelines of the Total Carbon Column Observing Network (TCCON). The site and the FTIR system are described in this study. The FTIR measurements are discussed and have been applied for satellite validations.
Nicolas Bellouin, Will Davies, Keith P. Shine, Johannes Quaas, Johannes Mülmenstädt, Piers M. Forster, Chris Smith, Lindsay Lee, Leighton Regayre, Guy Brasseur, Natalia Sudarchikova, Idir Bouarar, Olivier Boucher, and Gunnar Myhre
Earth Syst. Sci. Data, 12, 1649–1677, https://doi.org/10.5194/essd-12-1649-2020, https://doi.org/10.5194/essd-12-1649-2020, 2020
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Quantifying the imbalance in the Earth's energy budget caused by human activities is important to understand and predict climate changes. This study presents new estimates of the imbalance caused by changes in atmospheric concentrations of carbon dioxide, methane, ozone, and particles of pollution. Over the period 2003–2017, the overall imbalance has been positive, indicating that the climate system has gained energy and will warm further.
Pierre-Yves Tournigand, Valeria Cigala, Elzbieta Lasota, Mohammed Hammouti, Lieven Clarisse, Hugues Brenot, Fred Prata, Gottfried Kirchengast, Andrea K. Steiner, and Riccardo Biondi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-109, https://doi.org/10.5194/essd-2020-109, 2020
Revised manuscript accepted for ESSD
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The detection and monitoring of volcanic clouds is an important topic for aviation management, climate and weather forecast. We present in this paper the first comprehensive archive collecting spatial and temporal information about volcanic clouds generated by the eleven largest eruptions of this century. We provide a complete set of state-of-the-art data allowing to develop and test new algorithms contributing to improve the accuracy on the estimation of fundamental volcanic clouds parameters.
Marielle Saunois, Ann R. Stavert, Ben Poulter, Philippe Bousquet, Josep G. Canadell, Robert B. Jackson, Peter A. Raymond, Edward J. Dlugokencky, Sander Houweling, Prabir K. Patra, Philippe Ciais, Vivek K. Arora, David Bastviken, Peter Bergamaschi, Donald R. Blake, Gordon Brailsford, Lori Bruhwiler, Kimberly M. Carlson, Mark Carrol, Simona Castaldi, Naveen Chandra, Cyril Crevoisier, Patrick M. Crill, Kristofer Covey, Charles L. Curry, Giuseppe Etiope, Christian Frankenberg, Nicola Gedney, Michaela I. Hegglin, Lena Höglund-Isaksson, Gustaf Hugelius, Misa Ishizawa, Akihiko Ito, Greet Janssens-Maenhout, Katherine M. Jensen, Fortunat Joos, Thomas Kleinen, Paul B. Krummel, Ray L. Langenfelds, Goulven G. Laruelle, Licheng Liu, Toshinobu Machida, Shamil Maksyutov, Kyle C. McDonald, Joe McNorton, Paul A. Miller, Joe R. Melton, Isamu Morino, Jurek Müller, Fabiola Murguia-Flores, Vaishali Naik, Yosuke Niwa, Sergio Noce, Simon O'Doherty, Robert J. Parker, Changhui Peng, Shushi Peng, Glen P. Peters, Catherine Prigent, Ronald Prinn, Michel Ramonet, Pierre Regnier, William J. Riley, Judith A. Rosentreter, Arjo Segers, Isobel J. Simpson, Hao Shi, Steven J. Smith, L. Paul Steele, Brett F. Thornton, Hanqin Tian, Yasunori Tohjima, Francesco N. Tubiello, Aki Tsuruta, Nicolas Viovy, Apostolos Voulgarakis, Thomas S. Weber, Michiel van Weele, Guido R. van der Werf, Ray F. Weiss, Doug Worthy, Debra Wunch, Yi Yin, Yukio Yoshida, Wenxin Zhang, Zhen Zhang, Yuanhong Zhao, Bo Zheng, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
Earth Syst. Sci. Data, 12, 1561–1623, https://doi.org/10.5194/essd-12-1561-2020, https://doi.org/10.5194/essd-12-1561-2020, 2020
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Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. We have established a consortium of multidisciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate new research aimed at improving and regularly updating the global methane budget. This is the second version of the review dedicated to the decadal methane budget, integrating results of top-down and bottom-up estimates.
Robert J. Parker, Alex Webb, Hartmut Boesch, Peter Somkuti, Rocio Barrio Guillo, Antonio Di Noia, Nikoleta Kalaitzi, Jasdeep Anand, Peter Bergamaschi, Frederic Chevallier, Paul I. Palmer, Liang Feng, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, Christof Petri, David F. Pollard, Coleen Roehl, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Te, Voltaire A. Velazco, Thorsten Warneke, Paul O. Wennberg, and Debra Wunch
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-114, https://doi.org/10.5194/essd-2020-114, 2020
Revised manuscript accepted for ESSD
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This work presents the latest release of the University of Leicester GOSAT methane data and acts as the definitive description of this dataset. We detail the processing, validation and evaluation involved in producing this data and highlight its many applications. With now over a decade of global atmospheric methane observations, this dataset has helped, and will continue to help, us better understand the global methane budget and investigate how it may respond to a future changing climate.
Max R. McGillen, William P. L. Carter, Abdelwahid Mellouki, John J. Orlando, Bénédicte Picquet-Varrault, and Timothy J. Wallington
Earth Syst. Sci. Data, 12, 1203–1216, https://doi.org/10.5194/essd-12-1203-2020, https://doi.org/10.5194/essd-12-1203-2020, 2020
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The gas-phase reactions of organic compounds in the atmosphere are a crucial step in the degradation of anthropogenic and biogenic emissions and the formation of secondary pollutants. This work is an attempt to produce a dataset that is as comprehensive as possible regarding the multitude of chemicals that react in the atmosphere. We find that we are able to make substantial improvements upon previous compendia and that this progress will help improve our understanding of atmospheric chemistry.
Kaisa Lakkala, Margit Aun, Ricardo Sanchez, Germar Bernhard, Eija Asmi, Outi Meinander, Fernando Nollas, Gregor Hülsen, Tomi Karppinen, Veijo Aaltonen, Antti Arola, and Gerrit de Leeuw
Earth Syst. Sci. Data, 12, 947–960, https://doi.org/10.5194/essd-12-947-2020, https://doi.org/10.5194/essd-12-947-2020, 2020
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A GUV multi-filter radiometer was set up at Marambio, 64° S, 56° W, Antarctica, in 2017. The instrument continuously measures ultraviolet (UV) radiation, visible (VIS) radiation and photosynthetically active radiation (PAR). The measurements are designed for providing high-quality long-term time series that can be used to assess the impact of global climate change in the Antarctic region. The data from the last 5 d are plotted and updated daily.
Anna Karion, William Callahan, Michael Stock, Steve Prinzivalli, Kristal R. Verhulst, Jooil Kim, Peter K. Salameh, Israel Lopez-Coto, and James Whetstone
Earth Syst. Sci. Data, 12, 699–717, https://doi.org/10.5194/essd-12-699-2020, https://doi.org/10.5194/essd-12-699-2020, 2020
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Our paper presents atmospheric concentrations of carbon dioxide and methane in the northeastern United States. We also describe the collection, quality control, and uncertainty estimation methods associated with the observations. The network is composed of 23 tower-based stations, including a dense sub-network in the Washington, DC, and Baltimore, Maryland, urban areas. Observations can be used to assess greenhouse gas emissions from these cities and regions.
Sinikka T. Lennartz, Christa A. Marandino, Marc von Hobe, Meinrat O. Andreae, Kazushi Aranami, Elliot Atlas, Max Berkelhammer, Heinz Bingemer, Dennis Booge, Gregory Cutter, Pau Cortes, Stefanie Kremser, Cliff S. Law, Andrew Marriner, Rafel Simó, Birgit Quack, Günther Uher, Huixiang Xie, and Xiaobin Xu
Earth Syst. Sci. Data, 12, 591–609, https://doi.org/10.5194/essd-12-591-2020, https://doi.org/10.5194/essd-12-591-2020, 2020
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Sulfur-containing trace gases in the atmosphere influence atmospheric chemistry and the energy budget of the Earth by forming aerosols. The ocean is an important source of the most abundant sulfur gas in the atmosphere, carbonyl sulfide (OCS) and its most important precursor carbon disulfide (CS2). In order to assess global variability of the sea surface concentrations of both gases to calculate their oceanic emissions, we have compiled a database of existing shipborne measurements.
Tia R. Scarpelli, Daniel J. Jacob, Joannes D. Maasakkers, Melissa P. Sulprizio, Jian-Xiong Sheng, Kelly Rose, Lucy Romeo, John R. Worden, and Greet Janssens-Maenhout
Earth Syst. Sci. Data, 12, 563–575, https://doi.org/10.5194/essd-12-563-2020, https://doi.org/10.5194/essd-12-563-2020, 2020
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Methane, a potent greenhouse gas, is emitted through the exploitation of oil, gas, and coal resources, and many efforts to reduce emissions have targeted these sources. We have created a global inventory of oil, gas, and coal methane emissions based on country reporting to the United Nations. The inventory can be used along with satellite observations of methane to better understand the contribution of these sources to global emissions and to identify potential biases in emissions reporting.
André Ehrlich, Manfred Wendisch, Christof Lüpkes, Matthias Buschmann, Heiko Bozem, Dmitri Chechin, Hans-Christian Clemen, Régis Dupuy, Olliver Eppers, Jörg Hartmann, Andreas Herber, Evelyn Jäkel, Emma Järvinen, Olivier Jourdan, Udo Kästner, Leif-Leonard Kliesch, Franziska Köllner, Mario Mech, Stephan Mertes, Roland Neuber, Elena Ruiz-Donoso, Martin Schnaiter, Johannes Schneider, Johannes Stapf, and Marco Zanatta
Earth Syst. Sci. Data, 11, 1853–1881, https://doi.org/10.5194/essd-11-1853-2019, https://doi.org/10.5194/essd-11-1853-2019, 2019
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During the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign, two research aircraft (Polar 5 and 6) jointly performed 22 research flights over the transition zone between open ocean and closed sea ice. The data set combines remote sensing and in situ measurement of cloud, aerosol, and trace gas properties, as well as turbulent and radiative fluxes, which will be used to study Arctic boundary layer and mid-level clouds and their role in Arctic amplification.
Bo Zheng, Frederic Chevallier, Yi Yin, Philippe Ciais, Audrey Fortems-Cheiney, Merritt N. Deeter, Robert J. Parker, Yilong Wang, Helen M. Worden, and Yuanhong Zhao
Earth Syst. Sci. Data, 11, 1411–1436, https://doi.org/10.5194/essd-11-1411-2019, https://doi.org/10.5194/essd-11-1411-2019, 2019
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We use a multi-species atmospheric Bayesian inversion approach to attribute satellite-observed atmospheric carbon monoxide (CO) variations to its sources and sinks in order to achieve a full closure of the global CO budget during 2000–2017. We identify a declining trend in the global CO budget since 2000, driven by reduced anthropogenic emissions in the US, Europe, and China, as well as by reduced biomass burning emissions globally, especially in equatorial Africa.
Gijs de Boer, Darielle Dexheimer, Fan Mei, John Hubbe, Casey Longbottom, Peter J. Carroll, Monty Apple, Lexie Goldberger, David Oaks, Justin Lapierre, Michael Crume, Nathan Bernard, Matthew D. Shupe, Amy Solomon, Janet Intrieri, Dale Lawrence, Abhiram Doddi, Donna J. Holdridge, Michael Hubbell, Mark D. Ivey, and Beat Schmid
Earth Syst. Sci. Data, 11, 1349–1362, https://doi.org/10.5194/essd-11-1349-2019, https://doi.org/10.5194/essd-11-1349-2019, 2019
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This paper provides a summary of observations collected at Oliktok Point, Alaska, as part of the Profiling at Oliktok Point to Enhance YOPP Experiments (POPEYE) campaign. The Year of Polar Prediction (YOPP) is a multi-year concentrated effort to improve forecasting capabilities at high latitudes across a variety of timescales. POPEYE observations include atmospheric data collected using unmanned aircraft, tethered balloons, and radiosondes, made in parallel with routine measurements at the site.
Kevin R. Gurney, Risa Patarasuk, Jianming Liang, Yang Song, Darragh O'Keeffe, Preeti Rao, James R. Whetstone, Riley M. Duren, Annmarie Eldering, and Charles Miller
Earth Syst. Sci. Data, 11, 1309–1335, https://doi.org/10.5194/essd-11-1309-2019, https://doi.org/10.5194/essd-11-1309-2019, 2019
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The
Hestia Projectis an effort to provide bottom-up fossil fuel (FFCO2) emissions at the urban scale with building, street, and hourly space–time resolution. Here, we report on the latest urban area for which a Hestia estimate has been completed – the Los Angeles megacity. We provide a complete description of the methods used to build the Hestia FFCO2 emissions data product and general analysis of the numerical results.
Ryan Bares, Logan Mitchell, Ben Fasoli, David R. Bowling, Douglas Catharine, Maria Garcia, Byron Eng, Jim Ehleringer, and John C. Lin
Earth Syst. Sci. Data, 11, 1291–1308, https://doi.org/10.5194/essd-11-1291-2019, https://doi.org/10.5194/essd-11-1291-2019, 2019
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We overview two near-surface trace gas measurement networks with the aim of describing procedures, locations, and data structure with sufficient detail to serve as an in-depth method reference. Additionally, we developed a novel method for quantifying measurement uncertainty produced by these networks providing insight into appropriate applications of the data and differences in data collection methods. This uncertainty metric is broadly applicable to many trace gas and air quality datasets.
Tomás Sherwen, Rosie J. Chance, Liselotte Tinel, Daniel Ellis, Mat J. Evans, and Lucy J. Carpenter
Earth Syst. Sci. Data, 11, 1239–1262, https://doi.org/10.5194/essd-11-1239-2019, https://doi.org/10.5194/essd-11-1239-2019, 2019
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Iodine plays an important role in the Earth system, as a nutrient to the biosphere and by changing the concentrations of climate and air-quality species. However, there are uncertainties on the magnitude of iodine’s role, and a key uncertainty is our understanding of iodide in the global sea-surface. Here we take a data-driven approach using a machine learning algorithm to convert a sparse set of sea-surface iodide observations into a spatially and temporally resolved dataset for use in models.
Greet Janssens-Maenhout, Monica Crippa, Diego Guizzardi, Marilena Muntean, Edwin Schaaf, Frank Dentener, Peter Bergamaschi, Valerio Pagliari, Jos G. J. Olivier, Jeroen A. H. W. Peters, John A. van Aardenne, Suvi Monni, Ulrike Doering, A. M. Roxana Petrescu, Efisio Solazzo, and Gabriel D. Oreggioni
Earth Syst. Sci. Data, 11, 959–1002, https://doi.org/10.5194/essd-11-959-2019, https://doi.org/10.5194/essd-11-959-2019, 2019
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In support of the Paris Agreement, EDGARv4.3.2 provides global annual estimates, broken down into IPCC-compliant source-sector levels, from 1970 to 2012. The anthropogenic CO2, CH4 and N2O emissions were calculated bottom up with international statistics and emission factors for 226 countries and spatially distributed. EDGARv4.3.2 is input for the top-down modelling of the Global Carbon Project and EU policy-making, needing GHG emission estimates for each country at the climate negotiations.
Voltaire A. Velazco, Nicholas M. Deutscher, Isamu Morino, Osamu Uchino, Beata Bukosa, Masataka Ajiro, Akihide Kamei, Nicholas B. Jones, Clare Paton-Walsh, and David W. T. Griffith
Earth Syst. Sci. Data, 11, 935–946, https://doi.org/10.5194/essd-11-935-2019, https://doi.org/10.5194/essd-11-935-2019, 2019
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We present ground-based measurements of atmospheric carbon dioxide columns from a portable spectrometer taken in a semiarid region of Australia. We compared these measurements to space-based retrievals from the Greenhouse Gases Observing Satellite (GOSAT) and calibrated them against a Total Carbon Column Observing Network (TCCON) instrument to ascertain a retrieval bias. We also present the unique opportunities that Central Australia could offer in the context of satellite product validation.
Mauro Rubino, David M. Etheridge, David P. Thornton, Russell Howden, Colin E. Allison, Roger J. Francey, Ray L. Langenfelds, L. Paul Steele, Cathy M. Trudinger, Darren A. Spencer, Mark A. J. Curran, Tas D. van Ommen, and Andrew M. Smith
Earth Syst. Sci. Data, 11, 473–492, https://doi.org/10.5194/essd-11-473-2019, https://doi.org/10.5194/essd-11-473-2019, 2019
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The scientific community uses numerical models to predict future atmospheric levels of greenhouse gases causing global warming. This study presents the history of atmospheric concentration of the major greenhouse gases over the last 2000 years measured in ice core bubbles from the site of Law Dome (East Antarctica). The associated dataset is useful to test climate models and help provide accurate predictions of future climate change.
Shawn P. Urbanski, Matt C. Reeves, Rachel E. Corley, Robin P. Silverstein, and Wei Min Hao
Earth Syst. Sci. Data, 10, 2241–2274, https://doi.org/10.5194/essd-10-2241-2018, https://doi.org/10.5194/essd-10-2241-2018, 2018
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Wildfires are a major source of air pollutants in the US that trigger pollution episodes and challenge air regulators’ efforts to meet air quality standards. Improved wildfire emission estimates are needed to quantify air pollution from fires to guide decision-making activities related to the control of anthropogenic sources. To address the need of air regulators for improved wildfire emission estimates, we developed an inventory of daily US wildfire pollutant emissions for 2003–2015.
Joshua L. Laughner, Qindan Zhu, and Ronald C. Cohen
Earth Syst. Sci. Data, 10, 2069–2095, https://doi.org/10.5194/essd-10-2069-2018, https://doi.org/10.5194/essd-10-2069-2018, 2018
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This paper describes the upgrade of the BErkeley High Resolution (BEHR) NO2 retrieval from versions 2.1C to 3.0B. This retrieval measures NO2 over the continental US using input data at higher spatial and temporal resolution than global retrievals. We analyze how each part of the upgrade affected the measured NO2. Most interestingly, we find that using NO2 profiles at daily (rather than monthly) time resolution does lead to differences in multi-month averages for regions affected by lightning.
Birgit Hassler, Stefanie Kremser, Greg E. Bodeker, Jared Lewis, Kage Nesbit, Sean M. Davis, Martyn P. Chipperfield, Sandip S. Dhomse, and Martin Dameris
Earth Syst. Sci. Data, 10, 1473–1490, https://doi.org/10.5194/essd-10-1473-2018, https://doi.org/10.5194/essd-10-1473-2018, 2018
M. Louise Jeffery, Johannes Gütschow, Robert Gieseke, and Ronja Gebel
Earth Syst. Sci. Data, 10, 1427–1438, https://doi.org/10.5194/essd-10-1427-2018, https://doi.org/10.5194/essd-10-1427-2018, 2018
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Developed countries are required to report detailed greenhouse gas emissions data to the UN on an annual basis. The reporting tables are complex, do not fit well with existing hierarchical reporting guidelines, and are not machine-readable. We present a processed version of the reported data in a consistent hierarchy, and in a format that is machine-readable and easy-to-use. The emissions data are also aggregated into
basketsof gases using global warming equivalency metrics from IPCC reports.
Ronald G. Prinn, Ray F. Weiss, Jgor Arduini, Tim Arnold, H. Langley DeWitt, Paul J. Fraser, Anita L. Ganesan, Jimmy Gasore, Christina M. Harth, Ove Hermansen, Jooil Kim, Paul B. Krummel, Shanlan Li, Zoë M. Loh, Chris R. Lunder, Michela Maione, Alistair J. Manning, Ben R. Miller, Blagoj Mitrevski, Jens Mühle, Simon O'Doherty, Sunyoung Park, Stefan Reimann, Matt Rigby, Takuya Saito, Peter K. Salameh, Roland Schmidt, Peter G. Simmonds, L. Paul Steele, Martin K. Vollmer, Ray H. Wang, Bo Yao, Yoko Yokouchi, Dickon Young, and Lingxi Zhou
Earth Syst. Sci. Data, 10, 985–1018, https://doi.org/10.5194/essd-10-985-2018, https://doi.org/10.5194/essd-10-985-2018, 2018
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We present the data and accomplishments of the multinational global atmospheric measurement program AGAGE (Advanced Global Atmospheric Gases Experiment). At high frequency and at multiple sites, AGAGE measures all the important chemicals in the Montreal Protocol for the protection of the ozone layer and the non-carbon-dioxide gases assessed by the Intergovernmental Panel on Climate Change. AGAGE uses these data to estimate sources and sinks of all these gases and has operated since 1978.
Manfred Ern, Quang Thai Trinh, Peter Preusse, John C. Gille, Martin G. Mlynczak, James M. Russell III, and Martin Riese
Earth Syst. Sci. Data, 10, 857–892, https://doi.org/10.5194/essd-10-857-2018, https://doi.org/10.5194/essd-10-857-2018, 2018
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The gravity wave climatology based on atmospheric infrared limb emissions observed by satellite (GRACILE) is a global data set of gravity wave (GW) distributions in the stratosphere and the mesosphere observed by the infrared limb sounding satellite instruments HIRDLS and SABER. Typical distributions of multiple GW parameters are provided. Possible applications are scientific studies, comparison with other observations, or comparison with resolved or parametrized GW distributions in models.
Marie Opálková, Martin Navrátil, Vladimír Špunda, Philippe Blanc, and Lucien Wald
Earth Syst. Sci. Data, 10, 837–846, https://doi.org/10.5194/essd-10-837-2018, https://doi.org/10.5194/essd-10-837-2018, 2018
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Files with irradiances of a few spectral regions of incident solar radiation and some meteorological variables including concentrations of some air pollutants measured for 2.5 years at 3 stations in Ostrava (CZ) were prepared. Special attention was given to the data quality and the process of quality check was described. This database offers an ensemble of data with high temporal resolution and creates a source on radiation in relation with environment and vegetation in polluted areas of cities.
Valerie Carranza, Talha Rafiq, Isis Frausto-Vicencio, Francesca M. Hopkins, Kristal R. Verhulst, Preeti Rao, Riley M. Duren, and Charles E. Miller
Earth Syst. Sci. Data, 10, 653–676, https://doi.org/10.5194/essd-10-653-2018, https://doi.org/10.5194/essd-10-653-2018, 2018
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We present a GIS-based approach to mapping methane emissions in areas with dense, complex source mixtures. The Vista-LA database classifies >33 000 potential methane-emitting features concentrated on <1% of the land area in California's South Coast Air Basin. The database is used for planning and analysis of atmospheric measurements, including airborne remote sensing campaigns and on-road mobile surveys focused on methane "hot-spot" detection, and development of a regional emissions inventory.
Larry W. Thomason, Nicholas Ernest, Luis Millán, Landon Rieger, Adam Bourassa, Jean-Paul Vernier, Gloria Manney, Beiping Luo, Florian Arfeuille, and Thomas Peter
Earth Syst. Sci. Data, 10, 469–492, https://doi.org/10.5194/essd-10-469-2018, https://doi.org/10.5194/essd-10-469-2018, 2018
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We describe the construction of a continuous 38-year record of stratospheric aerosol optical properties. The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, provided the input data to the construction of the Climate Model Intercomparison Project stratospheric aerosol forcing data set (1979 to 2014) and is now extended through 2016. GloSSAC focuses on the the SAGE series of instruments through mid-2005 and on OSIRIS and CALIPSO after that time.
Kerry Anderson, Al Pankratz, Curtis Mooney, and Kelly Fleetham
Earth Syst. Sci. Data, 10, 325–337, https://doi.org/10.5194/essd-10-325-2018, https://doi.org/10.5194/essd-10-325-2018, 2018
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A field project was conducted to measure smoke plumes from wildland fires in Alberta. This study used handheld inclinometers and photos taken at fire lookout towers. Observations of 222 plumes were collected from 2010 to 2015.
Unanticipated issues were uncovered including instrument limitations, environmental conditions, and subjectivity of observations. Despite these problems, the data set showed responses to fire behaviour conditions consistent with processes leading to plume rise.
Unanticipated issues were uncovered including instrument limitations, environmental conditions, and subjectivity of observations. Despite these problems, the data set showed responses to fire behaviour conditions consistent with processes leading to plume rise.
David F. Pollard, Vanessa Sherlock, John Robinson, Nicholas M. Deutscher, Brian Connor, and Hisako Shiona
Earth Syst. Sci. Data, 9, 977–992, https://doi.org/10.5194/essd-9-977-2017, https://doi.org/10.5194/essd-9-977-2017, 2017
Matthew Toohey and Michael Sigl
Earth Syst. Sci. Data, 9, 809–831, https://doi.org/10.5194/essd-9-809-2017, https://doi.org/10.5194/essd-9-809-2017, 2017
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Based on ice core sulfate records from Greenland and Antarctica, the eVolv2k database provides volcanic stratospheric sulfur injection estimates from 500 BCE to 1900 CE along with reconstructed aerosol optical properties needed for climate model simulations. The eVolv2k database constitutes a significant update to prior ice-core-based volcanic forcing reconstructions for climate models, improving the accuracy of volcanic forcing, especially before 1250 CE, and extending the record by 1000 years.
Owen A. Sherwood, Stefan Schwietzke, Victoria A. Arling, and Giuseppe Etiope
Earth Syst. Sci. Data, 9, 639–656, https://doi.org/10.5194/essd-9-639-2017, https://doi.org/10.5194/essd-9-639-2017, 2017
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Multiple natural and anthropogenic emissions sources contribute to the global atmospheric methane budget. Methane emissions are constrained, in part, by inverse (top-down) models that incorporate data on the concentration and stable carbon and hydrogen isotopic ratios of methane from different sources. To aid in these modeling efforts, we present a geochemical database comprising over 10 000 discrete samples from fossil and non-fossil fuel sources of methane.
Martin Wild, Atsumu Ohmura, Christoph Schär, Guido Müller, Doris Folini, Matthias Schwarz, Maria Zyta Hakuba, and Arturo Sanchez-Lorenzo
Earth Syst. Sci. Data, 9, 601–613, https://doi.org/10.5194/essd-9-601-2017, https://doi.org/10.5194/essd-9-601-2017, 2017
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The Global Energy Balance Archive (GEBA) is a database for the central storage of worldwide measured energy fluxes at the Earth's surface, maintained at ETH Zurich (Switzerland). This paper documents the status of the GEBA version 2017 database, presents the new web interface and user access, and reviews the scientific impact that GEBA data had in various applications. GEBA has continuously been expanded and updated and to date contains around 500 000 monthly mean entries from 2500 locations.
Nikos Benas, Stephan Finkensieper, Martin Stengel, Gerd-Jan van Zadelhoff, Timo Hanschmann, Rainer Hollmann, and Jan Fokke Meirink
Earth Syst. Sci. Data, 9, 415–434, https://doi.org/10.5194/essd-9-415-2017, https://doi.org/10.5194/essd-9-415-2017, 2017
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This study focuses on an evaluation of CLAAS-2 (Cloud property dAtAset using SEVIRI, Edition 2), which was created based on observations from geostationary Meteosat satellites. Using a variety of reference datasets, very good overall agreement is found. This suggests the usefulness of CLAAS-2 in applications ranging from high spatial and temporal resolution cloud process studies to the evaluation of regional climate models.
Clare Paton-Walsh, Élise-Andrée Guérette, Dagmar Kubistin, Ruhi Humphries, Stephen R. Wilson, Doreena Dominick, Ian Galbally, Rebecca Buchholz, Mahendra Bhujel, Scott Chambers, Min Cheng, Martin Cope, Perry Davy, Kathryn Emmerson, David W. T. Griffith, Alan Griffiths, Melita Keywood, Sarah Lawson, Suzie Molloy, Géraldine Rea, Paul Selleck, Xue Shi, Jack Simmons, and Voltaire Velazco
Earth Syst. Sci. Data, 9, 349–362, https://doi.org/10.5194/essd-9-349-2017, https://doi.org/10.5194/essd-9-349-2017, 2017
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The MUMBA campaign provides a detailed snapshot of the atmospheric composition in an urban coastal environment with strong biogenic sources nearby. This campaign involved collaboration between several institutes and was undertaken to provide a case study for atmospheric models in a poorly sampled region of the globe.
Niall J. Ryan, Mathias Palm, Uwe Raffalski, Richard Larsson, Gloria Manney, Luis Millán, and Justus Notholt
Earth Syst. Sci. Data, 9, 77–89, https://doi.org/10.5194/essd-9-77-2017, https://doi.org/10.5194/essd-9-77-2017, 2017
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We present a self-consistent data set of carbon monoxide (CO) in the Arctic middle atmosphere above Kiruna, Sweden, between 2008 and 2015. The data are retrieved from measurements made by the ground-based radiometer, KIMRA, and are compared to coincident CO data measured by the satellite instrument MLS. KIMRA shows agreement with MLS over the altitude range in which KIMRA is sensitive (48–84 km) and the data show the signatures of dynamic processes such as sudden stratospheric warmings.
Sabine Barthlott, Matthias Schneider, Frank Hase, Thomas Blumenstock, Matthäus Kiel, Darko Dubravica, Omaira E. García, Eliezer Sepúlveda, Gizaw Mengistu Tsidu, Samuel Takele Kenea, Michel Grutter, Eddy F. Plaza-Medina, Wolfgang Stremme, Kim Strong, Dan Weaver, Mathias Palm, Thorsten Warneke, Justus Notholt, Emmanuel Mahieu, Christian Servais, Nicholas Jones, David W. T. Griffith, Dan Smale, and John Robinson
Earth Syst. Sci. Data, 9, 15–29, https://doi.org/10.5194/essd-9-15-2017, https://doi.org/10.5194/essd-9-15-2017, 2017
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Tropospheric water vapour isotopologue distributions have been consistently generated and quality-filtered for 12 globally distributed ground-based FTIR sites. The products are provided as two data types. The first type is best-suited for tropospheric water vapour distribution studies. The second type is needed for analysing moisture pathways by means of {H2O,δD}-pair distributions. This paper describes the data types and gives recommendations for their correct usage.
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Short summary
Since space-based measurements of stratospheric composition started, a plethora of
generally acceptedscreening methods have been developed and tailored to each measurement system and to each anticipated use of the data. These methods are often inconsistent, ad hoc, and untraceable and are seldom revised even after significant revisions to the data themselves. Here we developed new and simplified SAGE II ozone data usage rules that are based on how the measurements were made.
Since space-based measurements of stratospheric composition started, a plethora of
generally...
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