Articles | Volume 10, issue 4
https://doi.org/10.5194/essd-10-2241-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-2241-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
10 Dec 2018
Review article |
| 10 Dec 2018
| 10 Dec 2018
Contiguous United States wildland fire emission estimates during 2003–2015
US Forest Service, Rocky Mountain Research Station, Missoula Fire
Sciences Laboratory, Missoula, MT 59808, USA
Matt C. Reeves
US Forest Service, Rocky Mountain Research Station, Forestry Sciences
Laboratory, Missoula, MT 59801, USA
Rachel E. Corley
US Forest Service, Rocky Mountain Research Station, Missoula Fire
Sciences Laboratory, Missoula, MT 59808, USA
College of Forestry and Conservation, University of Montana,
Missoula, MT 59812, USA
Robin P. Silverstein
US Forest Service, Rocky Mountain Research Station, Missoula Fire
Sciences Laboratory, Missoula, MT 59808, USA
College of Forestry and Conservation, University of Montana,
Missoula, MT 59812, USA
currently at: Montana Department of Public Health and Human Services,
Helena, MT 59620, USA
Wei Min Hao
US Forest Service, Rocky Mountain Research Station, Missoula Fire
Sciences Laboratory, Missoula, MT 59808, USA
Related authors
Wei Min Hao, Alexander Petkov, Bryce L. Nordgren, Rachel E. Corley, Robin P. Silverstein, Shawn P. Urbanski, Nikolaos Evangeliou, Yves Balkanski, and Bradley L. Kinder
Geosci. Model Dev., 9, 4461–4474, https://doi.org/10.5194/gmd-9-4461-2016, https://doi.org/10.5194/gmd-9-4461-2016, 2016
Short summary
Short summary
We developed the most comprehensive dataset of daily BC emissions from forest, grassland, shrubland, and savanna fires over northern Eurasia at a 500 m × 500 m resolution from 2002 to 2015. We examined the daily, seasonal, and interannual variability of BC emissions from fires in different ecosystems in the geopolitical regions of Russia, eastern Asia, central and western Asia, and Europe. The results are essential for modeling the transport and deposition of fire-emitted BC to the Arctic.
N. Evangeliou, Y. Balkanski, W. M. Hao, A. Petkov, R. P. Silverstein, R. Corley, B. L. Nordgren, S. P. Urbanski, S. Eckhardt, A. Stohl, P. Tunved, S. Crepinsek, A. Jefferson, S. Sharma, J. K. Nøjgaard, and H. Skov
Atmos. Chem. Phys., 16, 7587–7604, https://doi.org/10.5194/acp-16-7587-2016, https://doi.org/10.5194/acp-16-7587-2016, 2016
Short summary
Short summary
In this study, we focused on how vegetation fires that occurred in northern Eurasia during the period 2002–2013 influenced the budget of BC in the Arctic. An average area of 250 000 km2 yr−1 was burned in northern Eurasia and the global emissions of BC ranged between 8.0 and 9.5 Tg yr−1, while 102 ± 29 kt yr−1 BC from biomass burning was deposited on the Arctic. About 46 % of the Arctic BC from vegetation fires originated from Siberia, 6 % from Kazakhstan, 5 % from Europe, and about 1 % from Mon
A. A. May, T. Lee, G. R. McMeeking, S. Akagi, A. P. Sullivan, S. Urbanski, R. J. Yokelson, and S. M. Kreidenweis
Atmos. Chem. Phys., 15, 6323–6335, https://doi.org/10.5194/acp-15-6323-2015, https://doi.org/10.5194/acp-15-6323-2015, 2015
Short summary
Short summary
Smoke plumes from some prescribed fires in the southeastern United States were sampled via aircraft to observe changes in organic aerosol (OA) with atmospheric transport. These plumes underwent rapid mixing, and, hence, substantial dilution with background air occurred. Dilution-driven evaporation appears to be the primary driver of OA transformations within the sampled plumes rather than photochemistry.
A. P. Sullivan, A. A. May, T. Lee, G. R. McMeeking, S. M. Kreidenweis, S. K. Akagi, R. J. Yokelson, S. P. Urbanski, and J. L. Collett Jr.
Atmos. Chem. Phys., 14, 10535–10545, https://doi.org/10.5194/acp-14-10535-2014, https://doi.org/10.5194/acp-14-10535-2014, 2014
S. P. Urbanski
Atmos. Chem. Phys., 13, 7241–7262, https://doi.org/10.5194/acp-13-7241-2013, https://doi.org/10.5194/acp-13-7241-2013, 2013
S. K. Akagi, R. J. Yokelson, I. R. Burling, S. Meinardi, I. Simpson, D. R. Blake, G. R. McMeeking, A. Sullivan, T. Lee, S. Kreidenweis, S. Urbanski, J. Reardon, D. W. T. Griffith, T. J. Johnson, and D. R. Weise
Atmos. Chem. Phys., 13, 1141–1165, https://doi.org/10.5194/acp-13-1141-2013, https://doi.org/10.5194/acp-13-1141-2013, 2013
R. J. Yokelson, I. R. Burling, J. B. Gilman, C. Warneke, C. E. Stockwell, J. de Gouw, S. K. Akagi, S. P. Urbanski, P. Veres, J. M. Roberts, W. C. Kuster, J. Reardon, D. W. T. Griffith, T. J. Johnson, S. Hosseini, J. W. Miller, D. R. Cocker III, H. Jung, and D. R. Weise
Atmos. Chem. Phys., 13, 89–116, https://doi.org/10.5194/acp-13-89-2013, https://doi.org/10.5194/acp-13-89-2013, 2013
Wei Min Hao, Matthew C. Reeves, L. Scott Baggett, Yves Balkanski, Philippe Ciais, Bryce L. Nordgren, Alexander Petkov, Rachel E. Corley, Florent Mouillot, Shawn P. Urbanski, and Chao Yue
Biogeosciences, 18, 2559–2572, https://doi.org/10.5194/bg-18-2559-2021, https://doi.org/10.5194/bg-18-2559-2021, 2021
Short summary
Short summary
We examined the trends in the spatial and temporal distribution of the area burned in northern Eurasia from 2002 to 2016. The annual area burned in this region declined by 53 % during the 15-year period under analysis. Grassland fires in Kazakhstan dominated the fire activity, comprising 47 % of the area burned but accounting for 84 % of the decline. A wetter climate and the increase in grazing livestock in Kazakhstan are the major factors contributing to the decline in the area burned.
Nishit J. Shetty, Apoorva Pandey, Stephen Baker, Wei Min Hao, and Rajan K. Chakrabarty
Atmos. Chem. Phys., 19, 8817–8830, https://doi.org/10.5194/acp-19-8817-2019, https://doi.org/10.5194/acp-19-8817-2019, 2019
Short summary
Short summary
We investigated biases in particle-phase absorption coefficients for organic aerosol from bulk-phase absorbance measurements of solvent extracts in the visible spectrum. These biases were systematically studied as a function of organic-to-total carbon mass ratios and aerosol single scattering albedo. A linear correlation between SSA and OC / TC ratios was observed. Differences in the absorption Ångström exponents from bulk- and particle-phase measurements were also investigated.
Wei Min Hao, Alexander Petkov, Bryce L. Nordgren, Rachel E. Corley, Robin P. Silverstein, Shawn P. Urbanski, Nikolaos Evangeliou, Yves Balkanski, and Bradley L. Kinder
Geosci. Model Dev., 9, 4461–4474, https://doi.org/10.5194/gmd-9-4461-2016, https://doi.org/10.5194/gmd-9-4461-2016, 2016
Short summary
Short summary
We developed the most comprehensive dataset of daily BC emissions from forest, grassland, shrubland, and savanna fires over northern Eurasia at a 500 m × 500 m resolution from 2002 to 2015. We examined the daily, seasonal, and interannual variability of BC emissions from fires in different ecosystems in the geopolitical regions of Russia, eastern Asia, central and western Asia, and Europe. The results are essential for modeling the transport and deposition of fire-emitted BC to the Arctic.
N. Evangeliou, Y. Balkanski, W. M. Hao, A. Petkov, R. P. Silverstein, R. Corley, B. L. Nordgren, S. P. Urbanski, S. Eckhardt, A. Stohl, P. Tunved, S. Crepinsek, A. Jefferson, S. Sharma, J. K. Nøjgaard, and H. Skov
Atmos. Chem. Phys., 16, 7587–7604, https://doi.org/10.5194/acp-16-7587-2016, https://doi.org/10.5194/acp-16-7587-2016, 2016
Short summary
Short summary
In this study, we focused on how vegetation fires that occurred in northern Eurasia during the period 2002–2013 influenced the budget of BC in the Arctic. An average area of 250 000 km2 yr−1 was burned in northern Eurasia and the global emissions of BC ranged between 8.0 and 9.5 Tg yr−1, while 102 ± 29 kt yr−1 BC from biomass burning was deposited on the Arctic. About 46 % of the Arctic BC from vegetation fires originated from Siberia, 6 % from Kazakhstan, 5 % from Europe, and about 1 % from Mon
Y. H. Mao, Q. B. Li, D. K. Henze, Z. Jiang, D. B. A. Jones, M. Kopacz, C. He, L. Qi, M. Gao, W.-M. Hao, and K.-N. Liou
Atmos. Chem. Phys., 15, 7685–7702, https://doi.org/10.5194/acp-15-7685-2015, https://doi.org/10.5194/acp-15-7685-2015, 2015
A. A. May, T. Lee, G. R. McMeeking, S. Akagi, A. P. Sullivan, S. Urbanski, R. J. Yokelson, and S. M. Kreidenweis
Atmos. Chem. Phys., 15, 6323–6335, https://doi.org/10.5194/acp-15-6323-2015, https://doi.org/10.5194/acp-15-6323-2015, 2015
Short summary
Short summary
Smoke plumes from some prescribed fires in the southeastern United States were sampled via aircraft to observe changes in organic aerosol (OA) with atmospheric transport. These plumes underwent rapid mixing, and, hence, substantial dilution with background air occurred. Dilution-driven evaporation appears to be the primary driver of OA transformations within the sampled plumes rather than photochemistry.
C. Yue, P. Ciais, P. Cadule, K. Thonicke, S. Archibald, B. Poulter, W. M. Hao, S. Hantson, F. Mouillot, P. Friedlingstein, F. Maignan, and N. Viovy
Geosci. Model Dev., 7, 2747–2767, https://doi.org/10.5194/gmd-7-2747-2014, https://doi.org/10.5194/gmd-7-2747-2014, 2014
Short summary
Short summary
ORCHIDEE-SPITFIRE model could moderately capture the decadal trend and variation of burned area during the 20th century, and the spatial and temporal patterns of contemporary vegetation fires. The model has a better performance in simulating fires for regions dominated by climate-driven fires, such as boreal forests. However, it has limited capability to reproduce the infrequent but important large fires in different ecosystems, where urgent model improvement is needed in the future.
A. P. Sullivan, A. A. May, T. Lee, G. R. McMeeking, S. M. Kreidenweis, S. K. Akagi, R. J. Yokelson, S. P. Urbanski, and J. L. Collett Jr.
Atmos. Chem. Phys., 14, 10535–10545, https://doi.org/10.5194/acp-14-10535-2014, https://doi.org/10.5194/acp-14-10535-2014, 2014
Y. H. Mao, Q. B. Li, D. Chen, L. Zhang, W.-M. Hao, and K.-N. Liou
Atmos. Chem. Phys., 14, 7195–7211, https://doi.org/10.5194/acp-14-7195-2014, https://doi.org/10.5194/acp-14-7195-2014, 2014
S. P. Urbanski
Atmos. Chem. Phys., 13, 7241–7262, https://doi.org/10.5194/acp-13-7241-2013, https://doi.org/10.5194/acp-13-7241-2013, 2013
S. K. Akagi, R. J. Yokelson, I. R. Burling, S. Meinardi, I. Simpson, D. R. Blake, G. R. McMeeking, A. Sullivan, T. Lee, S. Kreidenweis, S. Urbanski, J. Reardon, D. W. T. Griffith, T. J. Johnson, and D. R. Weise
Atmos. Chem. Phys., 13, 1141–1165, https://doi.org/10.5194/acp-13-1141-2013, https://doi.org/10.5194/acp-13-1141-2013, 2013
R. J. Yokelson, I. R. Burling, J. B. Gilman, C. Warneke, C. E. Stockwell, J. de Gouw, S. K. Akagi, S. P. Urbanski, P. Veres, J. M. Roberts, W. C. Kuster, J. Reardon, D. W. T. Griffith, T. J. Johnson, S. Hosseini, J. W. Miller, D. R. Cocker III, H. Jung, and D. R. Weise
Atmos. Chem. Phys., 13, 89–116, https://doi.org/10.5194/acp-13-89-2013, https://doi.org/10.5194/acp-13-89-2013, 2013
Related subject area
Atmospheric chemistry and physics
Crowdsourced Doppler measurements of time standard stations demonstrating ionospheric variability
Isotopic measurements in water vapor, precipitation, and seawater during EUREC4A
A machine learning approach to address air quality changes during the COVID-19 lockdown in Buenos Aires, Argentina
Version 2 of the global catalogue of large anthropogenic and volcanic SO2 sources and emissions derived from satellite measurements
World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update
Two years of Volatile Organic Compounds online in-situ measurements at SIRTA (Paris region, France) using Proton-Transfer-Reaction Mass Spectrometry
Long-term ash dispersal dataset of the Sakurajima Taisho eruption for ashfall disaster countermeasure
Full-coverage 250 m monthly aerosol optical depth dataset (2000–2019) amended with environmental covariates by an ensemble machine learning model over arid and semi-arid areas, NW China
Global Carbon Budget 2022
The polar mesospheric cloud dataset of the Balloon Lidar Experiment (BOLIDE)
Multiyear emissions of carbonaceous aerosols from cooking, fireworks, sacrificial incense, joss paper burning, and barbecue as well as their key driving forces in China
Global Ozone Monitoring Experiment-2 (GOME-2) Daily and Monthly Level 3 Products of Atmospheric Trace Gas Columns
Impacts of the proposal of the CNG2020 strategy on aircraft emissions of China–foreign routes
Northern hemispheric atmospheric ethane trends in the upper troposphere and lower stratosphere (2006–2016) with reference to methane and propane
New contributions of measurements in Europe to the global inventory of the stable isotopic composition of methane
International Monitoring System infrasound data products for atmospheric studies and civilian applications
A benchmark dataset of diurnal- and seasonal-scale radiation, heat, and CO2 fluxes in a typical East Asian monsoon region
Attenuated atmospheric backscatter profiles measured by the CO2 Sounder lidar in the 2017 ASCENDS/ABoVE airborne campaign
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm
Reconstructing 6-hourly PM2.5 datasets from 1960 to 2020 in China
A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021)
Multispecies and high-spatiotemporal-resolution database of vehicular emissions in Brazil
The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016)
European primary emissions of criteria pollutants and greenhouse gases in 2020 modulated by the COVID-19 pandemic disruptions
Historical reconstruction of background air pollution over France for 2000–2015
Methane, carbon dioxide, hydrogen sulfide, and isotopic ratios of methane observations from the Permian Basin tower network
Observations of the lower atmosphere from the 2021 WiscoDISCO campaign
A merged continental planetary boundary layer height dataset based on high-resolution radiosonde measurements, ERA5 reanalysis, and GLDAS
Aircraft measurements of water vapor heavy isotope ratios in the marine boundary layer and lower troposphere during ORACLES
A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches
Two decades of flask observations of atmospheric δ(O2∕N2), CO2, and APO at stations Lutjewad (the Netherlands) and Mace Head (Ireland), and 3 years from Halley station (Antarctica)
LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion
Design and description of the MUSICA IASI full retrieval product
Reactive nitrogen fluxes over peatland and forest ecosystems using micrometeorological measurement techniques
An extensive data set for in situ microphysical characterization of low-level clouds in a Finnish sub-Arctic site
CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling
An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm
High-resolution biogenic global emission inventory for the time period 2000–2019 for air quality modelling
Measurements from the University of Colorado RAAVEN Uncrewed Aircraft System during ATOMIC
ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model
The first global 883 GHz cloud ice survey: IceCube Level 1 data calibration, processing and analysis
The global and multi-annual MUSICA IASI {H2O, δD} pair dataset
The OH (3-1) nightglow volume emission rate retrieved from OSIRIS measurements: 2001 to 2015
Advanced NO2 retrieval technique for the Brewer spectrophotometer applied to the 20-year record in Rome, Italy
Total column ozone measurements by the Dobson spectrophotometer at Belsk (Poland) for the period 1963–2019: homogenization and adjustment to the Brewer spectrophotometer
Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965
Observations of the downwelling far-infrared atmospheric emission at the Zugspitze observatory
UV-Indien network: ground-based measurements dedicated to the monitoring of UV radiation over the western Indian Ocean
Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric modeling
A global total column ozone climate data record
Kristina Collins, John Gibbons, Nathaniel Frissell, Aidan Montare, David Kazdan, Darren Kalmbach, David Swartz, Robert Benedict, Veronica Romanek, Rachel Boedicker, William Liles, William Engelke, David G. McGaw, James Farmer, Gary Mikitin, Joseph Hobart, George Kavanagh, and Shibaji Chakraborty
Earth Syst. Sci. Data, 15, 1403–1418, https://doi.org/10.5194/essd-15-1403-2023, https://doi.org/10.5194/essd-15-1403-2023, 2023
Short summary
Short summary
This paper summarizes radio data collected by citizen scientists, which can be used to analyze the charged part of Earth's upper atmosphere. The data are collected from several independent stations. We show ways to look at the data from one station or multiple stations over different periods of time and how it can be combined with data from other sources as well. The code provided to make these visualizations will still work if some data are missing or when more data are added in the future.
Adriana Bailey, Franziska Aemisegger, Leonie Villiger, Sebastian A. Los, Gilles Reverdin, Estefanía Quiñones Meléndez, Claudia Acquistapace, Dariusz B. Baranowski, Tobias Böck, Sandrine Bony, Tobias Bordsdorff, Derek Coffman, Simon P. de Szoeke, Christopher J. Diekmann, Marina Dütsch, Benjamin Ertl, Joseph Galewsky, Dean Henze, Przemyslaw Makuch, David Noone, Patricia K. Quinn, Michael Rösch, Andreas Schneider, Matthias Schneider, Sabrina Speich, Bjorn Stevens, and Elizabeth J. Thompson
Earth Syst. Sci. Data, 15, 465–495, https://doi.org/10.5194/essd-15-465-2023, https://doi.org/10.5194/essd-15-465-2023, 2023
Short summary
Short summary
One of the novel ways EUREC4A set out to investigate trade wind clouds and their coupling to the large-scale circulation was through an extensive network of isotopic measurements in water vapor, precipitation, and seawater. Samples were taken from the island of Barbados, from aboard two aircraft, and from aboard four ships. This paper describes the full collection of EUREC4A isotopic in situ data and guides readers to complementary remotely sensed water vapor isotope ratios.
Melisa Diaz Resquin, Pablo Lichtig, Diego Alessandrello, Marcelo De Oto, Darío Gómez, Cristina Rössler, Paula Castesana, and Laura Dawidowski
Earth Syst. Sci. Data, 15, 189–209, https://doi.org/10.5194/essd-15-189-2023, https://doi.org/10.5194/essd-15-189-2023, 2023
Short summary
Short summary
We explored the performance of the random forest algorithm to predict CO, NOx, PM10, SO2, and O3 air quality concentrations and comparatively assessed the monitored and modeled concentrations during the COVID-19 lockdown phases. We provide the first long-term O3 and SO2 observational dataset for an urban–residential area of Buenos Aires in more than a decade and study the responses of O3 to the reduction in the emissions of its precursors because of its relevance regarding emission control.
Vitali E. Fioletov, Chris A. McLinden, Debora Griffin, Ihab Abboud, Nickolay Krotkov, Peter J. T. Leonard, Can Li, Joanna Joiner, Nicolas Theys, and Simon Carn
Earth Syst. Sci. Data, 15, 75–93, https://doi.org/10.5194/essd-15-75-2023, https://doi.org/10.5194/essd-15-75-2023, 2023
Short summary
Short summary
Sulfur dioxide (SO2) measurements from three satellite instruments were used to update and extend the previously developed global catalogue of large SO2 emission sources. This version 2 of the global catalogue covers the period of 2005–2021 and includes a total of 759 continuously emitting point sources. The catalogue data show an approximate 50 % decline in global SO2 emissions between 2005 and 2021, although emissions were relatively stable during the last 3 years.
Jed O. Kaplan and Katie Hong-Kiu Lau
Earth Syst. Sci. Data, 14, 5665–5670, https://doi.org/10.5194/essd-14-5665-2022, https://doi.org/10.5194/essd-14-5665-2022, 2022
Short summary
Short summary
Global lightning strokes are recorded continuously by a network of ground-based stations. We consolidated these point observations into a map form and provide these as electronic datasets for research purposes. Here we extend our dataset to include lightning observations from 2021.
Leïla Simon, Valérie Gros, Jean-Eudes Petit, François Truong, Roland Sarda-Esteve, Carmen Kalalian, Caroline Marchand, and Olivier Favez
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-406, https://doi.org/10.5194/essd-2022-406, 2022
Revised manuscript accepted for ESSD
Short summary
Short summary
Long-term measurements of Volatile Organic Compounds (VOCs) have been set-up to better characterize the atmospheric chemistry at the SIRTA national facility (Paris area, France). Results obtained from the first two years (2020–2021) confirms the importance of local sources for short-lived compounds, as well as the role played by meteorology and air mass origins in the long-term analysis of VOCs. They also point out to a substantial influence of anthropogenic on the monoterpene loadings.
Haris Rahadianto, Hirokazu Tatano, Masato Iguchi, Hiroshi L. Tanaka, Tetsuya Takemi, and Sudip Roy
Earth Syst. Sci. Data, 14, 5309–5332, https://doi.org/10.5194/essd-14-5309-2022, https://doi.org/10.5194/essd-14-5309-2022, 2022
Short summary
Short summary
We simulated the Taisho (1914) eruption of Sakurajima volcano under various weather conditions to show how a similar eruption would affect contemporary Japan in a worst-case scenario. We provide the dataset of projected airborne ash concentration and deposit over all of Japan to support risk assessment and planning for disaster management. Our work extends previous analyses of local risks to cover distal locations in Japan where a large population could be exposed to devastating impacts.
Xiangyue Chen, Hongchao Zuo, Zipeng Zhang, Xiaoyi Cao, Jikai Duan, Chuanmei Zhu, Zhe Zhang, and Jingzhe Wang
Earth Syst. Sci. Data, 14, 5233–5252, https://doi.org/10.5194/essd-14-5233-2022, https://doi.org/10.5194/essd-14-5233-2022, 2022
Short summary
Short summary
Arid and semi-arid areas are data-scarce aerosol areas. We provide path-breaking, high-resolution, full coverage, and long time series AOD datasets (FEC AOD) to support the atmosphere and related studies in northwestern China. The FEC AOD effectively compensates for the deficiency and constraints of in situ observations and satellite AOD products. Meanwhile, FEC AOD products demonstrate a reliable accuracy and ability to capture long-term change information.
Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Luke Gregor, Judith Hauck, Corinne Le Quéré, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Robert B. Jackson, Simone R. Alin, Ramdane Alkama, Almut Arneth, Vivek K. Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Henry C. Bittig, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Wiley Evans, Stefanie Falk, Richard A. Feely, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Lucas Gloege, Giacomo Grassi, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Atul K. Jain, Annika Jersild, Koji Kadono, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Keith Lindsay, Junjie Liu, Zhu Liu, Gregg Marland, Nicolas Mayot, Matthew J. McGrath, Nicolas Metzl, Natalie M. Monacci, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O'Brien, Tsuneo Ono, Paul I. Palmer, Naiqing Pan, Denis Pierrot, Katie Pocock, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Carmen Rodriguez, Thais M. Rosan, Jörg Schwinger, Roland Séférian, Jamie D. Shutler, Ingunn Skjelvan, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Toste Tanhua, Pieter P. Tans, Xiangjun Tian, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Anthony P. Walker, Rik Wanninkhof, Chris Whitehead, Anna Willstrand Wranne, Rebecca Wright, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, Jiye Zeng, and Bo Zheng
Earth Syst. Sci. Data, 14, 4811–4900, https://doi.org/10.5194/essd-14-4811-2022, https://doi.org/10.5194/essd-14-4811-2022, 2022
Short summary
Short summary
The Global Carbon Budget 2022 describes the datasets and methodology used to quantify the anthropogenic emissions of carbon dioxide (CO2) and their partitioning among the atmosphere, the land ecosystems, and the ocean. These living datasets are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Natalie Kaifler, Bernd Kaifler, Markus Rapp, and David C. Fritts
Earth Syst. Sci. Data, 14, 4923–4934, https://doi.org/10.5194/essd-14-4923-2022, https://doi.org/10.5194/essd-14-4923-2022, 2022
Short summary
Short summary
We measured polar mesospheric clouds (PMCs), our Earth’s highest clouds at the edge of space, with a Rayleigh lidar from a stratospheric balloon. We describe how we derive the cloud’s brightness and discuss the stability of the gondola pointing and the sensitivity of our measurements. We present our high-resolution PMC dataset that is used to study dynamical processes in the upper mesosphere, e.g. regarding gravity waves, mesospheric bores, vortex rings, and Kelvin–Helmholtz instabilities.
Yi Cheng, Shaofei Kong, Liquan Yao, Huang Zheng, Jian Wu, Qin Yan, Shurui Zheng, Yao Hu, Zhenzhen Niu, Yingying Yan, Zhenxing Shen, Guofeng Shen, Dantong Liu, Shuxiao Wang, and Shihua Qi
Earth Syst. Sci. Data, 14, 4757–4775, https://doi.org/10.5194/essd-14-4757-2022, https://doi.org/10.5194/essd-14-4757-2022, 2022
Short summary
Short summary
This work establishes the first emission inventory of carbonaceous aerosols from cooking, fireworks, sacrificial incense, joss paper burning, and barbecue, using multi-source datasets and tested emission factors. These emissions were concentrated in specific periods and areas. Positive and negative correlations between income and emissions were revealed in urban and rural regions. The dataset will be helpful for improving modeling studies and modifying corresponding emission control policies.
Ka Lok Chan, Pieter Valks, Klaus-Peter Heue, Ronny Lutz, Pascal Hedelt, Diego Loyola, Gaia Pinardi, Michel Van Roozendael, François Hendrick, Thomas Wagner, Vinod Kumar, Alkis Bais, Ankie Piters, Hitoshi Irie, Yugo Kanaya, Hisahiro Takashima, Yongjoo Choi, Kihong Park, Jihyo Chong, Alexander Cede, Udo Frieß, Andreas Richter, Jianzhong Ma, Nuria Benavent, Robert Holla, Oleg Postylyakov, Claudia Rivera Cárdenas, and Mark Wenig
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-315, https://doi.org/10.5194/essd-2022-315, 2022
Revised manuscript accepted for ESSD
Short summary
Short summary
This paper is to present the theoretical basis as well as the verification and validation of the GOME-2 daily and monthly level 3 products.
Qiang Cui, Yilin Lei, and Bin Chen
Earth Syst. Sci. Data, 14, 4419–4433, https://doi.org/10.5194/essd-14-4419-2022, https://doi.org/10.5194/essd-14-4419-2022, 2022
Short summary
Short summary
This paper calculates the emissions of six kinds of emissions from China’s foreign routes from 2014 to 2019, enriching the existing database. This paper applies the improved BFFM2-FOA-FPM method and ICAO method to calculate the emissions, which can combine CO2 and non-CO2 emissions calculations and calculate the aircraft types' emission intensity.
Mengze Li, Andrea Pozzer, Jos Lelieveld, and Jonathan Williams
Earth Syst. Sci. Data, 14, 4351–4364, https://doi.org/10.5194/essd-14-4351-2022, https://doi.org/10.5194/essd-14-4351-2022, 2022
Short summary
Short summary
We present a northern hemispheric airborne measurement dataset of atmospheric ethane, propane and methane and temporal trends for the time period 2006–2016 in the upper troposphere and lower stratosphere. The growth rates of ethane, methane, and propane in the upper troposphere are -2.24, 0.33, and -0.78 % yr-1, respectively, and in the lower stratosphere they are -3.27, 0.26, and -4.91 % yr-1, respectively, in 2006–2016.
Malika Menoud, Carina van der Veen, Dave Lowry, Julianne M. Fernandez, Semra Bakkaloglu, James L. France, Rebecca E. Fisher, Hossein Maazallahi, Mila Stanisavljević, Jarosław Nęcki, Katarina Vinkovic, Patryk Łakomiec, Janne Rinne, Piotr Korbeń, Martina Schmidt, Sara Defratyka, Camille Yver-Kwok, Truls Andersen, Huilin Chen, and Thomas Röckmann
Earth Syst. Sci. Data, 14, 4365–4386, https://doi.org/10.5194/essd-14-4365-2022, https://doi.org/10.5194/essd-14-4365-2022, 2022
Short summary
Short summary
Emission sources of methane (CH4) can be distinguished with measurements of CH4 stable isotopes. We present new measurements of isotope signatures of various CH4 sources in Europe, mainly anthropogenic, sampled from 2017 to 2020. The present database also contains the most recent update of the global signature dataset from the literature. The dataset improves CH4 source attribution and the understanding of the global CH4 budget.
Patrick Hupe, Lars Ceranna, Alexis Le Pichon, Robin S. Matoza, and Pierrick Mialle
Earth Syst. Sci. Data, 14, 4201–4230, https://doi.org/10.5194/essd-14-4201-2022, https://doi.org/10.5194/essd-14-4201-2022, 2022
Short summary
Short summary
Sound waves with frequencies below the human hearing threshold can travel long distances through the atmosphere. A global network of sensors records such infrasound to detect clandestine nuclear tests in the atmosphere. These data are generally not public. This study provides four data products based on global infrasound signal detections to make infrasound data available to a broad community. This will advance the use of infrasound observations for scientific studies and civilian applications.
Zexia Duan, Zhiqiu Gao, Qing Xu, Shaohui Zhou, Kai Qin, and Yuanjian Yang
Earth Syst. Sci. Data, 14, 4153–4169, https://doi.org/10.5194/essd-14-4153-2022, https://doi.org/10.5194/essd-14-4153-2022, 2022
Short summary
Short summary
Land–atmosphere interactions over the Yangtze River Delta (YRD) in China are becoming more varied and complex, as the area is experiencing rapid land use changes. In this paper, we describe a dataset of microclimate and eddy covariance variables at four sites in the YRD. This dataset has potential use cases in multiple research fields, such as boundary layer parametrization schemes, evaluation of remote sensing algorithms, and development of climate models in typical East Asian monsoon regions.
Xiaoli Sun, Paul T. Kolbeck, James B. Abshire, Stephan R. Kawa, and Jianping Mao
Earth Syst. Sci. Data, 14, 3821–3833, https://doi.org/10.5194/essd-14-3821-2022, https://doi.org/10.5194/essd-14-3821-2022, 2022
Short summary
Short summary
We describe the measurement and data processing of the atmospheric backscatter profile data by our CO2 Sounder lidar from the 2017 ASCENDS/ABoVE airborne campaign. It is an additional data set from the column average CO2 mixing ratio measurements from laser sounding. It not only helps to interpret the CO2 mixing ratio measurement but also give a standalone data set for atmosphere backscattering study at 1572 nm wavelength.
Lei Li, Yevgeny Derimian, Cheng Chen, Xindan Zhang, Huizheng Che, Gregory L. Schuster, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Christian Matar, Fabrice Ducos, Yana Karol, Benjamin Torres, Ke Gui, Yu Zheng, Yuanxin Liang, Yadong Lei, Jibiao Zhu, Lei Zhang, Junting Zhong, Xiaoye Zhang, and Oleg Dubovik
Earth Syst. Sci. Data, 14, 3439–3469, https://doi.org/10.5194/essd-14-3439-2022, https://doi.org/10.5194/essd-14-3439-2022, 2022
Short summary
Short summary
A climatology of aerosol composition concentration derived from POLDER-3 observations using GRASP/Component is presented. The conceptual specifics of the GRASP/Component approach are in the direct retrieval of aerosol speciation without intermediate retrievals of aerosol optical characteristics. The dataset of satellite-derived components represents scarce but imperative information for validation and potential adjustment of chemical transport models.
Junting Zhong, Xiaoye Zhang, Ke Gui, Jie Liao, Ye Fei, Lipeng Jiang, Lifeng Guo, Liangke Liu, Huizheng Che, Yaqiang Wang, Deying Wang, and Zijiang Zhou
Earth Syst. Sci. Data, 14, 3197–3211, https://doi.org/10.5194/essd-14-3197-2022, https://doi.org/10.5194/essd-14-3197-2022, 2022
Short summary
Short summary
Historical long-term PM2.5 records with high temporal resolution are essential but lacking for research and environmental management. Here, we reconstruct site-based and gridded PM2.5 datasets at 6-hour intervals from 1960 to 2020 that combine visibility, meteorological data, and emissions based on a machine learning model with extracted spatial features. These two PM2.5 datasets will lay the foundation of research studies associated with air pollution, climate change, and aerosol reanalysis.
Fei Jiang, Weimin Ju, Wei He, Mousong Wu, Hengmao Wang, Jun Wang, Mengwei Jia, Shuzhuang Feng, Lingyu Zhang, and Jing M. Chen
Earth Syst. Sci. Data, 14, 3013–3037, https://doi.org/10.5194/essd-14-3013-2022, https://doi.org/10.5194/essd-14-3013-2022, 2022
Short summary
Short summary
A 10-year (2010–2019) global monthly terrestrial NEE dataset (GCAS2021) was inferred from the GOSAT ACOS v9 XCO2 product. It shows strong carbon sinks over eastern N. America, the Amazon, the Congo Basin, Europe, boreal forests, southern China, and Southeast Asia. It has good quality and can reflect the impacts of extreme climates and large-scale climate anomalies on carbon fluxes well. We believe that this dataset can contribute to regional carbon budget assessment and carbon dynamics research.
Leonardo Hoinaski, Thiago Vieira Vasques, Camilo Bastos Ribeiro, and Bianca Meotti
Earth Syst. Sci. Data, 14, 2939–2949, https://doi.org/10.5194/essd-14-2939-2022, https://doi.org/10.5194/essd-14-2939-2022, 2022
Short summary
Short summary
In Brazil, goods are essentially transported by a growing vehicular fleet. However, the atmospheric emissions of this prime source of air pollution are still unknown in most places. In this paper, we present the BRAzilian Vehicular Emissions inventory Software (BRAVES) database, containing detailed information on vehicular emissions of multiple types of air pollutants and covering the entire Brazilian territory. These data are crucial to understanding the air pollution in Brazil.
Enza Di Tomaso, Jerónimo Escribano, Sara Basart, Paul Ginoux, Francesca Macchia, Francesca Barnaba, Francesco Benincasa, Pierre-Antoine Bretonnière, Arnau Buñuel, Miguel Castrillo, Emilio Cuevas, Paola Formenti, María Gonçalves, Oriol Jorba, Martina Klose, Lucia Mona, Gilbert Montané Pinto, Michail Mytilinaios, Vincenzo Obiso, Miriam Olid, Nick Schutgens, Athanasios Votsis, Ernest Werner, and Carlos Pérez García-Pando
Earth Syst. Sci. Data, 14, 2785–2816, https://doi.org/10.5194/essd-14-2785-2022, https://doi.org/10.5194/essd-14-2785-2022, 2022
Short summary
Short summary
MONARCH reanalysis of desert dust aerosols extends the existing observation-based information for mineral dust monitoring by providing 3-hourly upper-air, surface and total column key geophysical variables of the dust cycle over Northern Africa, the Middle East and Europe, at a 0.1° horizontal resolution in a rotated grid, from 2007 to 2016. This work provides evidence of the high accuracy of this data set and its suitability for air quality and health and climate service applications.
Marc Guevara, Hervé Petetin, Oriol Jorba, Hugo Denier van der Gon, Jeroen Kuenen, Ingrid Super, Jukka-Pekka Jalkanen, Elisa Majamäki, Lasse Johansson, Vincent-Henri Peuch, and Carlos Pérez García-Pando
Earth Syst. Sci. Data, 14, 2521–2552, https://doi.org/10.5194/essd-14-2521-2022, https://doi.org/10.5194/essd-14-2521-2022, 2022
Short summary
Short summary
To control the spread of the COVID-19 disease, European governments implemented mobility restriction measures that resulted in an unprecedented drop in anthropogenic emissions. This work presents a dataset of emission adjustment factors that allows quantifying changes in 2020 European primary emissions per country and pollutant sector at the daily scale. The resulting dataset can be used as input in modelling studies aiming at quantifying the impact of COVID-19 on air quality levels.
Elsa Real, Florian Couvidat, Anthony Ung, Laure Malherbe, Blandine Raux, Alicia Gressent, and Augustin Colette
Earth Syst. Sci. Data, 14, 2419–2443, https://doi.org/10.5194/essd-14-2419-2022, https://doi.org/10.5194/essd-14-2419-2022, 2022
Short summary
Short summary
This paper describes a 16-year (2000–2015) dataset of air pollution concentrations and air quality indicators over France combining background measurements and modeling. Hourly concentrations and regulatory indicators of NO2, O3, PM10 and PM2.5 are produced with 4 km spatial resolution. The overall dataset has been cross-validated and showed overall very good results. We hope that this open-access publication will facilitate further studies on the impacts of air pollution.
Vanessa C. Monteiro, Natasha L. Miles, Scott J. Richardson, Zachary Barkley, Bernd J. Haupt, David Lyon, Benjamin Hmiel, and Kenneth J. Davis
Earth Syst. Sci. Data, 14, 2401–2417, https://doi.org/10.5194/essd-14-2401-2022, https://doi.org/10.5194/essd-14-2401-2022, 2022
Short summary
Short summary
We describe a network of five ground-based in situ towers, equipped to measure concentrations of methane, carbon dioxide, hydrogen sulfide, and the isotopic ratio of methane, in the Permian Basin, United States. The main goal is to use methane concentrations with atmospheric models to determine methane emissions from one of the Permian sub-basins. These datasets can improve emissions estimations, leading to best practices in the oil and natural gas industry, and policies for emissions reduction.
Patricia A. Cleary, Gijs de Boer, Joseph P. Hupy, Steven Borenstein, Jonathan Hamilton, Ben Kies, Dale Lawrence, R. Bradley Pierce, Joe Tirado, Aidan Voon, and Timothy Wagner
Earth Syst. Sci. Data, 14, 2129–2145, https://doi.org/10.5194/essd-14-2129-2022, https://doi.org/10.5194/essd-14-2129-2022, 2022
Short summary
Short summary
A field campaign, WiscoDISCO-21, was conducted at the shoreline of Lake Michigan to better understand the role of marine air in pollutants. Two uncrewed aircraft systems were equipped with sensors for meteorological variables and ozone. A Doppler lidar instrument at a ground station measured horizontal and vertical winds. The overlap of observations from multiple instruments allowed for a unique mapping of the meteorology and pollutants as a marine air mass moved over land.
Jianping Guo, Jian Zhang, Tianmeng Chen, Kaixu Bai, Jia Shao, Yuping Sun, Ning Li, Jingyan Wu, Rui Li, Jian Li, Qiyun Guo, Jason B. Cohen, Panmao Zhai, Xiaofeng Xu, and Fei Hu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-150, https://doi.org/10.5194/essd-2022-150, 2022
Revised manuscript accepted for ESSD
Short summary
Short summary
A global continental merged high-resolution (PBLH) dataset with a good accuracy compared to radiosonde is generated via machine learning algorithms, covering a time period from 2011 to 2021 with a 3-hour and 0.25º resolution in space and time. The machine learning model takes parameters derived from the ERA5 reanalysis and GLDAS product as input while PBLH biases between radiosonde and ERA5 as the learning targets. The merged PBLH is the sum of the predicted PBLH bias and the PBLH from ERA5.
Dean Henze, David Noone, and Darin Toohey
Earth Syst. Sci. Data, 14, 1811–1829, https://doi.org/10.5194/essd-14-1811-2022, https://doi.org/10.5194/essd-14-1811-2022, 2022
Short summary
Short summary
The heavy isotope ratios of water vapor can provide information on the movement of water in the atmosphere, such as water vapor's origin of evaporation (e.g., land vs. sea), or detection of prior precipitation in an air mass. This paper presents the water vapor isotope dataset collected via aircraft as part of the NASA ORACLES project. The data are presented to demonstrate their potential for providing a comprehensive perspective on moisture transport in this region.
Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Chen Zuo, Yize Jiang, Dan Li, Yushan Guo, Wenji Zhao, Wenzhong Shi, and Maureen Cribb
Earth Syst. Sci. Data, 14, 1193–1213, https://doi.org/10.5194/essd-14-1193-2022, https://doi.org/10.5194/essd-14-1193-2022, 2022
Short summary
Short summary
This study developed a new satellite-based global land daily FMF dataset (Phy-DL FMF) by synergizing the advantages of physical and deep learning methods at a 1° spatial resolution by covering the period from 2001 to 2020. The Phy-DL FMF was extensively evaluated against ground-truth AERONET data and tested on a global scale against conventional satellite-based FMF products to demonstrate its superiority in accuracy.
Linh N. T. Nguyen, Harro A. J. Meijer, Charlotte van Leeuwen, Bert A. M. Kers, Hubertus A. Scheeren, Anna E. Jones, Neil Brough, Thomas Barningham, Penelope A. Pickers, Andrew C. Manning, and Ingrid T. Luijkx
Earth Syst. Sci. Data, 14, 991–1014, https://doi.org/10.5194/essd-14-991-2022, https://doi.org/10.5194/essd-14-991-2022, 2022
Short summary
Short summary
We present 20-year flask sample records of atmospheric CO2, O2, and APO from the stations Lutjewad (the Netherlands), Mace Head (Ireland), and Halley (Antarctica). Data from Lutjewad and Mace Head show similar long-term trends and seasonal cycles, agreeing with measurements from another station (Weybourne, UK). Measurements from Halley agree partly with those conducted by other institutes. From our 2002–2018 Lutjewad and Mace Head records, we find good agreement for global ocean carbon uptake.
Kaixu Bai, Ke Li, Mingliang Ma, Kaitao Li, Zhengqiang Li, Jianping Guo, Ni-Bin Chang, Zhuo Tan, and Di Han
Earth Syst. Sci. Data, 14, 907–927, https://doi.org/10.5194/essd-14-907-2022, https://doi.org/10.5194/essd-14-907-2022, 2022
Short summary
Short summary
The Long-term Gap-free High-resolution Air Pollutant concentration dataset, providing gap-free aerosol optical depth (AOD) and PM2.5 and PM10 concentration with a daily 1 km resolution for 2000–2020 in China, is generated and made publicly available. This is the first long-term gap-free high-resolution aerosol dataset in China and has great potential to trigger multidisciplinary applications in Earth observations, climate change, public health, ecosystem assessment, and environment management.
Matthias Schneider, Benjamin Ertl, Christopher J. Diekmann, Farahnaz Khosrawi, Andreas Weber, Frank Hase, Michael Höpfner, Omaira E. García, Eliezer Sepúlveda, and Douglas Kinnison
Earth Syst. Sci. Data, 14, 709–742, https://doi.org/10.5194/essd-14-709-2022, https://doi.org/10.5194/essd-14-709-2022, 2022
Short summary
Short summary
We present atmospheric H2O, HDO / H2O ratio, N2O, CH4, and HNO3 data generated by the MUSICA IASI processor using thermal nadir spectra measured by the IASI satellite instrument. The data have global daily coverage and are available for the period between October 2014 and June 2021. Multiple possibilities of data reuse are offered by providing each individual data product together with information about retrieval settings and the products' uncertainty and vertical representativeness.
Christian Brümmer, Jeremy J. Rüffer, Jean-Pierre Delorme, Pascal Wintjen, Frederik Schrader, Burkhard Beudert, Martijn Schaap, and Christof Ammann
Earth Syst. Sci. Data, 14, 743–761, https://doi.org/10.5194/essd-14-743-2022, https://doi.org/10.5194/essd-14-743-2022, 2022
Short summary
Short summary
Field campaigns were carried out to investigate the biosphere–atmosphere exchange of selected reactive nitrogen compounds over different land surfaces using two different analytical devices for ammonia and total reactive nitrogen. The datasets improve our understanding of the temporal variability of surface–atmosphere exchange in different ecosystems, thereby providing validation opportunities for inferential models simulating the exchange of reactive nitrogen.
Konstantinos Matthaios Doulgeris, Heikki Lihavainen, Anti-Pekka Hyvärinen, Veli-Matti Kerminen, and David Brus
Earth Syst. Sci. Data, 14, 637–649, https://doi.org/10.5194/essd-14-637-2022, https://doi.org/10.5194/essd-14-637-2022, 2022
Short summary
Short summary
We produced and summarized data sets obtained from two cloud ground-based spectrometers (CAPS and FSSP-100 ground setups) during 8 years of Pallas Cloud Experiment campaigns conducted in autumn from 2004 until 2019 along with several meteorological variables. The campaigns took place in the Finnish sub-Arctic region in a clear environment in temperatures that were usually below zero. This data set provides a helpful contribution to cloud microphysics processes.
Jeroen Kuenen, Stijn Dellaert, Antoon Visschedijk, Jukka-Pekka Jalkanen, Ingrid Super, and Hugo Denier van der Gon
Earth Syst. Sci. Data, 14, 491–515, https://doi.org/10.5194/essd-14-491-2022, https://doi.org/10.5194/essd-14-491-2022, 2022
Short summary
Short summary
This paper presents an 18-year time series for anthropogenic emissions for the main air pollutants in Europe, distinguishing 15 main source categories. It provides a complete overview of emissions to air and is designed to support air quality modelling. The data build where possible on official country total emissions used in the policy processes, but where necessary alternative data were used. The emission data are spatially distributed at high resolution (~ 6 km x 6 km) in a consistent way.
Thomas E. Taylor, Christopher W. O'Dell, David Crisp, Akhiko Kuze, Hannakaisa Lindqvist, Paul O. Wennberg, Abhishek Chatterjee, Michael Gunson, Annmarie Eldering, Brendan Fisher, Matthäus Kiel, Robert R. Nelson, Aronne Merrelli, Greg Osterman, Frédéric Chevallier, Paul I. Palmer, Liang Feng, Nicholas M. Deutscher, Manvendra K. Dubey, Dietrich G. Feist, Omaira E. García, David W. T. Griffith, Frank Hase, Laura T. Iraci, Rigel Kivi, Cheng Liu, Martine De Mazière, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, David F. Pollard, Markus Rettinger, Matthias Schneider, Coleen M. Roehl, Mahesh Kumar Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke, and Debra Wunch
Earth Syst. Sci. Data, 14, 325–360, https://doi.org/10.5194/essd-14-325-2022, https://doi.org/10.5194/essd-14-325-2022, 2022
Short summary
Short summary
We provide an analysis of an 11-year record of atmospheric carbon dioxide (CO2) concentrations derived using an optimal estimation retrieval algorithm on measurements made by the GOSAT satellite. The new product (version 9) shows improvement over the previous version (v7.3) as evaluated against independent estimates of CO2 from ground-based sensors and atmospheric inversion systems. We also compare the new GOSAT CO2 values to collocated estimates from NASA's Orbiting Carbon Observatory-2.
Katerina Sindelarova, Jana Markova, David Simpson, Peter Huszar, Jan Karlicky, Sabine Darras, and Claire Granier
Earth Syst. Sci. Data, 14, 251–270, https://doi.org/10.5194/essd-14-251-2022, https://doi.org/10.5194/essd-14-251-2022, 2022
Short summary
Short summary
Three new datasets of global emissions of biogenic volatile organic compounds (BVOCs) emitted into the atmosphere from terrestrial vegetation were developed for air quality modelling using the Model of Emissions of Gases and Aerosols from Nature (MEGANv2.1) driven by European Centre for Medium-Range Weather Forecasts meteorological reanalyses for the years 2000–2019. The datasets include updates of the isoprene emission factors in Europe and study the impact of land cover change on emissions.
Gijs de Boer, Steven Borenstein, Radiance Calmer, Christopher Cox, Michael Rhodes, Christopher Choate, Jonathan Hamilton, Jackson Osborn, Dale Lawrence, Brian Argrow, and Janet Intrieri
Earth Syst. Sci. Data, 14, 19–31, https://doi.org/10.5194/essd-14-19-2022, https://doi.org/10.5194/essd-14-19-2022, 2022
Short summary
Short summary
This article provides a summary of the collection of atmospheric data over the near-coastal zone upwind of Barbados during the ATOMIC and EUREC4A field campaigns. These data were collected to improve our understanding of the structure and dynamics of the lower atmosphere in the tropical trade-wind regime over the Atlantic Ocean and the influence of that portion of the atmosphere on the development and maintenance of clouds.
Sandip S. Dhomse, Carlo Arosio, Wuhu Feng, Alexei Rozanov, Mark Weber, and Martyn P. Chipperfield
Earth Syst. Sci. Data, 13, 5711–5729, https://doi.org/10.5194/essd-13-5711-2021, https://doi.org/10.5194/essd-13-5711-2021, 2021
Short summary
Short summary
High-quality long-term ozone profile data sets are key to estimating short- and long-term ozone variability. Almost all the satellite (and chemical model) data sets show some kind of bias with respect to each other. This is because of differences in measurement methodologies as well as simplified processes in the models. We use satellite data sets and chemical model output to generate 42 years of ozone profile data sets using a random-forest machine-learning algorithm that is named ML-TOMCAT.
Jie Gong, Dong L. Wu, and Patrick Eriksson
Earth Syst. Sci. Data, 13, 5369–5387, https://doi.org/10.5194/essd-13-5369-2021, https://doi.org/10.5194/essd-13-5369-2021, 2021
Short summary
Short summary
Launched from the International Space Station, the IceCube radiometer orbited the Earth for 15 months and collected the first spaceborne radiance measurements at 874–883 GHz. This channel is uniquely important to fill in the sensitivity gap between operational visible–infrared and microwave remote sensing for atmospheric cloud ice and snow. This paper delivers the IceCube Level 1 radiance data processing algorithm and provides a data quality evaluation and discussion on its scientific merit.
Christopher J. Diekmann, Matthias Schneider, Benjamin Ertl, Frank Hase, Omaira García, Farahnaz Khosrawi, Eliezer Sepúlveda, Peter Knippertz, and Peter Braesicke
Earth Syst. Sci. Data, 13, 5273–5292, https://doi.org/10.5194/essd-13-5273-2021, https://doi.org/10.5194/essd-13-5273-2021, 2021
Short summary
Short summary
The joint analysis of different stable water isotopes in water vapour is a powerful tool for investigating atmospheric moisture pathways. This paper presents a novel global and multi-annual dataset of H2O and HDO in mid-tropospheric water vapour by using data from the satellite sensor Metop/IASI. Due to its unique combination of coverage and resolution in space and time, this dataset is highly promising for studying the hydrological cycle and its representation in weather and climate models.
Anqi Li, Chris Z. Roth, Adam E. Bourassa, Douglas A. Degenstein, Kristell Pérot, Ole Martin Christensen, and Donal P. Murtagh
Earth Syst. Sci. Data, 13, 5115–5126, https://doi.org/10.5194/essd-13-5115-2021, https://doi.org/10.5194/essd-13-5115-2021, 2021
Short summary
Short summary
The nightglow emission originating from the vibrationally excited hydroxyl layer (about 85 km altitude) has been measured by the infrared imager (IRI) on the Odin satellite for more than 15 years. In this study, we document the retrieval steps, the resulting volume emission rates and the layer characteristics. Finally, we use the monthly zonal averages to demonstrate the fidelity of the data set. This unique, long-term data set will be valuable for studying various topics near the mesopause.
Henri Diémoz, Anna Maria Siani, Stefano Casadio, Anna Maria Iannarelli, Giuseppe Rocco Casale, Vladimir Savastiouk, Alexander Cede, Martin Tiefengraber, and Moritz Müller
Earth Syst. Sci. Data, 13, 4929–4950, https://doi.org/10.5194/essd-13-4929-2021, https://doi.org/10.5194/essd-13-4929-2021, 2021
Short summary
Short summary
A 20-year (1996–2017) record of nitrogen dioxide column densities collected in Rome by a Brewer spectrophotometer is presented, together with the novel algorithm employed to re-evaluate the series. The high quality of the data is demonstrated by comparison with reference instrumentation, including a co-located Pandora spectrometer. The data can be used for satellite validation and identification of NO2 trends. The method can be replicated on other instruments of the international Brewer network.
Janusz W. Krzyścin, Bonawentura Rajewska-Więch, and Janusz Jarosławski
Earth Syst. Sci. Data, 13, 4425–4436, https://doi.org/10.5194/essd-13-4425-2021, https://doi.org/10.5194/essd-13-4425-2021, 2021
Short summary
Short summary
The article presents a dataset comprising all manual observations of total column ozone taken at Belsk (Poland) from 23 March 1963 up to 31 December 2019 by the Dobson spectrophotometer. The dataset contains results of ~115 000 intraday measurements. The original data can be used for trend analyses as the instrument's aging has not been detected. For comparative research with other ozone data sources, correction procedures (for adjustments to the Brewer spectrophotometer output) are proposed.
Juan-Carlos Antuña-Marrero, Graham W. Mann, John Barnes, Albeht Rodríguez-Vega, Sarah Shallcross, Sandip S. Dhomse, Giorgio Fiocco, and Gerald W. Grams
Earth Syst. Sci. Data, 13, 4407–4423, https://doi.org/10.5194/essd-13-4407-2021, https://doi.org/10.5194/essd-13-4407-2021, 2021
Short summary
Short summary
The first multi-year stratospheric aerosol lidar dataset was recovered and recalibrated. The vertical profile dataset, January 1964 to August 1965 at Lexington, MA, and July to August 1964 at Fairbanks, AK, provides info on volcanic forcing after the 1963 Agung eruption. Applying two-way transmittance correction to the original dataset reveals data variations, with corrected stratospheric aerosol optical depth (sAOD) highest in 1965 with the highest 532 nm sAOD peak at 0.07 in March 1965.
Luca Palchetti, Marco Barucci, Claudio Belotti, Giovanni Bianchini, Bertrand Cluzet, Francesco D'Amato, Samuele Del Bianco, Gianluca Di Natale, Marco Gai, Dina Khordakova, Alessio Montori, Hilke Oetjen, Markus Rettinger, Christian Rolf, Dirk Schuettemeyer, Ralf Sussmann, Silvia Viciani, Hannes Vogelmann, and Frank Gunther Wienhold
Earth Syst. Sci. Data, 13, 4303–4312, https://doi.org/10.5194/essd-13-4303-2021, https://doi.org/10.5194/essd-13-4303-2021, 2021
Short summary
Short summary
The FIRMOS far-infrared (IR) prototype, developed for the preparation of the ESA FORUM mission, was deployed for the first time at Mt. Zugspitze at 3000 m altitude to measure the far-IR spectrum of atmospheric emissions. The measurements, including co-located radiometers, lidars, radio soundings, weather, and surface properties, provide a unique dataset to study radiative properties of water vapour, cirrus clouds, and snow emissivity over the IR emissions, including the under-explored far-IR.
Kevin Lamy, Thierry Portafaix, Colette Brogniez, Kaisa Lakkala, Mikko R. A. Pitkänen, Antti Arola, Jean-Baptiste Forestier, Vincent Amelie, Mohamed Abdoulwahab Toihir, and Solofoarisoa Rakotoniaina
Earth Syst. Sci. Data, 13, 4275–4301, https://doi.org/10.5194/essd-13-4275-2021, https://doi.org/10.5194/essd-13-4275-2021, 2021
Short summary
Short summary
This paper is about the presentation of the UV-Indien measurement network. This network measures the ultraviolet radiation emitted by the Sun received at the Earth's surface and the clouding above each station. It has been deployed at several sites in the Indian Ocean region representing different environmental conditions. A description of the instruments and their calibration, maintenance, and data processing is presented in this paper along with a valuation of the data quality.
Thierno Doumbia, Claire Granier, Nellie Elguindi, Idir Bouarar, Sabine Darras, Guy Brasseur, Benjamin Gaubert, Yiming Liu, Xiaoqin Shi, Trissevgeni Stavrakou, Simone Tilmes, Forrest Lacey, Adrien Deroubaix, and Tao Wang
Earth Syst. Sci. Data, 13, 4191–4206, https://doi.org/10.5194/essd-13-4191-2021, https://doi.org/10.5194/essd-13-4191-2021, 2021
Short summary
Short summary
Most countries around the world have implemented control measures to combat the spread of the COVID-19 pandemic, resulting in significant changes in economic and personal activities. We developed the CONFORM (COvid-19 adjustmeNt Factors fOR eMissions) dataset to account for changes in emissions during lockdowns. This dataset was created with the intention of being directly applicable to existing global and regional inventories used in chemical transport models.
Greg E. Bodeker, Jan Nitzbon, Jordis S. Tradowsky, Stefanie Kremser, Alexander Schwertheim, and Jared Lewis
Earth Syst. Sci. Data, 13, 3885–3906, https://doi.org/10.5194/essd-13-3885-2021, https://doi.org/10.5194/essd-13-3885-2021, 2021
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 from 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.
Cited articles
Akagi, S. K., Yokelson, R. J., Wiedinmyer, C., Alvarado, M. J., Reid, J. S.,
Karl, T., Crounse, J. D., and Wennberg, P. O.: Emission factors for open and
domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys.,
11, 4039–4072, https://doi.org/10.5194/acp-11-4039-2011, 2011.
Andela, N., Morton, D. C., Giglio, L., Chen, Y., van der Werf, G. R.,
Kasibhatla, P. S., DeFries, R. S., Collatz, G. J., Hantson, S., Kloster, S.,
Bachelet, D., Forrest, M., Lasslop, G., Li, F., Mangeon, S., Melton, J. R.,
Yue, C., and Randerson, J. T.: A human-driven decline in global burned area,
Science, 356, 1356–1361, https://doi.org/10.1126/science.aal4108, 2017.
Anderson, K., Simpson, B., Hall, R. J., Englefield, P., Gartrell, M., and
Metsaranta, J. M.: Integrating forest fuels and land cover data for improved
estimation of fuel consumption and carbon emissions from boreal fires, Int.
J. Wildland Fire, 24, 665–679, https://doi.org/10.1071/WF14142, 2015.
Bechtold, W. A. and Patterson, P. L. (Eds.): The enhanced Forest Inventory
and Analysis program–national sampling design and estimation procedures,
Gen. Tech Rep. SRS-80, USDA, Forest Service, Southern Research Station,
Asheville, North Carolina, 85 pp., available at:
https://www.treesearch.fs.fed.us/pubs/20371 (last access: 27 April
2017), 2005.
Blackard, J. A., Finco, M. V., Helmer, E. H., Holden, G. R., Hoppus, M. L.,
Jacobs, D. M., Lister, A. J., Moisen, G. G., Nelson, M. D., Riemann, R.,
Ruefenacht, B., Salajanu, D., Weyermann, D. L., Winterberger, K. C.,
Brandeis, T. J., Czaplewski, R. L., McRoberts, R. E., Patterson, P. L., and
Tymcio, R. P.: Mapping U.S. forest biomass using nationwide forest inventory
data and moderate resolution information, Remote Sens. Environ., 112,
1658–1677, https://doi.org/10.1016/j.rse.2007.08.021, 2008.
Brey, S. J. and Fischer, E. V.: Smoke in the City: How Often and Where Does
Smoke Impact Summertime Ozone in the United States?, Environ. Sci. Technol.,
50, 1288–1294, https://doi.org/10.1021/acs.est.5b05218, 2016.
Brown, J. K., Marsden, M. M., Ryan, K. C., and Reinhardt, E. D.: Predicting
duff and woody fuel consumed by prescribed fire in the northern Rocky
Mountains. Res. Pap. INT-337, USDA, Forest Service, Intermountain Forest and
Range Experiment Station, 23 pp., available at:
https://www.fs.usda.gov/treesearch/pubs/32531 (last access: 30 May
2018), 1985.
Cohen, J. D. and Deeming, J. E.: The national fire-danger rating system:
basic equations, Gen. Tech. Rep. PSW-GTR-82, U.S. Department of Agriculture,
Forest Service, Pacific Southwest Forest and Range Experiment Station,
Berkeley, CA, 16 pp., https://doi.org/10.2737/PSW-GTR-82, 1985.
De Groot, W. J., Landry, R., Kurz, W. A., Anderson, K. R., Englefield, P.,
Fraser, R. H., Hall, R. J., Banfield, E., Raymond, D. A., Decker, V., and
Lynham, T. J.: Estimating direct carbon emissions from Canadian wildland
fires, Int. J. Wildland Fire, 16, 593–606, https://doi.org/10.1071/WF06150, 2007.
Eidenshink, J., Schwind, B., Brewer, K., Zhu, Z., Quayle, B., and Howard S.:
A project for monitoring trends in burn severity, Fire Ecology, 3, 3–21,
https://doi.org/10.4996/fireecology.0301003, 2007.
Eggleston, H. S., Buendia, L., Miwa, K., Ngara, T., and Tanabe, K. (Eds.):
IPCC: 2006 Guidelines for National Greenhouse Gas Inventories, National
Greenhouse Gas Inventories Programme, IGES, Japan, 3.1–3.66, 2006.
Fann, N., Alman, B., Broome, R. A., Morgan, G. G., Johnston, F. H., Pouliot,
G., and Rappold, A. G.: The health impacts and economic value of wildland
fire episodes in the U.S.: 2008–2012, Sci. Total Environ., 610–611,
802–809, https://doi.org/10.1016/j.scitotenv.2017.08.024, 2018.
Fisk, W. J. and Chan, W. R.: Health benefits and costs of filtration
interventions that reduce indoor exposure to PM2.5 during wildfires,
Indoor Air, 27, 191–204, https://doi.org/10.1111/ina.12285, 2017.
Forest Inventory and Analysis (FIA): Data and Tools, available at:
https://www.fia.fs.fed.us/tools-data/ (last access: 10 April 2017),
2015.
Frandsen, W. I.: Modeling Big Sagebrush as a Fuel, J. Range Manage.,
36, 596–600, https://doi.org/10.2307/3898349, 1983.
French, N. H. F., McKenzie, D., Erickson, T., Koziol, B., Billmire, M.,
Endsley, K. A., Scheinerman, N. K. Y., Jenkins, L., Miller, M. E., Ottmar,
R., and Prichard, S.: Modeling Regional-Scale Wildland Fire Emissions with the
Wildland Fire Emissions Information System, Earth Interact., 18, 1–26,
https://doi.org/10.1175/EI-D-14-0002.1, 2014.
GEOMAC: Geospatial Multi-Agency Coordination Group, Wildland Fire Support,
Services and Data, available at: https://www.geomac.gov/ (last access: 4 June 2018),
2015.
GFED, V4.1s, Data Access, Global Fire Emissions Database, available at: https://www.globalfiredata.org/data.html, last
access: 15 November 2018.
Giglio, L., Descloitres, J., Justice, C. O., and Kaufman, Y. J.: An enhanced
contextual fire detection algorithm for MODIS, Remote Sens. Environ., 87,
273–282, https://doi.org/10.1016/S0034-4257(03)00184-6, 2003.
Giglio, L., Loboda, T., Roy, D. P., Quayle, B., and Justice, C. O.: An
active-fire based burned area mapping algorithm for the MODIS sensor, Remote
Sens. Environ., 113, 408–420, https://doi.org/10.1016/j.rse.2008.10.006, 2009.
Giglio, L., Randerson, J. T., and van der Werf, G. R.: Analysis of daily,
monthly, and annual burned area using the fourth generation global fire
emissions database (GFED4), J. Geophys. Res.-Biogeo., 118, 317–328,
https://doi.org/10.1002/jgrg.20042, 2013.
Giglio, L., Boschetti, C. J., and Roy. D.: MCD64A1 MODIS/Terra+Aqua Burned Area
Monthly L3 Global 500 m SIN Grid V006, Data set, NASA EOSDIS Land Processes
DAAC, https://doi.org/10.5067/MODIS/MCD64A1.006 (last access: 27 April 2017),
2015.
Gong, X., Kaulfus, A., Nair, U., and Jaffe, D. A.: Quantifying O-3 Impacts in
Urban Areas Due to Wildfires Using a Generalized Additive Model, Environ.
Sci. Technol., 51, 13216–13223, https://doi.org/10.1021/acs.est.7b03130, 2017.
Harrington, M. G.: Estimating ponderosa pine fuel moisture using national
fire-danger rating fuel moisture values, USDA Forest Service Research Paper
RM-233, Rocky Mountain Forest and Range Experiment Station, Fort Collins, CO,
7 pp., 1982.
Hatch, L. E., Luo, W., Pankow, J. F., Yokelson, R. J., Stockwell, C. E., and
Barsanti, K. C.: Identification and quantification of gaseous organic
compounds emitted from biomass burning using two-dimensional gas
chromatography–time-of-flight mass spectrometry, Atmos. Chem. Phys., 15,
1865–1899, https://doi.org/10.5194/acp-15-1865-2015, 2015.
Hawbaker, T. J., Radeloff, V. C., Syphard, A. D., Zhu, Z., and Stewart, S.
I.: Detection rates of the MODIS active fire product in the United States,
Remote Sens. Environ., 112, 2656–2664, https://doi.org/10.1016/j.rse.2007.12.008, 2008.
Homer, C. G., Dewitz, J. A., Yang, L., Jin, S., Danielson, P., Xian, G.,
Coulston, J., Herold, N. D., Wickham, J. D., and Megown, K.: Completion of
the 2011 National Land Cover Database for the conterminous United
States-Representing a decade of land cover change information, Photogramm.
Eng. Rem. S., 81, 345–354, https://doi.org/10.14358/PERS.81.5.345, 2015.
Hough, W. A.: Estimating available fuel weight consumed by prescribed fires
in the south. Research Paper SE-RP-187, USDA Forest Service, Southern Forest
Experiment Station, 12 pp., available at:
https://www.fs.usda.gov/treesearch/pubs/42406 (last access: 30 May
2018), 1978.
Irisarri, J. G. N., Derner, J. D., Porensky, L. M., Augustine, D. J., Reeves,
J. L., and Mueller, K. E.: Grazing intensity differentially regulates ANPP
response to precipitation in North American semiarid grasslands, Ecol. Appl.,
26, 1370–1380, https://doi.org/10.1890/15-1332, 2016.
Jaffe, D. A. and Wigder, N. L.: Ozone production from wildfires: A critical
review, Atmos. Environ., 51, 1–10, https://doi.org/10.1016/j.atmosenv.2011.11.063, 2012.
Johnston, F. H., Henderson, S. B., Chen, Y., Randerson, J. T., Marlier, M.,
DeFries, R. S., Kinney, P., Bowman, D. M. J. S., and Brauer, M.: Estimated
Global Mortality Attributable to Smoke from Landscape Fires, Environ. Health
Perspect., 120, 695–701, https://doi.org/10.1289/ehp.1104422, 2012.
Keane, R. E., Herynk, J. M., Toney, C., Urbanski, S. P., Lutes, D. C., and
Ottmar, R. D.: Evaluating the performance and mapping of three fuel
classification systems using Forest Inventory and Analysis surface fuel
measurements, Forest Ecol. Manage., 305, 248–263,
https://doi.org/10.1016/j.foreco.2013.06.001, 2013.
Key, C. H. and Benson, N. C.: Landscape Assessment (LA), FIREMON: Fire
Effects Monitoring and Inventory System, edited by: Lutes, D. C., Keane, R.
E., Caratti, J. F., Key, C. H., Benson, N. C., Sutherland, S., and Gangi, L.
J., Gen. Tech. Rep. RMRS-GTR-164-CD, USDA, Forest Service, Rocky Mountain
Research Station, Fort Collins, CO, LA-1-51, available at:
https://www.treesearch.fs.fed.us/pubs/24066 (last access: 28 April
2017), 2006.
Kochi, I., Champ, P. A., Loomis, J. B., and Donovan, G. H.: Valuing mortality
impacts of smoke exposure from major southern California wildfires, J. Forest
Econ., 18, 61–75, https://doi.org/10.1016/j.jfe.2011.10.002, 2012.
Kolden, C. A., Lutz, J. A., Key, C. H., Kane, J. T., and Van Wagtendonk, J.
W.: Mapped versus actual burned area within wildfire perimeters:
characterizing the unburned, Forest Ecol. Manage., 286, 38–47,
https://doi.org/10.1016/j.foreco.2012.08.020, 2012.
LANDFIRE: LANDFIRE Project, U.S. Department of Interior, Geological Survey,
available at: http://www.landfire.gov/ (last access: 28 April 2017),
2016.
Larkin, N. K., Raffuse, S. M., and Strand, T. M.: Wildland fire emissions,
carbon, and climate: US emissions inventories, Forest Ecol. Manage., 317,
61–69, https://doi.org/10.1016/j.foreco.2013.09.012, 2014.
Lindaas, J., Farmer, D. K., Pollack, I. B., Abeleira, A., Flocke, F.,
Roscioli, R., Herndon, S., and Fischer, E. V.: Changes in ozone and
precursors during two aged wildfire smoke events in the Colorado Front Range
in summer 2015, Atmos. Chem. Phys., 17, 10691–10707,
https://doi.org/10.5194/acp-17-10691-2017, 2017.
Liu, J. C., Pereira, G., Uhl, S. A., Bravo, M. A., and Bell, M. L.: A
systematic review of the physical health impacts from non-occupational
exposure to wildfire smoke, Environ. Res., 136, 120–132,
https://doi.org/10.1016/j.envres.2014.10.015, 2015.
Liu, J. C., Mickley, L. J., Sulprizio, M. P., Dominici, F., Yue, X., Ebisu,
K., Anderson, G. B., Khan, R. F. A., Bravo, M. A., and Bell, M. L.:
Particulate air pollution from wildfires in the Western US under climate
change, Clim. Change, 138, 655–666, https://doi.org/10.1007/s10584-016-1762-6, 2016.
Liu, X., Huey, L. G., Yokelson, R. J., Selimovic, V., Simpson, I. J.,
Müller, M., Jimenez, J. L., Campuzano-Jost, P., Beyersdorf, A. J., Blake,
D. R., Butterfield, Z., Choi, Y., Crounse, J. D., Day, D. A., Diskin, G. S.,
Dubey, M. K., Fortner, E., Hanisco, T. F., Hu, W., King, L. E., Kleinman, L.,
Meinardi, S., Mikoviny, T., Onasch, T. B., Palm, B. B., Peischl, J., Pollack,
I. B., Ryerson, T. B., Sachse, G. W., Sedlacek, A. J., Shilling, J. E.,
Springston, S., St. Clair, J. M., Tanner, D. J., Teng, A. P., Wennberg, P.
O., Wisthaler, A., and Wolfe, G. M.: Airborne measurements of western U.S.
wildfire emissions: Comparison with prescribed burning and air quality
implications, J. Geophys. Res.-Atmos., 122, 6108–6129,
https://doi.org/10.1002/2016JD026315, 2017.
Lu, X., Zhang, L., Yue, X., Zhang, J., Jaffe, D. A., Stohl, A., Zhao, Y., and
Shao, J.: Wildfire influences on the variability and trend of summer surface
ozone in the mountainous western United States, Atmos. Chem. Phys., 16,
14687–14702, https://doi.org/10.5194/acp-16-14687-2016, 2016.
Lutes, D. C., Keane, R. E., and Caratti, J. F.: A surface fuel classification
for estimating fire effects, Int. J. Wildland Fire, 18, 802–814,
https://doi.org/10.1071/WF08062, 2009.
Lutes, D. C.: FOFEM: First Order Fire Effects Model v6.3 User Guide,
available at: http://firelab.org/project/fofem (last access: 27 April
2017), 2016a.
Lutes, D. C.: FuelCalc 1.4 User's Guide, USDA, Forest Service, Rocky Mountain
Research Station, Fire Modeling Institute, available at:
https://www.firelab.org/sites/default/files/images/downloads/FuelCalc_User_Guide_0.pdf
(last access: 27 April 2017), 2016b.
May, A. A., McMeeking, G. R., Lee, T., Taylor, J. W., Craven, J. S., Burling,
I., Sullivan, A. P., Akagi, S., Collett, J. L., Flynn, M., Coe, H., Urbanski,
S. P., Seinfeld, J. H., Yokelson, R. J., and Kreidenweis, S. M.: Aerosol
emissions from prescribed fires in the United States: A synthesis of
laboratory and aircraft measurements, J. Geophys. Res.-Atmos., 119,
11826–11849, https://doi.org/10.1002/2014JD021848, 2014.
MCD64A1 Collection 5.1, Data Access, available at:
ftp://ba1.geog.umd.edu/ (last access: 4 June 2018), 2016.
McKenzie, D., French, N. H. F., and Ottmar, R. D.: National database for
calculating fuel available to wildfires, Eos T. Am. Geophys. Un., 93, 57–58,
https://doi.org/10.1029/2012EO060002, 2012.
Melvin, M. A.: 2015 National prescribed fire use survey report, Technical
Report 02-15, Coalition of Prescribed Fire Councils, Inc, available at:
http://www.prescribedfire.net/ (last access 4 June 2018), 2016.
Miller, J. D. and Yool, S. R.: Mapping forest post-fire canopy consumption in
several overstory types using multi-temporal Landsat TM and ETM data, Remote
Sens. Environ., 82, 481–496, https://doi.org/10.1016/S0034-4257(02)00071-8, 2002.
MTBS, Burned Area Boundaries Data, available at:
https://www.mtbs.gov/direct-download (last access: 4 June 2018), 2017a.
MTBS, National MTBS Burn Severity Mosaics Data, available at:
https://www.mtbs.gov/direct-download (last access: 4 June 2018), 2017b.
MTBS, Monitoring trends in Burn Severity, available at:
http://mtbs.gov/index.html, last access: 8 April 2017c.
MTRI: Wildland Fire Emissions Information System, WFEIS, V0.5, Michigan Tech
Research Institute, Data Access, available at: http://wfeis.mtri.org/,
last access: 15 November 2018.
NCAR: Fire Emission Factors and Emission Inventories, FINN V1.5, National
Center for Atmospheric Research, available at:
http://bai.acom.ucar.edu/Data/fire/, last access: 15 November 2018.
NIFC: Statistics, Historical Wildland Fire Information, National Interagency
Fire Center, available at:
https://www.nifc.gov/fireInfo/fireInfo_statistics.html, last access: 4
June 2018.
Nishihama, M., Wofle, R., Solomon, D., Patt, F., Blacnette, J., Fleig, A.,
and Masuoka, E.: MODIS Level 1A Earth Location: Algorithm Theoretical Basis
Document Version 3.0, available at:
https://modis.gsfc.nasa.gov/data/atbd/atbd_mod28_v3.pdf (last access:
10 April 2017), 1997.
NOAA: National Air Quality Forecast Capability Summary, National Oceanic and
Atmospheric Administration, available at:
https://www.weather.gov/sti/stimodeling_airquality_summary, last
access: 10 April 2018.
Nuvolone, D., Petri, D., and Voller, F.: The effects of ozone on human
health, Environ. Sci. Pollut. Res., 25, 8074–8088,
https://doi.org/10.1007/s11356-017-9239-3, 2018.
O'Connell, B. M., Conkling, B. L., Wilson, A. M., Burrill, E. A., Turner, J.
A., Pugh, S. A., Christiansen, G., Ridley, T., and Menlove, J.: The Forest
Inventory and Analysis Database: Database description and user guide version
6.1 for Phase 2, U.S. Department of Agriculture, Forest Service, 892 pp.,
available at:
https://www.fia.fs.fed.us/library/database-documentation/historic/ver6/FIADB
User Guide P2_6-1_final.pdf (last access: 27 April 2017), 2016.
O'Connell, B. M., Conkling, B. L., Wilson, A. M., Burrill, E. A., Turner, J.
A., Pugh, S. A., Christiansen, G., Ridley, T., and Menlove, J.: The Forest
Inventory and Analysis Database: Database description and user guide version
7.0 for Phase 2, U.S. Department of Agriculture, Forest Service, 830 pp.,
available at:
https://www.fia.fs.fed.us/library/database-documentation/current/ver70/FIADB
User Guide P2_7-0_ntc.final.pdf, last access: 27 April 2017.
Ottmar, R. D., Sandberg, D. V., Riccardi, C. L., and Prichard, S. J.: An
overview of the Fuel Characteristic Classification System – Quantifying,
classifying, and creating fuelbeds for resource planning, Can. J. Forest.
Res., 37, 2383–2393, https://doi.org/10.1139/X07-077, 2007.
Prichard, S. J., Ottmar, R. D., and Anderson, G. K.: Consume 3.0 user's
guide, Pacific Northwest Research Station, Corvallis, Oregon, 234 pp.,
available at:
http://www.fs.fed.us/pnw/fera/research/smoke/consume/consume30_users_guide.pdf
(last access: 27 April 2017), 2006.
Rappold, A. G., Fann, N. L., Crooks, J., Huang, J., Cascio, W. E., Devlin, R.
B., and Diaz-Sanchez, D.: Forecast-Based Interventions Can Reduce the Health
and Economic Burden of Wildfires, Environ. Sci. Technol., 48, 10571–10579,
https://doi.org/10.1021/es5012725, 2014.
Reeves, M. C.: Development of the Rangeland Vegetation Simulator: A module of
the Forest Vegetation Simulator, A Final Report to the Joint Fire Sciences
Program, Project ID: 12-1-02-15, 129 pp., 2016.
Reeves, M. C. and Mitchell, J. E.: Extent of coterminous US rangelands:
quantifying implications of differing agency perspectives, Rangeland Ecol.
Manag., 64, 585–597, https://doi.org/10.2111/REM-D-11-00035.1, 2011.
Reid, J. S., Koppmann, R., Eck, T. F., and Eleuterio, D. P.: A review of
biomass burning emissions part II: intensive physical properties of biomass
burning particles, Atmos. Chem. Phys., 5, 799–825,
https://doi.org/10.5194/acp-5-799-2005, 2005a.
Reid, J. S., Eck, T. F., Christopher, S. A., Koppmann, R., Dubovik, O.,
Eleuterio, D. P., Holben, B. N., Reid, E. A., and Zhang, J.: A review of
biomass burning emissions part III: intensive optical properties of biomass
burning particles, Atmos. Chem. Phys., 5, 827–849,
https://doi.org/10.5194/acp-5-827-2005, 2005b.
Reisen, F., Duran, S. M., Flannigan, M., Elliott, C., and Rideout, K.:
Wildfire smoke and public health risk, Int. J. Wildland Fire, 24, 1029–1044,
https://doi.org/10.1071/WF15034, 2015.
Riccardi, C. L., Ottmar, R. D., Sandberg, D. V., Andreu, A., Elman, E.,
Kopper, K., and Long, J.: The fuelbed: a key element of the fuel
characteristic classification system, Can. J. Forest Res., 37, 2394–2412,
https://doi.org/10.1139/X07-143, 2007.
Ruefenacht, B., Finco, M. V., Nelson, M. D., Czaplewski, R., Helmer, E. H.,
Blackard, J. A., Holden, G. R., Lister, A. J., Salajanu, D., Weyermann, D.,
and Winterberger, K.: Conterminous U.S. and Alaska forest Type mapping using
forest inventory and analysis data, Photogramm. Eng. Remote S., 74,
1379–1388, https://doi.org/10.14358/PERS.74.11.1379, 2008.
Schroeder, W., Oliva, P., Giglio, L., and Csiszar, I. A.: The New VIIRS
375 m active fire detection data product: Algorithm description and initial
assessment, Remote Sens. Environ., 143, 85–96,
https://doi.org/10.1016/j.rse.2013.12.008, 2014.
Schwind, B.: Monitoring trends in burn severity: report on the PNW & PSW
fires – 1984 to 2005, MTBS Project Team, U.S. Geologiocal Survey and U.S.
Forest Service, Remote Sensing Applications Center, Salt Lake City, Utah,
2008.
Scott, J. H. and Burgan, R. E.: Standard fire behavior fuel models: a
comprehensive set for use with Rothermel's surface fire spread model, U.S.
Department of Agriculture, Forest Service, Rocky Mountain Research Station,
Fort Collins, CO, Gen. Tech. Rep. RMRS-GTR-153, 72 pp.,
https://doi.org/10.2737/RMRS-GTR-153, 2005.
Scott, J. H. and Reinhardt, E. D.: Assessing crown fire potential by linking
models of surface and crown fire behavior, U.S. Department of Agriculture,
Forest Service, Rocky Mountain Research Station, Fort Collins, CO, USA, Res.
Pap. RMRS-RP-29, 59 pp., https://doi.org/10.2737/RMRS-RP-29, 2001.
Short, K. C.: Spatial wildfire occurrence data for the United States,
1992–2015 [FPA_FOD_20170508], 4th edn., Fort Collins, CO, Forest Service
Research Data Archive, https://doi.org/10.2737/RDS-2013-0009.4, 2017.
Soil Survey Staff: Natural Resources Conservation Service, United States
Department of Agriculture, Soil Survey Geographic (SSURGO) Database,
available at: https://sdmdataaccess.sc.egov.usda.gov, last access: May
2016.
Urbanski, S.: Wildland fire emissions, carbon, and climate: Emission factors,
Forest Ecol. Manage., 317, 51–60, https://doi.org/10.1016/j.foreco.2013.05.045, 2014.
Urbanski, S. P., Salmon, J. M., Nordgren, B. L., and Hao, W. M.: A MODIS
direct broadcast algorithm for mapping wildfire burned area in the western
United States, Remote Sens. Environ., 113, 2511–2526,
https://doi.org/10.1016/j.rse.2009.07.007, 2009.
Urbanski, S. P., Reeves, M. C., Corley, R. E., Hao, W. M., and Silverstein,
R. P.: Missoula Fire Lab Emission Inventory (MFLEI) for CONUS, Forest Service
Research Data Archive, Fort Collins, CO, https://doi.org/10.2737/RDS-2017-0039 (last
access: 4 December 2018), 2017.
USDA Forest Service: Wildland Fire Assessment System, available at:
http://www.wfas.net/ (last access: 27 April 2017), 2015.
USDA Forest Service: Remote Sensing Applications Center, Active Fire Mapping
Program, Fire detection GIS Data, available at:
https://fsapps.nwcg.gov/afm/gisdata.php, last access: 10 April 2017.
USEPA: Guidance on the use of models and other analyses for demonstrating
attainment of air quality goals for ozone, PM2.5, and Regional Haze,
United States Environmental Protection Agency, EPA-454/B-07-002, 2007.
USEPA: The Clean Air Act in a nutshell: how it works, United States
Environmental Protection Agency, available at:
https://www.epa.gov/clean-air-act-overview/clean-air-act-nutshell-how-it-works
(last access: 3 April 2018), 2013.
USEPA: NAAQS table, United States Environmental Protection Agency, available
at: https://www.epa.gov/criteria-air-pollutants/naaqs-table, last
access: 3 April 2018a.
USEPA: Exceptional events rule and guidance, United States Environmental
Protection Agency, available at:
https://www.epa.gov/air-quality-analysis/exceptional-events-rule-and-guidance,
last access: 4 April 2018b.
USEPA: 2014 National emissions inventory (NEI) data, Tier Summaries, United
States Environmental Protection Agency, available at:
https://www.epa.gov/air-emissions-inventories/2014-national-emissions-inventory-nei-data,
last access: 10 April 2018c.
van der Werf, G. R., Randerson, J. T., Giglio, L., van Leeuwen, T. T., Chen,
Y., Rogers, B. M., Mu, M., van Marle, M. J. E., Morton, D. C., Collatz, G.
J., Yokelson, R. J., and Kasibhatla, P. S.: Global fire emissions estimates
during 1997–2016, Earth Syst. Sci. Data, 9, 697–720,
https://doi.org/10.5194/essd-9-697-2017, 2017.
Wiedinmyer, C., Akagi, S. K., Yokelson, R. J., Emmons, L. K., Al-Saadi, J.
A., Orlando, J. J., and Soja, A. J.: The Fire INventory from NCAR (FINN): a
high resolution global model to estimate the emissions from open burning,
Geosci. Model Dev., 4, 625–641, https://doi.org/10.5194/gmd-4-625-2011,
2011.
Williamson, G. J., Bowman, D. M. J. S., Price, O. F., Henderson, S. B., and
Johnston, F. H.: A transdisciplinary approach to understanding the health
effects of wildfire and prescribed fire smoke regimes, Environ. Res. Lett.,
11, 125009, https://doi.org/10.1088/1748-9326/11/12/125009, 2016.
Wilson, B. T., Woodall, C. W., and Griffith, D. M.: Forest carbon stocks of
the contiguous United States (2000–2009), U.S. Department of Agriculture,
Forest Service, Northern Research Station, Newtown Square, PA,
https://doi.org/10.2737/RDS-2013-0004 (last access: 27 April 2017), 2013.
Woodall, C. W. and Monleon, V. J.: Sampling protocol, estimation, and
analysis procedures for the down woody materials indicator of the FIA
program, U.S. Department of Agriculture, Forest Service, Northern Research
Station, Newtown Square, PA, Gen. Tech. Rep. NRS-22, 68 pp.,
https://doi.org/10.2737/NRS-GTR-22 (last access: 27 April 2017), 2008.
Woodall, C. W., Walters, B. F., Oswalt, S. N., Domke, G. M., Toney, C., and
Gray, A. N.: Biomass and carbon attributes of downed woody materials in
forests of the United States, Forest Ecol. Manage., 305, 48–59,
https://doi.org/10.1016/j.foreco.2013.05.030, 2013.
Zhang, X., Kondragunta, S., Da Silva, A., Lu, S., Ding, H., Li, F., and Zhu,
Y.: The blended global biomass burning emissions product from modis, viirs,
and geostationary satellites (gbbepx) version 2, National Oceanic and
Atmospheric Administration, available at:
http://www.ospo.noaa.gov/Products/land/gbbepx/docs/GBBEPx_ ATBD.pdf
(last access 4 June 2018), 2017.
Short summary
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.
Wildfires are a major source of air pollutants in the US that trigger pollution episodes and...
