Final revised paper published in ESSD(21 comments)
Land surface temperature is a key variable for climate and ecological environment research. We reconstructed a land surface temperature dataset (2003–2017) to take advantage of the ground observation site through building a reconstruction model which overcomes the effects of cloud. The reconstructed dataset exhibited significant improvements and can be used for the spatiotemporal evaluation of land surface temperature and for high-temperature and drought-monitoring studies.
Magí Franquesa, Melanie K. Vanderhoof, Renata Libonati, Julia A. Rodrigues, Alberto W. Setzer, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, and Emilio Chuvieco
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-74,https://doi.org/10.5194/essd-2020-74, 2020
Revised manuscript accepted for ESSD(discussion: closed, 18 comments)
The article presents a database of reference sites for burned area products validation. We have compiled 2769 reference files from different international projects. The paper describes the methods used to generate and standardize the data. The Burned Area Reference Data (BARD) is publicly available and will facilitate the arduous task of validating burned area algorithms.
Final revised paper published in ESSD(16 comments)
Nuuk fen site is a well-instrumented Greenlandic site where soil physical variables and greenhouse gas fluxes are monitored. But knowledge of soil carbon stocks and profiles is missing. This is a crucial shortcoming for a complete evaluation of models. For the first time we measured soil carbon and nitrogen density, profiles, and stocks in the Nuuk peatland. This new dataset can contribute to further develop joint modeling of greenhouse gas emissions and soil carbon in land-surface models.
Are Olsen, Nico Lange, Robert M. Key, Toste Tanhua, Henry C. Bittig, Alex Kozyr, Marta Àlvarez, Kumiko Azetsu-Scott, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Sara Jutterström, Camilla S. Landa, Siv K. Lauvset, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, and Ryan J. Woosley
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-165,https://doi.org/10.5194/essd-2020-165, 2020
Revised manuscript accepted for ESSD(discussion: closed, 10 comments)
GLODAP is a data product for ocean inorganic carbon and related biogeochemical variables measured by chemical analysis of water bottle samples at scientific cruises. GLODAPv2.2020 is the second update of GLODAPv2 from 2016. The data that are included have been subjected to extensive quality control, including systematic evaluation of measurement biases. This version contains data from 946 hydrographic cruises covering the world's oceans from 1972 to 2019.
Marco Pfeiffer, José Padarian, Rodrigo Osorio, Nelson Bustamante, Guillermo Federico Olmedo, Mario Guevara, Felipe Aburto, Francisco Albornoz, Monica Antilén, Elías Araya, Eduardo Arellano, Maialen Barret, Juan Barrera, Pascal Boeckx, Margarita Briceño, Sally Bunning, Lea Cabrol, Manuel Casanova, Pablo Cornejo, Fabio Corradini, Gustavo Curaqueo, Sebastian Doetterl, Paola Duran, Mauricio Escudey, Angelina Espinoza, Samuel Francke, Juan Pablo Fuentes, Marcel Fuentes, Gonzalo Gajardo, Rafael García, Audrey Gallaud, Mauricio Galleguillos, Andrés Gomez, Marcela Hidalgo, Jorge Ivelic-Sáez, Lwando Mashalaba, Francisco Matus, Francisco Meza, Maria de la Luz Mora, Jorge Mora, Cristina Muñoz, Pablo Norambuena, Carolina Olivera, Carlos Ovalle, Marcelo Panichini, Aníbal Pauchard, Jorge F. Pérez-Quezada, Sergio Radic, José Ramirez, Nicolás Riveras, Germán Ruiz, Osvaldo Salazar, Iván Salgado, Oscar Seguel, Maria Sepúlveda, Carlos Sierra, Yasna Tapia, Francisco Tapia, Balfredo Toledo, José Miguel Torrico, Susana Valle, Ronald Vargas, Michael Wolff, and Erick Zagal
Final revised paper published in ESSD(10 comments)
The CHLSOC database is the biggest soil organic carbon (SOC) database that has been compiled for Chile yet, comprising 13 612 data points. This database is the product of the compilation of numerous sources including unpublished and difficult-to-access data, allowing us to fill numerous spatial gaps where no SOC estimates were publicly available before. The values of SOC compiled in CHLSOC have a wide range, reflecting the variety of ecosystems that exists in Chile.
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-166,https://doi.org/10.5194/essd-2020-166, 2020
Revised manuscript under review for ESSD(discussion: final response, 9 comments)
A standardized database compiled to a common format, is presented for indicators of sea level during the last interglacial from the southern African coast (Angola, Namibia and South Africa). These enable further analysis of the nature of the sea-level highstand and its regional variability.
Francesco N. Tubiello, Anssi Pekkarinen, Lars Marklund, Nathan Wanner, Giulia Conchedda, Sandro Federici, Simone Rossi, and Giacomo Grassi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-203,https://doi.org/10.5194/essd-2020-203, 2020
Preprint under review for ESSD(discussion: open, 9 comments)
This paper presents the first estimates of forest carbon fluxes (emissions and removals) based on the recently released FRA 2020 data. Results are disseminated in FAOSTAT. Deforestation emissions have continued to decrease up to 2020, to 2.9 billion tonnes CO2 annually, with remaining forests functioning as a sink (−2.5 billion tonnes CO2). Results show that in the period 2011–2015, the net effect of deforestation losses and carbon gains due to forest regrowth was a net overall carbon sink.
Focusing on the potential drawbacks in generating the state-of-the-art IMERG data in both the TRMM and GPM era, a new daily calibration algorithm on IMERG was proposed, as well as a new AIMERG precipitation dataset (0.1°/half-hourly, 2000–2015, Asia) with better quality than IMERG for Asian scientific research and applications. The proposed daily calibration algorithm for GPM is promising and applicable in generating the future IMERG in either an operational scheme or a retrospective manner.
We provide a global database of moisture flows through the atmosphere using the most recent ERA5 atmospheric reanalysis. Using this database, it is possible to determine where evaporation will rain out again. However, the reverse is also possible, to determine where precipitation originated from as evaporation. This dataset can be used to determine atmospheric moisture recycling rates and therefore how much water is lost for a catchment through the atmosphere.
Landfast ice, or fast ice, is a form of sea ice which is mechanically fastened to stationary parts of the coast. Long-term and accurate knowledge of its extent around Antarctica is critical for understanding a number of important Antarctic coastal processes, yet no accurate, large-scale, long-term dataset of its extent has been available. We address this data gap with this new dataset compiled from satellite imagery, containing high-resolution maps of Antarctic fast ice from 2000 to 2018.
Maialen Iturbide, José M. Gutiérrez, Lincoln M. Alves, Joaquín Bedia, Ruth Cerezo-Mota, Ezequiel Cimadevilla, Antonio S. Cofiño, Alejandro Di Luca, Sergio Henrique Faria, Irina V. Gorodetskaya, Mathias Hauser, Sixto Herrera, Kevin Hennessy, Helene T. Hewitt, Richard G. Jones, Svitlana Krakovska, Rodrigo Manzanas, Daniel Martínez-Castro, Gemma T. Narisma, Intan S. Nurhati, Izidine Pinto, Sonia I. Seneviratne, Bart van den Hurk, and Carolina S. Vera
We present an update of the IPCC WGI reference regions used in AR5 for the synthesis of climate change information. This revision was guided by the basic principles of climatic consistency and model representativeness (in particular for the new CMIP6 simulations). We also present a new dataset of monthly CMIP5 and CMIP6 spatially aggregated information using the new reference regions and describe a worked example of how to use this dataset to inform regional climate change studies.
Bronwen L. Konecky, Nicholas P. McKay, Olga V. Churakova (Sidorova), Laia Comas-Bru, Emilie P. Dassié, Kristine L. DeLong, Georgina M. Falster, Matt J. Fischer, Matthew D. Jones, Lukas Jonkers, Darrell S. Kaufman, Guillaume Leduc, Shreyas R. Managave, Belen Martrat, Thomas Opel, Anais J. Orsi, Judson W. Partin, Hussein R. Sayani, Elizabeth K. Thomas, Diane M. Thompson, Jonathan J. Tyler, Nerilie J. Abram, Alyssa R. Atwood, Olivier Cartapanis, Jessica L. Conroy, Mark A. Curran, Sylvia G. Dee, Michael Deininger, Dmitry V. Divine, Zoltán Kern, Trevor J. Porter, Samantha L. Stevenson, Lucien von Gunten, and Iso2k Project Members
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-176,https://doi.org/10.5194/essd-2020-176, 2020
Preprint under review for ESSD(discussion: final response, 8 comments)
The Regional Research Network „Water in Central Asia“ (CAWa) funded by the German Federal Foreign Office consists of 18 remotely operated multi-parameter stations (ROMPS) in Central Asia and are operated by German and Central Asian institutes and hydrometeorological services. They primary provide up to 10 years of raw meteorological and hydrological data especially in remote areas with extreme climate conditions in Central Asia for applications in climate and water monitoring.
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.
This work describes the entire rescue process, from digitization to quality control, of a new historical dataset that includes sub-daily meteorological observations collected in Montevergine (southern Italy) since the late 19th century. These data enhance and supplement sub-daily datasets currently available in Mediterranean regions. Moreover, they offer a unique opportunity to investigate meteorological and climatological features of the mountainous environment prior to the 1950s.
Wenhui Kuang, Shu Zhang, Xiaoyong Li, and Dengsheng Lu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-107,https://doi.org/10.5194/essd-2020-107, 2020
Revised manuscript accepted for ESSD(discussion: closed, 8 comments)
We propose a hierarchical principle on remotely sensed urban land-use/cover change for mapping intra-urban structure/component dynamics. China’s Land Use/cover Dataset (CLUD) is updated, delineating the imperviousness and green surface conditions in cities from 2000 to 2018. The newly developed datasets can be used to enhance our understanding of urbanization impacts on ecological and regional climatic conditions and urban dwellers’ environments.
The radiometric camera-by-camera cloud mask product, available for each of the nine cameras of the MISR instrument, contains a variable number of missing values, especially wherever and whenever the instrument is switched from the Global to Local Mode of operation. This paper proposes a simple method for effectively replacing those missing values and demonstrates the performance of the process. MISR data and software tools are obtainable from public domain websites to explore this issue further.
Snow is the major water resource in high-mountain Asia; therefore, it is crucial to continuously monitor it. Currently, remote sensing, mainly MODIS, is used for snow monitoring. However, the available MODIS snow product is not useful for various applications without postprocessing and improvement. This study reduces uncertainty in the MODIS snow data. We found approximately 50% underestimation and overestimation of snow cover by MODIS Terra–Aqua products, which were improved in this study.
Chris S. M. Turney, Richard Jones, Nicholas P. McKay, Erik van Sebille, Zoë A. Thomas, Claus-Dieter Hillenbrand, and Christopher J. Fogwill
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-249,https://doi.org/10.5194/essd-2019-249, 2020
Revised manuscript accepted for ESSD(discussion: closed, 8 comments)
Here we report the first iteration of a new comprehensive global sea surface temperature database for the Last Interglacial (129–116 kyr). From the new dataset we have been able to determine zonal and global temperature averages with a maximum global warming of 0.9 ± 0.2 °C in the early interglacial. Our database suggests an upper limit of 0.13 ± 0.1 m for the role of thermal expansion in global sea level rise, implying a a greater contribution from polar ice sheets than hitherto supposed.
How to accurately estimate tree and forest biomass a concern worldwide. Biomass equations are the most commonly used method. China is one of the most important ecoregions of the world. Here, we develop a tree biomass equation dataset for China via literature retrieval. This dataset consists of 5924 equations for nearly 200 tree species, showing sound geographical, climatic and forest coverage across China. Furthermore, multiple potential avenues for future research are identified.
Bram C. van Prooijen, Marion F. S. Tissier, Floris P. de Wit, Stuart G. Pearson, Laura B. Brakenhoff, Marcel C. G. van Maarseveen, Maarten van der Vegt, Jan-Willem Mol, Frank Kok, Harriette Holzhauer, Jebbe J. van der Werf, Tommer Vermaas, Matthijs Gawehn, Bart Grasmeijer, Edwin P. L. Elias, Pieter Koen Tonnon, Giorgio Santinelli, José A. A. Antolínez, Paul Lodewijk M. de Vet, Ad J. H. M. Reniers, Zheng Bing Wang, Cornelis den Heijer, Carola van Gelder-Maas, Rinse J. A. Wilmink, Cor A. Schipper, and Harry de Looff
To protect the Dutch coastal zone, sand is nourished and disposed at strategic locations. Simple questions like where, how, how much and when to nourish the sand are not straightforward to answer. This is especially the case around the Wadden Sea islands where sediment transport pathways are complicated. Therefore, a large-scale field campaign has been carried out on the seaward side of Ameland Inlet. Sediment transport, hydrodynamics, morphology and fauna in the bed were measured.
Long-term time series are a fundamental prerequisite to understanding and detecting climate shifts and trends. In marginal seas, such as the Mediterranean Sea, there are still monitoring gaps. An extensive dataset of dissolved inorganic nutrient profiles were collected between 2004 and 2017 in the western Mediterranean Sea to provide to the scientific community a publicly available, long-term, quality-controlled, internally consistent new database.
Maurizio Santoro, Oliver Cartus, Nuno Carvalhais, Danaë Rozendaal, Valerio Avitabilie, Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Pedro Rodríguez Veiga, Heiko Balzter, João Carreiras, Dmitry Schepaschenko, Mikhail Korets, Masanobu Shimada, Takuya Itoh, Álvaro Moreno Martínez, Jura Cavlovic, Roberto Cazzolla Gatti, Polyanna da Conceição Bispo, Nasheta Dewnath, Nicolas Labrière, Jingjing Liang, Jeremy Lindsell, Edward T. A. Mitchard, Alexandra Morel, Ana Maria Pacheco Pascagaza, Casey M. Ryan, Ferry Slik, Gaia Vaglio Laurin, Hans Verbeeck, Arief Wijaya, and Simon Willcock
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-148,https://doi.org/10.5194/essd-2020-148, 2020
Preprint under review for ESSD(discussion: open, 7 comments)
Forests play a crucial role in Earth’s carbon cycle. To understand the carbon cycle better, we generated a global dataset of forest aboveground biomass, i.e., carbon stocks, from satellite data of 2010. This dataset provides a comprehensive and detailed portrait of the distribution of carbon in forests although for dense forests in the tropics values are somewhat underestimated. This dataset will have considerable impact on climate, carbon and socio-economic modelling schemes.
The amount of impervious surface is an important indicator in the monitoring of the intensity of human activity and environmental change. In this study, a global 30 m impervious surface map was developed by using multisource, multitemporal remote sensing data based on the Google Earth Engine platform. The accuracy assessment indicated that the generated map had more optimal measurement accuracy compared with other state-of-art impervious surface products.
Based on geochemical data of 13 634 source rock samples from 1286 wells and 116 489 drilling results for oil and gas from 4978 wells in six major basins of China, we proposed the concept of the active source rock depth limit. It can be used to clarify and predict the maximum depth of fossil fuel distribution in sedimentary basins. The study provides fundamental information for deep hydrocarbon exploration and also advances understanding of the vertical distribution of fossil fuels on our planet.
We present a new radar-altimeter-satellite-measured river surface height dataset. Our novel approach is broadly applicable rather than location specific. We were able to measure rivers that account for > 34 % of global drainage area with an accuracy comparable to much of the established literature. 389 of our 932 measurement locations include river gage validation. We have focused our efforts on creating a consistent, well-documented data product to encourage use by the broader science community.
Corey R. Lawrence, Jeffrey Beem-Miller, Alison M. Hoyt, Grey Monroe, Carlos A. Sierra, Shane Stoner, Katherine Heckman, Joseph C. Blankinship, Susan E. Crow, Gavin McNicol, Susan Trumbore, Paul A. Levine, Olga Vindušková, Katherine Todd-Brown, Craig Rasmussen, Caitlin E. Hicks Pries, Christina Schädel, Karis McFarlane, Sebastian Doetterl, Christine Hatté, Yujie He, Claire Treat, Jennifer W. Harden, Margaret S. Torn, Cristian Estop-Aragonés, Asmeret Asefaw Berhe, Marco Keiluweit, Ágatha Della Rosa Kuhnen, Erika Marin-Spiotta, Alain F. Plante, Aaron Thompson, Zheng Shi, Joshua P. Schimel, Lydia J. S. Vaughn, Sophie F. von Fromm, and Rota Wagai
The International Soil Radiocarbon Database (ISRaD) is an an open-source archive of soil data focused on datasets including radiocarbon measurements. ISRaD includes data from bulk or whole soils, distinct soil carbon pools isolated in the laboratory by a variety of soil fractionation methods, samples of soil gas or water collected interstitially from within an intact soil profile, CO2 gas isolated from laboratory soil incubations, and fluxes collected in situ from a soil surface.
Friederike Koerting, Nicole Koellner, Agnieszka Kuras, Nina K. Boesche, Christian Rogass, Christian Mielke, Kirsten Elger, and Uwe Altenberger
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-228,https://doi.org/10.5194/essd-2019-228, 2019
Preprint under review for ESSD(discussion: final response, 7 comments)
Mineral resource exploration and mining is an essential part of today’s high-tech industry. Modern remote sensing exploration techniques from multiple platforms (e.g. satellite) to detect the spectral characteristics of the surface, require spectral libraries as an essential reference. To enable remote mapping, the spectral libraries for rare earth-bearing minerals, copper-bearing minerals and surface samples from a copper mine are presented here with their corresponding geochemical validation.
This paper describes the FAO methodology used to globally assess areas of drained organic soils and peatlands due to agriculture over the period 1990–2019. We overlay geospatial information of soil type, land cover, agro-climatic zones, livestock distribution and IPCC coefficients, then aggregate it at national level for over 200 countries and territories. Results are compared to inventory data reported to UNFCCC, showing good agreement between the FAO estimates and country data.
Ethan Welty, Michael Zemp, Francisco Navarro, Matthias Huss, Johannes J. Fürst, Isabelle Gärtner-Roer, Johannes Landmann, Horst Machguth, Kathrin Naegeli, Liss M. Andreassen, Daniel Farinotti, Huilin Li, and GlaThiDa Contributors
Knowing the thickness of glacier ice is critical for predicting the rate of glacier loss and the myriad downstream impacts. To facilitate forecasts of future change, we have added 3 million measurements to our worldwide database of glacier thickness: 14 % of global glacier area is now within 1 km of a thickness measurement (up from 6 %). To make it easier to update and monitor the quality of our database, we have used automated tools to check and track changes to the data over time.
This paper describes data from a study conducted in 2015–2016 to sample terrestrial wildlife, soil and water from two forests in north-eastern England. Sampling was targeted towards species representative of the International Commission on Radiological Protection’s (ICRP) terrestrial Reference Animals and Plants (RAPs): Wild Grass, Pine Tree, Earthworm, Bee, Rat, Deer and Frog. The dataset comprises stable-element and radionuclide activity concentrations.
Larger ecological zones and wildlife corridors in sub-Saharan Africa require monitoring, as social and economic demands put high pressure on them. Copernicus’ Hot-Spot Monitoring service developed a satellite-imagery-based monitoring workflow to map such areas. Here, we present a total of 560 442 km2 from which 153 665 km2 is mapped with eight land cover classes while 406 776 km2 is mapped with up to 32 classes. Besides presenting the thematic products, we also present our validation datasets.
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.
We measured temperature every half hour during a period of 5.5 years (2014–2019) at nine wave-exposed rocky intertidal locations along the Atlantic coast of Nova Scotia, Canada. We summarize the main properties of this data set by focusing on location-wise values of daily maximum and minimum temperature and daily SST.
Technologies to support detection and tracking of plastic litter in aquatic environments capable of repeated observations at a wide-area scale have been getting increased interest from scientists and stakeholders. We report findings about thermal infrared optical properties of naturally dried samples of algae, sands, sea shells and synthetic plastics obtained in Chile. Diagnostic features of the dataset are foreseen to contribute towards research relevant in thermal infrared sensing of plastics.
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.
India is the world's third-largest emitter of carbon dioxide and is developing rapidly. While India has pledged an emissions-intensity reduction as its contribution to the Paris Agreement, the country does not regularly report emissions statistics, making tracking progress difficult. Here I compile monthly energy and industrial activity data, allowing for the production of estimates of India's CO2 emissions by month and calendar year.
Michele Mossa, Elvira Armenio, Mouldi Ben Meftah, Maria Francesca Bruno, Diana De Padova, and Francesca De Serio
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-229,https://doi.org/10.5194/essd-2020-229, 2020
Preprint under review for ESSD(discussion: final response, 6 comments)
Two fixed stations have been installed in Mar Grande and Mar Piccolo of Taranto;this site is one of the most complex marine ecosystem models.Although the typical trends in the water circulation and exchanges have been studied by models developed for the seas of Taranto more monitoring actions and numerical modelling are still necessary to better understand the most significant hydrodynamic–biological variability of this coastal basin. The results of these study can be applied for similar zones.
Arne Ramisch, Alexander Brauser, Mario Dorn, Cecile Blanchet, Brian Brademann, Matthias Köppl, Jens Mingram, Ina Neugebauer, Norbert Nowaczyk, Florian Ott, Sylvia Pinkerneil, Birgit Plessen, Markus J. Schwab, Rik Tjallingii, and Achim Brauer
Annually laminated lake sediments (varves) record past climate change at seasonal resolution. The VARved sediments DAtabase (VARDA) is created to utilize the full potential of varves for climate reconstructions. VARDA offers free access to a compilation and synchronization of standardized climate-proxy data, with applications ranging from reconstructing regional patterns of past climate change to validating simulations of climate models. VARDA is freely accessible at https://varve.gfz-potsdam.de
The theoretical and methodological bases for all processing steps including glacial lake definition and classification and lake boundary delineation are discussed based on satellite remote sensing data and GIS techniques. The relative area errors of each lake in 2018 varied 1 %–79 % with average relative area errors of ±13.2 %. In high-mountain Asia, 30 121 glacial lakes with a total area of 2080.12 ± 2.28 km2 were catalogued in 2018 with a 15.2 % average rate of increase in area in 1990–2018.
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.
Elizabeth A. Pillar-Little, Brian R. Greene, Francesca M. Lappin, Tyler M. Bell, Antonio R. Segales, Gustavo Britto Hupsel de Azevedo, William Doyle, Sai Teja Kanneganti, Daniel D. Tripp, and Phillip B. Chilson
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-194,https://doi.org/10.5194/essd-2020-194, 2020
Revised manuscript under review for ESSD(discussion: final response, 6 comments)
During July 2018, researchers from OU participated in the LAPSE-RATE field campaign in San Luis Valley, Colorado. The OU team completed 180 flights using three RPAS over the course of six days of operation to collect vertical profiles of the thermodynamic and kinematic state of the ABL. This article describes sampling strategies, data collection, platform intercomparibility, data quality, and the dataset’s possible applications to convective initiation, drainage flows, and ABL transitions.
WFDE5 is a novel meteorological forcing dataset for running land surface and global hydrological models. It has been generated using the WATCH Forcing Data methodology applied to surface meteorological variables from the ERA5 reanalysis. It is publicly available, along with its source code, through the C3S Climate Data Store at ECMWF. Results of the evaluations described in the paper highlight the benefits of using WFDE5 compared to both ERA5 and its predecessor WFDEI.
We developed a global, high-resolution dataset and quantified recent rates of land transformation and current patterns of human modification for 2017, globally. Briefly, we found that increased human activities and land use modification have caused 1.6 × 106 km2 of natural land to be lost between 1990 and 2015 and the rate of loss has increased over that time. While troubling, we believe these findings are invaluable to underpinning global and national discussions of conservation priorities.
Guisella Gacitúa, Christoph Schneider, Jorge Arigony, Inti González, Ricardo Jaña, and Gino Casassa
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-111,https://doi.org/10.5194/essd-2020-111, 2020
Revised manuscript under review for ESSD(discussion: final response, 6 comments)
We performed the first successful ice thickness measurements using terrestrial ground-penetrating radar in the ablation area of Glacier Schiaparelli (Cordillera Darwin, Tierra del Fuego, Chile). Data are fundamental to understand glaciers dynamics, constrain ice dynamical modelling and predict glacier evolution. Results show a valley shaped bedrock below current sea level, thus further retreat of Glacier Schiaparelli will probably lead to an enlarged and strongly over-deeped proglacial lake.
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(discussion: closed, 6 comments)
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.
Carine G. van der Boog, J. Otto Koetsier, Henk A. Dijkstra, Julie D. Pietrzak, and Caroline A. Katsman
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-197,https://doi.org/10.5194/essd-2020-197, 2020
Revised manuscript accepted for ESSD(discussion: closed, 6 comments)
Thermohaline staircases are stepped structures in the ocean that contain enhanced diapycnal salt and heat transport. In this study, we present a global dataset of thermohaline staircases derived from 487,647 observations of Argo profiling floats and Ice Tethered Profilers using a novel detection algorithm.
Jin Ma, Ji Zhou, Frank-Michael Göttsche, Shunlin Liang, Shaofei Wang, and Mingsong Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-143,https://doi.org/10.5194/essd-2020-143, 2020
Revised manuscript accepted for ESSD(discussion: closed, 6 comments)
Land surface temperature is an important parameter in the research of climate change and many land surface processes. This article describes the development and testing of an algorithm for generating a consistent global long-term land surface temperature product from twenty years of NOAA AVHRR radiance data. The preliminary validation results indicate good accuracy of this new long-term product, which has been designed to simplify applications and support the scientific research community.
This work offers a vision of the global ocean regarding the carbon cycle and the implications of ocean acidification through a climatology of a changing variable in the context of climate change: total dissolved inorganic carbon. The climatology was designed through artificial intelligence techniques to represent the mean state of the present ocean. It is very useful to introduce in models to evaluate the state of the ocean from different perspectives.