Benchmark datasets and machine learning algorithms for Earth system science data (ESSD/GMD inter-journal SI)(ESSD/GMD inter-journal SI)
Benchmark datasets and machine learning algorithms for Earth system science data (ESSD/GMD inter-journal SI)(ESSD/GMD inter-journal SI)
Editor(s): Martin Schultz, Amber Leeson, and David Carlson Special issue jointly organized between Earth System Science Data and Geoscientific Model Development More information

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14 Sep 2022
Improving Latin American Soil Information Database for Digital Soil Mapping enhances its usability and scalability
Sergio Díaz-Guadarrama, Iván Lizarazo, Mario Guevara, Marcos Angelini, Gustavo A. Araujo-Carrillo, Jainer Argeñal, Daphne Armas, Rafael A. Balta, Adriana Bolivar, Nelson Bustamante, Ricardo O. Dart, Martin Dell Aqua, Arnulfo Encina, Hernán Figueredo, Fernando Fontes, Joan S. Gutiérrez-Diaz, Wilmer Jiménez, Raúl S. Lavado, Jesús F. Mansilla-Baca, Maria de Lourdes Mendonça-Santos, Lucas M. Moretti, Iván D. Muñoz, Carolina Olivera, Guillermo Olmedo, Christian Omuto, Sol Ortiz, Carla Pascale, Marco Pfeiffer, Iván A. Ramos, Danny Ríos, Rafael Rivera, Lady M. Rodríguez, Darío M. Rodríguez, Albán Rosales, Kenset Rosales, Guillermo Schulz, Victor Sevilla, Leonardo M. Tenti, Ronald Vargas, Viviana M. Varón-Ramírez, Gustavo M. Vasques, Yusuf Yigini, and Yolanda Rubiano
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-291,https://doi.org/10.5194/essd-2022-291, 2022
Preprint under review for ESSD (discussion: open, 0 comments)
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06 Jul 2022
An Improved Method Based on VGGNet for Refined Bathymetry from Satellite Altimetry: Reducing the Errors Effectively
Xiaolun Chen, Xiaowen Luo, Ziyin Wu, Xiaoming Qin, Jihong Shang, Mingwei Wang, and Hongyang Wan
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-140,https://doi.org/10.5194/gmd-2022-140, 2022
Preprint under review for GMD (discussion: open, 5 comments)
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06 Jul 2022
Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China
Li Fang, Jianbing Jin, Arjo Segers, Hai Xiang Lin, Mijie Pang, Cong Xiao, Tuo Deng, and Hong Liao
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-134,https://doi.org/10.5194/gmd-2022-134, 2022
Revised manuscript accepted for GMD (discussion: closed, 4 comments)
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17 May 2022
Causal deep learning models for studying the Earth system: soil moisture-precipitation coupling in ERA5 data across Europe
Tobias Tesch, Stefan Kollet, and Jochen Garcke
EGUsphere, https://doi.org/10.5194/egusphere-2022-105,https://doi.org/10.5194/egusphere-2022-105, 2022
Preprint under review for GMD (discussion: final response, 3 comments)
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11 May 2022
Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework
Felix Kleinert, Lukas Hubert Leufen, Aurelia Lupascu, Tim Butler, and Martin G. Schultz
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-122,https://doi.org/10.5194/gmd-2022-122, 2022
Preprint under review for GMD (discussion: final response, 3 comments)
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22 Sep 2022
Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery
Nora Gourmelon, Thorsten Seehaus, Matthias Braun, Andreas Maier, and Vincent Christlein
Earth Syst. Sci. Data, 14, 4287–4313, https://doi.org/10.5194/essd-14-4287-2022,https://doi.org/10.5194/essd-14-4287-2022, 2022
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20 Apr 2022
Estimation of missing building height in OpenStreetMap data: a French case study using GeoClimate 0.0.1
Jérémy Bernard, Erwan Bocher, Elisabeth Le Saux Wiederhold, François Leconte, and Valéry Masson
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-428,https://doi.org/10.5194/gmd-2021-428, 2022
Revised manuscript accepted for GMD (discussion: closed, 6 comments)
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05 Apr 2022
Towards variance-conserving reconstructions of climate indices with Gaussian Process Regression in an embedding space
Marlene Klockmann, Udo von Toussaint, and Eduardo Zorita
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-32,https://doi.org/10.5194/gmd-2022-32, 2022
Preprint under review for GMD (discussion: final response, 3 comments)
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08 Mar 2022
Temperature forecasting by deep learning methods
Bing Gong, Michael Langguth, Yan Ji, Amirpasha Mozaffari, Scarlet Stadtler, Karim Mache, and Martin G. Schultz
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-430,https://doi.org/10.5194/gmd-2021-430, 2022
Revised manuscript accepted for GMD (discussion: closed, 7 comments)
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02 Mar 2022
WaterBench: A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting
Ibrahim Demir, Zhongrun Xiang, Bekir Demiray, and Muhammed Sit
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-52,https://doi.org/10.5194/essd-2022-52, 2022
Revised manuscript under review for ESSD (discussion: final response, 10 comments)
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03 Jun 2022
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, Julia Kowalski, and Scarlet Stadtler
Geosci. Model Dev., 15, 4331–4354, https://doi.org/10.5194/gmd-15-4331-2022,https://doi.org/10.5194/gmd-15-4331-2022, 2022
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10 Dec 2021
Simulation Model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RND v1.0
Junsu Gil, Meehye Lee, Jeonghwan Kim, Gangwoong Lee, and Joonyoung Ahn
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-347,https://doi.org/10.5194/gmd-2021-347, 2021
Preprint under review for GMD (discussion: final response, 4 comments)
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13 Oct 2021
A machine learning approach to address air quality changes during the COVID-19 lockdown in Buenos Aires, Argentina
Melisa Diaz Resquin, Pablo Lichtig, Diego Alessandrello, Marcelo De Oto, Darío Gómez, Cristina Rössler, Paula Castesana, and Laura Dawidowski
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-318,https://doi.org/10.5194/essd-2021-318, 2021
Preprint under review for ESSD (discussion: final response, 4 comments)
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30 Mar 2022
TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning
Rohaifa Khaldi, Domingo Alcaraz-Segura, Emilio Guirado, Yassir Benhammou, Abdellatif El Afia, Francisco Herrera, and Siham Tabik
Earth Syst. Sci. Data, 14, 1377–1411, https://doi.org/10.5194/essd-14-1377-2022,https://doi.org/10.5194/essd-14-1377-2022, 2022
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27 Jan 2022
EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models – Part 2: Model application to different datasets
Julian F. Quinting, Christian M. Grams, Annika Oertel, and Moritz Pickl
Geosci. Model Dev., 15, 731–744, https://doi.org/10.5194/gmd-15-731-2022,https://doi.org/10.5194/gmd-15-731-2022, 2022
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27 Jan 2022
EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models – Part 1: Development of deep learning model
Julian F. Quinting and Christian M. Grams
Geosci. Model Dev., 15, 715–730, https://doi.org/10.5194/gmd-15-715-2022,https://doi.org/10.5194/gmd-15-715-2022, 2022
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20 Dec 2021
Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator
Duncan Watson-Parris, Andrew Williams, Lucia Deaconu, and Philip Stier
Geosci. Model Dev., 14, 7659–7672, https://doi.org/10.5194/gmd-14-7659-2021,https://doi.org/10.5194/gmd-14-7659-2021, 2021
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24 Jan 2022
An inventory of supraglacial lakes and channels across the West Antarctic Ice Sheet
Diarmuid Corr, Amber Leeson, Malcolm McMillan, Ce Zhang, and Thomas Barnes
Earth Syst. Sci. Data, 14, 209–228, https://doi.org/10.5194/essd-14-209-2022,https://doi.org/10.5194/essd-14-209-2022, 2022
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23 Feb 2022
Using neural network ensembles to separate ocean biogeochemical and physical drivers of phytoplankton biogeography in Earth system models
Christopher Holder, Anand Gnanadesikan, and Marie Aude-Pradal
Geosci. Model Dev., 15, 1595–1617, https://doi.org/10.5194/gmd-15-1595-2022,https://doi.org/10.5194/gmd-15-1595-2022, 2022
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24 Jun 2021
AQ-Bench: a benchmark dataset for machine learning on global air quality metrics
Clara Betancourt, Timo Stomberg, Ribana Roscher, Martin G. Schultz, and Scarlet Stadtler
Earth Syst. Sci. Data, 13, 3013–3033, https://doi.org/10.5194/essd-13-3013-2021,https://doi.org/10.5194/essd-13-3013-2021, 2021
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