Articles | Volume 21, issue 10
https://doi.org/10.5194/hess-21-5201-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-5201-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Oct 2017
Research article |
| 17 Oct 2017
SMOS near-real-time soil moisture product: processor overview and first validation results
Nemesio J. Rodríguez-Fernández
CORRESPONDING AUTHOR
European Centre for Medium-Range Weather Forecasts, Shinfield Road, Reading, RG2 9AX, UK
CESBIO, Université de Toulouse, CNES, CNRS, IRD, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Joaquin Muñoz Sabater
European Centre for Medium-Range Weather Forecasts, Shinfield Road, Reading, RG2 9AX, UK
Philippe Richaume
CESBIO, Université de Toulouse, CNES, CNRS, IRD, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Patricia de Rosnay
European Centre for Medium-Range Weather Forecasts, Shinfield Road, Reading, RG2 9AX, UK
Yann H. Kerr
CESBIO, Université de Toulouse, CNES, CNRS, IRD, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Clement Albergel
European Centre for Medium-Range Weather Forecasts, Shinfield Road, Reading, RG2 9AX, UK
CNRM – UMR3589, Météo-France/CNRS, Toulouse, France
Matthias Drusch
European Space Agency, ESTEC, Noordwijk, the Netherlands
Susanne Mecklenburg
European Space Agency, ESRIN, Frascati, Italy
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Revised manuscript accepted for HESS
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Robin van der Schalie, Mendy van der Vliet, Clément Albergel, Wouter Dorigo, Piotr Wolski, and Richard de Jeu
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Anthony Mucia, Bertrand Bonan, Clément Albergel, Yongjun Zheng, and Jean-Christophe Calvet
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Zhu Deng, Philippe Ciais, Zitely A. Tzompa-Sosa, Marielle Saunois, Chunjing Qiu, Chang Tan, Taochun Sun, Piyu Ke, Yanan Cui, Katsumasa Tanaka, Xin Lin, Rona L. Thompson, Hanqin Tian, Yuanzhi Yao, Yuanyuan Huang, Ronny Lauerwald, Atul K. Jain, Xiaoming Xu, Ana Bastos, Stephen Sitch, Paul I. Palmer, Thomas Lauvaux, Alexandre d'Aspremont, Clément Giron, Antoine Benoit, Benjamin Poulter, Jinfeng Chang, Ana Maria Roxana Petrescu, Steven J. Davis, Zhu Liu, Giacomo Grassi, Clément Albergel, Francesco N. Tubiello, Lucia Perugini, Wouter Peters, and Frédéric Chevallier
Earth Syst. Sci. Data, 14, 1639–1675, https://doi.org/10.5194/essd-14-1639-2022, https://doi.org/10.5194/essd-14-1639-2022, 2022
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In support of the global stocktake of the Paris Agreement on climate change, we proposed a method for reconciling the results of global atmospheric inversions with data from UNFCCC national greenhouse gas inventories (NGHGIs). Here, based on a new global harmonized database that we compiled from the UNFCCC NGHGIs and a comprehensive framework presented in this study to process the results of inversions, we compared their results of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O).
Heye Reemt Bogena, Martin Schrön, Jannis Jakobi, Patrizia Ney, Steffen Zacharias, Mie Andreasen, Roland Baatz, David Boorman, Mustafa Berk Duygu, Miguel Angel Eguibar-Galán, Benjamin Fersch, Till Franke, Josie Geris, María González Sanchis, Yann Kerr, Tobias Korf, Zalalem Mengistu, Arnaud Mialon, Paolo Nasta, Jerzy Nitychoruk, Vassilios Pisinaras, Daniel Rasche, Rafael Rosolem, Hami Said, Paul Schattan, Marek Zreda, Stefan Achleitner, Eduardo Albentosa-Hernández, Zuhal Akyürek, Theresa Blume, Antonio del Campo, Davide Canone, Katya Dimitrova-Petrova, John G. Evans, Stefano Ferraris, Félix Frances, Davide Gisolo, Andreas Güntner, Frank Herrmann, Joost Iwema, Karsten H. Jensen, Harald Kunstmann, Antonio Lidón, Majken Caroline Looms, Sascha Oswald, Andreas Panagopoulos, Amol Patil, Daniel Power, Corinna Rebmann, Nunzio Romano, Lena Scheiffele, Sonia Seneviratne, Georg Weltin, and Harry Vereecken
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Short summary
The new SMOS satellite near-real-time (NRT) soil moisture (SM) product based on a neural network is presented. The NRT SM product has been evaluated with respect to the SMOS Level 2 product and against a large number of in situ measurements showing performances similar to those of the Level 2 product but it is available in less than 3.5 h after sensing. The new product is distributed by the European Space Agency and the European Organisation for the Exploitation of Meteorological Satellites.
The new SMOS satellite near-real-time (NRT) soil moisture (SM) product based on a neural network...
