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Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review

CITE Title : Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review Personal Author(s) : Balsamo, Gianpaolo;Agusti-Panareda, Anna;Albergel, Clement;Arduini, Gabriele;Beljaars, Anton;Bidlot, Jean;Blyth, Eleanor;Bousserez, Nicolas;Boussetta, Souhail;Brown, Andy;Buizza, Roberto;Buontempo, Carlo;Chevallier, Frédéric;Choulga, Margarita;Cloke, Hannah;Cronin, Meghan F.;Dahoui, Mohamed;De Rosnay, Patricia;Dirmeyer, Paul A.;Drusch, Matthias;Dutra, Emanuel;Ek, Michael B.;Gentine, Pierre;Hewitt, Helene;Keeley, Sarah P.E.;Kerr, Yann;Kumar, Sujay;Lupu, Cristina;Mahfouf, Jean-François;McNorton, Joe;Mecklenburg, Susanne;Mogensen, Kristian;Muñoz-Sabater, Joaquín;Orth, Rene;Rabier, Florence;Reichle, Rolf;Ruston, Ben;Pappenberger, Florian;Sandu, Irina;Seneviratne, Sonia I.;Tietsche, Steffen;Trigo, Isabel F.;Uijlenhoet, Remko;Wedi, Nils;Woolway, R. Iestyn;Zeng, Xubin; Published Date : 2018 Source : Remote Sensing, 10(12), 2038 DOI : https://doi.org/10.3390/rs10122038 Journal Title : Remote Sensing Balsamo, Gianpaolo et al. (2018). Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. 10(12). https://doi.org/10.3390/rs10122038 Balsamo, Gianpaolo et al. "Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review" 10, no. 12 (2018), https://doi.org/10.3390/rs10122038 Balsamo, Gianpaolo et al. "Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review" vol. 10, no. 12, 2018, https://doi.org/10.3390/rs10122038 Export RIS Citation Information.

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Balsamo, Gianpaolo

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Agusti-Panareda, Anna

2018 | Remote Sensing, 10(12), 2038

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In this paper, we review the use of satellite-based remote sensing in combination with in situ data to inform Earth surface modelling. This involves v...
An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space

CITE Title : An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space Personal Author(s) : Kumar, Sujay;Kolassa, Jana;Reichle, Rolf;Crow, Wade;de Lannoy, Gabrielle;de Rosnay, Patricia;MacBean, Natasha;Girotto, Manuela;Fox, Andy;Quaife, Tristan;Draper, Clara;Forman, Barton;Balsamo, Gianpaolo;Steele‐Dunne, Susan;Albergel, Clement;Bonan, Bertrand;Calvet, Jean‐Christophe;Dong, Jianzhi;Liddy, Hannah;Ruston, Benjamin; Published Date : 2022 Source : Journal of Advances in Modeling Earth Systems, 14(11) DOI : https://doi.org/10.1029/2022ms003259 Journal Title : Journal of Advances in Modeling Earth Systems Kumar, Sujay et al. (2022). An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space. 14(11). https://doi.org/10.1029/2022ms003259 Kumar, Sujay et al. "An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space" 14, no. 11 (2022), https://doi.org/10.1029/2022ms003259 Kumar, Sujay et al. "An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space" vol. 14, no. 11, 2022, https://doi.org/10.1029/2022ms003259 Export RIS Citation Information.

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Kumar, Sujay

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Kolassa, Jana

2022 | Journal of Advances in Modeling Earth Systems, 14(11)

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The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant ...
LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables

CITE Title : LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables Personal Author(s) : Albergel, Clement;Munier, Simon;Bocher, Aymeric;Bonan, Bertrand;Zheng, Yongjun;Draper, Clara;Leroux, Delphine;Calvet, Jean-Christophe; Published Date : 2018 Source : Remote Sensing, 10(10), 24. DOI : https://doi.org/10.3390/rs10101627 Journal Title : Remote Sensing Albergel, Clement et al. (2018). LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables. 10(10). https://doi.org/10.3390/rs10101627 Albergel, Clement et al. "LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables" 10, no. 10 (2018), https://doi.org/10.3390/rs10101627 Albergel, Clement et al. "LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables" vol. 10, no. 10, 2018, https://doi.org/10.3390/rs10101627 Export RIS Citation Information.

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Albergel, Clement ;

Munier, Simon

2018 | Remote Sensing, 10(10), 24.

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Land data assimilation system (LDAS)-Monde, an offline land data assimilation system with global capacity, is applied over the CONtiguous US (CONUS) d...