Coupled data assimilation for numerical weather prediction at ECMWF

Autor: Patricia de Rosnay, Phil browne, Eric de Boisséson, David Fairbairn, Sébastien Garrigues, Christoph Herbert, Kenta Ochi, Dinand Schepers, Pete Weston, Hao Zuo

In this presentation we introduce coupled assimilation activities conducted in support of seamless Earth system approach developments for Numerical Weather Prediction and climate reanalysis at the European Centre for Medium-Range Weather Forecasts (E

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::09af84928bd0f46a161d01568f00af2a
https://doi.org/10.5194/egusphere-egu23-16806

Evaluation of the SPARSE Dual-Source Model for Predicting Water Stress and Evapotranspiration from Thermal Infrared Data over Multiple Crops and Climates

Autor: Emilie Delogu, Gilles Boulet, Albert Olioso, Sébastien Garrigues, Aurore Brut, Tiphaine Tallec, Jérôme Demarty, Kamel Soudani, Jean-Pierre Lagouarde

Publikováno v: Remote Sensing, Vol 10, Iss 11, p 1806 (2018)

Using surface temperature as a signature of the surface energy balance is a way to quantify the spatial distribution of evapotranspiration and water stress. In this work, we used the new dual-source model named Soil Plant Atmosphere and Remote Sensin

Externí odkaz: https://doaj.org/article/c1c584cf8a3a448ba29e3de57c4b6fa4

Implementation of sequential cropping into JULESvn5.2 land-surface model

Autor: Pete Falloon, Sébastien Garrigues, Camilla Mathison, A. Wiltshire, Karina Williams, Sophie Moulin, Chetan Deva, Andrew J. Challinor

Publikováno v: Geoscientific Model Development, Vol 14, Pp 437-471 (2021)
Geoscientific Model Development
Geoscientific Model Development, 2021, 14 (1), pp.437-471. ⟨10.5194/gmd-14-437-2021⟩

Land-surface models (LSMs) typically simulate a single crop per year in a field or location. However, actual cropping systems are characterized by a succession of distinct crop cycles that are sometimes interspersed with long periods of bare soil. Se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1de556186595ff699be8c9bb39e9bc95
https://gmd.copernicus.org/articles/14/437/2021/

Developing a sequential cropping capability in the JULESvn5.2 land–surface model

Autor: Andrew J. Challinor, Sébastien Garrigues, Andy Wiltshire, Chetan Deva, Pete Falloon, Camilla Mathison, Sophie Moulin, Karina Williams

Publikováno v: Geoscientific Model Development Discussions, 1-50. (2019)
Geoscientific Model Development Discussions
Geoscientific Model Development Discussions, Copernicus Publ, 2019, pp.1-50. ⟨10.5194/gmd-2019-85⟩

Sequential cropping (also known as multiple or double cropping) is a common feature, particularly for tropical regions, where the crop seasons are largely dictated by the main wet season such as the Asian summer monsoon (ASM). The ASM provides the wa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dbb0d4645998a1dd3e505976ead17f5
https://doi.org/10.5194/gmd-2019-85

Evaluation of the SPARSE Dual-Source Model for Predicting Water Stress and Evapotranspiration from Thermal Infrared Data over Multiple Crops and Climates

Autor: Jean-Pierre Lagouarde, Jérôme Demarty, Aurore Brut, Sébastien Garrigues, Albert Olioso, Gilles Boulet, Kamel Soudani, Tiphaine Tallec, Emilie Delogu

Publikováno v: Remote Sensing
Remote Sensing, MDPI, 2018, 10 (11), ⟨10.3390/rs10111806⟩
Remote Sensing 11 (10), . (2018)
Remote Sensing, Vol 10, Iss 11, p 1806 (2018)
Remote Sensing, 2018, 10 (11), ⟨10.3390/rs10111806⟩
Volume 10
Issue 11

Using surface temperature as a signature of the surface energy balance is a way to quantify the spatial distribution of evapotranspiration and water stress. In this work, we used the new dual-source model named Soil Plant Atmosphere and Remote Sensin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec14ab31057116bed3b183cf12b60584
https://hal.archives-ouvertes.fr/hal-01936634