Zobrazeno 1 - 10
of 227
pro vyhledávání: '"S Boussetta"'
Autor:
G. Abramowitz, A. Ukkola, S. Hobeichi, J. Cranko Page, M. Lipson, M. G. De Kauwe, S. Green, C. Brenner, J. Frame, G. Nearing, M. Clark, M. Best, P. Anthoni, G. Arduini, S. Boussetta, S. Caldararu, K. Cho, M. Cuntz, D. Fairbairn, C. R. Ferguson, H. Kim, Y. Kim, J. Knauer, D. Lawrence, X. Luo, S. Malyshev, T. Nitta, J. Ogee, K. Oleson, C. Ottlé, P. Peylin, P. de Rosnay, H. Rumbold, B. Su, N. Vuichard, A. P. Walker, X. Wang-Faivre, Y. Wang, Y. Zeng
Publikováno v:
Biogeosciences, Vol 21, Pp 5517-5538 (2024)
Accurate representation of the turbulent exchange of carbon, water, and heat between the land surface and the atmosphere is critical for modelling global energy, water, and carbon cycles in both future climate projections and weather forecasts. Evalu
Externí odkaz:
https://doaj.org/article/0e1f69fbe78f48a0a8a5c2dcdd806470
Deep learning for quality control of surface physiographic fields using satellite Earth observations
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 4661-4685 (2023)
A purposely built deep learning algorithm for the Verification of Earth System ParametERization (VESPER) is used to assess recent upgrades to the global physiographic datasets underpinning the quality of the Integrated Forecasting System (IFS) of the
Externí odkaz:
https://doaj.org/article/0622d3ff660c49aabfa0f4a9c15e4169
Autor:
G. Duveiller, M. Pickering, J. Muñoz-Sabater, L. Caporaso, S. Boussetta, G. Balsamo, A. Cescatti
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 7357-7373 (2023)
Atmospheric reanalyses combine observations and models through data assimilation techniques to provide spatio-temporally continuous fields of key surface variables. They can do so for extended historical periods whilst ensuring a coherent representat
Externí odkaz:
https://doaj.org/article/022bdbde09854eb49873a8e0cf13df1d
Autor:
F. van Oorschot, R. J. van der Ent, M. Hrachowitz, E. Di Carlo, F. Catalano, S. Boussetta, G. Balsamo, A. Alessandri
Publikováno v:
Earth System Dynamics, Vol 14, Pp 1239-1259 (2023)
Vegetation largely controls land surface–atmosphere interactions. Although vegetation is highly dynamic across spatial and temporal scales, most land surface models currently used for reanalyses and near-term climate predictions do not adequately r
Externí odkaz:
https://doaj.org/article/49001b62696040599d37c1ab290e6406
Autor:
A. Agustí-Panareda, J. Barré, S. Massart, A. Inness, I. Aben, M. Ades, B. C. Baier, G. Balsamo, T. Borsdorff, N. Bousserez, S. Boussetta, M. Buchwitz, L. Cantarello, C. Crevoisier, R. Engelen, H. Eskes, J. Flemming, S. Garrigues, O. Hasekamp, V. Huijnen, L. Jones, Z. Kipling, B. Langerock, J. McNorton, N. Meilhac, S. Noël, M. Parrington, V.-H. Peuch, M. Ramonet, M. Razinger, M. Reuter, R. Ribas, M. Suttie, C. Sweeney, J. Tarniewicz, L. Wu
Publikováno v:
Atmospheric Chemistry and Physics, Vol 23, Pp 3829-3859 (2023)
The Copernicus Atmosphere Monitoring Service (CAMS) has recently produced a greenhouse gas reanalysis (version egg4) that covers almost 2 decades from 2003 to 2020 and which will be extended in the future. This reanalysis dataset includes carbon diox
Externí odkaz:
https://doaj.org/article/0d5a463853cd4225867e43213dc8683e
Autor:
R. Döscher, M. Acosta, A. Alessandri, P. Anthoni, T. Arsouze, T. Bergman, R. Bernardello, S. Boussetta, L.-P. Caron, G. Carver, M. Castrillo, F. Catalano, I. Cvijanovic, P. Davini, E. Dekker, F. J. Doblas-Reyes, D. Docquier, P. Echevarria, U. Fladrich, R. Fuentes-Franco, M. Gröger, J. v. Hardenberg, J. Hieronymus, M. P. Karami, J.-P. Keskinen, T. Koenigk, R. Makkonen, F. Massonnet, M. Ménégoz, P. A. Miller, E. Moreno-Chamarro, L. Nieradzik, T. van Noije, P. Nolan, D. O'Donnell, P. Ollinaho, G. van den Oord, P. Ortega, O. T. Prims, A. Ramos, T. Reerink, C. Rousset, Y. Ruprich-Robert, P. Le Sager, T. Schmith, R. Schrödner, F. Serva, V. Sicardi, M. Sloth Madsen, B. Smith, T. Tian, E. Tourigny, P. Uotila, M. Vancoppenolle, S. Wang, D. Wårlind, U. Willén, K. Wyser, S. Yang, X. Yepes-Arbós, Q. Zhang
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 2973-3020 (2022)
The Earth system model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major model configurations, a methodology for ensuring the simulations are comparable across different high-performance computing (H
Externí odkaz:
https://doaj.org/article/6f81708b57174be6808e5a81593307a2
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 21, Pp 3645-3661 (2021)
The Tunisian coast has been affected in the past by many events of extreme marine submersion (storms and tsunamis). A high-resolution study along two sediment cores taken from the lagoon of Ghar El Meleh was performed to identify the different paleoe
Externí odkaz:
https://doaj.org/article/9ef4d0475f1242f4ae55421105316631
Autor:
J. Muñoz-Sabater, E. Dutra, A. Agustí-Panareda, C. Albergel, G. Arduini, G. Balsamo, S. Boussetta, M. Choulga, S. Harrigan, H. Hersbach, B. Martens, D. G. Miralles, M. Piles, N. J. Rodríguez-Fernández, E. Zsoter, C. Buontempo, J.-N. Thépaut
Publikováno v:
Earth System Science Data, Vol 13, Pp 4349-4383 (2021)
Framed within the Copernicus Climate Change Service (C3S) of the European Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is producing an enhanced global dataset for the land component of the fifth generation of European Re
Externí odkaz:
https://doaj.org/article/b44266a7a8df486bbbdc3c5067e60778
Autor:
M. Nogueira, C. Albergel, S. Boussetta, F. Johannsen, I. F. Trigo, S. L. Ermida, J. P. A. Martins, E. Dutra
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 3975-3993 (2020)
Earth observations were used to evaluate the representation of land surface temperature (LST) and vegetation coverage over Iberia in two state-of-the-art land surface models (LSMs) – the European Centre for Medium-Range Weather Forecasts (ECMWF) Ca
Externí odkaz:
https://doaj.org/article/fc351f511007426ebd586650f36cfa59
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 4051-4076 (2019)
Water bodies influence local weather and climate, especially in lake-rich areas. The FLake (Fresh-water Lake model) parameterisation is employed in the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECM
Externí odkaz:
https://doaj.org/article/aaa9d022ff0643fc9651e154a32e8bcd