Cargando…
Upgrading Land‐Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis
In this study, we show that limitations in the representation of land cover and vegetation seasonality in the European Centre for Medium‐Range Weather Forecasting (ECMWF) model are partially responsible for large biases (up to ∼10°C, either positive or negative depending on the region) on the simula...
Autores principales: | Nogueira, Miguel, Boussetta, Souhail, Balsamo, Gianpaolo, Albergel, Clément, Trigo, Isabel F., Johannsen, Frederico, Miralles, Diego G., Dutra, Emanuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286567/ https://www.ncbi.nlm.nih.gov/pubmed/35866004 http://dx.doi.org/10.1029/2020JD034163 |
Ejemplares similares
-
Rain Area Detection in South-Western Kenya by Using Multispectral Satellite Data from Meteosat Second Generation
por: Kingsley, Kumah K., et al.
Publicado: (2021) -
Regional thermal environment changes: Integration of satellite data and land use/land cover
por: Ren, Jiayi, et al.
Publicado: (2022) -
Using satellite data to monitor land-use land-cover change in North-eastern Latvia
por: Fonji, Simon Foteck, et al.
Publicado: (2014) -
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
por: Pastorello, Gilberto, et al.
Publicado: (2020) -
Spatio-Temporal Change of Land Use/Land Cover and Vegetation Using Multi-MODIS Satellite Data, Western Ethiopia
por: Seifu, Tesema Kebede, et al.
Publicado: (2023)