气候变化领域集成服务门户(CCPortal): Upgrading Land-Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis

CCPortal

DOI	10.1029/2020JD034163
	Upgrading Land-Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis
	Nogueira M.; Boussetta S.; Balsamo G.; Albergel C.; Trigo I.F.; Johannsen F.; Miralles D.G.; Dutra E.
发表日期	2021
ISSN	2169-897X
卷号	126 期号:15
英文摘要	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 simulated daily maximum land surface temperature (LST) with respect to satellite Earth Observations (EOs) products from the Land Surface Analysis Satellite Application Facility. The error patterns were coherent in offline land-surface and coupled land-atmosphere simulations, and in ECMWF's latest generation reanalysis (ERA5). Subsequently, we updated the ECMWF model's land cover characterization leveraging on state-of-the-art EOs—the European Space Agency Climate Change Initiative land cover data set and the Copernicus Global Land Services leaf area index. Additionally, we tested a clumping parameterization, introducing seasonality to the effective low vegetation coverage. The updates reduced the overall daily maximum LST bias and unbiased root-mean-squared errors. In contrast, the implemented updates had a neutral impact on daily minimum LST. Our results also highlighted the complex regional heterogeneities in the atmospheric sensitivity to land cover and vegetation changes, particularly with issues emerging over eastern Brazil and northeastern Asia. These issues called for a re-calibration of model parameters (e.g., minimum stomatal resistance, roughness length, rooting depth), along with a revision of several model assumptions (e.g., snow shading by high vegetation). © 2021. The Authors.
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/237097
作者单位	Instituto Dom Luiz, IDL, Faculty of Sciences, University of Lisbon, Lisbon, Portugal; ECMWF, Reading, United Kingdom; European Space Agency Climate Office, ECSAT, Didcot, United Kingdom; Instituto Português do Mar e da Atmosfera, Lisbon, Portugal; Hydro-Climate Extremes Lab (H-CEL)—Ghent University, Ghent, Belgium
推荐引用方式 GB/T 7714	Nogueira M.,Boussetta S.,Balsamo G.,et al. Upgrading Land-Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis[J],2021,126(15).
APA	Nogueira M..,Boussetta S..,Balsamo G..,Albergel C..,Trigo I.F..,...&Dutra E..(2021).Upgrading Land-Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis.Journal of Geophysical Research: Atmospheres,126(15).
MLA	Nogueira M.,et al."Upgrading Land-Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis".Journal of Geophysical Research: Atmospheres 126.15(2021).