DOI: 10.1002/2017MS001081
Scopus记录号: 2-s2.0-85034806908
论文题名: The Surface Energy Budget Computed at the Grid-Scale of a Climate Model Challenged by Station Data in West Africa
作者: Diallo F ; B ; , Hourdin F ; , Rio C ; , Traore A ; -K ; , Mellul L ; , Guichard F ; , Kergoat L
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 7 起始页码: 2710
结束页码: 2738
语种: 英语
英文关键词: Atmospheric thermodynamics
; Budget control
; Drought
; Interfacial energy
; Rain
; Solar radiation
; Systematic errors
; Climate modellinin-situ data
; Energy budgets
; General circulation model
; Large-scale dynamics
; Near surface air temperature
; Soil thermal inertia
; Surface energy budget
; West Africa
; Climate models
; aerosol
; air temperature
; albedo
; climate modeling
; cloud cover
; data set
; dry season
; energy budget
; flux measurement
; general circulation model
; intertropical convergence zone
; meteorology
; monsoon
; rainfall
; seasonality
; Sahel [Sub-Saharan Africa]
; West Africa
英文摘要: In most state-of-the-art climate models, systematic errors persist in the representation of the rainfall seasonality, near surface air temperature, and surface energy budget over West Africa, even during the dry season. Most biases are related to an incorrect latitudinal position of the monsoon structures. To disentangle the role of the large-scale dynamics from that of the physical processes in these biases, simulations are performed with the LMDZ general circulation model in which the horizontal winds are nudged toward reanalysis. Wind nudging greatly improves the position of the ITCZ as well as the representation of the components of the surface energy budget directly impacted by the water budget and hence facilitates a more systematic analysis of remaining biases associated with the physics in the model. The great potential of wind nudging to compare the energetics of the atmospheric column in climate models at grid cell scale with station observations, even for coarse grid models, is then shown. Despite the improved water advection and rainfall seasonality in the nudged simulations, errors consisting in a cold bias during the dry season over Sahel, an underestimated seasonal variation of surface albedo, and an overestimation of the solar incoming flux remain. The origin of these remaining biases is further investigated by conducting a series of dedicated sensitivity experiments. Results highlight the key role of the soil thermal inertia, the turbulent mixing efficiency, the surface albedo, and the aerosols and clouds radiative effects in the representation of meteorological 2m-variables and surface energy budget. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75699
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Laboratoire de Météorologie Dynamique/IPSL/UPMC Université Paris 06/Sorbone Universités/CNRS, Paris, France; CNRM (UMR 3589 CNRS and Météo-France), Toulouse, France; Geosciences Environnement Toulouse (CNRS/IRD/CNES/Université de Toulouse), Toulouse, France
Recommended Citation:
Diallo F,B,, Hourdin F,et al. The Surface Energy Budget Computed at the Grid-Scale of a Climate Model Challenged by Station Data in West Africa[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(7)