DOI: 10.1002/2017JD027346
Scopus记录号: 2-s2.0-85041195426
论文题名: Soil Moisture-Temperature Coupling in a Set of Land Surface Models
作者: Gevaert A.I. ; Miralles D.G. ; de Jeu R.A.M. ; Schellekens J. ; Dolman A.J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 3 起始页码: 1481
结束页码: 1498
语种: 英语
英文关键词: eartH2Observe
; land surface models
; land-atmosphere interactions
; soil moisture
; temperature
英文摘要: The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture-temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off-line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture-temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower-based results (r = 0.5–0.7), with the multimodel mean performing similarly to the best-performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics. ©2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114464
Appears in Collections: 气候减缓与适应
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作者单位: Department of Earth and Life Sciences, VU Amsterdam, Amsterdam, Netherlands; Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium; VanderSat B.V., Haarlem, Netherlands; Deltares, Delft, Netherlands
Recommended Citation:
Gevaert A.I.,Miralles D.G.,de Jeu R.A.M.,et al. Soil Moisture-Temperature Coupling in a Set of Land Surface Models[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(3)