Land-atmosphere interaction patterns in southeastern South America using satellite products and climate models

被引:28
|
作者
Spennemann, P. C. [1 ]
Salvia, M. [2 ]
Ruscica, R. C. [1 ]
Sorensson, A. A. [1 ]
Grings, F. [2 ]
Karszenbaum, H. [2 ]
机构
[1] UBA, CONICET, UMI IFAECI, Ctr Invest Mar & Atmosfera,CNRS, Buenos Aires, DF, Argentina
[2] UBA, CONICET, IAFE, Buenos Aires, DF, Argentina
基金
美国国家科学基金会;
关键词
Land-atmosphere interaction; Southeastern South America; Satellite products; Soil moisture; Land surface temperature; Climate modelling; SOIL-MOISTURE RETRIEVAL; ASSIMILATION; SENSITIVITY; STRENGTH;
D O I
10.1016/j.jag.2017.08.016
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In regions of strong Land-Atmosphere (L-A) interaction, soil moisture (SM) conditions can impact the atmosphere through modulating the land surface fluxes. The importance of the identification of L-A interaction regions lies in the potential improvement of the weather/seasonal forecast and the better understanding of the physical mechanisms involved. This study aims to compare the terrestrial segment of the L-A interaction from satellite products and climate models, motivated by previous modeling studies pointing out southeastern South America (SESA) as a L-A hotspot during austral summer. In addition, the L-A interaction under dry or wet anomalous conditions over SESA is analyzed. To identify L-A hotspots the AMSRE-LPRM SM and MODIS land surface temperature products; coupled climate models and uncoupled land surface models were used. SESA highlights as a strong L-A interaction hotspot when employing different metrics, temporal scales and independent datasets, showing consistency between models and satellite estimations. Both AMSRE-LPRM bands (X and C) are consistent showing a strong L-A interaction hotspot over the Pampas ecoregion. Intensification and a larger spatial extent of the L-A interaction for dry summers was observed in both satellite products and models compared to wet summers. These results, which were derived from measured physical variables, are encouraging and promising for future studies analyzing L-A interactions. L-A interaction analysis is proposed here as a meeting point between remote sensing and climate modelling communities of Argentina, within a region with the highest agricultural and livestock production of the continent, but with an important lack of in-situ SM observations.
引用
收藏
页码:96 / 103
页数:8
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