The pantropical response of soil moisture to El Niño
2020
Solander, Kurt, C | Newman, Brent, D | Carioca de Araujo, Alessandro | Barnard, Holly, R | Berry, Z. Carter | Bonal, Damien | Bretfeld, Mario | Burban, Benoît | Antonio Candido, Luiz | Célleri, Rolando | Chambers, Jeffery Q. | Christoffersen, Bradley O. | Detto, Matteo | Dorigo, Wouter A. | E. Ewers, Brent | Filgueiras Ferreira, Savio José | Knohl, Alexander | Leung, L. Ruby | Mcdowell, Nate G. | Miller, Gretchen, R. | Ferreira Monteiro, Maria Terezinha | Moore, Georgianne W. | Negron-Juarez, Robinson | Saleska, Scott R. | Stiegler, Christian | Tomasella, Javier | Xu, Chonggang | Los Alamos National Laboratory (LANL) | Brazilian Agricultural Research Corporation = Empresa Brasileira de Pesquisa Agropecuária (Embrapa) | University of Colorado [Boulder] | Chapman University | SILVA (SILVA) ; AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Kennesaw State University (KSU) | Ecologie des forêts de Guyane (UMR ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Instituto Nacional de Pesquisas da Amazônia = National Institute of Amazonian Research (INPA) | Universidad de Cuenca (UCUENCA) | Lawrence Berkeley National Laboratory [Berkeley] (LBNL) | University of Texas Rio Grande Valley [Brownsville, TX] (UTRGV) | Princeton University | Vienna University of Technology = Technische Universität Wien (TU Wien) | University of Wyoming (UW) | Georg-August-University of Göttingen = Georg-August-Universität Göttingen | Pacific Northwest National Laboratory (PNNL) | Texas A&M University [College Station] | National Institute for Amazonian Research | University of Arizona | National Centre for Monitoring and Early Warning of Natural Disasters
International audience
显示更多 [+] 显示较少 [-]英语. The 2015-2016 El Nino event ranks as one of the most severe on record in terms of the magnitude and extent of sea surface temperature (SST) anomalies generated in the tropical Pacific Ocean. Corresponding global impacts on the climate were expected to rival, or even surpass, those of the 1997-1998 severe El Nino event, which had SST anomalies that were similar in size. However, the 2015-2016 event failed to meet expectations for hydrologic change in many areas, including those expected to receive well above normal precipitation. To better understand how climate anomalies during an El Nino event impact soil moisture, we investigate changes in soil moisture in the humid tropics (between +/- 25 degrees) during the three most recent super El Nino events of 1982-1983,1997-1998 and 2015-2016, using data from the Global Land Data Assimilation System (GLDAS). First, we use in situ soil moisture observations obtained from 16 sites across five continents to validate and bias-correct estimates from GLDAS (r(2) = 0.54). Next, we apply a k-means cluster analysis to the soil moisture estimates during the El Nino mature phase, resulting in four groups of clustered data. The strongest and most consistent decreases in soil moisture occur in the Amazon basin and maritime southeastern Asia, while the most consistent increases occur over eastern Africa. In addition, we compare changes in soil moisture to both precipitation and evapotranspiration, which showed a lack of agreement in the direction of change between these variables and soil moisture most prominently in the southern Amazon basin, the Sahel and mainland southeastern Asia. Our results can be used to improve estimates of spatiotemporal differences in El Nino impacts on soil moisture in tropical hydrology and ecosystem models at multiple scales.
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