Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model
We summarize the recent progress in regional climate modeling in South America with the Rossby Centre regional atmospheric climate model (RCA3-E), with emphasis on soil moisture processes. A series of climatological integrations using a continental scale domain nested in reanalysis data were carried...
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2010
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| LEADER | 15451caa a22014177a 4500 | ||
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| 001 | PAPER-22973 | ||
| 003 | AR-BaUEN | ||
| 005 | 20230518205436.0 | ||
| 008 | 190411s2010 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-77149139145 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 030 | |a CLCHD | ||
| 100 | 1 | |a Sörensson, A.A. | |
| 245 | 1 | 0 | |a Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model |
| 260 | |c 2010 | ||
| 270 | 1 | 0 | |m Sörensson, A. A.; Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET/UBA, Pabellón 2, Piso 2, Ciudad Universitaria, 1428 Buenos Aires, Argentina; email: sorensson@cima.fcen.uba.ar |
| 506 | |2 openaire |e Política editorial | ||
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| 520 | 3 | |a We summarize the recent progress in regional climate modeling in South America with the Rossby Centre regional atmospheric climate model (RCA3-E), with emphasis on soil moisture processes. A series of climatological integrations using a continental scale domain nested in reanalysis data were carried out for the initial and mature stages of the South American Monsoon System (SAMS) of 1993-92 and were analyzed on seasonal and monthly timescales. The role of including a spatially varying soil depth, which extends to 8 m in tropical forest, was evaluated against the standard constant soil depth of the model of about 2 m, through two five member ensemble simulations. The influence of the soil depth was relatively weak, with both beneficial and detrimental effects on the simulation of the seasonal mean rainfall. Secondly, two ensembles that differ in their initial state of soil moisture were prepared to study the influence of anomalously dry and wet soil moisture initial conditions on the intraseasonal development of the SAMS. In these simulations the austral winter soil moisture initial condition has a strong influence on wet season rainfall over feed back upon the monsoon, not only over the Amazon region but in subtropical South America as well. Finally, we calculated the soil moisture-precipitation coupling strength through comparing a ten member ensemble forced by the same space-time series of soil moisture fields with an ensemble with interactive soil moisture. Coupling strength is defined as the degree to which the prescribed boundary conditions affect some atmospheric quantity in a climate model, in this context a quantification of the fraction of atmospheric variability that can be ascribed to soil moisture anomalies. La Plata Basin appears as a region where the precipitation is partly controlled by soil moisture, especially in November and January. The continental convective monsoon regions and subtropical South America appears as a region with relatively high coupling strength during the mature phase of monsoon development. © Springer Science + Business Media B.V. 2009. |l eng | |
| 536 | |a Detalles de la financiación: Centro de Investigación Médica Aplicada, Universidad de Navarra | ||
| 536 | |a Detalles de la financiación: Universidad Nacional del Centro de la Provincia de Buenos Aires | ||
| 536 | |a Detalles de la financiación: Sveriges Meteorologiska och Hydrologiska Institut | ||
| 536 | |a Detalles de la financiación: A. A. Sörensson (B) · C. G. Menéndez Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET/UBA, Pabellón 2, Piso 2, Ciudad Universitaria, 1428 Buenos Aires, Argentina e-mail: sorensson@cima.fcen.uba.ar | ||
| 536 | |a Detalles de la financiación: Acknowledgements CLARIS (www.claris-eu.org) and PIP/CONICET 5416 (Argentina) supported this work. A.A. Sörensson has a grant from Rossby Centre, Swedish Meteorological and Hydrological Institute (SMHI). This work was begun while A.A Sörensson visited SMHI in Norrköping, Sweden, invited by Rossby Centre and with financial support from SMHI and CLARIS. Simulations were carried out on Tornado at the National Supercomputer Center in Linköping, Sweden, and at the Centro de Investigaciones del Mar y la Atmósfera in Buenos Aires, Argentina. We acknowledge the Climatic Research Unit, University of East Anglia, UK for provision of the precipitation data and the European Center for Medium Range Weather Forecast (ECMWF) for providing the ERA-40 dataset to the CLARIS Project. Thanks to Alfredo L. Rolla, Ariel E. D’Onofrio and María Ines Ortiz de Zarate for technical support and to the two anonymous reviewers for their useful comments on the manuscript. | ||
| 593 | |a Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET/UBA, Pabellón 2, Piso 2, Ciudad Universitaria, 1428 Buenos Aires, Argentina | ||
| 593 | |a Rossby Centre, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden | ||
| 690 | 1 | 0 | |a AMAZON REGION |
| 690 | 1 | 0 | |a ATMOSPHERIC CLIMATE |
| 690 | 1 | 0 | |a ATMOSPHERIC VARIABILITY |
| 690 | 1 | 0 | |a AUSTRAL WINTER |
| 690 | 1 | 0 | |a CLIMATE MODEL |
| 690 | 1 | 0 | |a CONTINENTAL SCALE |
| 690 | 1 | 0 | |a COUPLING STRENGTHS |
| 690 | 1 | 0 | |a DETRIMENTAL EFFECTS |
| 690 | 1 | 0 | |a DRY AND WET |
| 690 | 1 | 0 | |a ENSEMBLE SIMULATION |
| 690 | 1 | 0 | |a INITIAL CONDITIONS |
| 690 | 1 | 0 | |a INITIAL STATE |
| 690 | 1 | 0 | |a LA PLATA BASIN |
| 690 | 1 | 0 | |a MONSOON SYSTEM |
| 690 | 1 | 0 | |a REANALYSIS |
| 690 | 1 | 0 | |a RECENT PROGRESS |
| 690 | 1 | 0 | |a REGIONAL CLIMATE MODELING |
| 690 | 1 | 0 | |a REGIONAL CLIMATE MODELS |
| 690 | 1 | 0 | |a SAMS |
| 690 | 1 | 0 | |a SEASONAL MEAN RAINFALL |
| 690 | 1 | 0 | |a SOIL DEPTH |
| 690 | 1 | 0 | |a TIME-SCALES |
| 690 | 1 | 0 | |a TROPICAL FOREST |
| 690 | 1 | 0 | |a WET SEASON |
| 690 | 1 | 0 | |a CLIMATE MODELS |
| 690 | 1 | 0 | |a GROUNDWATER |
| 690 | 1 | 0 | |a MOISTURE CONTROL |
| 690 | 1 | 0 | |a MOISTURE DETERMINATION |
| 690 | 1 | 0 | |a PERMITTIVITY |
| 690 | 1 | 0 | |a SOIL MOISTURE |
| 690 | 1 | 0 | |a TIME SERIES |
| 690 | 1 | 0 | |a TROPICS |
| 690 | 1 | 0 | |a GEOLOGIC MODELS |
| 690 | 1 | 0 | |a CLIMATE MODELING |
| 690 | 1 | 0 | |a CLIMATOLOGY |
| 690 | 1 | 0 | |a REGIONAL CLIMATE |
| 690 | 1 | 0 | |a SIMULATION |
| 690 | 1 | 0 | |a SOIL DEPTH |
| 690 | 1 | 0 | |a SOIL MOISTURE |
| 690 | 1 | 0 | |a TIMESCALE |
| 690 | 1 | 0 | |a TROPICAL FOREST |
| 651 | 4 | |a SOUTH AMERICA | |
| 651 | 4 | |a SOUTH AMERICA | |
| 700 | 1 | |a Menéndez, C.G. | |
| 700 | 1 | |a Samuelsson, P. | |
| 700 | 1 | |a Willén, U. | |
| 700 | 1 | |a Hansson, U. | |
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