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spelling paper:paper_01650009_v98_n3_p429_Sorensson2023-06-08T15:14:29Z Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model Amazon region Atmospheric climate Atmospheric variability Austral winter Climate model Continental scale Coupling strengths Detrimental effects Dry and wet Ensemble simulation Initial conditions Initial state La Plata basin Monsoon system Reanalysis Recent progress Regional climate modeling Regional climate models Sams Seasonal mean rainfall Soil depth South America Time-scales Tropical forest Wet season Climate models Groundwater Moisture control Moisture determination Permittivity Soil moisture Time series Tropics Geologic models climate modeling climatology regional climate simulation soil depth soil moisture timescale tropical forest South America 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. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650009_v98_n3_p429_Sorensson http://hdl.handle.net/20.500.12110/paper_01650009_v98_n3_p429_Sorensson
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Amazon region
Atmospheric climate
Atmospheric variability
Austral winter
Climate model
Continental scale
Coupling strengths
Detrimental effects
Dry and wet
Ensemble simulation
Initial conditions
Initial state
La Plata basin
Monsoon system
Reanalysis
Recent progress
Regional climate modeling
Regional climate models
Sams
Seasonal mean rainfall
Soil depth
South America
Time-scales
Tropical forest
Wet season
Climate models
Groundwater
Moisture control
Moisture determination
Permittivity
Soil moisture
Time series
Tropics
Geologic models
climate modeling
climatology
regional climate
simulation
soil depth
soil moisture
timescale
tropical forest
South America
spellingShingle Amazon region
Atmospheric climate
Atmospheric variability
Austral winter
Climate model
Continental scale
Coupling strengths
Detrimental effects
Dry and wet
Ensemble simulation
Initial conditions
Initial state
La Plata basin
Monsoon system
Reanalysis
Recent progress
Regional climate modeling
Regional climate models
Sams
Seasonal mean rainfall
Soil depth
South America
Time-scales
Tropical forest
Wet season
Climate models
Groundwater
Moisture control
Moisture determination
Permittivity
Soil moisture
Time series
Tropics
Geologic models
climate modeling
climatology
regional climate
simulation
soil depth
soil moisture
timescale
tropical forest
South America
Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model
topic_facet Amazon region
Atmospheric climate
Atmospheric variability
Austral winter
Climate model
Continental scale
Coupling strengths
Detrimental effects
Dry and wet
Ensemble simulation
Initial conditions
Initial state
La Plata basin
Monsoon system
Reanalysis
Recent progress
Regional climate modeling
Regional climate models
Sams
Seasonal mean rainfall
Soil depth
South America
Time-scales
Tropical forest
Wet season
Climate models
Groundwater
Moisture control
Moisture determination
Permittivity
Soil moisture
Time series
Tropics
Geologic models
climate modeling
climatology
regional climate
simulation
soil depth
soil moisture
timescale
tropical forest
South America
description 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.
title Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model
title_short Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model
title_full Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model
title_fullStr Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model
title_full_unstemmed Soil-precipitation feedbacks during the South American Monsoon as simulated by a regional climate model
title_sort soil-precipitation feedbacks during the south american monsoon as simulated by a regional climate model
publishDate 2010
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650009_v98_n3_p429_Sorensson
http://hdl.handle.net/20.500.12110/paper_01650009_v98_n3_p429_Sorensson
_version_ 1768542121134915584