An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System

The aim of this study is to identify regions of strong land surface -atmosphere coupling for the austral summer over South America. To accomplish this, a statistical methodology is applied to estimate the interactions of soil moisture with evapotranspiration and precipitation derived from the Global...

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Detalles Bibliográficos
Autores principales: Spennemann, P.C., Saulo, A.C.
Formato: JOUR
Materias:
GLDAS
Land surface-atmosphere interactions
Precipitation
Soil moisture
South America
Atmospheric pressure
Climatology
Feedback
Moisture
Precipitation (chemical)
Soils
Surface measurement
First-order approximations
Land data assimilation systems
Land surface
South atlantic convergence zones
Southeastern South America
Statistical methodologies
atmospheric dynamics
coupling
data assimilation
El Nino-Southern Oscillation
estimation method
land surface
precipitation assessment
soil moisture
weather forecasting
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_08998418_v35_n14_p4151_Spennemann
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_08998418_v35_n14_p4151_Spennemann
record_format dspace
spelling todo:paper_08998418_v35_n14_p4151_Spennemann2023-10-03T15:44:23Z An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System Spennemann, P.C. Saulo, A.C. GLDAS Land surface-atmosphere interactions Precipitation Soil moisture South America Atmospheric pressure Climatology Feedback Moisture Precipitation (chemical) Soils Surface measurement First-order approximations GLDAS Land data assimilation systems Land surface South America South atlantic convergence zones Southeastern South America Statistical methodologies Soil moisture atmospheric dynamics coupling data assimilation El Nino-Southern Oscillation estimation method land surface precipitation assessment soil moisture weather forecasting South America The aim of this study is to identify regions of strong land surface -atmosphere coupling for the austral summer over South America. To accomplish this, a statistical methodology is applied to estimate the interactions of soil moisture with evapotranspiration and precipitation derived from the Global Land Data Assimilation System (GLDAS) dataset. Possible impacts of El Niño Southern Oscillation (ENSO) on the coupling strength are also examined. Particular emphasis is set over two sub-regions of interest: Southeastern South America (SESA) and the continental part of the South Atlantic Convergence Zone (SACZ). Positive and significant soil moisture-precipitation feedbacks are found over parts of SACZ and in the southern part of South America. Instead, significant negative feedback is found over SESA. The influence of ENSO over the soil moisture-precipitation coupling strength signal is evident over tropical regions. Plausible physical mechanisms involved in the land surface-atmosphere interactions, the influence of ENSO and that of precipitation persistence over extratropical regions on the results, are discussed. The implications of this analysis on monthly to seasonal forecast are also examined. Despite that this methodology cannot be used to establish a precise causal-effect relationship, this study gives a valuable first order approximation of land surface-atmosphere interactions over South America that complements pre-existing work. © 2015 Royal Meteorological Society. Fil:Spennemann, P.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Saulo, A.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08998418_v35_n14_p4151_Spennemann
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic GLDAS
Land surface-atmosphere interactions
Precipitation
Soil moisture
South America
Atmospheric pressure
Climatology
Feedback
Moisture
Precipitation (chemical)
Soils
Surface measurement
First-order approximations
GLDAS
Land data assimilation systems
Land surface
South America
South atlantic convergence zones
Southeastern South America
Statistical methodologies
Soil moisture
atmospheric dynamics
coupling
data assimilation
El Nino-Southern Oscillation
estimation method
land surface
precipitation assessment
soil moisture
weather forecasting
South America
spellingShingle GLDAS
Land surface-atmosphere interactions
Precipitation
Soil moisture
South America
Atmospheric pressure
Climatology
Feedback
Moisture
Precipitation (chemical)
Soils
Surface measurement
First-order approximations
GLDAS
Land data assimilation systems
Land surface
South America
South atlantic convergence zones
Southeastern South America
Statistical methodologies
Soil moisture
atmospheric dynamics
coupling
data assimilation
El Nino-Southern Oscillation
estimation method
land surface
precipitation assessment
soil moisture
weather forecasting
South America
Spennemann, P.C.
Saulo, A.C.
An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System
topic_facet GLDAS
Land surface-atmosphere interactions
Precipitation
Soil moisture
South America
Atmospheric pressure
Climatology
Feedback
Moisture
Precipitation (chemical)
Soils
Surface measurement
First-order approximations
GLDAS
Land data assimilation systems
Land surface
South America
South atlantic convergence zones
Southeastern South America
Statistical methodologies
Soil moisture
atmospheric dynamics
coupling
data assimilation
El Nino-Southern Oscillation
estimation method
land surface
precipitation assessment
soil moisture
weather forecasting
South America
description The aim of this study is to identify regions of strong land surface -atmosphere coupling for the austral summer over South America. To accomplish this, a statistical methodology is applied to estimate the interactions of soil moisture with evapotranspiration and precipitation derived from the Global Land Data Assimilation System (GLDAS) dataset. Possible impacts of El Niño Southern Oscillation (ENSO) on the coupling strength are also examined. Particular emphasis is set over two sub-regions of interest: Southeastern South America (SESA) and the continental part of the South Atlantic Convergence Zone (SACZ). Positive and significant soil moisture-precipitation feedbacks are found over parts of SACZ and in the southern part of South America. Instead, significant negative feedback is found over SESA. The influence of ENSO over the soil moisture-precipitation coupling strength signal is evident over tropical regions. Plausible physical mechanisms involved in the land surface-atmosphere interactions, the influence of ENSO and that of precipitation persistence over extratropical regions on the results, are discussed. The implications of this analysis on monthly to seasonal forecast are also examined. Despite that this methodology cannot be used to establish a precise causal-effect relationship, this study gives a valuable first order approximation of land surface-atmosphere interactions over South America that complements pre-existing work. © 2015 Royal Meteorological Society.
format JOUR
author Spennemann, P.C.
Saulo, A.C.
author_facet Spennemann, P.C.
Saulo, A.C.
author_sort Spennemann, P.C.
title An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System
title_short An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System
title_full An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System
title_fullStr An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System
title_full_unstemmed An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System
title_sort estimation of the land-atmosphere coupling strength in south america using the global land data assimilation system
url http://hdl.handle.net/20.500.12110/paper_08998418_v35_n14_p4151_Spennemann
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AT sauloac anestimationofthelandatmospherecouplingstrengthinsouthamericausingthegloballanddataassimilationsystem
AT spennemannpc estimationofthelandatmospherecouplingstrengthinsouthamericausingthegloballanddataassimilationsystem
AT sauloac estimationofthelandatmospherecouplingstrengthinsouthamericausingthegloballanddataassimilationsystem
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