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...
Guardado en:
Autores principales: | , |
---|---|
Publicado: |
2015
|
Materias: | |
Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v35_n14_p4151_Spennemann http://hdl.handle.net/20.500.12110/paper_08998418_v35_n14_p4151_Spennemann |
Aporte de: |
id |
paper:paper_08998418_v35_n14_p4151_Spennemann |
---|---|
record_format |
dspace |
spelling |
paper:paper_08998418_v35_n14_p4151_Spennemann2023-06-08T15:49:45Z An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System Spennemann, Pablo Cristian Saulo, Andrea Celeste 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. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v35_n14_p4151_Spennemann 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, Pablo Cristian Saulo, Andrea Celeste 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. |
author |
Spennemann, Pablo Cristian Saulo, Andrea Celeste |
author_facet |
Spennemann, Pablo Cristian Saulo, Andrea Celeste |
author_sort |
Spennemann, Pablo Cristian |
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 |
publishDate |
2015 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v35_n14_p4151_Spennemann http://hdl.handle.net/20.500.12110/paper_08998418_v35_n14_p4151_Spennemann |
work_keys_str_mv |
AT spennemannpablocristian anestimationofthelandatmospherecouplingstrengthinsouthamericausingthegloballanddataassimilationsystem AT sauloandreaceleste anestimationofthelandatmospherecouplingstrengthinsouthamericausingthegloballanddataassimilationsystem AT spennemannpablocristian estimationofthelandatmospherecouplingstrengthinsouthamericausingthegloballanddataassimilationsystem AT sauloandreaceleste estimationofthelandatmospherecouplingstrengthinsouthamericausingthegloballanddataassimilationsystem |
_version_ |
1768545235486375936 |