Hydrological links in Southeastern South America: Soil moisture memory and coupling within a hot spot

Southeastern South America has been identified as a hot spot of soil moisture and evapotranspiration coupling efficiency during austral summer in a previous study. Here, hydrological processes such as coupling and memory of soil moisture, evapotranspiration and precipitation and the links between th...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Ruscica, R.C., Sörensson, A.A., Menéndez, C.G.
Formato: JOUR
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_08998418_v34_n14_p3641_Ruscica
Aporte de:
id todo:paper_08998418_v34_n14_p3641_Ruscica
record_format dspace
spelling todo:paper_08998418_v34_n14_p3641_Ruscica2023-10-03T15:44:21Z Hydrological links in Southeastern South America: Soil moisture memory and coupling within a hot spot Ruscica, R.C. Sörensson, A.A. Menéndez, C.G. Evapotranspiration La Plata Basin Precipitation Regional climate modelling Soil moisture memory Southeastern South America Efficiency Evapotranspiration Moisture Precipitation (chemical) Precipitation (meteorology) Rain Soils Coupling efficiency Hydrological process Initial conditions La Plata basin Moisture conditions Regional climate modelling Southeastern South America Statistical persistence Soil moisture Southeastern South America has been identified as a hot spot of soil moisture and evapotranspiration coupling efficiency during austral summer in a previous study. Here, hydrological processes such as coupling and memory of soil moisture, evapotranspiration and precipitation and the links between these variables are discussed on the daily time scale over this region. The correlations between surface variables, rainfall persistence and soil moisture memory are discussed over three subregions selected on basis of their coupling efficiency and mean daily intensity of precipitation. The relationship between surface climate and land cover is qualitatively assessed. The memory, or statistical persistence, is longer and has a more robust spatial pattern for the root zone than for the top soil moisture. Where the coupling efficiency between soil moisture and evapotranspiration is high, the evapotranspiration is regulated by soil moisture conditions independently on the intensity of precipitation, whereas in a region with low coupling efficiency and high intensity, the evapotranspiration is regulated by the atmosphere. The coupling efficiency is in general related to the memory of the root-zone layer, since the soil state is modified when the soil moisture and the atmosphere interact, resulting in an anticorrelation between these metrics. The persistence of rainfall is another factor that modulates the memory. Nevertheless, there are some areas around the La Plata River where both the coupling efficiency and the memory are relatively high, such as Uruguay and the northeast of Argentina, where an improvement of soil moisture initial conditions could improve predictability of surface variables on a monthly timescale. © 2014 Royal Meteorological Society. Fil:Ruscica, R.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Sörensson, A.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Menéndez, C.G. 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_v34_n14_p3641_Ruscica
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Evapotranspiration
La Plata Basin
Precipitation
Regional climate modelling
Soil moisture memory
Southeastern South America
Efficiency
Evapotranspiration
Moisture
Precipitation (chemical)
Precipitation (meteorology)
Rain
Soils
Coupling efficiency
Hydrological process
Initial conditions
La Plata basin
Moisture conditions
Regional climate modelling
Southeastern South America
Statistical persistence
Soil moisture
spellingShingle Evapotranspiration
La Plata Basin
Precipitation
Regional climate modelling
Soil moisture memory
Southeastern South America
Efficiency
Evapotranspiration
Moisture
Precipitation (chemical)
Precipitation (meteorology)
Rain
Soils
Coupling efficiency
Hydrological process
Initial conditions
La Plata basin
Moisture conditions
Regional climate modelling
Southeastern South America
Statistical persistence
Soil moisture
Ruscica, R.C.
Sörensson, A.A.
Menéndez, C.G.
Hydrological links in Southeastern South America: Soil moisture memory and coupling within a hot spot
topic_facet Evapotranspiration
La Plata Basin
Precipitation
Regional climate modelling
Soil moisture memory
Southeastern South America
Efficiency
Evapotranspiration
Moisture
Precipitation (chemical)
Precipitation (meteorology)
Rain
Soils
Coupling efficiency
Hydrological process
Initial conditions
La Plata basin
Moisture conditions
Regional climate modelling
Southeastern South America
Statistical persistence
Soil moisture
description Southeastern South America has been identified as a hot spot of soil moisture and evapotranspiration coupling efficiency during austral summer in a previous study. Here, hydrological processes such as coupling and memory of soil moisture, evapotranspiration and precipitation and the links between these variables are discussed on the daily time scale over this region. The correlations between surface variables, rainfall persistence and soil moisture memory are discussed over three subregions selected on basis of their coupling efficiency and mean daily intensity of precipitation. The relationship between surface climate and land cover is qualitatively assessed. The memory, or statistical persistence, is longer and has a more robust spatial pattern for the root zone than for the top soil moisture. Where the coupling efficiency between soil moisture and evapotranspiration is high, the evapotranspiration is regulated by soil moisture conditions independently on the intensity of precipitation, whereas in a region with low coupling efficiency and high intensity, the evapotranspiration is regulated by the atmosphere. The coupling efficiency is in general related to the memory of the root-zone layer, since the soil state is modified when the soil moisture and the atmosphere interact, resulting in an anticorrelation between these metrics. The persistence of rainfall is another factor that modulates the memory. Nevertheless, there are some areas around the La Plata River where both the coupling efficiency and the memory are relatively high, such as Uruguay and the northeast of Argentina, where an improvement of soil moisture initial conditions could improve predictability of surface variables on a monthly timescale. © 2014 Royal Meteorological Society.
format JOUR
author Ruscica, R.C.
Sörensson, A.A.
Menéndez, C.G.
author_facet Ruscica, R.C.
Sörensson, A.A.
Menéndez, C.G.
author_sort Ruscica, R.C.
title Hydrological links in Southeastern South America: Soil moisture memory and coupling within a hot spot
title_short Hydrological links in Southeastern South America: Soil moisture memory and coupling within a hot spot
title_full Hydrological links in Southeastern South America: Soil moisture memory and coupling within a hot spot
title_fullStr Hydrological links in Southeastern South America: Soil moisture memory and coupling within a hot spot
title_full_unstemmed Hydrological links in Southeastern South America: Soil moisture memory and coupling within a hot spot
title_sort hydrological links in southeastern south america: soil moisture memory and coupling within a hot spot
url http://hdl.handle.net/20.500.12110/paper_08998418_v34_n14_p3641_Ruscica
work_keys_str_mv AT ruscicarc hydrologicallinksinsoutheasternsouthamericasoilmoisturememoryandcouplingwithinahotspot
AT sorenssonaa hydrologicallinksinsoutheasternsouthamericasoilmoisturememoryandcouplingwithinahotspot
AT menendezcg hydrologicallinksinsoutheasternsouthamericasoilmoisturememoryandcouplingwithinahotspot
_version_ 1807317350519668736