Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica

Mean annual cycles of runoff, evapotranspiration, leaf area index (LAI) and potential vegetation were modelled for Mesoamerica using the SVAT model MAPSS with different climatology datasets. We calibrated and validated the model after building a comprehensive database of regional runoff, climat...

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Autores principales:	Imbach, Pablo A., Locatelli, Bruno, Roupsard, Olivier, Clais, P., Corrales, L., Mhe, G.
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	2015
Materias:	CLIMATOLOGIA MODELIZACION DEL MEDIO AMBIENTE EVAPOTRANSPIRACION ESCORRENTIA CURSOS DE AGUA INDICE DE VEGETACION PRECIPITACION ATMOSFERICA DATOS CLIMATOLOGICOS ANALISIS DE DATOS MODELOS CONSERVACION DE AGUAS ENERGIA HIDROELECTRICA PLANIFICACION AMERICA CENTRAL
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/8086

id	RepoCATIE8086
record_format	dspace
spelling	RepoCATIE80862021-12-22T19:22:57Z Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica Imbach, Pablo A. Locatelli, Bruno Roupsard, Olivier Clais, P. Corrales, L. Mhe, G. CLIMATOLOGIA MODELIZACION DEL MEDIO AMBIENTE EVAPOTRANSPIRACION ESCORRENTIA CURSOS DE AGUA INDICE DE VEGETACION PRECIPITACION ATMOSFERICA DATOS CLIMATOLOGICOS ANALISIS DE DATOS MODELOS CONSERVACION DE AGUAS ENERGIA HIDROELECTRICA PLANIFICACION AMERICA CENTRAL Mean annual cycles of runoff, evapotranspiration, leaf area index (LAI) and potential vegetation were modelled for Mesoamerica using the SVAT model MAPSS with different climatology datasets. We calibrated and validated the model after building a comprehensive database of regional runoff, climate, soils and LAI. The performance of several gridded precipitation climatology datasets (CRU, FCLIM, WorldClim, TRMM, WindPPT and TCMF) was evaluated and FCLIM produced the most realistic runoff. Annual runoff was successfully predicted (R2=0.84) for a set of 138 catchments, with a low runoff bias (12%) that might originate from an underestimation of the precipitation over cloud forests. The residuals were larger in small catchments but remained homogeneous across elevation, precipitation, and land-use gradients. Assuming a uniform distribution of parameters around literature values, and using a Monte Carlo-type approach, we estimated an average model uncertainty of 42% of the annual runoff. The MAPSS model was most sensitive to the parameterization of stomatal conductance. Monthly runoff seasonality was mimicked "fairly" in 78% of the catchments. Predicted LAI was consistent with MODIS collection 5 and GLOBCARBON remotely sensed global products. The simulated evapotranspiration:runoff ratio increased exponentially for low precipitation areas, highlighting the importance of accurately modelling evapotranspiration below 1500mm of annual rainfall with the help of SVAT models such as MAPSS. We propose the first high-resolution (1 km2 pixel) maps combining average long-term runoff, evapotranspiration, leaf area index and potential vegetation types for Mesoamerica. 2015-11-23T15:04:19Z 2015-11-23T15:04:19Z 2010 Artículo https://repositorio.catie.ac.cr/handle/11554/8086 en Programa de Cambio Climático y Cuencas (PCCC) pdf application/pdf
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
topic	CLIMATOLOGIA MODELIZACION DEL MEDIO AMBIENTE EVAPOTRANSPIRACION ESCORRENTIA CURSOS DE AGUA INDICE DE VEGETACION PRECIPITACION ATMOSFERICA DATOS CLIMATOLOGICOS ANALISIS DE DATOS MODELOS CONSERVACION DE AGUAS ENERGIA HIDROELECTRICA PLANIFICACION AMERICA CENTRAL
spellingShingle	CLIMATOLOGIA MODELIZACION DEL MEDIO AMBIENTE EVAPOTRANSPIRACION ESCORRENTIA CURSOS DE AGUA INDICE DE VEGETACION PRECIPITACION ATMOSFERICA DATOS CLIMATOLOGICOS ANALISIS DE DATOS MODELOS CONSERVACION DE AGUAS ENERGIA HIDROELECTRICA PLANIFICACION AMERICA CENTRAL Imbach, Pablo A. Locatelli, Bruno Roupsard, Olivier Clais, P. Corrales, L. Mhe, G. Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica
description	Mean annual cycles of runoff, evapotranspiration, leaf area index (LAI) and potential vegetation were modelled for Mesoamerica using the SVAT model MAPSS with different climatology datasets. We calibrated and validated the model after building a comprehensive database of regional runoff, climate, soils and LAI. The performance of several gridded precipitation climatology datasets (CRU, FCLIM, WorldClim, TRMM, WindPPT and TCMF) was evaluated and FCLIM produced the most realistic runoff. Annual runoff was successfully predicted (R2=0.84) for a set of 138 catchments, with a low runoff bias (12%) that might originate from an underestimation of the precipitation over cloud forests. The residuals were larger in small catchments but remained homogeneous across elevation, precipitation, and land-use gradients. Assuming a uniform distribution of parameters around literature values, and using a Monte Carlo-type approach, we estimated an average model uncertainty of 42% of the annual runoff. The MAPSS model was most sensitive to the parameterization of stomatal conductance. Monthly runoff seasonality was mimicked "fairly" in 78% of the catchments. Predicted LAI was consistent with MODIS collection 5 and GLOBCARBON remotely sensed global products. The simulated evapotranspiration:runoff ratio increased exponentially for low precipitation areas, highlighting the importance of accurately modelling evapotranspiration below 1500mm of annual rainfall with the help of SVAT models such as MAPSS. We propose the first high-resolution (1 km2 pixel) maps combining average long-term runoff, evapotranspiration, leaf area index and potential vegetation types for Mesoamerica.
format	Artículo
author	Imbach, Pablo A. Locatelli, Bruno Roupsard, Olivier Clais, P. Corrales, L. Mhe, G.
author_facet	Imbach, Pablo A. Locatelli, Bruno Roupsard, Olivier Clais, P. Corrales, L. Mhe, G.
author_sort	Imbach, Pablo A.
title	Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica
title_short	Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica
title_full	Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica
title_fullStr	Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica
title_full_unstemmed	Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica
title_sort	climatology-based regional modelling of potential vegetation and average annual long-term runoff for mesoamerica
publishDate	2015
url	https://repositorio.catie.ac.cr/handle/11554/8086
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_version_	1808117418354016256

Climatology-based regional modelling of potential vegetation and average annual long-term runoff for Mesoamerica

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