Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations

This study is aimed to assess the added value of Regional Climate Models (RCMs) with respect to their driving Global Climate Models (GCMs) focused on the behavior of precipitation over South America (SA) at different temporal scales. RCMs from the CORDEX experiments available for the South American...

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Autores principales: Solman, S.A., Blázquez, J.
Formato: JOUR
Materias:
Added value
Precipitation
Regional climate modeling
South America
Temporal scale
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_09307575_v_n_p_Solman
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_09307575_v_n_p_Solman
record_format dspace
spelling todo:paper_09307575_v_n_p_Solman2023-10-03T15:48:09Z Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations Solman, S.A. Blázquez, J. Added value Precipitation Regional climate modeling South America Temporal scale This study is aimed to assess the added value of Regional Climate Models (RCMs) with respect to their driving Global Climate Models (GCMs) focused on the behavior of precipitation over South America (SA) at different temporal scales. RCMs from the CORDEX experiments available for the South American domain at 0.44° resolution were used together with their driving GCMs from the Coupled Models Intercomparison Project (CMIP5) dataset for the period 1979–2005. Observed data from the CPC-Global Unified Gauge-Based Analysis of Daily Precipitation was used to evaluate the simulations. Precipitation data were first filtered to retain the variability at the interannual, intraseasonal and synoptic timescales. Statistics of the daily precipitation data were also evaluated, including percentiles of light, moderate, heavy and extreme precipitation events. The added value was quantified in terms of two metrics accounting for the spatial distribution of the particular precipitation feature and the M-skill score, representing a measure of normalized square errors. Added value is strongly dependent on the RCM-GCM pair evaluated. RCMs with an overall good performance add value over their driving GCM for all metrics analyzed, from the climatological seasonal mean to the intensity of extreme events. The added value arises more clearly as long as the smaller the scale of the precipitation feature assessed is. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09307575_v_n_p_Solman
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Added value
Precipitation
Regional climate modeling
South America
Temporal scale
spellingShingle Added value
Precipitation
Regional climate modeling
South America
Temporal scale
Solman, S.A.
Blázquez, J.
Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations
topic_facet Added value
Precipitation
Regional climate modeling
South America
Temporal scale
description This study is aimed to assess the added value of Regional Climate Models (RCMs) with respect to their driving Global Climate Models (GCMs) focused on the behavior of precipitation over South America (SA) at different temporal scales. RCMs from the CORDEX experiments available for the South American domain at 0.44° resolution were used together with their driving GCMs from the Coupled Models Intercomparison Project (CMIP5) dataset for the period 1979–2005. Observed data from the CPC-Global Unified Gauge-Based Analysis of Daily Precipitation was used to evaluate the simulations. Precipitation data were first filtered to retain the variability at the interannual, intraseasonal and synoptic timescales. Statistics of the daily precipitation data were also evaluated, including percentiles of light, moderate, heavy and extreme precipitation events. The added value was quantified in terms of two metrics accounting for the spatial distribution of the particular precipitation feature and the M-skill score, representing a measure of normalized square errors. Added value is strongly dependent on the RCM-GCM pair evaluated. RCMs with an overall good performance add value over their driving GCM for all metrics analyzed, from the climatological seasonal mean to the intensity of extreme events. The added value arises more clearly as long as the smaller the scale of the precipitation feature assessed is. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
format JOUR
author Solman, S.A.
Blázquez, J.
author_facet Solman, S.A.
Blázquez, J.
author_sort Solman, S.A.
title Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations
title_short Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations
title_full Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations
title_fullStr Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations
title_full_unstemmed Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations
title_sort multiscale precipitation variability over south america: analysis of the added value of cordex rcm simulations
url http://hdl.handle.net/20.500.12110/paper_09307575_v_n_p_Solman
work_keys_str_mv AT solmansa multiscaleprecipitationvariabilityoversouthamericaanalysisoftheaddedvalueofcordexrcmsimulations
AT blazquezj multiscaleprecipitationvariabilityoversouthamericaanalysisoftheaddedvalueofcordexrcmsimulations
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