ENSO impact on simulated South American hydro-climatology
International audience The variability of the simulated hydro-climatology of the WaterGAP Global Hydrology Model (WGHM) is analysed. Main object of this study is the ENSO-driven variability of the water storage of South America. The horizontal model resolution amounts to 0.5 degree and it is forced...
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ftinsu:oai:HAL:hal-00296944v1 2024-04-14T08:19:16+00:00 ENSO impact on simulated South American hydro-climatology Stuck, J. Güntner, A. Merz, B. German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ) 2006-02-20 https://hal.science/hal-00296944 https://hal.science/hal-00296944/document https://hal.science/hal-00296944/file/adgeo-6-227-2006.pdf en eng HAL CCSD European Geosciences Union hal-00296944 https://hal.science/hal-00296944 https://hal.science/hal-00296944/document https://hal.science/hal-00296944/file/adgeo-6-227-2006.pdf info:eu-repo/semantics/OpenAccess ISSN: 1680-7340 EISSN: 1680-7359 Advances in Geosciences https://hal.science/hal-00296944 Advances in Geosciences, 2006, 6, pp.227-236 [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/article Journal articles 2006 ftinsu 2024-03-21T17:19:24Z International audience The variability of the simulated hydro-climatology of the WaterGAP Global Hydrology Model (WGHM) is analysed. Main object of this study is the ENSO-driven variability of the water storage of South America. The horizontal model resolution amounts to 0.5 degree and it is forced with monthly climate variables for 1961-1995 of the Tyndall Centre Climate Research Unit dataset (CRU TS 2.0) as a representation of the observed climate state. Secondly, the model is also forced by the model output of a global circulation model, the ECHAM4-T42 GCM. This model itself is driven by observed monthly means of the global Sea Surface Temperatures (SST) and the sea ice coverage for the period of 1903 to 1994 (GISST). Thus, the climate model and the hydrological model represent a realistic simulated realisation of the hydro-climatologic state of the last century. Since four simulations of the ECHAM4 model with the same forcing, but with different initial conditions are carried out, an analysis of variance (ANOVA) gives an impression of the impact of the varying SST on the hydro-climatology, because the variance can be separated into a SST-explained and a model internal variability (noise). Also regional multivariate analyses, like Empirical Orthogonal Functions (EOF) and Canonical Correlation Analysis (CCA) provide information of the complex time-space variability. In particular the Amazon region and the South of Brazil are significantly influenced by the ENSO-variability, but also the Pacific coastal areas of Ecuador and Peru are affected. Additionally, different ENSO-indices, based on SST anomalies (e.g. NINO3.4, NINO1+2), and its influence on the South American hydro-climatology are analysed. Especially, the Pacific coast regions of Ecuador, Peru and Chile show a very different behaviour dependant on those indices. Article in Journal/Newspaper Sea ice Institut national des sciences de l'Univers: HAL-INSU Pacific |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
spellingShingle |
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences Stuck, J. Güntner, A. Merz, B. ENSO impact on simulated South American hydro-climatology |
topic_facet |
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences |
description |
International audience The variability of the simulated hydro-climatology of the WaterGAP Global Hydrology Model (WGHM) is analysed. Main object of this study is the ENSO-driven variability of the water storage of South America. The horizontal model resolution amounts to 0.5 degree and it is forced with monthly climate variables for 1961-1995 of the Tyndall Centre Climate Research Unit dataset (CRU TS 2.0) as a representation of the observed climate state. Secondly, the model is also forced by the model output of a global circulation model, the ECHAM4-T42 GCM. This model itself is driven by observed monthly means of the global Sea Surface Temperatures (SST) and the sea ice coverage for the period of 1903 to 1994 (GISST). Thus, the climate model and the hydrological model represent a realistic simulated realisation of the hydro-climatologic state of the last century. Since four simulations of the ECHAM4 model with the same forcing, but with different initial conditions are carried out, an analysis of variance (ANOVA) gives an impression of the impact of the varying SST on the hydro-climatology, because the variance can be separated into a SST-explained and a model internal variability (noise). Also regional multivariate analyses, like Empirical Orthogonal Functions (EOF) and Canonical Correlation Analysis (CCA) provide information of the complex time-space variability. In particular the Amazon region and the South of Brazil are significantly influenced by the ENSO-variability, but also the Pacific coastal areas of Ecuador and Peru are affected. Additionally, different ENSO-indices, based on SST anomalies (e.g. NINO3.4, NINO1+2), and its influence on the South American hydro-climatology are analysed. Especially, the Pacific coast regions of Ecuador, Peru and Chile show a very different behaviour dependant on those indices. |
author2 |
German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ) |
format |
Article in Journal/Newspaper |
author |
Stuck, J. Güntner, A. Merz, B. |
author_facet |
Stuck, J. Güntner, A. Merz, B. |
author_sort |
Stuck, J. |
title |
ENSO impact on simulated South American hydro-climatology |
title_short |
ENSO impact on simulated South American hydro-climatology |
title_full |
ENSO impact on simulated South American hydro-climatology |
title_fullStr |
ENSO impact on simulated South American hydro-climatology |
title_full_unstemmed |
ENSO impact on simulated South American hydro-climatology |
title_sort |
enso impact on simulated south american hydro-climatology |
publisher |
HAL CCSD |
publishDate |
2006 |
url |
https://hal.science/hal-00296944 https://hal.science/hal-00296944/document https://hal.science/hal-00296944/file/adgeo-6-227-2006.pdf |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
ISSN: 1680-7340 EISSN: 1680-7359 Advances in Geosciences https://hal.science/hal-00296944 Advances in Geosciences, 2006, 6, pp.227-236 |
op_relation |
hal-00296944 https://hal.science/hal-00296944 https://hal.science/hal-00296944/document https://hal.science/hal-00296944/file/adgeo-6-227-2006.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1796318921997942784 |