Simulating the climate of South Pacific islands using a high resolution model

ABSTRACT Downscaled regional climate simulations for Fiji and Federated States of Micronesia ( FSM ) from Coupled Model Intercomparison Project 3 ( CMIP3 ) Global Coupled Models ( GCMs ) are carried out as part of the Pacific Climate Change Science Program ( PCCSP ) using the CSIRO stretched‐grid Co...

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Published in:International Journal of Climatology
Main Authors: Chattopadhyay, Mohar, Katzfey, Jack
Other Authors: PCCSP
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2014
Subjects:
Online Access:http://dx.doi.org/10.1002/joc.4046
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spelling crwiley:10.1002/joc.4046 2023-12-03T10:30:12+01:00 Simulating the climate of South Pacific islands using a high resolution model Chattopadhyay, Mohar Katzfey, Jack PCCSP 2014 http://dx.doi.org/10.1002/joc.4046 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.4046 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.4046 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 35, issue 6, page 1157-1171 ISSN 0899-8418 1097-0088 Atmospheric Science journal-article 2014 crwiley https://doi.org/10.1002/joc.4046 2023-11-09T13:58:55Z ABSTRACT Downscaled regional climate simulations for Fiji and Federated States of Micronesia ( FSM ) from Coupled Model Intercomparison Project 3 ( CMIP3 ) Global Coupled Models ( GCMs ) are carried out as part of the Pacific Climate Change Science Program ( PCCSP ) using the CSIRO stretched‐grid Conformal Cubic Atmospheric Model ( CCAM ) for the period 1980–2000. The model simulations are performed at 60 km and at 8 km horizontal resolutions. The higher resolution is chosen to partly resolve the detailed orography of the countries selected, providing insight into the spatial distribution of temperature and precipitation for an individual island that GCMs are unable to represent. The downscaling is carried out in two steps. First, CCAM simulations are run on a global 60 km grid using bias‐corrected sea surface temperatures ( SST ) and sea ice from six CMIP3 GCMs . Three of these 60 km simulations are then further downscaled to 8 km resolution over the two countries. The focus of this paper is validation of these high‐resolution simulations against gridded analyses, satellite rainfall climatologies and available station data for rainfall and temperature for the period 1980–2000. The results show that high resolution orography plays an important role in capturing the current climate. The validation demonstrates that the 8 km simulations are capable of realistically depicting the current climate when the topography influences the wind flow and rainfall (Fiji), performing better than both the GCMs and the 60 km downscaled simulations. However, the performance of the 8 km simulations is similar to the GCM and 60 km simulations when topographical features are not present ( FSM ). Article in Journal/Newspaper Sea ice Wiley Online Library (via Crossref) Pacific International Journal of Climatology 35 6 1157 1171
institution Open Polar
collection Wiley Online Library (via Crossref)
op_collection_id crwiley
language English
topic Atmospheric Science
spellingShingle Atmospheric Science
Chattopadhyay, Mohar
Katzfey, Jack
Simulating the climate of South Pacific islands using a high resolution model
topic_facet Atmospheric Science
description ABSTRACT Downscaled regional climate simulations for Fiji and Federated States of Micronesia ( FSM ) from Coupled Model Intercomparison Project 3 ( CMIP3 ) Global Coupled Models ( GCMs ) are carried out as part of the Pacific Climate Change Science Program ( PCCSP ) using the CSIRO stretched‐grid Conformal Cubic Atmospheric Model ( CCAM ) for the period 1980–2000. The model simulations are performed at 60 km and at 8 km horizontal resolutions. The higher resolution is chosen to partly resolve the detailed orography of the countries selected, providing insight into the spatial distribution of temperature and precipitation for an individual island that GCMs are unable to represent. The downscaling is carried out in two steps. First, CCAM simulations are run on a global 60 km grid using bias‐corrected sea surface temperatures ( SST ) and sea ice from six CMIP3 GCMs . Three of these 60 km simulations are then further downscaled to 8 km resolution over the two countries. The focus of this paper is validation of these high‐resolution simulations against gridded analyses, satellite rainfall climatologies and available station data for rainfall and temperature for the period 1980–2000. The results show that high resolution orography plays an important role in capturing the current climate. The validation demonstrates that the 8 km simulations are capable of realistically depicting the current climate when the topography influences the wind flow and rainfall (Fiji), performing better than both the GCMs and the 60 km downscaled simulations. However, the performance of the 8 km simulations is similar to the GCM and 60 km simulations when topographical features are not present ( FSM ).
author2 PCCSP
format Article in Journal/Newspaper
author Chattopadhyay, Mohar
Katzfey, Jack
author_facet Chattopadhyay, Mohar
Katzfey, Jack
author_sort Chattopadhyay, Mohar
title Simulating the climate of South Pacific islands using a high resolution model
title_short Simulating the climate of South Pacific islands using a high resolution model
title_full Simulating the climate of South Pacific islands using a high resolution model
title_fullStr Simulating the climate of South Pacific islands using a high resolution model
title_full_unstemmed Simulating the climate of South Pacific islands using a high resolution model
title_sort simulating the climate of south pacific islands using a high resolution model
publisher Wiley
publishDate 2014
url http://dx.doi.org/10.1002/joc.4046
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.4046
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.4046
geographic Pacific
geographic_facet Pacific
genre Sea ice
genre_facet Sea ice
op_source International Journal of Climatology
volume 35, issue 6, page 1157-1171
ISSN 0899-8418 1097-0088
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/joc.4046
container_title International Journal of Climatology
container_volume 35
container_issue 6
container_start_page 1157
op_container_end_page 1171
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