Comparison of GCM Precipitation Predictions with Their RMSEs and Pattern Correlation Coefficients
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoo, Chulsang | - |
dc.contributor.author | Cho, Eunsaem | - |
dc.date.accessioned | 2021-09-02T16:19:43Z | - |
dc.date.available | 2021-09-02T16:19:43Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-01 | - |
dc.identifier.issn | 2073-4441 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/78034 | - |
dc.description.abstract | This study evaluated 20 general circulation models (GCMs) of the Coupled Model Intercomparison Project, Phase 5 (CMIP5), which provide the prediction results for the period of 2006 to 2014, the period from which the observation data (the Global Precipitation Climatology Project (GPCP) data) are available. Both the GCM predictions of precipitation and the GPCP data were compared for three data structures-the global, zonal, and grid mean-with conventional statistics like the root mean square error (RMSE) and the pattern correlation coefficient of the cyclostationary empirical orthogonal functions (CSEOFs). As a result, it was possible to select a GCM which showed the best performance among the 20 GCMs considered in this study. Overall, the NorSM1-M model was found to be the most similar to the GPCP data. Additionally, the IPSL-CM5A-LR, BCC-CSM, and GFDL-CMS models were also found to be quite similar to the GPCP data. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | EOF ANALYSIS | - |
dc.subject | CLIMATE-CHANGE | - |
dc.subject | INTERNATIONAL-COOPERATION | - |
dc.subject | CYCLOSTATIONARY EOFS | - |
dc.subject | SUMMER MONSOON | - |
dc.subject | SOIL-MOISTURE | - |
dc.subject | TEMPERATURE | - |
dc.subject | VARIABILITY | - |
dc.subject | CMIP5 | - |
dc.subject | SIMULATIONS | - |
dc.title | Comparison of GCM Precipitation Predictions with Their RMSEs and Pattern Correlation Coefficients | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yoo, Chulsang | - |
dc.identifier.doi | 10.3390/w10010028 | - |
dc.identifier.scopusid | 2-s2.0-85039967971 | - |
dc.identifier.wosid | 000424397400027 | - |
dc.identifier.bibliographicCitation | WATER, v.10, no.1 | - |
dc.relation.isPartOf | WATER | - |
dc.citation.title | WATER | - |
dc.citation.volume | 10 | - |
dc.citation.number | 1 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Water Resources | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Water Resources | - |
dc.subject.keywordPlus | EOF ANALYSIS | - |
dc.subject.keywordPlus | CLIMATE-CHANGE | - |
dc.subject.keywordPlus | INTERNATIONAL-COOPERATION | - |
dc.subject.keywordPlus | CYCLOSTATIONARY EOFS | - |
dc.subject.keywordPlus | SUMMER MONSOON | - |
dc.subject.keywordPlus | SOIL-MOISTURE | - |
dc.subject.keywordPlus | TEMPERATURE | - |
dc.subject.keywordPlus | VARIABILITY | - |
dc.subject.keywordPlus | CMIP5 | - |
dc.subject.keywordPlus | SIMULATIONS | - |
dc.subject.keywordAuthor | performance evaluation | - |
dc.subject.keywordAuthor | GCM precipitation | - |
dc.subject.keywordAuthor | NRMSE | - |
dc.subject.keywordAuthor | pattern correlation | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.