Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-set
Recently, a new high-resolution daily downscaled data-set derived from 21 CMIP5 model simulations has been released by NASA, called ‘NASA Earth Exchange Global Daily Downscaled Projections’ (NEX-GDDP). In this study, the performance of this data-set in simulating precipitation extremes and long-term...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2017-11-01
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| Series: | Atmospheric and Oceanic Science Letters |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/16742834.2017.1367625 |
| _version_ | 1818670933693431808 |
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| author | Huo-Po Chen Jian-Qi Sun Hui-Xin Li |
| author_facet | Huo-Po Chen Jian-Qi Sun Hui-Xin Li |
| author_sort | Huo-Po Chen |
| collection | DOAJ |
| description | Recently, a new high-resolution daily downscaled data-set derived from 21 CMIP5 model simulations has been released by NASA, called ‘NASA Earth Exchange Global Daily Downscaled Projections’ (NEX-GDDP). In this study, the performance of this data-set in simulating precipitation extremes and long-term climate changes across China are evaluated and compared with CMIP5 GCMs. The results indicate that NEX-GDDP can successfully reproduce the spatial patterns of precipitation extremes over China, showing results that are much closer to observations than the GCMs, with increased Pearson correlation coefficients and decreased model relative error for most models. Furthermore, NEX-GDDP shows that precipitation extremes are projected to occur more frequently, with increased intensity, across China in the future. Especially at regional to local scales, more information for the projection of future changes in precipitation extremes can be obtained from this high-resolution data-set. Most importantly, the uncertainties of these projections at the regional scale present significant decreases compared with the GCMs, making the projections by NEX-GDDP much more reliable. Therefore, the authors believe that this high-resolution data-set will be popular and widely used in the future, particularly for climate change impact studies in areas where a finer scale is required. |
| first_indexed | 2024-12-17T07:15:59Z |
| format | Article |
| id | doaj.art-41745f256abb45099a7ba68f53a04251 |
| institution | Directory Open Access Journal |
| issn | 1674-2834 2376-6123 |
| language | English |
| last_indexed | 2024-12-17T07:15:59Z |
| publishDate | 2017-11-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Atmospheric and Oceanic Science Letters |
| spelling | doaj.art-41745f256abb45099a7ba68f53a042512022-12-21T21:58:54ZengKeAi Communications Co., Ltd.Atmospheric and Oceanic Science Letters1674-28342376-61232017-11-0110640341010.1080/16742834.2017.13676251367625Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-setHuo-Po Chen0Jian-Qi Sun1Hui-Xin Li2Chinese Academy of SciencesChinese Academy of SciencesChinese Academy of SciencesRecently, a new high-resolution daily downscaled data-set derived from 21 CMIP5 model simulations has been released by NASA, called ‘NASA Earth Exchange Global Daily Downscaled Projections’ (NEX-GDDP). In this study, the performance of this data-set in simulating precipitation extremes and long-term climate changes across China are evaluated and compared with CMIP5 GCMs. The results indicate that NEX-GDDP can successfully reproduce the spatial patterns of precipitation extremes over China, showing results that are much closer to observations than the GCMs, with increased Pearson correlation coefficients and decreased model relative error for most models. Furthermore, NEX-GDDP shows that precipitation extremes are projected to occur more frequently, with increased intensity, across China in the future. Especially at regional to local scales, more information for the projection of future changes in precipitation extremes can be obtained from this high-resolution data-set. Most importantly, the uncertainties of these projections at the regional scale present significant decreases compared with the GCMs, making the projections by NEX-GDDP much more reliable. Therefore, the authors believe that this high-resolution data-set will be popular and widely used in the future, particularly for climate change impact studies in areas where a finer scale is required.http://dx.doi.org/10.1080/16742834.2017.1367625Precipitation extremesprojectionCMIP5NEX-GDDP |
| spellingShingle | Huo-Po Chen Jian-Qi Sun Hui-Xin Li Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-set Atmospheric and Oceanic Science Letters Precipitation extremes projection CMIP5 NEX-GDDP |
| title | Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-set |
| title_full | Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-set |
| title_fullStr | Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-set |
| title_full_unstemmed | Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-set |
| title_short | Future changes in precipitation extremes over China using the NEX-GDDP high-resolution daily downscaled data-set |
| title_sort | future changes in precipitation extremes over china using the nex gddp high resolution daily downscaled data set |
| topic | Precipitation extremes projection CMIP5 NEX-GDDP |
| url | http://dx.doi.org/10.1080/16742834.2017.1367625 |
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