Global S&T Development Trend Analysis Platform of Resources and Environment
| DOI | 10.1007/s00382-018-4553-0 |
| A comparison of CCSM4 high-resolution and low-resolution predictions for south Florida and southeast United States drought | |
| Infanti, Johnna M.1,2,3; Kirtman, Ben P.2 | |
| 2019-06-01 | |
| 发表期刊 | CLIMATE DYNAMICS
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| ISSN | 0930-7575 |
| EISSN | 1432-0894 |
| 出版年 | 2019 |
| 卷号 | 52期号:11页码:6877-6892 |
| 文章类型 | Article |
| 语种 | 英语 |
| 国家 | USA |
| 英文摘要 | It is important to have confidence in seasonal climate predictions of precipitation, particularly related to drought, as implications can be far-reaching and costlythis is particularly true for Florida. Precipitation can vary on fine spatial resolutions, and high-resolution coupled models may be needed to correctly represent precipitation variability. We study south Florida and southeast United States drought in Community Climate System version 4 low resolution (1 degrees atmosphere/ocean) and high-resolution (0.5 degrees atmosphere/0.1 degrees ocean) predictions for time means ranging from 3 to 36months. The very high-resolution in the ocean is of interest here given the potential importance of Gulf Stream on south Florida rainfall. Skill of shorter time-mean South Florida predictions (i.e. 3- and 12-months) are not impacted by increased resolution, but skill of 36-month mean south Florida precipitation is somewhat increased in the high resolution predictions. Notably, over the broader southeast United States the high-resolution model has higher skill for the 36-month mean rainfall predictions, associated with an improved relationship with tropical Pacific and Gulf Stream SSTA. Why this improvement in the broader southeast United States does not extend to Florida is an open question, but does suggest that even further resolution refinements may be needed. |
| 英文关键词 | Climate Prediction CCSM4 Rainfall Florida Southeast US |
| 领域 | 气候变化 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000469016700033 |
| WOS关键词 | ATLANTIC MULTIDECADAL OSCILLATION ; EVERGLADES ECOSYSTEM ; ENSO PREDICTION ; GULF-STREAM ; CLIMATE ; MODEL ; PRECIPITATION ; SENSITIVITY ; SIMULATIONS ; VARIABILITY |
| WOS类目 | Meteorology & Atmospheric Sciences |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183488 |
| 专题 | 气候变化 |
| 作者单位 | 1.Univ Corp Atmospher Res, Boulder, CO 80307 USA; 2.Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Cooperat Inst Marine & Atmospher Studies, 4600 Rickenbacker Causeway, Miami, FL 33149 USA; 3.Florida Atlantic Univ, Ctr Environm Studies, 3200 Coll Ave, Davie, FL 33314 USA |
| 推荐引用方式 GB/T 7714 | Infanti, Johnna M.,Kirtman, Ben P.. A comparison of CCSM4 high-resolution and low-resolution predictions for south Florida and southeast United States drought[J]. CLIMATE DYNAMICS,2019,52(11):6877-6892. |
| APA | Infanti, Johnna M.,&Kirtman, Ben P..(2019).A comparison of CCSM4 high-resolution and low-resolution predictions for south Florida and southeast United States drought.CLIMATE DYNAMICS,52(11),6877-6892. |
| MLA | Infanti, Johnna M.,et al."A comparison of CCSM4 high-resolution and low-resolution predictions for south Florida and southeast United States drought".CLIMATE DYNAMICS 52.11(2019):6877-6892. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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