Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-16-0683.1 |
Distributions of Tropical Precipitation Cluster Power and Their Changes under Global Warming. Part I: Observational Baseline and Comparison to a High-Resolution Atmospheric Model | |
Quinn, Kevin M.; Neelin, J. David | |
2017-10-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:20 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The total amount of precipitation integrated across a precipitation feature (contiguous precipitating grid cells exceeding a minimum rain rate) is a useful measure of the aggregate size of the disturbance, expressed as the rate of water mass lost or latent heat released (i.e., the power of the disturbance). The probability distribution of cluster power is examined over the tropics using Tropical Rainfall Measuring Mission (TRMM) 3B42 satellite-retrieved rain rates and global climate model output. Observed distributions are scale-free from the smallest clusters up to a cutoff scale at high cluster power, after which the probability drops rapidly. After establishing an observational baseline, precipitation from the High Resolution Atmospheric Model (HiRAM) at two horizontal grid spacings (roughly 0.5 degrees and 0.25 degrees) is compared. When low rain rates are excluded by choosing a minimum rain-rate threshold in defining clusters, the model accurately reproduces observed cluster power statistics at both resolutions. Middle and end-of-century cluster power distributions are investigated in HiRAM in simulations with prescribed sea surface temperatures and greenhouse gas concentrations from a "business as usual'' global warming scenario. The probability of high cluster power events increases strongly by end of century, exceeding a factor of 10 for the highest power events for which statistics can be computed. Clausius-Clapeyron scaling accounts for only a fraction of the increased probability of high cluster power events. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000411438000001 |
WOS关键词 | CLOUD-RESOLVING MODEL ; ATLANTIC HURRICANES ; CLIMATE EXTREMES ; SELF-AGGREGATION ; CYCLONE RAINFALL ; SIMULATIONS ; CONVECTION ; TEMPERATURE ; INTENSITY ; INCREASES |
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/19756 |
专题 | 气候变化 |
作者单位 | Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA |
推荐引用方式 GB/T 7714 | Quinn, Kevin M.,Neelin, J. David. Distributions of Tropical Precipitation Cluster Power and Their Changes under Global Warming. Part I: Observational Baseline and Comparison to a High-Resolution Atmospheric Model[J]. JOURNAL OF CLIMATE,2017,30(20). |
APA | Quinn, Kevin M.,&Neelin, J. David.(2017).Distributions of Tropical Precipitation Cluster Power and Their Changes under Global Warming. Part I: Observational Baseline and Comparison to a High-Resolution Atmospheric Model.JOURNAL OF CLIMATE,30(20). |
MLA | Quinn, Kevin M.,et al."Distributions of Tropical Precipitation Cluster Power and Their Changes under Global Warming. Part I: Observational Baseline and Comparison to a High-Resolution Atmospheric Model".JOURNAL OF CLIMATE 30.20(2017). |
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