Scaling of precipitation extremes with temperature in China's mainland: Evaluation of satellite precipitation data
文献类型：期刊论文
| 作者 | Hosseini-Moghari, Seyed-Mohammad1; Sun, Siao2; Tang, Qiuhong1,3; Groisman, Pavel Yakovlevich4,5,6 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 606页码:14 |
| 关键词 | Clausius-Clapeyron Dew point temperature IMERG Peak structure Scaling factor Surface air temperature |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2021.127391 |
| 通讯作者 | Tang, Qiuhong(tangqh@igsnrr.ac.cn) |
| 英文摘要 | This study explores the sensitivity (termed scaling factor, SF) of daily and 30-minute precipitation extremes with several temperature variables, i.e., within-day surface air temperature (SAT) and dew point temperature (DPT), and antecedent SAT and DPT (corresponding to temperatures one day before a precipitation event, denoted as SAT-C and DPT-C) across China's mainland. To this end, we used observed daily meteorological data from CN05.1 dataset and 30-minute precipitation data from the Integrated Multisatellite Retrievals for the Global Precipitation Measurement (IMERG). Our results reveal a mix of the positive and negative SFs of extreme daily precipitation with SAT across climatic zones, with peak-like structures developing at higher temperatures (between 17 and 24 degrees C). Although almost all the SFs turn to positive when SAT-C, DPT, and DPT-C are used, a peak structure is observed over some parts of each climate zone, especially in tropical regions. A comparison between the SFs of the full temperature range and the temperature range before peak structure reveals that a single scaling rate is not valid for the entire temperature range. Moreover, the SFs calculated based on the temperature range before the peak structure (for all four types of temperatures) follow better the Clausius-Clapeyron scaling (similar to 7%/degrees C) than the SFs of the full temperature range except for the tropical region. Daily SFs based on IMERG data are mostly comparable to CN05.1 results, with discrepancies mainly in tropical and plateau climates (roughly 25% of the study area). However, IMERG' s 30-min precipitation extremes do not rise as much as expected (even decrease in some parts of the country) with increasing temperatures, contrary to common observations reported in previous studies. It suggests that another precipitation dataset is needed for scaling precipitation extremes at a 30-minute scale, at least for China's mainland. |
| WOS关键词 | CONVECTIVE PRECIPITATION ; AIR-TEMPERATURE ; FUTURE CHANGES ; SURFACE AIR ; INTENSITY ; DURATION ; CLIMATE ; DEPENDENCE ; FREQUENCY ; RESPONSES |
| 资助项目 | National Natural Science Foundation of China[41730645] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060402] ; Chinese Academy of Sciences President's International Fellowship Initiative[2019VEA0019] ; University of Maryland - College Park, USA[572,867] |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000752471200002 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Chinese Academy of Sciences President's International Fellowship Initiative ; University of Maryland - College Park, USA |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/170645]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Qiuhong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.North Carolina State Univ, NOAA, Natl Ctr Environm Informat, Asheville, NC USA 5.RAS, PP Shirshov Inst Oceanol, Moscow, Russia 6.Hydrol Sci & Serv Corp, Asheville, NC USA |
| 推荐引用方式 GB/T 7714 | Hosseini-Moghari, Seyed-Mohammad,Sun, Siao,Tang, Qiuhong,et al. Scaling of precipitation extremes with temperature in China's mainland: Evaluation of satellite precipitation data[J]. JOURNAL OF HYDROLOGY,2022,606:14. |
| APA | Hosseini-Moghari, Seyed-Mohammad,Sun, Siao,Tang, Qiuhong,&Groisman, Pavel Yakovlevich.(2022).Scaling of precipitation extremes with temperature in China's mainland: Evaluation of satellite precipitation data.JOURNAL OF HYDROLOGY,606,14. |
| MLA | Hosseini-Moghari, Seyed-Mohammad,et al."Scaling of precipitation extremes with temperature in China's mainland: Evaluation of satellite precipitation data".JOURNAL OF HYDROLOGY 606(2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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