Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-017-3830-7 |
Dependence of estimated precipitation frequency and intensity on data resolution | |
Chen, Di1; Dai, Aiguo1,2 | |
2018-05-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 50页码:3625-3647 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Precipitation frequency (F) and intensity (I) are important characteristics that climate models often fail to simulate realistically. Their estimates are highly sensitive to the spatial and temporal resolutions of the input data and this further complicates the comparison between models and observations. Here, we analyze 3-hourly precipitation data on a 0.25A degrees grid from two satellite-derived datasets, namely TRMM 3B42 and CMORPH_V1.0, to quantify this dependence of the estimated precipitation F and I on data resolution. We then develop a simple probability-based relationship to explain this dependence, and examine the spatial and seasonal variations in the estimated F and I fields. As expected, precipitation F (I) increases (decreases) with the size of the grid box or time interval over which the data are averaged, but the magnitude of this change varies with location, and is strongest in the tropics and weakest in the subtropics. Our simple relationship can quantitatively explain this dependence of the estimated F and I on the spatial or temporal resolution of the input data. This demonstrates that large differences in the estimated F and I can arise purely from the differences in the spatial or temporal resolution of the input data. The results highlight the need to have similar resolution in comparing two datasets or between observations and models. Our estimates show that extremely low frequencies (< 1%) are seen over the subtropics while the highest frequencies (20-40%) are located mostly over the tropics, and that the high frequency results from both longer and more frequent precipitation events. Precipitation intensity is more uniformly distributed than frequency. Strong correlations between the amount and frequency confirm the notion that the frequency plays a bigger role than intensity in determining precipitation variations. |
英文关键词 | Precipitation Frequency Intensity Data resolution Model evaluation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000429650700027 |
WOS关键词 | PRESENT-WEATHER REPORTS ; GLOBAL PRECIPITATION ; THUNDERSTORM FREQUENCIES ; OCEANIC PRECIPITATION ; DIURNAL CYCLE ; UNITED-STATES ; PART I ; RAIN ; MODEL ; SURFACE |
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/35544 |
专题 | 气候变化 |
作者单位 | 1.SUNY Albany, Dept Atmospher & Environm Sci, Albany, NY 12222 USA; 2.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA |
推荐引用方式 GB/T 7714 | Chen, Di,Dai, Aiguo. Dependence of estimated precipitation frequency and intensity on data resolution[J]. CLIMATE DYNAMICS,2018,50:3625-3647. |
APA | Chen, Di,&Dai, Aiguo.(2018).Dependence of estimated precipitation frequency and intensity on data resolution.CLIMATE DYNAMICS,50,3625-3647. |
MLA | Chen, Di,et al."Dependence of estimated precipitation frequency and intensity on data resolution".CLIMATE DYNAMICS 50(2018):3625-3647. |
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