Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.atmosres.2024.107226 |
Multi-dimensional evaluation of four monthly long-term and high-resolution gridded precipitation datasets on the Qinghai-Tibet Plateau | |
Meng, Nan; Yang, Yanzheng; Qi, Wenchao; Zhu, Jingyi; Dai, Xuhuan; Li, Ruonan; Ma, Jinfeng; Zheng, Hua | |
通讯作者 | Yang, YZ |
来源期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2024 |
卷号 | 300 |
英文摘要 | The reliability assessment of gridded precipitation datasets (GPDs) is vital for various precipitation-related studies, particularly in poorly gauged regions as the Qinghai-Tibet Plateau (QTP). However, existing studies predominantly focuses more on mainstream GPDs with low spatiotemporal resolution, making it challenging to meet the requirements for widespread applications. There is an urgent need for a systematic assessment of long-term and high-resolution GPDs. In this study, we considered four GPDs (HRLT, TPHiPr, PENG, and CHIRPS) with a spatial resolution above 0.05 degrees during 1981-2019, evaluating their monthly performance across three dimensions: spatial accuracy, temporal accuracy, and precipitation event detection ability. The results revealed the following: (1) TPHiPr exhibited the highest spatial accuracy (R-2 = 0.81), and the four GPDs consistently performed the worst in arid areas (R-2 = 0.59 +/- 0.15) and the best in semi-humid areas (R-2 = 0.80 +/- 0.02). (2) PENG attained the highest temporal accuracy (NSE = -0.56), and the four GPDs performed the worst in winter (NSE = -1.06 +/- 0.9) and the best in autumn (NSE = 0.08 +/- 0.16). (3) HRLT and TPHiPr demonstrated superior precipitation event detection abilities compared to others. The four GPDs consistently exhibited high detection abilities for light monthly precipitation events (0-10 mm) and low detection abilities for heavy monthly precipitation events (150-200 mm). This study underscored the potential advantages of GPDs in the three dimensions, and also highlighted their limitations in arid areas, winter, and heavy precipitation events, thus providing directions for further GPDs' accuracy improvement. |
英文关键词 | Gridded precipitation datasets Spatial accuracy Temporal accuracy Precipitation events detection ability The Qinghai -Tibet Plateau |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:001176858800001 |
WOS关键词 | IMERG ; TEMPERATURE ; RETRIEVALS ; RAINFALL |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/402992 |
推荐引用方式 GB/T 7714 | Meng, Nan,Yang, Yanzheng,Qi, Wenchao,et al. Multi-dimensional evaluation of four monthly long-term and high-resolution gridded precipitation datasets on the Qinghai-Tibet Plateau[J],2024,300. |
APA | Meng, Nan.,Yang, Yanzheng.,Qi, Wenchao.,Zhu, Jingyi.,Dai, Xuhuan.,...&Zheng, Hua.(2024).Multi-dimensional evaluation of four monthly long-term and high-resolution gridded precipitation datasets on the Qinghai-Tibet Plateau.ATMOSPHERIC RESEARCH,300. |
MLA | Meng, Nan,et al."Multi-dimensional evaluation of four monthly long-term and high-resolution gridded precipitation datasets on the Qinghai-Tibet Plateau".ATMOSPHERIC RESEARCH 300(2024). |
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