GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2021.105570
Extensive evaluation of IMERG precipitation for both liquid and solid in Yellow River source region
Chengcheng Meng, Xingguo Mo, Suxia Liu, Shi Hu
2021-03-10
发表期刊Atmospheric Research
出版年2021
英文摘要

The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) produces high-resolution precipitation estimates and serves as an invaluable data source for data-scarce and ungauged basins. This study comprehensively evaluates two near-real time products (IMERG-E and IMERG-L) and a post-real time dataset (IMERG-F) of IMERG V06B from 2014 to 2019 on basin and grid scales in the Yellow River source region, a data-sparse basin in the northeastern Tibetan Plateau. Results show that the three IMERG products can well depict the spatial distribution of precipitation in the study area. Compared to IMERG-E and IMERG-L, the gauge-adjusted IMERG-F shows better agreement and event detection on both basin and grid scale, yet is limited in improving data accuracy. The near-real time products, IMERG-E and IMERG-L, underestimate precipitation across the basin (~−37.82% and ~−38.55%, respectively). At the same time, post-real time product exhibits negative errors in drier areas and positive errors in wetter regions that are roughly separated by the basin's 3900 m contour. The correlation, error metrics, and detecting ability of the three products upgrade from northwest to southeast as the climate becomes wet. Temporal properties exhibit dependence on meteorological conditions. Specifically, the performance in the wet season is superior to that in the dry season. For instance, the normalized root mean square error for IMERG-F was reduced by 55.10% from dry season to wet season. IMERG products' capability to detect precipitation is affected by temporal scale, intensity, and phase. The reliability of these satellite precipitation products increases when the time interval extends from daily to monthly. IMERG can better estimate moderate precipitation, especially in the range of 5–10 mm/d. The products generally perform worse for solid precipitation than for liquid one. However, interactions of precipitation phases and intensities lead to a decrease in accuracy for light precipitation (<5 mm/d) but an increase for moderate events (≥5 mm/d) when the phase transforms from solid to liquid. Uncertainty of reference data results in an underestimation of product quality. These findings provide a useful reference for the application of IMERG products in cold mountainous areas and reveal the needs for an exhaustive calibration, especially for solid precipitation.

领域地球科学
URL查看原文
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/318544
专题地球科学
推荐引用方式
GB/T 7714
Chengcheng Meng, Xingguo Mo, Suxia Liu, Shi Hu. Extensive evaluation of IMERG precipitation for both liquid and solid in Yellow River source region[J]. Atmospheric Research,2021.
APA Chengcheng Meng, Xingguo Mo, Suxia Liu, Shi Hu.(2021).Extensive evaluation of IMERG precipitation for both liquid and solid in Yellow River source region.Atmospheric Research.
MLA Chengcheng Meng, Xingguo Mo, Suxia Liu, Shi Hu."Extensive evaluation of IMERG precipitation for both liquid and solid in Yellow River source region".Atmospheric Research (2021).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Chengcheng Meng, Xingguo Mo, Suxia Liu, Shi Hu]的文章
百度学术
百度学术中相似的文章
[Chengcheng Meng, Xingguo Mo, Suxia Liu, Shi Hu]的文章
必应学术
必应学术中相似的文章
[Chengcheng Meng, Xingguo Mo, Suxia Liu, Shi Hu]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。