Performance and uncertainties of five popular satellite-based precipitation products in drought monitoring for different climate regions

降水 干旱 环境科学 高原(数学) 蒸散量 气候学 气候变化 卫星 气象学 地理 生态学 地质学 工程类 数学分析 航空航天工程 生物 数学
作者
Yanzhong Li,Haiwen Yan,Li Chen,Manjie Huang,Weiwei Shou,Liqin Zhu,Lin Zhao,Yincong Xing
出处
期刊:Journal of Hydrology [Elsevier BV]
卷期号:628: 130562-130562 被引量:10
标识
DOI:10.1016/j.jhydrol.2023.130562
摘要

Satellite-based precipitation products (SPPs) can provide crucial precipitation estimations for large-scale, near-real-time meteorological drought monitoring. However, the performances and uncertainties of SPPs in capturing drought information may vary greatly by product and climate region and are still poorly understood. In this study, we comprehensively evaluated the accuracy of five popular SPPs (MSWEP, TMPA 3B42, PERSIANN-CDR, CHIRPS, and COMRPH) in characterizing meteorological drought in mainland China. (1) Under global warming conditions, the standardized precipitation evapotranspiration index (SPEI) identified a significant decrease in drought associated with higher potential evapotranspiration (PET), which indicated the essential role of PET in determining drought evolution over different climate regions. (2) Among all the SPPs investigated, MSWEP, TMPA 3B42, and PERSIANN perform best in capturing the spatiotemporal pattern of the SPEI trend in the arid Tibetan Plateau regions, transition regions, and humid regions, respectively. In terms of drought category and drought characteristics, MSWEP and TMPA 3B42 perform very well for humid regions, and CHIRPS is better for cold and arid regions, with the poorest performance being found in CMORPH. However, no product performs well for all climate regions for drought monitoring. (3) The optimized parameters (OPs) are the dominant factor for drought uncertainties, followed by the interaction effect and SPPs, with great regional dependence. The OPs contributed the most to drought uncertainties over the relatively arid area of northern China, the interaction of OPs and SPPs did so in the humid area of China, and SPPs were found to contribute the most in the central Tibetan Plateau and some parts of humid regions. Our findings provide guidelines on the choice and application of existing SPP datasets for drought monitoring in different climate zones, as well as some clues to further improve the products over areas where they perform poorly.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
2秒前
3秒前
嘻嘻哈哈应助liudun23采纳,获得10
5秒前
whysoserious发布了新的文献求助10
5秒前
谦逊的饼完成签到,获得积分10
5秒前
科目三应助大梦要努力采纳,获得10
7秒前
哦萨尔发布了新的文献求助10
7秒前
踏实半烟完成签到,获得积分10
7秒前
生动不平发布了新的文献求助10
8秒前
和老爹豆豆完成签到,获得积分20
9秒前
77完成签到 ,获得积分10
9秒前
粗犷的尔阳完成签到,获得积分10
11秒前
wenliu完成签到,获得积分10
11秒前
随便吧发布了新的文献求助10
13秒前
153266916完成签到 ,获得积分10
14秒前
14秒前
orixero应助科研通管家采纳,获得10
15秒前
深情安青应助科研通管家采纳,获得10
16秒前
情怀应助科研通管家采纳,获得10
16秒前
long应助科研通管家采纳,获得10
16秒前
Owen应助科研通管家采纳,获得10
16秒前
大模型应助科研通管家采纳,获得10
16秒前
星辰大海应助科研通管家采纳,获得10
16秒前
烟花应助科研通管家采纳,获得10
17秒前
酷波er应助科研通管家采纳,获得10
17秒前
17秒前
17秒前
贪玩的访风完成签到 ,获得积分10
18秒前
18秒前
wanci应助每天吃土采纳,获得10
20秒前
20秒前
Mythvens完成签到,获得积分10
21秒前
薯片儿完成签到 ,获得积分10
22秒前
22秒前
ding应助难过的谷芹采纳,获得10
23秒前
小南瓜发布了新的文献求助30
23秒前
whysoserious完成签到,获得积分10
24秒前
乐乐应助行家AAA采纳,获得10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Fermented Coffee Market 2000
PARLOC2001: The update of loss containment data for offshore pipelines 500
A Treatise on the Mathematical Theory of Elasticity 500
Critical Thinking: Tools for Taking Charge of Your Learning and Your Life 4th Edition 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5252465
求助须知:如何正确求助?哪些是违规求助? 4416187
关于积分的说明 13748934
捐赠科研通 4288199
什么是DOI,文献DOI怎么找? 2352788
邀请新用户注册赠送积分活动 1349608
关于科研通互助平台的介绍 1309131