中国东部沿海地区极端降雨卫星产品评估

IF 2.6 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Journal of Integrative Environmental Sciences Pub Date : 2019-01-01 DOI:10.1080/1943815X.2019.1707233
Qin Jiang, Weiyue Li, J. Wen, Zedong Fan, Yunnan Chen, M. Scaioni, Jun Wang
{"title":"中国东部沿海地区极端降雨卫星产品评估","authors":"Qin Jiang, Weiyue Li, J. Wen, Zedong Fan, Yunnan Chen, M. Scaioni, Jun Wang","doi":"10.1080/1943815X.2019.1707233","DOIUrl":null,"url":null,"abstract":"ABSTRACT Remotely sensed rainfall plays an important role in providing efficient approaches for global or regional rainfall analysis. However, the accuracy of satellite-based products is mainly affected by the errors in sensor observation and retrieval algorithms, particularly with respect to extreme rainfall estimates. The objective of this study is to evaluate the accuracy of satellite-based products in capturing rainfall extremes. The eastern coastal areas of China were chosen as the case study area to compare the accuracy of three mainstream satellite-based products with respect to extreme rainfall estimates during 2003–2015 period. This included the Tropical Rainfall Measurement Mission (TRMM) rainfall product 3B42V7, the Climate Prediction Centre Morphing technique RAW (CMORPH-RAW), and the CMORPH bias-corrected product (CMORPH-CRT). In general, all satellite-based products demonstrated numerous errors in extreme rainfall estimates. Based on three different indices of extreme rainfall, it was observed that the satellite-based products underestimated the amounts of rainfall extremes and their respective average values. It was noted that CMORPH-RAW demonstrated the largest relative bias (RB) and underestimated the average extreme rainfall by −31% to −35%. Additionally, all satellite-based products exhibited poor capabilities in capturing the variations in hourly extreme rainfall processes. Finally, a simple potential flood index was developed to simulate the potential flood areas in the eastern coastal areas of China. We found that the potential flood areas can be simulated by combining the potential flood index with the amounts of rainfall derived by satellite-based products.","PeriodicalId":16194,"journal":{"name":"Journal of Integrative Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Evaluation of satellite-based products for extreme rainfall estimations in the eastern coastal areas of China\",\"authors\":\"Qin Jiang, Weiyue Li, J. Wen, Zedong Fan, Yunnan Chen, M. Scaioni, Jun Wang\",\"doi\":\"10.1080/1943815X.2019.1707233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Remotely sensed rainfall plays an important role in providing efficient approaches for global or regional rainfall analysis. However, the accuracy of satellite-based products is mainly affected by the errors in sensor observation and retrieval algorithms, particularly with respect to extreme rainfall estimates. The objective of this study is to evaluate the accuracy of satellite-based products in capturing rainfall extremes. The eastern coastal areas of China were chosen as the case study area to compare the accuracy of three mainstream satellite-based products with respect to extreme rainfall estimates during 2003–2015 period. This included the Tropical Rainfall Measurement Mission (TRMM) rainfall product 3B42V7, the Climate Prediction Centre Morphing technique RAW (CMORPH-RAW), and the CMORPH bias-corrected product (CMORPH-CRT). In general, all satellite-based products demonstrated numerous errors in extreme rainfall estimates. Based on three different indices of extreme rainfall, it was observed that the satellite-based products underestimated the amounts of rainfall extremes and their respective average values. It was noted that CMORPH-RAW demonstrated the largest relative bias (RB) and underestimated the average extreme rainfall by −31% to −35%. Additionally, all satellite-based products exhibited poor capabilities in capturing the variations in hourly extreme rainfall processes. Finally, a simple potential flood index was developed to simulate the potential flood areas in the eastern coastal areas of China. We found that the potential flood areas can be simulated by combining the potential flood index with the amounts of rainfall derived by satellite-based products.\",\"PeriodicalId\":16194,\"journal\":{\"name\":\"Journal of Integrative Environmental Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Integrative Environmental Sciences\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/1943815X.2019.1707233\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Integrative Environmental Sciences","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1943815X.2019.1707233","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 9

摘要

遥感降雨在为全球或区域降雨分析提供有效方法方面发挥着重要作用。然而,卫星产品的精度主要受到传感器观测和检索算法误差的影响,特别是在极端降雨估计方面。本研究的目的是评估基于卫星的产品在捕获极端降雨方面的准确性。以中国东部沿海地区为例,比较了3种主流卫星产品在2003-2015年期间极端降水估算的精度。这包括热带降雨测量任务(TRMM)的降雨产品3B42V7,气候预测中心变形技术RAW (cmorf -RAW)和CMORPH偏差校正产品(cmorf - crt)。总的来说,所有基于卫星的产品在极端降雨估计中都显示出许多错误。基于三个不同的极端降水指数,卫星产品低估了极端降水的数量及其平均值。cmorpho - raw表现出最大的相对偏差(RB),低估了平均极端降雨量- 31%至- 35%。此外,所有基于卫星的产品在捕捉每小时极端降雨过程的变化方面表现出较差的能力。最后,建立了一个简单的潜在洪水指数来模拟中国东部沿海地区的潜在洪水面积。我们发现,将潜在洪水指数与基于卫星产品的降雨量相结合,可以模拟潜在洪水区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Evaluation of satellite-based products for extreme rainfall estimations in the eastern coastal areas of China
ABSTRACT Remotely sensed rainfall plays an important role in providing efficient approaches for global or regional rainfall analysis. However, the accuracy of satellite-based products is mainly affected by the errors in sensor observation and retrieval algorithms, particularly with respect to extreme rainfall estimates. The objective of this study is to evaluate the accuracy of satellite-based products in capturing rainfall extremes. The eastern coastal areas of China were chosen as the case study area to compare the accuracy of three mainstream satellite-based products with respect to extreme rainfall estimates during 2003–2015 period. This included the Tropical Rainfall Measurement Mission (TRMM) rainfall product 3B42V7, the Climate Prediction Centre Morphing technique RAW (CMORPH-RAW), and the CMORPH bias-corrected product (CMORPH-CRT). In general, all satellite-based products demonstrated numerous errors in extreme rainfall estimates. Based on three different indices of extreme rainfall, it was observed that the satellite-based products underestimated the amounts of rainfall extremes and their respective average values. It was noted that CMORPH-RAW demonstrated the largest relative bias (RB) and underestimated the average extreme rainfall by −31% to −35%. Additionally, all satellite-based products exhibited poor capabilities in capturing the variations in hourly extreme rainfall processes. Finally, a simple potential flood index was developed to simulate the potential flood areas in the eastern coastal areas of China. We found that the potential flood areas can be simulated by combining the potential flood index with the amounts of rainfall derived by satellite-based products.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.90
自引率
0.00%
发文量
13
审稿时长
>12 weeks
期刊介绍: Journal of Integrative Environmental Sciences (JIES) provides a stimulating, informative and critical forum for intellectual debate on significant environmental issues. It brings together perspectives from a wide range of disciplines and methodologies in both the social and natural sciences in an effort to develop integrative knowledge about the processes responsible for environmental change. The Journal is especially concerned with the relationships between science, society and policy and one of its key aims is to advance understanding of the theory and practice of sustainable development.
期刊最新文献
Integrative approaches to the environmental and socio-economic SDGs Alignment of energy transition and water resources under the carbon neutrality target in China World risk and adaptation futures – addressing emerging trends in climate change risks and adaptation. An introduction to the article collection Indonesia’s social protection system: the relevance of informal social protection to strengthen adaptation to climate change More to offer from the Montreal protocol: how the ozone treaty can secure further significant greenhouse gas emission reductions in the future
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1