降水与海拔的关系:瑞士阿尔卑斯山的非线性和时空变异性普遍存在

IF 3.1 Q2 GEOSCIENCES, MULTIDISCIPLINARY Journal of Hydrology X Pub Date : 2024-09-11 DOI:10.1016/j.hydroa.2024.100186
Lionel Benoit , Erwan Koch , Nadav Peleg , Gregoire Mariethoz
{"title":"降水与海拔的关系:瑞士阿尔卑斯山的非线性和时空变异性普遍存在","authors":"Lionel Benoit ,&nbsp;Erwan Koch ,&nbsp;Nadav Peleg ,&nbsp;Gregoire Mariethoz","doi":"10.1016/j.hydroa.2024.100186","DOIUrl":null,"url":null,"abstract":"<div><p>The relationship between mean daily precipitation and elevation is often regarded as linear and positive, resulting in simple “precipitation lapse rate” equations frequently employed to extrapolate daily rainfall from a single weather station over a large area. We examine the precipitation-elevation relationship in the Swiss Alps using a combination of weather radar and rain gauge data to test this common assumption, challenging it by fitting a two-segment piecewise linear model with a mid-slope break-point as an alternative. By examining data stratified by catchment, season, and weather type, we assess the space–time variability of the precipitation-elevation relationship. We conclude that a non-linear and non-stationary model seems necessary to capture the variability of the observed precipitation-elevation relationship. Based on our findings, we suggest that the simplified precipitation lapse rate concept is misleading and should be reconsidered in hydrological applications, emphasizing the need for a more realistic representation of precipitation variability over time and space.</p></div>","PeriodicalId":36948,"journal":{"name":"Journal of Hydrology X","volume":"25 ","pages":"Article 100186"},"PeriodicalIF":3.1000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589915524000166/pdfft?md5=5476d2fbeeb8f8e6e4cfbc3ca95b6d74&pid=1-s2.0-S2589915524000166-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Precipitation-elevation relationship: Non-linearity and space–time variability prevail in the Swiss Alps\",\"authors\":\"Lionel Benoit ,&nbsp;Erwan Koch ,&nbsp;Nadav Peleg ,&nbsp;Gregoire Mariethoz\",\"doi\":\"10.1016/j.hydroa.2024.100186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The relationship between mean daily precipitation and elevation is often regarded as linear and positive, resulting in simple “precipitation lapse rate” equations frequently employed to extrapolate daily rainfall from a single weather station over a large area. We examine the precipitation-elevation relationship in the Swiss Alps using a combination of weather radar and rain gauge data to test this common assumption, challenging it by fitting a two-segment piecewise linear model with a mid-slope break-point as an alternative. By examining data stratified by catchment, season, and weather type, we assess the space–time variability of the precipitation-elevation relationship. We conclude that a non-linear and non-stationary model seems necessary to capture the variability of the observed precipitation-elevation relationship. Based on our findings, we suggest that the simplified precipitation lapse rate concept is misleading and should be reconsidered in hydrological applications, emphasizing the need for a more realistic representation of precipitation variability over time and space.</p></div>\",\"PeriodicalId\":36948,\"journal\":{\"name\":\"Journal of Hydrology X\",\"volume\":\"25 \",\"pages\":\"Article 100186\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2589915524000166/pdfft?md5=5476d2fbeeb8f8e6e4cfbc3ca95b6d74&pid=1-s2.0-S2589915524000166-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology X\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2589915524000166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589915524000166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

平均日降水量与海拔高度之间的关系通常被认为是线性和正相关的,因此经常使用简单的 "降水失效率 "方程来推断单个气象站在大范围内的日降水量。我们结合气象雷达和雨量计数据研究了瑞士阿尔卑斯山的降水量与海拔高度之间的关系,以检验这一常见假设。通过研究按流域、季节和天气类型分层的数据,我们评估了降水-海拔关系的时空变异性。我们得出的结论是,要捕捉观测到的降水-海拔关系的变异性,似乎需要一个非线性和非稳态模型。根据我们的研究结果,我们认为简化的降水失效率概念具有误导性,应在水文应用中重新考虑,并强调需要更真实地反映降水在时间和空间上的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Precipitation-elevation relationship: Non-linearity and space–time variability prevail in the Swiss Alps

The relationship between mean daily precipitation and elevation is often regarded as linear and positive, resulting in simple “precipitation lapse rate” equations frequently employed to extrapolate daily rainfall from a single weather station over a large area. We examine the precipitation-elevation relationship in the Swiss Alps using a combination of weather radar and rain gauge data to test this common assumption, challenging it by fitting a two-segment piecewise linear model with a mid-slope break-point as an alternative. By examining data stratified by catchment, season, and weather type, we assess the space–time variability of the precipitation-elevation relationship. We conclude that a non-linear and non-stationary model seems necessary to capture the variability of the observed precipitation-elevation relationship. Based on our findings, we suggest that the simplified precipitation lapse rate concept is misleading and should be reconsidered in hydrological applications, emphasizing the need for a more realistic representation of precipitation variability over time and space.

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
Journal of Hydrology X
Journal of Hydrology X Environmental Science-Water Science and Technology
CiteScore
7.00
自引率
2.50%
发文量
20
审稿时长
25 weeks
期刊最新文献
Revisiting model complexity: Space-time correction of high dimensional variable sets in climate model simulations Quantifying the economic value of a national hydrometric network for households Private sensors and crowdsourced rainfall data: Accuracy and potential for modelling pluvial flooding in urban areas of Oslo, Norway A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks A nonstationary stochastic simulator for clustered regional hydroclimatic extremes to Characterize compound flood risk
×
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