权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Estimating snow water equivalent using combined remote sensing measurements and a snow hydrology model

使用组合遥感测量和雪水文模型估算雪水当量

基本信息

批准号：
341922-2007
负责人：
Kelly, Richard
金额：
$ 1.46万
依托单位：
University of Waterloo
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2011
资助国家：
加拿大
起止时间：
2011-01-01 至 2012-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=482364
关键词：
Estimating snow water equivalent using

项目摘要

Snow water storage is a key part of the water cycle. Estimating the volume of seasonal snow water storage has been attempted using satellite remote sensing and physically-based numerical models. However, uncertainties from satellite observations can be great, especially at the local scale, and hydrology models rely on meteorological measurements which are often not available in remote locations. This proposal seeks to combine satellite remote sensing measurements with a hydrological model to assess the use of remote sensing observations for augmenting model estimates in remote locations. The project will combine three snow measurements from three different remote sensing systems to produce a blended snow water equivalent (SWE) data set. Then, by installing two weather stations locally that can measure environmental variables at two local sites a hydrologic model capable of simulating seasonal snow water storage will be run. The model will also be run using coarse scale regional climate model input data from the Canadian Regional Climate Model (CRCM) at Environment Canada. This will enable comparison between the model SWE estimates at the field sites as a function of the two types of input data. Then the project will assess how remote sensing estimates can improve the model using a data assimilation method, especially when run with the CRCM. Snow surveys conducted during the winter seasons will form an integral part of this proposal and will facilitate testing of the remote sensing and model SWE estimates.

雪水储存是水循环的重要组成部分。已经尝试使用卫星遥感和基于物理的数值模型估算季节性雪水储存量。然而，卫星观测的不确定性可能很大，特别是在局部尺度上，而水文模式依赖于气象测量，而这些测量在偏远地区往往无法获得。这项建议力求将卫星遥感测量与水文模型结合起来，以评估遥感观测在偏远地区扩大模型估算的使用情况。该项目将结合来自三种不同遥感系统的三种降雪测量结果，产生混合雪水当量（SWE）数据集。然后，通过在当地安装两个气象站，可以在两个地方站点测量环境变量，将运行一个能够模拟季节性雪水储存的水文模型。该模式还将使用来自加拿大环境部的加拿大区域气候模式（CRCM）的粗尺度区域气候模式输入数据运行。这将使实地地点的模型SWE估计能够作为两种输入数据的函数进行比较。然后，该项目将评估遥感估算如何使用数据同化方法改进模型，特别是在与CRCM一起运行时。在冬季进行的积雪调查将构成这项建议的一个组成部分，并将促进对遥感和模式SWE估计的测试。