Use of North American regional reanalysis data for hydrologic modeling and climate downscaling

该项目研究了最近发布的再分析数据集（称为北美区域再分析（NARR））在水文建模和气候降尺度方面的应用。北大西洋区域研究所的数据集提供了32公里规则网格上的降水和温度的可靠估计，这是区域气候变化影响评估的一个适当分辨率，该项目的总体目标是评估气候变化对加拿大中部四个中型流域径流的影响。本提案的具体目标有两个：（1）使用NARR的降水和温度数据代替传统的气象站信息来校准和评估水文模型;（2）使用网格化的NARR数据开发统计降尺度模型。从这项研究中产生的模型将与那些开发的使用地理插值气候站information.The使用再分析数据在这个项目中作为一种替代气象站信息是特别有用的，在加拿大，许多地区有稀疏的气象站网络。如果该项目成功地证明了NARR再分析数据的有用性，则该信息源可用于其他水文研究，否则由于缺乏数据而不可行。

This project investigates the use of a recently released reanalysis data set, known as the North American Regional Reanalysis (NARR), for hydrologic modeling and climate downscaling. The NARR data set provides credible estimates of precipitation and temperature on a 32-km regular grid which is a suitable resolution for regional climate change impact assessments.The overall objective of the project is to evaluate climate change impact on streamflow in four medium-sized watersheds in central Canada. The specific objectives in this proposal are twofold: (1) to calibrate and evaluate a hydrologic model using NARR data of precipitation and temperature in lieu of traditional weather station information; and (2) to develop a statistical downscaling model using the gridded NARR data. The models resulting from this research will be compared with those developed using geographically interpolated climate station information.The use of reanalysis data in this project as an alternative to weather station information is particularly useful in Canada where many regions have sparse weather station networks. If the project is successful in demonstrating the usefulness of NARR reanalysis data, this source of information may be adopted in other hydrologic studies that otherwise would not have been feasible due to a lack of data.