Adaptation and application of the Canadian Precipitation Analysis (CaPA) in Manitoba

降水信息是水文模型和各种水管理模型的关键输入。在加拿大的许多地区，降水站相距甚远，可能很难获得有关降水的准确信息。为了弥补气象站数据的不足，加拿大环境部近年来开发了一个称为CaPA（加拿大降水分析）的降水分析系统，该系统将数值天气预报模型的输出与气象站天气网的观测结果结合起来。 加拿大环境部的研究人员已经确定了CaPA的一系列可能的改进。该项目的目标是调查其中的一些改进，并在加拿大大草原地区建立的实验版本中实施。鉴于大草原地区的天气观测站密度很低，一项重要的任务是将来自各种合作网络和遥感平台的更多观测信息纳入CaPA。该项目的一部分将侧重于优化CaPA核心的地质统计方法。该项目还将探索CaPA产品在水文模型校准、径流预测和气候变化降尺度方面的各种应用。

Precipitation information is a critical input to hydrologic models and various water management models. In many areas of Canada, precipitation stations are located far apart and it may be difficult to obtain accurate information about precipitation. To compensate for the lack of weather station data, Environment Canada has in recent years developed a precipitation analysis system called CaPA (Canadian Precipitation Analysis) that combines the output from a numerical weather prediction model with observations from the synoptic network of weather stations. A series of possible improvements of CaPA have been identified by researchers with Environment Canada. The objective of this project is to investigate some of these improvements and implement them in an experimental version set up for the Canadian Prairie region. Given the very low density of synoptic stations in the Prairie region, an important task will be to integrate more observational information into CaPA from various cooperative networks and from remote sensing platforms. Part of the project will focus on optimizing the geostatistical method that is at the core of CaPA. The project will also explore various applications of CaPA products for hydrologic model calibration, streamflow forecasting, and for climate change downscaling.