Wide multiscale weather prediction research for complex terrain

我们的计划目标是提高沿海和山区的天气预报质量，并更好地预测与天气有关的灾害。 为了做到这一点，我们从称为数值天气预报（NWP）模型的计算机代码开始，该模型求解大气的流体动力学方程。 我们修改了这些模型，以更好地解决小规模的天气特征-在复杂的地形中至关重要。 以这些数值预报模式为工具，我们将进行以下项目，并将通过每天将我们的研究预报与地面天气观测进行比较来测试我们的成功。 一个主要的项目是编写一个新的NWP模型，成功地处理了当前模型的弱点之一-陡峭山坡上的强风。 这将需要几年时间。 另一个战略性项目是将现场可编程门阵列（FPGA）计算机芯片技术转移到天气预报中。 这将使NWP模型能够更快地完成预测，同时更准确地预测天气。 第三个项目是通过更好地利用来自加拿大上风（西部）国际实地方案的天气观测和通过部署密集的高分辨率气象站网络在当地进行的天气观测来提高可预测性。 我们将把所有这些工作的结果整合到自然灾害和自然资源的模型中：-用于水文模型的山区降水，以更好地预测洪水和管理水力发电水库; -影响W.加拿大森林通过树木吹倒和森林火灾; -山区降雪影响雪崩和2010年冬季奥运会;和-污染物运输影响空气质量和全球变暖。 这项研究可以挽救生命，使工业蓬勃发展，改善经济和税收基础，并支持有效管理资源在W。加拿大

Our program goal is to improve weather-forecast quality in coastal and mountainous terrain, and to better predict weather-related disasters.  To do this, we start with computer codes called numerical weather prediction (NWP) models that solve the fluid-dynamics equations of the atmosphere.  We modify these models to better resolve smaller-scale weather features -- critically important in complex terrain.  With these NWP models as tools, we will pursue the following projects, and will test our success by comparing our research forecasts daily against surface weather observations.     One major project is to write a new NWP model that successfully handles one of the weaknesses of current models -- strong winds over steep mountain slopes.  This will take several years.  Another project, strategic in nature, is to transfer the technology of Field Programmable Gate Array (FPGA) computer chips to weather forecasting.  This will enable NWP models to complete their forecasts sooner while more accurately forecasting the weather.  A third project is to improve predictability by better use of weather observations, both from an international field program upwind (west) of Canada, and locally via deployment of a dense, high-resolution network of weather stations.  We will integrate results from all this work into models for natural hazards and natural resources:  - mountain precipitation for hydrological models to better predict floods and manage hydroelectric reservoirs;  - mountain winds that affect W. Canada forests via tree blowdown and forest fires;  - mountain snowfall as affect avalanches and the 2010 Winter Olympics; and - pollutant transport as affect air quality and global warming.  This research can save lives, allow industries to thrive, improve the economy and tax base, and support effective stewardship of resources in W. Canada.