气候模型模拟极端降水的时空模型及其在北美重现期变化评估中的应用

A Spatiotemporal Model for Extreme Precipitation Simulated by a Climate Model, With an Application to Assessing Changes in Return Levels Over North America

Journal of the Royal Statistical Society. Series C: Applied Statistics · 2017
被引 25
ABS 3

中文导读

本文开发了一个适用于气候模型输出的极端降水时空统计模型,用于估算北美未来气候下的降水重现期,为洪水风险管理提供依据。

Abstract

Summary Extreme precipitation plays a major role in flooding events and their occurrence and intensity are expected to increase. Because climate models are the only tools for providing quantitative projections of precipitation, flood risk management for the future climate may be based on the simulation of such events. The goal of the paper is to develop a spatiotemporal statistical model for extremes that is particularly suited to climate model outputs, which are transient and lie on a regular grid. Using the statistical model proposed, projected precipitation return levels for the coming climate over North America are estimated.

极端降水气候模型时空统计模型洪水风险管理北美