Downscaling global information for regional benefit: coupling spatial models at varying space and time scales

被引:10
|
作者
Lau, L
Young, RA [1 ]
McKeon, G
Syktus, J
Duncalfe, F
Graham, N
McGregor, J
机构
[1] Queensland Dept Nat Resources, Climate Impacts & Nat Resource Syst, Emerald, Qld, Australia
[2] Univ Queensland, Adv Computat Modelling Ctr, Brisbane, Qld 4072, Australia
[3] Univ Calif San Diego, Scripps Inst Oceanog, Int Res Inst, San Diego, CA 92103 USA
[4] CSIRO, Canberra, ACT, Australia
关键词
seasonal climate forecast; global climate models; downscaling; spatial modelling; coupling models;
D O I
10.1016/S1364-8152(99)00016-X
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Every environmental activity to a large extent is dependent on climate as natural processes are intrinsically linked with the waxing and waning of the seasons. The goal is to integrate global seasonal climate forecasts with local environmental decision support systems within an operational framework to deliver community benefits. This framework is designed to support the downscaling of coarse resolution seasonal forecasts to drive biological or hydrological applications at the regional level. Some of the challenges and complexities in coupling spatial simulations operating at varying spatial and temporal resolutions will be discussed from several viewpoints, illustrating the value of multidisciplinary collaboration in a virtual team and benefits from the globalisation of research, This project demonstrates how a state Government is evolving an existing service to enhance the use of seasonal climate forecasts for sustainable environmental and natural resource management. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:519 / 529
页数:11
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