Downscaling global information for regional benefit: coupling spatial models at varying space and time scales
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...
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Veröffentlicht in: | Environmental modelling & software : with environment data news 1999-01, Vol.14 (6), p.519-529 |
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container_title | Environmental modelling & software : with environment data news |
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creator | Lau, L. Young, R.A. McKeon, G. Syktus, J. Duncalfe, F. Graham, N. McGregor, J. |
description | 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. |
doi_str_mv | 10.1016/S1364-8152(99)00016-X |
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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.</description><subject>Climate</subject><subject>Complexity</subject><subject>Computer programs</subject><subject>Coupling models</subject><subject>Downscaling</subject><subject>Drives</subject><subject>Global climate models</subject><subject>Joining</subject><subject>Management</subject><subject>Mathematical models</subject><subject>Natural resources</subject><subject>Resolution</subject><subject>Seasonal climate forecast</subject><subject>Simulation</subject><subject>Spatial modelling</subject><subject>Waxing</subject><issn>1364-8152</issn><issn>1873-6726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNqFkM1KxDAUhYsoOI4-gpCV6KLaNGmauBEZf2HAhQqzC5n0Zoi0SU06I7696YyuXeVwz3duuCfLTnFxiQvMrl4xYTTnuCrPhbgoijTLF3vZBPOa5Kwu2X7Sf8hhdhTjxwhVJZ1k3Z3_clGr1roVWrV-qVpknfGhU4P1DiWFAqySTMYSHBg7XCPt1_02EfuEJafzDbQRqQFtVPj-dTQg5Ro02A7Q-AXE4-zAqDbCye87zd4f7t9mT_n85fF5djvPNSF8yA2mFSVMNQXmotaEGmM0V0AVLmrMtDZNrZdca0aFIQJ4SVRlRJpzQcsSyDQ72-3tg_9cQxxkZ6OGtlUO_DrKkglSVLxKYLUDdfAxBjCyD7ZLJ0hcyLFcuS1Xjs1JIeS2XLlIuZtdLl0NGwtBRm3BaWhsAD3Ixtt_NvwAisCEKg</recordid><startdate>19990101</startdate><enddate>19990101</enddate><creator>Lau, L.</creator><creator>Young, R.A.</creator><creator>McKeon, G.</creator><creator>Syktus, J.</creator><creator>Duncalfe, F.</creator><creator>Graham, N.</creator><creator>McGregor, J.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>19990101</creationdate><title>Downscaling global information for regional benefit: coupling spatial models at varying space and time scales</title><author>Lau, L. ; Young, R.A. ; McKeon, G. ; Syktus, J. ; Duncalfe, F. ; Graham, N. ; McGregor, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-f145436ad01897c34fffc8ae4a10716ccfd7cb8cc649f39e823a5f9ccf89422e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Climate</topic><topic>Complexity</topic><topic>Computer programs</topic><topic>Coupling models</topic><topic>Downscaling</topic><topic>Drives</topic><topic>Global climate models</topic><topic>Joining</topic><topic>Management</topic><topic>Mathematical models</topic><topic>Natural resources</topic><topic>Resolution</topic><topic>Seasonal climate forecast</topic><topic>Simulation</topic><topic>Spatial modelling</topic><topic>Waxing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lau, L.</creatorcontrib><creatorcontrib>Young, R.A.</creatorcontrib><creatorcontrib>McKeon, G.</creatorcontrib><creatorcontrib>Syktus, J.</creatorcontrib><creatorcontrib>Duncalfe, F.</creatorcontrib><creatorcontrib>Graham, N.</creatorcontrib><creatorcontrib>McGregor, J.</creatorcontrib><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Environmental modelling & software : with environment data news</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lau, L.</au><au>Young, R.A.</au><au>McKeon, G.</au><au>Syktus, J.</au><au>Duncalfe, F.</au><au>Graham, N.</au><au>McGregor, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Downscaling global information for regional benefit: coupling spatial models at varying space and time scales</atitle><jtitle>Environmental modelling & software : with environment data news</jtitle><date>1999-01-01</date><risdate>1999</risdate><volume>14</volume><issue>6</issue><spage>519</spage><epage>529</epage><pages>519-529</pages><issn>1364-8152</issn><eissn>1873-6726</eissn><abstract>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. 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issn | 1364-8152 1873-6726 |
language | eng |
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source | ScienceDirect Journals (5 years ago - present) |
subjects | Climate Complexity Computer programs Coupling models Downscaling Drives Global climate models Joining Management Mathematical models Natural resources Resolution Seasonal climate forecast Simulation Spatial modelling Waxing |
title | Downscaling global information for regional benefit: coupling spatial models at varying space and time scales |
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