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Downscaling regional climate model outputs for the Caribbean using a weather generator

Lookup NU author(s): John Richmond

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

Locally relevant scenarios of daily weather variables that represent the best knowledge of the present climate and projections of future climate change are needed by planners and managers to inform management and adaptation decision making. Information of this kind for the future is only readily available for a few developed country regions of the world. For many less-developed regions, it is often dificult to ind series of observed daily weather data to assist in planning decisions. This study applies a previously developed single-site weather generator (WG) to the Caribbean, using examples from Belizein the west to Barbados in the east. The purpose of this development is to provide users in the region with generated sequences of possible future daily weather that they can use in a number of impact sectors. The WG is irst calibrated for a number of sites across the region and the goodness of it of the WG against the daily station observations assessed. Particular attention is focussed on the ability of the precipitation component of the WG to generate realistic extreme values for the calibration or control period. The WG is then modiied using change factors (CFs) derived from regional climate model (RCM) projections (control and future) to simulate future 30-year scenarios centred on the 2020s, 2050s and 2080s. Changes between the control period and the three futures are illustrated not just by changes in average temperatures and precipitation amounts but also by a number of well-used measures of extremes (very warm days/nights, the heaviest 5-day precipitation total in a month, counts of the number of precipitation events above speciic thresholds and the number of consecutive dry days).


Publication metadata

Author(s): Jones PD, Harpham C, Burton A, Goodess CM

Publication type: Article

Publication status: Published

Journal: International Journal of Climatology

Year: 2016

Volume: 36

Issue: 12

Pages: 4141-4163

Print publication date: 01/10/2016

Online publication date: 05/02/2016

Acceptance date: 27/11/2015

Date deposited: 16/12/2015

ISSN (print): 0899-8418

ISSN (electronic): 1097-0088

Publisher: John Wiley & Sons, Inc.

URL: http://dx.doi.org/10.1002/joc.4624

DOI: 10.1002/joc.4624


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