Downscaling reveals diverse effects of anthropogenic climate warming on the potential for local environments to support malaria transmission

Krijn P. Paaijmans, Justine I. Blanford, Robert G. Crane, Michael E. Mann, Liang Ning, Kathleen V. Schreiber, Matthew B. Thomas

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The potential impact of climate warming on patterns of malaria transmission has been the subject of keen scientific and policy debate. Standard climate models (GCMs) characterize climate change at relatively coarse spatial and temporal scales. However, malaria parasites and the mosquito vectors respond to diurnal variations in conditions at very local scales. Here we bridge this gap by downscaling a series of GCMs to provide high-resolution temperature data for four different sites and show that although outputs from both the GCM and the downscaled models predict diverse but qualitatively similar effects of warming on the potential for adult mosquitoes to transmit malaria, the predicted magnitude of change differs markedly between the different model approaches. Raw GCM model outputs underestimate the effects of climate warming at both hot (3-fold) and cold (8-12 fold) extremes, and overestimate (3-fold) the change under intermediate conditions. Thus, downscaling could add important insights to the standard application of coarse-scale GCMs for biophysical processes driven strongly by local microclimatic conditions.

Original languageEnglish (US)
Pages (from-to)479-488
Number of pages10
JournalClimatic Change
Volume125
Issue number3-4
DOIs
StatePublished - Aug 2014

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malaria
downscaling
general circulation model
warming
climate
fold
mosquito
diurnal variation
climate modeling
parasite
effect
climate change
temperature

All Science Journal Classification (ASJC) codes

  • Global and Planetary Change
  • Atmospheric Science

Cite this

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abstract = "The potential impact of climate warming on patterns of malaria transmission has been the subject of keen scientific and policy debate. Standard climate models (GCMs) characterize climate change at relatively coarse spatial and temporal scales. However, malaria parasites and the mosquito vectors respond to diurnal variations in conditions at very local scales. Here we bridge this gap by downscaling a series of GCMs to provide high-resolution temperature data for four different sites and show that although outputs from both the GCM and the downscaled models predict diverse but qualitatively similar effects of warming on the potential for adult mosquitoes to transmit malaria, the predicted magnitude of change differs markedly between the different model approaches. Raw GCM model outputs underestimate the effects of climate warming at both hot (3-fold) and cold (8-12 fold) extremes, and overestimate (3-fold) the change under intermediate conditions. Thus, downscaling could add important insights to the standard application of coarse-scale GCMs for biophysical processes driven strongly by local microclimatic conditions.",
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Downscaling reveals diverse effects of anthropogenic climate warming on the potential for local environments to support malaria transmission. / Paaijmans, Krijn P.; Blanford, Justine I.; Crane, Robert G.; Mann, Michael E.; Ning, Liang; Schreiber, Kathleen V.; Thomas, Matthew B.

In: Climatic Change, Vol. 125, No. 3-4, 08.2014, p. 479-488.

Research output: Contribution to journalArticle

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