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Land-atmosphere feedbacks reduce evaporative demand in a warming climate: implications at local and global scales
  • Yeonuk Kim,
  • Monica Garcia,
  • Mark Johnson
Yeonuk Kim
University of British Columbia

Corresponding Author:[email protected]

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Monica Garcia
Universidad Politecnica de Madrid
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Mark Johnson
University of British Columbia
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Abstract

The magnitude and extent of runoff reduction, drought intensification, and dryland expansion under climate change are unclear and contentious. A primary reason is disagreement between global circulation models and current potential evaporation (PE) models for evaporative demand under warming climatic conditions. An emerging body of research suggests that current PE models including Penman-Monteith and Priestley-Taylor may overestimate future evaporative demand. However, they are still widely used for climatic impact analysis although the underlying physical mechanisms for PE projections remain unclear. Here, we show that current PE models diverge from observed non-water-stressed evaporation, a proxy of evaporative demand, across site (>1500 flux tower site years), watershed (>10,000 watershed-years), and global (25 climate models) scales. By not incorporating land-atmosphere feedback processes, current models overestimate non-water-stressed evaporation and its driving factors for warmer and drier conditions. To resolve this, we introduce a land-atmosphere coupled PE model that accurately reproduces non-water-stressed evaporation across spatiotemporal scales. We demonstrate that terrestrial evaporative demand will increase at a similar rate to ocean evaporation, but much slower than rates suggested by current PE models. This finding suggests that land-atmosphere feedbacks moderate continental drying trends. Budyko-based runoff projections incorporating our PE model are well aligned with those from coupled climate simulations, implying that land-atmosphere feedbacks are key to improving predictions of climatic impacts on water resources. Our approach provides a simple and robust way to incorporate coupled land-atmosphere processes into water management tools.