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A general framework for understanding the response of the water cycle to global warming over land and ocean

dc.contributor.authorRoderick, Michael
dc.contributor.authorSun, Fubao
dc.contributor.authorLim, Wee Ho
dc.contributor.authorFarquhar, Graham
dc.date.accessioned2015-12-10T22:40:30Z
dc.date.issued2014
dc.date.updated2015-12-09T10:59:30Z
dc.description.abstractClimate models project increases in globally averaged atmospheric specific humidity that are close to the Clausius"Clapeyron (CC) value of around 7%K-1 whilst projections for mean annual global precipitation (P) and evaporation (E) are somewhat muted at around 2%K-1. Such global projections are useful summaries but do not provide guidance at local (grid box) scales where impacts occur. To bridge that gap in spatial scale, previous research has shown that the "wet get wetter and dry get drier" relation, Δ(P -E)αP -E, follows CC scaling when the projected changes are averaged over latitudinal zones. Much of the research on projected climate impacts has been based on an implicit assumption that this CC relation also holds at local (grid box) scales but this has not previously been examined. In this paper we find that the simple latitudinal average CC scaling relation does not hold at local (grid box) scales over either ocean or land. This means that in terms of P -E, the climate models do not project that the "wet get wetter and dry get drier" at the local scales that are relevant for agricultural, ecological and hydrologic impacts. In an attempt to develop a simple framework for local-scale analysis we found that the climate model output shows a remarkably close relation to the long-standing Budyko framework of catchment hydrology. We subsequently use the Budyko curve and find that the local-scale changes in P -E projected by climate models are dominated by changes in P while the changes in net irradiance at the surface due to greenhouse forcing are small and only play a minor role in changing the mean annual P -E in the climate model projections. To further understand the apparently small changes in net irradiance we also examine projections of key surface energy balance terms. In terms of global averages, we find that the climate model projections are dominated by changes in only three terms of the surface energy balance: (1) an increase in the incoming long-wave irradiance, and the respective responses (2) in outgoing longwave irradiance and (3) in the evaporative flux, with the latter change being much smaller than the former two terms and mostly restricted to the oceans. The small fraction of the realised surface forcing that is partitioned into E explains why the hydrologic sensitivity (2%K-1) is so much smaller than CC scaling (7%K -1). Much public and scientific perception about changes in the water cycle has been based on the notion that temperature enhances E. That notion is partly true but has proved an unfortunate starting point because it has led to misleading conclusions about the impacts of climate change on the water cycle. A better general understanding of the potential impacts of climate change on water availability that are projected by climate models will surely be gained by starting with the notion that the greater the enhancement of E, the less the surface temperature increase (and vice versa). That latter notion is based on the conservation of energy and is an underlying basis of climate model projections.
dc.identifier.issn1027-5606
dc.identifier.urihttp://hdl.handle.net/1885/57480
dc.publisherCopernicus GmbH
dc.rightsAuthor/s retain copyrighten_AU
dc.sourceHydrology and Earth System Sciences
dc.titleA general framework for understanding the response of the water cycle to global warming over land and ocean
dc.typeJournal article
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage1589
local.bibliographicCitation.startpage1575
local.contributor.affiliationRoderick, Michael, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationSun, Fubao, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationLim, Wee Ho, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationFarquhar, Graham, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidRoderick, Michael, u9613353
local.contributor.authoruidSun, Fubao, u4726055
local.contributor.authoruidLim, Wee Ho, u4462343
local.contributor.authoruidFarquhar, Graham, u7601091
local.description.notesImported from ARIES
local.identifier.absfor040104 - Climate Change Processes
local.identifier.absfor040608 - Surfacewater Hydrology
local.identifier.absseo960303 - Climate Change Models
local.identifier.ariespublicationu4956746xPUB402
local.identifier.citationvolume18
local.identifier.doi10.5194/hess-18-1575-2014
local.identifier.scopusID2-s2.0-84899995275
local.type.statusPublished Version

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