dc.contributor.author | Lambert, FH | |
dc.contributor.author | Ferraro, AJ | |
dc.contributor.author | Chadwick, R | |
dc.date.accessioned | 2017-02-28T15:16:13Z | |
dc.date.issued | 2017-03-08 | |
dc.description.abstract | A compositing scheme that predicts changes in tropical precipitation under
climate change from changes in near-surface relative humidity (RH) and
temperature is presented. As shown by earlier work, regions of high tropical
precipitation in general circulation models (GCMs) are associated with high
near-surface RH and temperature. Under climate change, we find that high
precipitation continues to be associated with the highest surface RH and temperatures
in most CMIP5 GCMs, meaning that it is the “rank” of a given GCM
gridbox with respect to others that determines how much precipitation falls
rather than the absolute value of surface temperature or RH change, consistent
with the weak temperature gradient approximation. Further, we demonstrate
that the majority of CMIP5 GCMs are close to a threshold near which
reductions in land RH produce large reductions in the RH-ranking of some
land regions, causing reductions in precipitation over land, particularly South
America, and compensating increases over ocean. Recent work on predicting
future changes in specific humidity allows us to predict the qualitative sense of
precipitation change in some GCMs when land surface humidity changes are
unknown. However, the magnitudes of predicted changes are too small. Further
study, perhaps into the role of radiative and land-atmosphere feedbacks
that we neglect, is necessary. | en_GB |
dc.description.sponsorship | We are grateful to Richard Allan, whose suggestions substantially improved
results. We acknowledge the World Climate Research Programmes Working Group on Coupled
Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in
Table 1) for producing and making available their model output. For CMIP the U.S. Department of
Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating sup-
port and led development of software infrastructure in partnership with the Global Organization
for Earth System Science Portals. We thank the JASMIN and CEDA team for making available the
JASMIN computing resource (Lawrence et al. 2013). FHL was part supported by the UK-China
Research & Innovation Partnership Fund through the Met Office Climate Science for Service Part-
nership (CSSP) China as part of the Newton Fund; AJF was supported by the NERC PROBEC
project NE/K016016/1; RC was supported by the Newton Fund through the Met Office CSSP
Brazil | en_GB |
dc.identifier.citation | Vol. 30 No. 12, June 2017, pp. 4527–4545 | en_GB |
dc.identifier.doi | 10.1175/JCLI-D-16-0649.1 | |
dc.identifier.uri | http://hdl.handle.net/10871/26137 | |
dc.language.iso | en | en_GB |
dc.publisher | American Meteorological Society | en_GB |
dc.rights.embargoreason | Publisher's policy. | en_GB |
dc.rights | © 2017 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses). | |
dc.title | Land-ocean shifts in tropical precipitation linked to surface temperature and humidity change | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 0894-8755 | |
dc.description | This is the final version of the article. Available from American Meteorological Society via the DOI in this record. | |
dc.identifier.journal | Journal of Climate | en_GB |