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contributor authorKnutson, Thomas R.
contributor authorZeng, Fanrong
date accessioned2019-09-19T10:10:07Z
date available2019-09-19T10:10:07Z
date copyright3/12/2018 12:00:00 AM
date issued2018
identifier otherjcli-d-17-0672.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262302
description abstractAbstractPrecipitation trends for 1901?2010, 1951?2010, and 1981?2010 over relatively well-observed global land regions are assessed for detectable anthropogenic influences and for consistency with historical simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5). The CMIP5 historical all-forcing runs are broadly consistent with the observed trend pattern (1901?2010), but with an apparent low trend bias tendency in the simulations. Despite this bias, observed and modeled trends are statistically consistent over 59% of the analyzed area. Over 20% (9%) of the analyzed area, increased (decreased) precipitation is partly attributable to anthropogenic forcing. These inferred human-induced changes include increases over regions of the north-central United States, southern Canada, Europe, and southern South America and decreases over parts of the Mediterranean region and northern tropical Africa. Trends for the shorter periods (1951?2010 and 1981?2010) do not indicate a prominent low trend bias in the models, as found for the 1901?2010 trends. An atmosphere-only model, forced with observed sea surface temperatures and other climate forcing agents, also underpredicts the observed precipitation increase in the Northern Hemisphere extratropics since 1901. The CMIP5 all-forcing ensemble?s low bias in simulated trends since 1901 is a tentative finding that, if borne out in further studies, suggests that precipitation projections using these regions and models could overestimate future drought risk and underestimate future flooding risk, assuming all other factors equal.
publisherAmerican Meteorological Society
titleModel Assessment of Observed Precipitation Trends over Land Regions: Detectable Human Influences and Possible Low Bias in Model Trends
typeJournal Paper
journal volume31
journal issue12
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-17-0672.1
journal fristpage4617
journal lastpage4637
treeJournal of Climate:;2018:;volume 031:;issue 012
contenttypeFulltext


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