Model Assessment of Observed Precipitation Trends over Land Regions: Detectable Human Influences and Possible Low Bias in Model TrendsSource: Journal of Climate:;2018:;volume 031:;issue 012::page 4617DOI: 10.1175/JCLI-D-17-0672.1Publisher: American Meteorological Society
Abstract: AbstractPrecipitation 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.
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contributor author | Knutson, Thomas R. | |
contributor author | Zeng, Fanrong | |
date accessioned | 2019-09-19T10:10:07Z | |
date available | 2019-09-19T10:10:07Z | |
date copyright | 3/12/2018 12:00:00 AM | |
date issued | 2018 | |
identifier other | jcli-d-17-0672.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4262302 | |
description abstract | AbstractPrecipitation 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. | |
publisher | American Meteorological Society | |
title | Model Assessment of Observed Precipitation Trends over Land Regions: Detectable Human Influences and Possible Low Bias in Model Trends | |
type | Journal Paper | |
journal volume | 31 | |
journal issue | 12 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-17-0672.1 | |
journal fristpage | 4617 | |
journal lastpage | 4637 | |
tree | Journal of Climate:;2018:;volume 031:;issue 012 | |
contenttype | Fulltext |