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contributor authorZhao, Ming
date accessioned2022-01-30T18:01:22Z
date available2022-01-30T18:01:22Z
date copyright9/16/2020 12:00:00 AM
date issued2020
identifier issn0894-8755
identifier otherjclid200241.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264364
description abstractA 50km resolution GFDL AM4 well captures many aspects of observed atmospheric river (AR) characteristics including the probability density functions of AR length, width, length-width ratio, geographical location, the magnitude and direction of AR mean vertically integrated vapor transport (IVT) with the model typically producing stronger and narrower ARs than the ERA-Interim reanalysis results. Despite significant regional biases, the model well reproduces the observed spatial distribution of AR frequency and their variability in response to large-scale circulation patterns such as the El Niño - Southern Oscillation (ENSO), the Northern/Southern hemisphere Annular Mode (NAM/SAM), and the Pacific North American (PNA) teleconnection pattern. For global warming scenarios, in contrast to most previous studies which show a large increase in AR length and width and therefore the occurrence frequency of AR conditions at a given location, this study shows only a modest increase in these quantities. However, the model produces a large increase in strong ARs with the frequency of Category 3-5 ARs rising by roughly 100-300%/K. The global mean AR intensity as well as AR intensity percentiles at most percent ranks increases by 5-8%/K, roughly consistent with the Clausius-Clapeyron scaling of water vapor. Finally, the results point out the importance of AR IVT thresholds in quantifying modeled AR response to global warming.
publisherAmerican Meteorological Society
titleSimulations of Atmospheric Rivers, Their Variability and Response to GlobalWarming Using GFDL’s New High Resolution General Circulation Model
typeJournal Paper
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-20-0241.1
journal fristpage1
journal lastpage46
treeJournal of Climate:;2020:;volume( ):;issue: -
contenttypeFulltext


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