| contributor author | Jesse Norris | |
| contributor author | Alex Hall | |
| contributor author | Chad W. Thackeray | |
| contributor author | Di Chen | |
| contributor author | Gavin D. Madakumbura | |
| date accessioned | 2023-04-12T18:41:08Z | |
| date available | 2023-04-12T18:41:08Z | |
| date copyright | 2022/10/14 | |
| date issued | 2022 | |
| identifier other | JCLI-D-21-0842.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4290068 | |
| description abstract | Large uncertainty exists in hydrologic sensitivity (HS), the global-mean precipitation increase per degree of warming, across global climate model (GCM) ensembles. Meanwhile, the global circulation and hence global precipitation are sensitive to variations of surface temperature under internal variability. El Niño–Southern Oscillation (ENSO) is the most dominant mode of global temperature variability and hence of precipitation variability. Here we show in phase 6 of the Coupled Model Intercomparison Project (CMIP6) that the strength of HS under ENSO is predictive of HS in the climate change context ( | |
| publisher | American Meteorological Society | |
| title | Evaluating Hydrologic Sensitivity in CMIP6 Models: Anthropogenic Forcing versus ENSO | |
| type | Journal Paper | |
| journal volume | 35 | |
| journal issue | 21 | |
| journal title | Journal of Climate | |
| identifier doi | 10.1175/JCLI-D-21-0842.1 | |
| journal fristpage | 3355 | |
| journal lastpage | 3368 | |
| page | 3355–3368 | |
| tree | Journal of Climate:;2022:;volume( 035 ):;issue: 021 | |
| contenttype | Fulltext | |
