North American climate in CMIP5 experiments. Part II: evaluation of historical simulations of intraseasonal to decadal variability Sheffield, Justin Camargo, Suzana J. Fu, Rong Hu, Qi Jiang, Xianan Johnson, Nathaniel Karnauskas, Kristopher B. Kim, Seon Tae Kinter, Jim Kumar, Sanjiv Langenbrunner, Baird Maloney, Eric Mariotti, Annarita Meyerson, Joyce E. Neelin, J. David Nigam, Sumant Pan, Zaitao Ruiz-Barradas, Alfredo Seager, Richard Serra, Yolande L. Sun, De-Zheng Wang, Chunzai Xie, Shang-Ping Yu, Jin-Yi Zhang, Tao Zhao, Ming 2013-12-30T17:07:20Z 2014-10-22T08:57:20Z 2013-12-01
dc.description Author Posting. © American Meteorological Society, 2013. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 26 (2013): 9247–9290, doi:10.1175/JCLI-D-12-00593.1. en_US
dc.description.abstract This is the second part of a three-part paper on North American climate in phase 5 of the Coupled Model Intercomparison Project (CMIP5) that evaluates the twentieth-century simulations of intraseasonal to multidecadal variability and teleconnections with North American climate. Overall, the multimodel ensemble does reasonably well at reproducing observed variability in several aspects, but it does less well at capturing observed teleconnections, with implications for future projections examined in part three of this paper. In terms of intraseasonal variability, almost half of the models examined can reproduce observed variability in the eastern Pacific and most models capture the midsummer drought over Central America. The multimodel mean replicates the density of traveling tropical synoptic-scale disturbances but with large spread among the models. On the other hand, the coarse resolution of the models means that tropical cyclone frequencies are underpredicted in the Atlantic and eastern North Pacific. The frequency and mean amplitude of ENSO are generally well reproduced, although teleconnections with North American climate are widely varying among models and only a few models can reproduce the east and central Pacific types of ENSO and connections with U.S. winter temperatures. The models capture the spatial pattern of Pacific decadal oscillation (PDO) variability and its influence on continental temperature and West Coast precipitation but less well for the wintertime precipitation. The spatial representation of the Atlantic multidecadal oscillation (AMO) is reasonable, but the magnitude of SST anomalies and teleconnections are poorly reproduced. Multidecadal trends such as the warming hole over the central–southeastern United States and precipitation increases are not replicated by the models, suggesting that observed changes are linked to natural variability. en_US
dc.description.embargo 2014-06-01 en_US
dc.description.sponsorship The authors acknowledge the support of NOAA/Climate Program Office/Modeling, Analysis, Predictions and Projections (MAPP) program as part of the CMIP5 Task Force. en_US
dc.format.mimetype application/pdf
dc.identifier.citation Journal of Climate 26 (2013): 9247–9290 en_US
dc.identifier.doi 10.1175/JCLI-D-12-00593.1
dc.language.iso en_US en_US
dc.publisher American Meteorological Society en_US
dc.subject North America en_US
dc.subject Regional effects en_US
dc.subject Coupled models en_US
dc.subject Decadal variability en_US
dc.subject Interannual variability en_US
dc.subject Intraseasonal variability en_US
dc.title North American climate in CMIP5 experiments. Part II: evaluation of historical simulations of intraseasonal to decadal variability en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication 61cc7681-2c53-423b-9d02-cfa3886f2568
relation.isAuthorOfPublication 109a0c3c-c7dd-471d-aad3-0af84a87777c
relation.isAuthorOfPublication 212a5b33-7a8a-4426-971e-63d856f4606d
relation.isAuthorOfPublication e3f8c9be-2cda-4ad0-a015-47251f7da102
relation.isAuthorOfPublication b1c8246c-9aa8-4b54-9952-5213023803ad
relation.isAuthorOfPublication a8af7a64-df46-40a2-b3b9-fc3fdd3b25e8
relation.isAuthorOfPublication b191abeb-9b58-4b46-99d1-6a5e841a7c61
relation.isAuthorOfPublication ad8188c8-ad86-49c1-a8f4-b4f6f3a123dd
relation.isAuthorOfPublication 3caf72dc-d528-4d27-87b4-306b2f34bcb9
relation.isAuthorOfPublication 4c748fa1-06b7-4134-9eb0-a9198c2e91fb
relation.isAuthorOfPublication 77ccc0ba-5cea-4537-a081-016630724271
relation.isAuthorOfPublication 8859d221-5d0f-4e5c-8f57-a6019e7671ca
relation.isAuthorOfPublication ba76dc36-ce51-40e9-983b-1a47fe16e57a
relation.isAuthorOfPublication d3e5fcf9-20d8-417c-8a61-c253a08cc40d
relation.isAuthorOfPublication adbca5f1-1cbe-4644-8202-ce6d85c6a3f0
relation.isAuthorOfPublication 096993c8-4d0b-4ea5-a4c9-539bab484141
relation.isAuthorOfPublication c5ae637c-2f95-4d8f-905e-a84717ee84f2
relation.isAuthorOfPublication 455c4c14-921e-4578-9d53-09e19a562ebf
relation.isAuthorOfPublication 4c23e72f-b1d0-493e-82c7-4b96dac5c861
relation.isAuthorOfPublication 3a478e3d-4567-48d4-b273-ad2a3ff088df
relation.isAuthorOfPublication 71f89de3-7c13-4b6c-a717-73ef9fe7eca2
relation.isAuthorOfPublication 0ba75e3e-7025-4742-a632-29f3fbc4032d
relation.isAuthorOfPublication 78dc0628-5f2e-456f-aa84-a847a7860af8
relation.isAuthorOfPublication b9cddaaf-897e-4825-af80-8ea697d700e4
relation.isAuthorOfPublication b7ce339f-cdda-4107-8fb5-183d2c4024fd
relation.isAuthorOfPublication 509dd29c-96d0-45b6-ac80-1f5aa16d0f9e
relation.isAuthorOfPublication.latestForDiscovery 61cc7681-2c53-423b-9d02-cfa3886f2568
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
10.74 MB
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
1.89 KB
Item-specific license agreed upon to submission