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Temporal and Spatial Variability of Precipitation from Observations and Models

Trammell, James H. and Jiang, Xun and Li, Liming and Kao, Angela and Zhang, Guang J. and Chang, Edmund K. M. and Yung, Yuk (2016) Temporal and Spatial Variability of Precipitation from Observations and Models. Journal of Climate, 29 (7). pp. 2543-2555. ISSN 0894-8755. https://resolver.caltech.edu/CaltechAUTHORS:20160425-115702237

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Abstract

Principal component analysis (PCA) is utilized to explore the temporal and spatial variability of precipitation from GPCP and a CAM5 simulation from 1979 to 2010. In the tropical region, the interannual variability of tropical precipitation is characterized by two dominant modes (El Niño and El Niño Modoki). The first and second modes of tropical GPCP precipitation capture 31.9% and 15.6% of the total variance, respectively. The first mode has positive precipitation anomalies over the western Pacific and negative precipitation anomalies over the central and eastern Pacific. The second mode has positive precipitation anomalies over the central Pacific and negative precipitation anomalies over the western and eastern Pacific. Similar variations are seen in the first two modes of tropical precipitation from a CAM5 simulation, although the magnitudes are slightly weaker than in the observations. Over the Northern Hemisphere (NH) high latitudes, the first mode, capturing 8.3% of the total variance of NH GPCP precipitation, is related to the northern annular mode (NAM). During the positive phase of NAM, there are negative precipitation anomalies over the Arctic and positive precipitation anomalies over the midlatitudes. Over the Southern Hemisphere (SH) high latitudes, the first mode, capturing 13.2% of the total variance of SH GPCP precipitation, is related to the southern annular mode (SAM). During the positive phase of the SAM, there are negative precipitation anomalies over the Antarctic and positive precipitation anomalies over the midlatitudes. The CAM5 precipitation simulation demonstrates similar results to those of the observations. However, they do not capture both the high precipitation anomalies over the northern Pacific Ocean or the position of the positive precipitation anomalies in the SH.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1175/JCLI-D-15-0325.1DOIArticle
http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-15-0325.1PublisherArticle
http://journals.ametsoc.org/doi/suppl/10.1175/JCLI-D-15-0325.1Related ItemSupplementary Material
ORCID:
AuthorORCID
Jiang, Xun0000-0001-8932-3807
Li, Liming0000-0002-5257-9849
Yung, Yuk0000-0002-4263-2562
Additional Information:© 2016 American Meteorological Society. Manuscript received 6 May 2015, in final form 23 January 2016. We thank two anonymous reviewers and the editor for helpful comments. XJ and YLY are supported by the OCO-2 project, NASA Grant NNX13AK34G NASA, and ROSES-2010 NEWS Grant NNX13AC04G. LL is supported by NASA ROSES Cassini Data Analysis Program.
Funders:
Funding AgencyGrant Number
OCO-2 ProjectUNSPECIFIED
NASANNX13AK34G
NASANNX13AC04G
Subject Keywords:Physical Meteorology and Climatology; Hydrology; Variability; Interannual variability
Issue or Number:7
Record Number:CaltechAUTHORS:20160425-115702237
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160425-115702237
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:66451
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:03 May 2016 03:05
Last Modified:09 Mar 2020 13:19

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