This study examined potential seasonal predictability of precipitation and 2-m temperature in the recent global reanalyses from 1979 to 2012. The reanalyses being investigated are R1, R2, ERA-40, JRA25, ERA-I, MERRA, CFSR and 20CR. When compared against Global Precipitation Climatology Project (GPCP) precipitation, ERA-I and CFSR provide the best estimates of potential predictability, MERRA, R1 and R2 overestimate predictability and ERA-40 and JRA25 are unrealistic in the tropics. Predictability estimates of 2-m temperature from 20CR, JRA25, R1, MERRA, CFSR and R2 exhibit better agreement with the reanalysis ensemble mean than ERA-40 and ERA-I, which identify less predictability.
%0 Journal Article
%1 Feng2014Examination
%A Feng, Xia
%A Houser, Paul
%D 2014
%I John Wiley & Sons, Ltd
%J Atmos. Sci. Lett.
%K temperature seasonal precip 20CR era reanalysis merra
%N 4
%P 266--274
%R 10.1002/asl2.498
%T An examination of potential seasonal predictability in recent reanalyses
%U http://dx.doi.org/10.1002/asl2.498
%V 15
%X This study examined potential seasonal predictability of precipitation and 2-m temperature in the recent global reanalyses from 1979 to 2012. The reanalyses being investigated are R1, R2, ERA-40, JRA25, ERA-I, MERRA, CFSR and 20CR. When compared against Global Precipitation Climatology Project (GPCP) precipitation, ERA-I and CFSR provide the best estimates of potential predictability, MERRA, R1 and R2 overestimate predictability and ERA-40 and JRA25 are unrealistic in the tropics. Predictability estimates of 2-m temperature from 20CR, JRA25, R1, MERRA, CFSR and R2 exhibit better agreement with the reanalysis ensemble mean than ERA-40 and ERA-I, which identify less predictability.
@article{Feng2014Examination,
abstract = {This study examined potential seasonal predictability of precipitation and 2-m temperature in the recent global reanalyses from 1979 to 2012. The reanalyses being investigated are R1, R2, ERA-40, JRA25, ERA-I, MERRA, CFSR and 20CR. When compared against Global Precipitation Climatology Project (GPCP) precipitation, ERA-I and CFSR provide the best estimates of potential predictability, MERRA, R1 and R2 overestimate predictability and ERA-40 and JRA25 are unrealistic in the tropics. Predictability estimates of 2-m temperature from 20CR, JRA25, R1, MERRA, CFSR and R2 exhibit better agreement with the reanalysis ensemble mean than ERA-40 and ERA-I, which identify less predictability.},
added-at = {2018-06-18T21:23:34.000+0200},
author = {Feng, Xia and Houser, Paul},
biburl = {https://www.bibsonomy.org/bibtex/2b0d446df75505c25c8e4150ed22bdb8c/pbett},
citeulike-article-id = {13122079},
citeulike-linkout-0 = {http://dx.doi.org/10.1002/asl2.498},
day = 1,
doi = {10.1002/asl2.498},
interhash = {50dbf23700886e238aefada79db989dd},
intrahash = {b0d446df75505c25c8e4150ed22bdb8c},
journal = {Atmos. Sci. Lett.},
keywords = {temperature seasonal precip 20CR era reanalysis merra},
month = oct,
number = 4,
pages = {266--274},
posted-at = {2014-03-31 21:18:39},
priority = {2},
publisher = {John Wiley \& Sons, Ltd},
timestamp = {2018-06-22T18:34:09.000+0200},
title = {An examination of potential seasonal predictability in recent reanalyses},
url = {http://dx.doi.org/10.1002/asl2.498},
volume = 15,
year = 2014
}