TY - JOUR
T1 - Development of a 0.5° global monthly raining day product from 1901 to 2010
AU - Stillman, S.
AU - Zeng, X.
N1 - Funding Information:
This work was supported by NASA (NNX14AM02G), NSF (AGS-0944101), and the Agnese Nelms Haury Program in Environment and Social Justice. We thank Francina Dominguez, Guo-Yue Niu, Peter Troch, and two anonymous reviewers for their constructive and helpful comments and suggestions. We also thank various centers for making data available: CRU data at https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_3.23/, CMORPH data at ftp://ftp.cpc.ncep.noaa.gov/, GPCC data at http://www.esrl.noaa.gov/psd/data/gridded/data.gpcc.html, regional data over China at http://rcg.gvc.gu.se/data/ChinaPrecip/prepdata/, over South America at http://www.esrl.noaa.gov/psd/data/gridded/data.south_america_precip.html, and over CONUS at http://services.nacse.org/prism/data/public/4km/ppt.
Publisher Copyright:
©2016. American Geophysical Union. All Rights Reserved.
PY - 2016/9/28
Y1 - 2016/9/28
N2 - While several long-term global data sets of monthly precipitation amount (P) are widely available, only the Climate Research Unit (CRU) provides long-term global monthly raining day number (N) data (i.e., daily precipitation frequency in a month), with P/N representing the daily precipitation intensity. However, because CRU N is based on a limited number of gauges, it is found to perform poorly over data sparse regions. By combining the CRU method with a short-term gauge-satellite merged global daily precipitation data set (Climate Prediction Center morphing technique) and a global long-term monthly precipitation data set (Global Precipitation Climatology Centre) with far more gauges than used in CRU, a new 0.5° global N data set from 1901 to 2010 is developed, which differs significantly from CRU N. Compared with three independent regional daily precipitation products over the U.S., China, and South America based on much denser gauge networks than used in CRU, the new product shows significant improvement over CRU N.
AB - While several long-term global data sets of monthly precipitation amount (P) are widely available, only the Climate Research Unit (CRU) provides long-term global monthly raining day number (N) data (i.e., daily precipitation frequency in a month), with P/N representing the daily precipitation intensity. However, because CRU N is based on a limited number of gauges, it is found to perform poorly over data sparse regions. By combining the CRU method with a short-term gauge-satellite merged global daily precipitation data set (Climate Prediction Center morphing technique) and a global long-term monthly precipitation data set (Global Precipitation Climatology Centre) with far more gauges than used in CRU, a new 0.5° global N data set from 1901 to 2010 is developed, which differs significantly from CRU N. Compared with three independent regional daily precipitation products over the U.S., China, and South America based on much denser gauge networks than used in CRU, the new product shows significant improvement over CRU N.
KW - precipitation
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U2 - 10.1002/2016GL070244
DO - 10.1002/2016GL070244
M3 - Article
AN - SCOPUS:84990181706
SN - 0094-8276
VL - 43
SP - 9704
EP - 9711
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 18
ER -