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Article

The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation

1
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
2
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
3
SSAI, Lanham, MD 20706, USA
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Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, VA 22030, USA
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Global Precipitation Climatology Centre, Deutscher Wetterdienst, 63067 Offenbach am Main, Germany
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NOAA Climate Prediction Centre, National Weather Service, College Park, MD 20740, USA
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NOAA National Environmental Satellite, Data, and Information Service, College Park, MD 20740, USA
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Department of Atmospheric Sciences, Yonsei University, Seoul 03722, Korea
*
Author to whom correspondence should be addressed.
Atmosphere 2018, 9(4), 138; https://doi.org/10.3390/atmos9040138
Received: 15 March 2018 / Revised: 2 April 2018 / Accepted: 4 April 2018 / Published: 7 April 2018
(This article belongs to the Section Meteorology)
The new Version 2.3 of the Global Precipitation Climatology Project (GPCP) Monthly analysis is described in terms of changes made to improve the homogeneity of the product, especially after 2002. These changes include corrections to cross-calibration of satellite data inputs and updates to the gauge analysis. Over-ocean changes starting in 2003 resulted in an overall precipitation increase of 1.8% after 2009. Updating the gauge analysis to its final, high-quality version increases the global land total by 1.8% for the post-2002 period. These changes correct a small, incorrect dip in the estimated global precipitation over the last decade given by the earlier Version 2.2. The GPCP analysis is also used to describe global precipitation in 2017. The general La Niña pattern for 2017 is noted and the evolution from the early 2016 El Niño pattern is described. The 2017 global value is one of the highest for the 1979–2017 period, exceeded only by 2016 and 1998 (both El Niño years), and reinforces the small positive trend. Results for 2017 also reinforce significant trends in precipitation intensity (on a monthly scale) in the tropics. These results for 2017 indicate the value of the GPCP analysis, in addition to research, for climate monitoring. View Full-Text
Keywords: global precipitation; climate monitoring; Climate Data Record global precipitation; climate monitoring; Climate Data Record
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MDPI and ACS Style

Adler, R.F.; Sapiano, M.R.P.; Huffman, G.J.; Wang, J.-J.; Gu, G.; Bolvin, D.; Chiu, L.; Schneider, U.; Becker, A.; Nelkin, E.; Xie, P.; Ferraro, R.; Shin, D.-B. The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation. Atmosphere 2018, 9, 138. https://doi.org/10.3390/atmos9040138

AMA Style

Adler RF, Sapiano MRP, Huffman GJ, Wang J-J, Gu G, Bolvin D, Chiu L, Schneider U, Becker A, Nelkin E, Xie P, Ferraro R, Shin D-B. The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation. Atmosphere. 2018; 9(4):138. https://doi.org/10.3390/atmos9040138

Chicago/Turabian Style

Adler, Robert F.; Sapiano, Mathew R.P.; Huffman, George J.; Wang, Jian-Jian; Gu, Guojun; Bolvin, David; Chiu, Long; Schneider, Udo; Becker, Andreas; Nelkin, Eric; Xie, Pingping; Ferraro, Ralph; Shin, Dong-Bin. 2018. "The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation" Atmosphere 9, no. 4: 138. https://doi.org/10.3390/atmos9040138

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