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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 20, issue 2
Hydrol. Earth Syst. Sci., 20, 651–658, 2016
https://doi.org/10.5194/hess-20-651-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 651–658, 2016
https://doi.org/10.5194/hess-20-651-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Feb 2016

Research article | 09 Feb 2016

Uncertainties in calculating precipitation climatology in East Asia

J. Kim1,2 and S. K. Park3,4,5,6 J. Kim and S. K. Park
  • 1Joint Institute for Regional Earth System Science and Engineering, UCLA, Los Angeles, CA, USA
  • 2Department of Atmospheric and Oceanic Sciences, UCLA, Los Angeles, CA, USA
  • 3Department of Environmental Science and Engineering, Ewha Womans University, Seoul, South Korea
  • 4Department of Atmospheric Science and Engineering, Ewha Womans University, Seoul, South Korea
  • 5Severe Storm Research Center, Ewha Womans University, Seoul, South Korea
  • 6Center for Climate/Environment Change Prediction Research, Ewha Womans University, Seoul, South Korea

Abstract. This study examines the uncertainty in calculating the fundamental climatological characteristics of precipitation in the East Asia region from multiple fine-resolution gridded analysis data sets based on in situ rain gauge observations and data assimilations. Five observation-based gridded precipitation data sets are used to derive the long-term means, standard deviations in lieu of interannual variability and linear trends over the 28-year period from 1980 to 2007. Both the annual and summer (June–July–August) mean precipitation is examined. The agreement amongst these precipitation data sets is examined using two metrics including the signal-to-noise ratio (SNR) defined as the ratio between long-term means and the corresponding standard deviations, and Taylor diagrams, which allow examinations of the pattern correlation, the standard deviation, and the centered root mean square error. It is found that the five gauge-based precipitation analysis data sets agree well in the long-term mean and interannual variability in most of the East Asia region including eastern China, Manchuria, South Korea, and Japan, which are densely populated and have fairly high-density observation networks. The regions of large inter-data-set variations include Tibetan Plateau, Mongolia, northern Indo-China, and North Korea. The regions of large uncertainties are typically lightly populated and are characterized by severe terrain and/or extremely high elevations. Unlike the long-term mean and interannual variability, agreement between data sets in the linear trend is weak, both for the annual and summer mean values. In most of the East Asia region, the SNR for the linear trend is below 0.5: the inter-data-set variability exceeds the multi-data ensemble mean. The uncertainty in the spatial distribution of long-term means among these data sets occurs both in the spatial pattern and variability, but the uncertainty for the interannual variability and time trend is much larger in the variability than in the pattern correlation. Thus, care must be taken in using long-term trends calculated from gridded precipitation analysis data for climate studies over the East Asia region.

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This study examined the uncertainty in climatological precipitation in East Asia, calculated from five gridded analysis data sets based on in situ rain gauge observations from 1980 to 2007. It is found that the regions of large uncertainties are typically lightly populated and are characterized by severe terrain and/or very high elevations. Thus, care must be taken in using long-term trends calculated from gridded precipitation analysis data for climate studies over such regions in East Asia.
This study examined the uncertainty in climatological precipitation in East Asia, calculated...
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