Articles | Volume 20, issue 2
Hydrol. Earth Syst. Sci., 20, 651–658, 2016
https://doi.org/10.5194/hess-20-651-2016
Hydrol. Earth Syst. Sci., 20, 651–658, 2016
https://doi.org/10.5194/hess-20-651-2016
Research article
09 Feb 2016
Research article | 09 Feb 2016

Uncertainties in calculating precipitation climatology in East Asia

J. Kim and S. K. Park

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Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–Present), J. Hydrometeorol., 4, 1147–1167, 2003.
Covey, C., AchutaRao, K., Cubasch, U., Jones, P., Lambert, S., Mann, M., Phillips, T., and Taylor, K.: An overview of results from the Coupled Model Intercomparison Project, Global Planet. Change, 37, 103–133, 2003.
Duan, Q. and Phillips, T.: Beysian estimation of local signal and noise in multimodel simulations of climate change, J. Geophys. Res., 115, D18123, https://doi.org/10.1029/2009JD013654, 2010.
Duffy, P., Aritt, R. W., Coquard, J., Gutowski, W., Han, J., Iorio, J., Kim, J., Leung, L.-R., Roads, J., and Zeledon, E.: Simulations of present and future climates in the western United States with four nested regional climate models, J. Climate, 19, 873–895, 2006.
Giorgi, F. and Mearns, L.: Calculation of average, uncertainty range and reliability of regional climate changes from AOGCMs via the Reliability Ensemble Averaging (REA) method, J. Climate, 15, 1141–1158, 2002.
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Short summary
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.