jra25-references

Submitted by Cathy.Smith@noaa.gov on Tue, 08/24/2010 - 09:19
  1. Onogi, K., J. Tsutsui, H. Koide, M. Sakamoto, S. Kobayashi, H. Hatsushika, T. Matsumoto, N. Yamazaki, H. Kamahori, K. Takahashi, S. Kadokura, K. Wada, K. Kato, R. Oyama, T. Ose, N. Mannoji and R. Taira (2007) : The JRA-25 Reanalysis. J. Meteor. Soc. Japan, 85, 369-432. The paper is a comprehensive report of JRA-25 reanalysis as a standard reference.
  2. Onogi, K., H. Koide, M. Sakamoto, S. Kobayashi, J. Tsutsui, H. Hatsushika, T. Matsumoto, N. Yamazaki, H. Kamahori, K. Takahashi, K. Kato, T. Ose, S. Kadokura and K. Wada 2005: JRA-25; Japanese 25-year Reanalysis --- progress and status ---. Quart. J. R. Meteorol. Soc., 131, 3259-3268. This is a brief report of JRA-25 for the special issue of the 4th WMO International Symposium on Assimilation of Observations in Meteorology and Oceanography, held in Prague, April 2005.
  3. Hatsushika, H., J.Tsutsui, M.Fiorino, K.Onogi (2006) : Impact of wind profile retrievals on the analysis of tropical cyclones in the JRA-25 reanalysis. J. Meteor. Soc. Japan, 84, 891-905.
  4. Takahashi, K., N.Yamazaki, H.Kamahori (2006) : Trends of Heavy Precipitation Events in Global Observation and Reanalysis Datasets. SOLA, 2, 96-99, doi:10.2151/sola.2006-025.
  5. Watarai, Y., H. L. Tanaka (2007) : Characteristics of the JRA-25 Dataset from the Viewpoint of Global Energetics. SOLA, 3, 9-12, doi:10.2151/sola.2007-003. Ito, A. 2006. Simulation of global terrestrial carbon cycle using the JRA-25 reanalysis as forcing data. SOLA 2:148-151.
  6. Tosiyuki Nakaegwa: Reproducibility of the seasonal cycles of land-surface hydrological variables in Japanese 25-year Reanalysis, Hydrological Research Letters, Vol. 2, pp.56-60, (2008). Japanese 25-year Reanalysis Plan This is a execution plan of JRA-25 project that was forged before implementation of the project. The actual JRA-25 project differs slightly from this plan.

Dear zhugf, I suggest you use JRA-55 or one of the other newer reanalyses, though precipitation in general is difficult for most reanalysis systems and should be consider less reliable than a variable that is assimilated, such as temperature or wind. See the list of reanalyses and links to data access for each at http://reanalyses.org/atmosphere/overview-current-reanalyses. A quick plotter for several datasets can be found at the Web-based reanalysis intercomparison tool https://reanalyses.org/atmosphere/writ. See a list of other tools that may be useful at https://reanalyses.org/atmosphere/tools, and a list of data access possibilities from many different sites at https://reanalyses.org/atmosphere/how-obtainplotanalyze-data. best wishes,

Add new comment