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JRA55 reanalysis 3-hour data set (1958-2022) in the upper Yangtze and southwest regions, including air temperature, atmospheric heating, atmospheric stability, brightness temperature, canopy characteristics, cloud frequency, cloud liquid water/ice, evapotranspiration, geopotential height Gravity waves, heat flux, humidity, hydrostatic pressure, surface temperature, land use/land cover classification, longwave radiation, maximum/minimum temperature, potential temperature, precipitation, precipitation rate runoff, sea level pressure, shortwave radiation, snow depth, Soil moisture/water content, soil temperature, flow function, surface pressure, surface roughness, surface wind, total precipitable water, tropospheric ozone, high-air temperature, upper-level wind, etc. The data is in NETCDF format with a temporal resolution of 3 hours and a horizontal spatial resolution of 1.25°. It can provide data for the study of land surface processes in the upper reaches of the Yangtze River and the southwest.

This dataset was generated by reprocessing the terrestrial portion of the National Center for Atmospheric Research's JRA55 climate reanalysis. Reanalysis uses the laws of physics to combine model data with observations from around the world into a global complete dataset that accurately describes past climate.

File naming and required software

fcst_ phyland125.090_ rof.1958010100_ one billion nine hundred and fifty-eight million one hundred and twenty-three thousand one hundred and twenty-one
fcst_ phyland125：Land surface average diagnostic fields； 090: Water run off Unit: mm day-1; Date: 1958010100_ one billion nine hundred and fifty-eight million one hundred and twenty-three thousand one hundred and twenty-one
After converting the nc format, you can open it with NetCDF (Unidata)

Data Citations Data citation guideline What's data citation?

JMA The Japan Meteorological Agency . (2022). 英文标题：JRA55 Reanalysis 3-Hour Dataset in Upper Yangtze and Southwest Regions (1958-2022). Upper Yangtze River Scientific Data Center, (Download the reference：

1. Chen, G., T. Iwasaki, H. Qin, and W. Sha, 2014: Evaluation of the Warm-Season Diurnal Variability over East Asia in Recent Reanalyses JRA-55, ERA-Interim, NCEP CFSR, and NASA MERRA J. Climate, 27(14), 5517-5537 (DOI: 10.1175/JCLI-D-14-00005.1).( View Details | Bibtex)

2. 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. Met. Soc. Jap., 85(3), 369-432 (DOI: 10.2151/jmsj.85.369).( View Details | Bibtex)

3. Kobayashi, S., Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi, 2015: The JRA-55 Reanalysis: General Specifications and Basic Characteristics J. Met. Soc. Jap., 93(1), 5-48 (DOI: 10.2151/jmsj.2015-001).( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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