JMA is currently conducting the Japanese Reanalysis for Three Quarters of a Century (JRA-3Q), which covers the period from September 1947 onward to extend the current period of data coverage and improve the quality of long-term reanalysis. The project involves a sophisticated data assimilation system (based on the operational set-up as of December 2018) incorporating development results from the operational NWP system and sea surface temperature analysis achieved since JRA-55 (based on the operational set-up as of December 2009). New datasets of past observations are also assimilated, including rescued historical observations and reprocessed satellite data supplied by meteorological and satellite centers worldwide. Many of the deficiencies of JRA-55 are alleviated in JRA-3Q, providing a high-quality homogeneous reanalysis dataset that covers the previous 75 years.
Temporal Range:
2023-12-09 00:00 +0000 to 2024-11-21 00:00 +0000
(Entire dataset)
Period details by dataset productPeriod details by dataset product2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time isentropic analysis fields (anl_isentrop) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time isentropic analysis fields (anl_isentrop125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time isobaric analysis fields (anl_p) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time isobaric analysis fields (anl_p125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-21 00:00 +0000 (JRA-3Q near real-time isobaric average diagnostic fields (fcst_phyp125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 21:00 +0000 (JRA-3Q near real-time isobaric forecast fields (fcst_p) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 21:00 +0000 (JRA-3Q near real-time isobaric forecast fields (fcst_p125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time land surface analysis fields (anl_land) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time land surface analysis fields (anl_land125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-21 00:00 +0000 (JRA-3Q near real-time land surface average diagnostic fields (fcst_phyland) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-21 00:00 +0000 (JRA-3Q near real-time land surface average diagnostic fields (fcst_phyland125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 23:00 +0000 (JRA-3Q near real-time land surface forecast fields (fcst_land) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 23:00 +0000 (JRA-3Q near real-time land surface forecast fields (fcst_land125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time model level analysis fields (anl_mdl) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-21 00:00 +0000 (JRA-3Q near real-time model level average diagnostic fields (fcst_phy3m) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 21:00 +0000 (JRA-3Q near real-time model level forecast fields (fcst_mdl) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 23:00 +0000 (JRA-3Q near real-time ocean surface boundary conditions (bnd_ocean) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 23:00 +0000 (JRA-3Q near real-time ocean surface boundary conditions (bnd_ocean125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time snow analysis fields (anl_snwlev) [GRIB2])2023-12-09 18:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time snow depth analysis fields (anl_snow) [GRIB2])2023-12-09 18:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time snow depth analysis fields (anl_snow125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 23:00 +0000 (JRA-3Q near real-time snow forecast fields (fcst_snowlev) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time surface analysis fields (anl_surf) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 18:00 +0000 (JRA-3Q near real-time surface analysis fields (anl_surf125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-21 00:00 +0000 (JRA-3Q near real-time two-dimensional average diagnostic fields (fcst_phy2m) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-21 00:00 +0000 (JRA-3Q near real-time two-dimensional average diagnostic fields (fcst_phy2m125) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-21 00:00 +0000 (JRA-3Q near real-time two-dimensional extreme fields (minmax_surf) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 23:00 +0000 (JRA-3Q near real-time two-dimensional instantaneous diagnostic fields (fcst_surf) [GRIB2])2023-12-09 00:00 +0000 to 2024-11-20 23:00 +0000 (JRA-3Q near real-time two-dimensional instantaneous diagnostic fields (fcst_surf125) [GRIB2])
Longitude Range: Westernmost=180W Easternmost=180E
Latitude Range: Southernmost=90S Northernmost=90N
Detailed coverage informationDetailed coverage information-360° x ~0.375° from 0E to 720E and 89.713N to 89.713S (reduced n240 Longitude/Gaussian Latitude)1.25° x 1.25° from 0E to 358.75E and 90N to 90S (288 x 145 Longitude/Latitude)
Kosaka, Y., S. Kobayashi, Y. Harada, C. Kobayashi, H. Naoe, K. Yoshimoto, M. Harada, N. Goto, J. Chiba, K. Miyaoka, R. Sekiguchi, M. Deushi, H. Kamahori, T. Nakaegawa, T. Y. Tanaka, T. Tokuhiro, Y. Sato, Y. Matsushita, and K. Onogi, 2024: The JRA-3Q Reanalysis. J. Meteor. Soc. Japan, 102, 1-168 (DOI: 10.2151/jmsj.2024-004).
Total Volume:
3.37 TB
(Entire dataset)
Volume details by dataset productVolume details by dataset productJRA-3Q near real-time land surface analysis fields (anl_land) [GRIB2]: 7.17 GBJRA-3Q near real-time surface geopotential (ll125_surf) [GRIB2]: 0.08 MBJRA-3Q near real-time snow depth analysis fields (anl_snow125) [GRIB2]: 5.97 MBJRA-3Q near real-time surface analysis fields (anl_surf125) [GRIB2]: 711.24 MBJRA-3Q near real-time land surface analysis fields (anl_land125) [GRIB2]: 823.39 MBJRA-3Q near real-time land surface information (ll125_land) [GRIB2]: 0.08 MBJRA-3Q near real-time model level analysis fields (anl_mdl) [GRIB2]: 367.83 GBJRA-3Q near real-time two-dimensional average diagnostic fields (fcst_phy2m) [GRIB2]: 101.46 GBJRA-3Q near real-time land surface average diagnostic fields (fcst_phyland) [GRIB2]: 5.99 GBJRA-3Q near real-time two-dimensional instantaneous diagnostic fields (fcst_surf125) [GRIB2]: 7.63 GBJRA-3Q near real-time land surface information (tl479_land) [GRIB2]: 1.37 MBJRA-3Q near real-time surface geopotential (tl479_surf) [GRIB2]: 0.69 MBJRA-3Q near real-time snow analysis fields (anl_snwlev) [GRIB2]: 3.18 GBJRA-3Q near real-time land surface forecast fields (fcst_land125) [GRIB2]: 5.23 GBJRA-3Q near real-time snow forecast fields (fcst_snowlev) [GRIB2]: 19.09 GBJRA-3Q near real-time land surface forecast fields (fcst_land) [GRIB2]: 45.96 GBJRA-3Q near real-time snow depth analysis fields (anl_snow) [GRIB2]: 42.75 MBJRA-3Q near real-time surface analysis fields (anl_surf) [GRIB2]: 7.54 GBJRA-3Q near real-time ocean surface boundary conditions (bnd_ocean) [GRIB2]: 13.43 GBJRA-3Q near real-time two-dimensional extreme fields (minmax_surf) [GRIB2]: 13.19 GBJRA-3Q near real-time ocean surface boundary conditions (bnd_ocean125) [GRIB2]: 1.44 GBJRA-3Q near real-time two-dimensional average diagnostic fields (fcst_phy2m125) [GRIB2]: 8.56 GBJRA-3Q near real-time land surface average diagnostic fields (fcst_phyland125) [GRIB2]: 638.2 MBJRA-3Q near real-time isentropic analysis fields (anl_isentrop) [GRIB2]: 102.19 GBJRA-3Q near real-time isobaric analysis fields (anl_p) [GRIB2]: 194.27 GBJRA-3Q near real-time model level forecast fields (fcst_mdl) [GRIB2]: 1.17 TBJRA-3Q near real-time isobaric forecast fields (fcst_p) [GRIB2]: 456.85 GBJRA-3Q near real-time model level average diagnostic fields (fcst_phy3m) [GRIB2]: 593.74 GBJRA-3Q near real-time isentropic analysis fields (anl_isentrop125) [GRIB2]: 17.16 GBJRA-3Q near real-time isobaric analysis fields (anl_p125) [GRIB2]: 31.03 GBJRA-3Q near real-time isobaric forecast fields (fcst_p125) [GRIB2]: 73.54 GBJRA-3Q near real-time isobaric average diagnostic fields (fcst_phyp125) [GRIB2]: 40.64 GBJRA-3Q near real-time two-dimensional instantaneous diagnostic fields (fcst_surf) [GRIB2]: 79.89 GB
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.