Abstract:
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:
1991-01-01 00:00 +0000 to 2026-08-31 18:00 +0000
(Entire dataset)
Period details by dataset product
Period details by dataset product
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean isentropic analysis fields (anl_isentrop) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean isentropic analysis fields (anl_isentrop125) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean isobaric analysis fields (anl_p) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean isobaric analysis fields (anl_p125) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-01 06:00 +0000 (JRA-3Q near real-time monthly mean isobaric average diagnostic fields (fcst_phyp125) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean isobaric forecast fields (fcst_p) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean isobaric forecast fields (fcst_p125) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean land surface analysis fields (anl_land) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean land surface analysis fields (anl_land125) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-01 06:00 +0000 (JRA-3Q near real-time monthly mean land surface average diagnostic fields (fcst_phyland) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-01 06:00 +0000 (JRA-3Q near real-time monthly mean land surface average diagnostic fields (fcst_phyland125) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean land surface forecast fields (fcst_land) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean land surface forecast fields (fcst_land125) [GRIB2])
1991-01-01 00:00 +0000 (JRA-3Q near real-time monthly mean land surface information (ll125_land) [GRIB2])
1991-01-01 00:00 +0000 (JRA-3Q near real-time monthly mean land surface information (tl479_land) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean model level analysis fields (anl_mdl) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-01 06:00 +0000 (JRA-3Q near real-time monthly mean model level average diagnostic fields (fcst_phy3m) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean model level forecast fields (fcst_mdl) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean ocean surface boundary conditions (bnd_ocean) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean ocean surface boundary conditions (bnd_ocean125) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean surface analysis fields (anl_surf) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean surface analysis fields (anl_surf125) [GRIB2])
1991-01-01 00:00 +0000 (JRA-3Q near real-time monthly mean surface geopotential (ll125_surf) [GRIB2])
1991-01-01 00:00 +0000 (JRA-3Q near real-time monthly mean surface geopotential (tl479_surf) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-01 06:00 +0000 (JRA-3Q near real-time monthly mean two-dimensional average diagnostic fields (fcst_phy2m) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-01 06:00 +0000 (JRA-3Q near real-time monthly mean two-dimensional average diagnostic fields (fcst_phy2m125) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean two-dimensional instantaneous diagnostic fields (fcst_surf) [GRIB2])
2022-01-01 00:00 +0000 to 2026-08-31 18:00 +0000 (JRA-3Q near real-time monthly mean two-dimensional instantaneous diagnostic fields (fcst_surf125) [GRIB2])
Variables:
| Atmospheric Heating |
Atmospheric Ozone |
Atmospheric Stability |
Brightness Temperature |
| Canopy Characteristics |
Cloud Amount |
Cloud Frequency |
Cloud Liquid Water/Ice |
| Convergence |
Dew Point Temperature |
Evaporation |
Evapotranspiration |
| Geopotential Height |
Gravity Wave |
Humidity |
Hydrostatic Pressure |
| Ice Extent |
Ice Fraction |
Land Surface Temperature |
Land Use/Land Cover Classification |
| Land/Ocean/Ice Mask |
Latent Heat Flux |
Latent Heat Flux |
Longwave Radiation |
| Maximum/Minimum Temperature |
Potential Temperature |
Potential Vorticity |
Precipitation Amount |
| Precipitation Rate |
Runoff Rate |
Sea Level Pressure |
Sensible Heat Flux |
| Shortwave Radiation |
Snow Depth |
Snow Water Equivalent |
Soil Moisture/Water Content |
| Soil Temperature |
Streamfunctions |
Surface Pressure |
Surface Roughness |
| Surface Temperature |
Surface Winds |
Total Precipitable Water |
Upper Air Temperature |
| Upper Level Winds |
Vegetation Species |
Vertical Wind Velocity/Speed |
Vorticity |
| Water Vapor |
Spatial Coverage:
Longitude Range: Westernmost=180W Easternmost=180E
Latitude Range: Southernmost=90S Northernmost=90N
Detailed coverage information
Detailed coverage information
-360° x ~0.375° from 0E to 720E and 89.713N to 89.713S (reduced n240.0 Longitude/Gaussian Latitude)
1.25° x 1.25° from 0E to 358.75E and 90N to 90S (288 x 145 Latitude/Longitude)
Data Contributors:
JP/JMA
Japan Meteorological Agency, Japan
Publications:
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).
Reference to JRA-3Q data in scientific or technical papers should be cited to this JRA-3Q comprehensive report.
Total Volume:
330.26 GB
(Entire dataset)
Volume details by dataset product
Volume details by dataset product
JRA-3Q near real-time monthly mean isentropic analysis fields (anl_isentrop) [GRIB2]: 16.7 GB
JRA-3Q near real-time monthly mean isentropic analysis fields (anl_isentrop125) [GRIB2]: 2.06 GB
JRA-3Q near real-time monthly mean isobaric analysis fields (anl_p) [GRIB2]: 29.22 GB
JRA-3Q near real-time monthly mean isobaric analysis fields (anl_p125) [GRIB2]: 3.56 GB
JRA-3Q near real-time monthly mean isobaric average diagnostic fields (fcst_phyp125) [GRIB2]: 5.22 GB
JRA-3Q near real-time monthly mean isobaric forecast fields (fcst_p) [GRIB2]: 35.33 GB
JRA-3Q near real-time monthly mean isobaric forecast fields (fcst_p125) [GRIB2]: 4.31 GB
JRA-3Q near real-time monthly mean land surface analysis fields (anl_land) [GRIB2]: 705.09 MB
JRA-3Q near real-time monthly mean land surface analysis fields (anl_land125) [GRIB2]: 84.5 MB
JRA-3Q near real-time monthly mean land surface average diagnostic fields (fcst_phyland) [GRIB2]: 153.85 MB
JRA-3Q near real-time monthly mean land surface average diagnostic fields (fcst_phyland125) [GRIB2]: 6.68 MB
JRA-3Q near real-time monthly mean land surface forecast fields (fcst_land) [GRIB2]: 777.2 MB
JRA-3Q near real-time monthly mean land surface forecast fields (fcst_land125) [GRIB2]: 91.1 MB
JRA-3Q near real-time monthly mean land surface information (ll125_land) [GRIB2]: 0.08 MB
JRA-3Q near real-time monthly mean land surface information (tl479_land) [GRIB2]: 1.37 MB
JRA-3Q near real-time monthly mean model level analysis fields (anl_mdl) [GRIB2]: 43.32 GB
JRA-3Q near real-time monthly mean model level average diagnostic fields (fcst_phy3m) [GRIB2]: 104.91 GB
JRA-3Q near real-time monthly mean model level forecast fields (fcst_mdl) [GRIB2]: 79.78 GB
JRA-3Q near real-time monthly mean ocean surface boundary conditions (bnd_ocean) [GRIB2]: 385.87 MB
JRA-3Q near real-time monthly mean ocean surface boundary conditions (bnd_ocean125) [GRIB2]: 36.57 MB
JRA-3Q near real-time monthly mean surface analysis fields (anl_surf) [GRIB2]: 799.5 MB
JRA-3Q near real-time monthly mean surface analysis fields (anl_surf125) [GRIB2]: 75.39 MB
JRA-3Q near real-time monthly mean surface geopotential (ll125_surf) [GRIB2]: 0.08 MB
JRA-3Q near real-time monthly mean surface geopotential (tl479_surf) [GRIB2]: 0.69 MB
JRA-3Q near real-time monthly mean two-dimensional average diagnostic fields (fcst_phy2m) [GRIB2]: 1.19 GB
JRA-3Q near real-time monthly mean two-dimensional average diagnostic fields (fcst_phy2m125) [GRIB2]: 98.58 MB
JRA-3Q near real-time monthly mean two-dimensional instantaneous diagnostic fields (fcst_surf) [GRIB2]: 1.31 GB
JRA-3Q near real-time monthly mean two-dimensional instantaneous diagnostic fields (fcst_surf125) [GRIB2]: 123.35 MB
Related GDEX Datasets:
-
JRA-55: Japanese 55-year Reanalysis, Daily 3-Hourly and 6-Hourly Data
-
JRA-55: Japanese 55-year Reanalysis, Near Real-Time Data
-
Japanese Reanalysis for Three Quarters of a Century (JRA-3Q)
-
Near Real-Time Japanese Reanalysis for Three Quarters of a Century (JRA-3Q)
-
Japanese Reanalysis for Three Quarters of a Century (JRA-3Q) Monthly Statistics
-
Japanese Reanalysis for Three Quarters of a Century (JRA-3Q) Diurnal Statistics
-
Near real-time monthly diurnal Japanese Reanalysis for Three Quarters of a Century (JRA-3Q)
-
Japanese Reanalysis for Three Quarters of a Century - COBE (JRA-3Q-COBE)
Metadata Record:
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 GDEX 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.