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Japanese Reanalysis for Three Quarters of a Century (JRA-3Q)

d640000
| DOI: 10.5065/AVTZ-1H78
 
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:
1947-09-01 00:00 +0000 to 2024-10-31 23:00 +0000 (Entire dataset) Period details by dataset product
Updates:
Monthly
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/Ocean/Ice Mask Land Surface Temperature
Land Use/Land Cover Classification 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
Wind Stress Wind Stress
Vertical Levels:
See the detailed metadata for level information.
Data Types:
Grid
Spatial Coverage:
Longitude Range: Westernmost=180W Easternmost=180E
Latitude Range: Southernmost=90S Northernmost=90N Detailed coverage information
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, 49-109 (DOI: 10.2151/jmsj.2024-004).
Total Volume:
465.28 TB (Entire dataset) Volume details by dataset product
Data Formats:
Related RDA Datasets:
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JRA-55: Japanese 55-year Reanalysis, Daily 3-Hourly and 6-Hourly Data
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JRA-55: Japanese 55-year Reanalysis, Near Real-Time Data
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ERA5 Reanalysis (0.25 Degree Latitude-Longitude Grid)
-
Near Real-Time Japanese Reanalysis for Three Quarters of a Century (JRA-3Q)
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Japanese Reanalysis for Three Quarters of a Century (JRA-3Q) Monthly Statistics
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Near real-time monthly mean Japanese Reanalysis for Three Quarters of a Century (JRA-3Q)
-
Near real-time monthly diurnal Japanese Reanalysis for Three Quarters of a Century (JRA-3Q)
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Japanese Reanalysis for Three Quarters of a Century - COBE (JRA-3Q-COBE)
More Details:
View a more detailed summary of the data, including specific date ranges and locations by parameter
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 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.