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Search and discover datasets in GDEX by entering a keyword search below, then filter by the facets in the menu on the left. Click here to view the full list of all datasets in GDEX.
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You searched for 'JRA55'.
7 matching datasets found.

Description:
As a subset of the Japanese 55-year Reanalysis (JRA-55) project, an experiment using the global atmospheric model of the JRA-55 was conducted by the Meteorological Research Institute of the Japan Meteorological Agency. The experiment, named the JRA-55AMIP, has been carried out by prescribing the same boundary conditions and radiative forcing of JRA-55, including the historical observed sea surface temperature, sea ice concentration, greenhouse gases, etc., with no use of atmospheric observation…
Dataset ID: d628004
Description:
As a subset of the Japanese 55-year Reanalysis (JRA-55) project, an experiment using the global atmospheric model of the JRA-55 was conducted by the Meteorological Research Institute of the Japan Meteorological Agency. The experiment, named the JRA-55AMIP, has been carried out by prescribing the same boundary conditions and radiative forcing of JRA-55, including the historical observed sea surface temperature, sea ice concentration, greenhouse gases, etc., with no use of atmospheric observation…
Dataset ID: d628005
Description:
Important Notice: Update of JRA-55 data will terminate at the end of January 2024. Please use Japanese Reanalysis for Three Quarters of a Century (JRA-3Q) at that time. The Japan Meteorological Agency (JMA) conducted JRA-55, the second Japanese global atmospheric reanalysis project. It covers 55 years, extending back to 1958, coinciding with the establishment of the global radiosonde observing system. Compared to its predecessor, JRA-25, JRA-55 is based on a new data assimilation and p…
Dataset ID: d628000
Description:
As a subset of the Japanese 55-year Reanalysis (JRA-55) project, the Meteorological Research Institute of the Japan Meteorological Agency has conducted a global atmospheric reanalysis that assimilates only conventional surface and upper air observations, with no use of satellite observations, using the same data assimilation system as the JRA-55. The project, named the JRA-55 Conventional (JRA-55C), aims to produce a more homogeneous dataset over a long period, unaffected by changes in historic…
Dataset ID: d628002
Description:
The Japan Meteorological Agency (JMA) conducted JRA-55, the second Japanese global atmospheric reanalysis project. It covers 55 years, extending back to 1958, coinciding with the establishment of the global radiosonde observing system. Compared to its predecessor, JRA-25, JRA-55 is based on a new data assimilation and prediction system (DA) that improves many deficiencies found in the first Japanese reanalysis. These improvements have come about by implementing higher spatial resolution (TL319L…
Dataset ID: d628001
Description:
As a subset of the Japanese 55-year Reanalysis (JRA-55) project, the Meteorological Research Institute of the Japan Meteorological Agency has conducted a global atmospheric reanalysis that assimilates only conventional surface and upper air observations, with no use of satellite observations, using the same data assimilation system as the JRA-55. The project, named the JRA-55 Conventional (JRA-55C), aims to produce a more homogeneous dataset over a long period, unaffected by changes in historic…
Dataset ID: d628003
Description:
SMYLE (Seasonal-to-MultiYear Large Ensemble) is an initialized prediction system using CESM2. It consists of fully coupled initialized hindcast simulations using CESM2 component models at nominal 1 degree horizontal resolution. Hindcasts are initialized from historical reconstructions (SMYLE-FOSI for ocean and sea-ice; SMYLE-landonly for land; and JRA55 reanalysis for atmosphere) and then integrated forward 24-months. Initialization occurs quarterly (1st of each month of February, May, August, …
Dataset ID: d651065
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There are 1650 public datasets in the GDEX archive. The GDEX dataset search and discovery allows you to search for datasets by keyword and filter by facets. Facet descriptions are given below, including the number of datasets (in parentheses) in each.

Keywords (1650)
Keywords are high-level groupings of parameters describing a topic or subtopic - e.g. Atmosphere (topic), Clouds (subtopic of Atmosphere).
Variable (1650)
A variable or parameter is the quantity that is measured, derived, or computed - e.g. the data value.
Platform (1650)
The platform is the entity or type of entity that acquired or computed the data (e.g. aircraft, land station, reanalysis model).
Spatial Resolution (381)
This refers to the horizontal distance between discrete gridpoints of a model product, reporting stations in a network, measurements of a moving platform, etc.
Time Resolution (246)
This refers to the distance in time between discrete observation measurements, model product valid times, etc.
Data Format (1648)
This refers to the structure of the bitstream used to encapsulate the data values in a record or file - e.g ASCII, netCDF, etc.
Data Type (1650)
This refers to the type of data values - e.g. grid (interpolated or computed gridpoint data), platform observation (in-situ and remotely sensed measurements), etc.
Project / Experiment (881)
This is the scientific project, field campaign, or experiment that acquired the data.
Supports Project (51)
This refers to data that were acquired to support a scientific project or experiment (e.g. GATE) or that can be used as ingest for a project (e.g. WRF).
Location (114)
This is the name of the (usually geographic) location or region for which the data are valid.