Reanalysis

Comprehensive weather and climate datasets, reanalyses assimilate a variety of observations of the atmosphere, land surface, and ocean into a forecast model to provide a dynamically consistent estimate of the climate state at each time step.

Below is the atmospheric reanalysis overview page, which summarizes the attributes of the major atmospheric reanalyses. This section also includes selected oceanic reanalyses, although an overview is not available yet.

To find a specific reanalysis, jump to the search box below or click your desired reanalysis from among the blue sub-category buttons.

To see only the reanalyses pages accompanied by in-depth commentary, select the "Datasets with guidance" button when using the search box.

Climate datasets

Has expert guidance
Daily Arctic sea ice volume from PIOMAS for each year from January 1, 1979 to November 30, 2022 using shades of blue to red in sequential order for every line. The decadal averages are annotated on the right side. (contributed by Z. Labe) Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS)

  • Years of record

  • to

The Pan-Arctic Ice-Ocean Modeling and Assimilation System (PIOMAS) is a reanalysis data set that uses a coupled ice and ocean model to provide daily and monthly estimates of Arctic sea-ice thickness. The data is publicly available from January 1979 to in near-real time.…

Main variables and Earth System components

Cryosphere Sea Ice Thickness Ocean
Arctic System Reanalysis (ASR) Arctic System Reanalysis (ASR)

  • Years of record

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The Arctic System Reanalysis is a multi-agency, university-led retrospective analysis (reanalysis) of the Greater Arctic. ASR is produced using high-resolution versions of the Polar Weather Forecast Model (PWRF) and the WRF-VAR and High Resolution Land Data Assimilation (…

Main variables and Earth System components

Atmosphere Cryosphere Land Soil Moisture

    • Timestep

    • Sub-daily, Monthly

    • Collections

    • None

  • Experts contributing reviews

  • None