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Monthly and Annual API

The Monthly and Annual microservice API returns time series analysis ready data responses for solar and meteorological data to be used directly by applications.

  • Provides parameters by year; the annual and each month's average, maximum, and/or minimum values.
  • All parameters are available in their original sources spatial resolution.
  • Solar parameters are derived from NASA's GEWEX SRB R4-IP archive (Jan. 1, 1984 – Dec. 31, 2000), CERES SYN1deg archive (Jan. 1, 2001 – to within a few months of real time), and NASA’s CERES FLASHFlux project (End of CERES – to within about 7-days of real time).
  • Meteorological parameters are derived from the NASA's GMAO MERRA-2 assimilation model (Jan. 1, 1981 to the previous year).

Formats

Formats Available Notes
NetCDF Yes
ASCII Yes
ICASA No This will be available in a future release.
JSON Yes
CSV Yes

Limits

Parameters

  • A maximum of 20 parameters can currently be requested in one submission.
  • This limits does not apply if more parameters are needed by the application to construct any on the fly parameters.

Request Structure

  • The request arguments can be in any order after the question mark.
  • A single parameter can be requested or a list of Parameters can be selected, with one of the following list separators: ',' or '%2C'.

Examples

To help construct and test your API requests please use the API Pages for the POWER Monthly API and POWER Manager API.

Point

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/api/temporal/monthly/point?parameters=T2M,T2M_MAX&community=SB&longitude=0&latitude=0&format=JSON&start=2016&end=2017
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/api/temporal/monthly/point?parameters=T2M,T2M_MAX&community=SB&longitude=0&latitude=0&format=ASCII&start=2016&end=2017
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/api/temporal/monthly/point?parameters=T2M,T2M_MAX&community=SB&longitude=0&latitude=0&format=CSV&start=2016&end=2017

Regional

Below are examples to return a monthly data for a region on a 0.5 x 0.5 degree grid.

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/api/temporal/monthly/regional?latitude-min=50&latitude-max=55&longitude-min=50&longitude-max=55&parameters=T2M&community=SB&start=2016&end=2017&format=CSV