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    • SAFARI 2000 Daily Rainfall Estimates, 0.1-Deg, Southern Africa, 1993-2001

    Metadata Updated: December 6, 2023

    The Microwave InfraRed Algorithm (MIRA) is used to produce an imagery data set of daily mean rain rates at 0.1 degree spatial resolution over southern Africa for the period 1993-2001. MIRA combines passive microwave (PMW) from the Special Sensor Microwave/Imager (SSM/I) on board the DMSP F10 and F14 satellites at a resolution of 0.5 degrees and infrared (IR) data from the Meteosat 4, 5, 6, and 7 satellites in 2-hour slots at a resolution of 5 km. This approach accounts for the limitations of both data types in estimating precipitation. Rainfall estimates are produced at the high spatial and temporal frequency of the IR data using rainfall information from the PMW data. An IR/rain rate relationship, variable in space and time, is derived from coincident observations of IR and PMW rain rate (accumulated over a calibration domain) using the probability matching method. The IR/rain rate relationship is then applied to IR imagery at full temporal resolution. The results presented here are the daily means of those derived rain rates at 0.1 degree spatial resolution.The rainfall data sets are flat binary images with no headers. They are compressed band sequential (bsq) files that contain all of the daily images for the given year. Each image is an array of 401 lines, each with 341 binary floating-point numbers, containing rainfall at 0.1 degree resolution for the area 10 to 50 degrees longitude and 0 to -34 degrees latitude. The number of band sequential images in each annual file and the associated dates can be found in the file MIRA_data_dates.csv.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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    Dates

    Metadata Created Date November 1, 2023
    Metadata Updated Date December 6, 2023

    Metadata Source

    Harvested from NASA Data.json

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    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 1, 2023
    Metadata Updated Date December 6, 2023
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2789731186-ORNL_CLOUD
    Data First Published 2023-10-18
    Language en-US
    Data Last Modified 2023-10-25
    Category SAFARI 2000, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation Layberry, R., D.R. Kniveton, and M.C. Todd. 2005. SAFARI 2000 Daily Rainfall Estimates, 0.1-Deg, Southern Africa, 1993-2001. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/793
    Graphic Preview Description Browse Image
    Graphic Preview File https://daac.ornl.gov/graphics/browse/project/square/safari_logo_square.png
    Harvest Object Id 42486c14-449e-4cd9-a208-b2bc86ba02b4
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/793
    Metadata Type geospatial
    Old Spatial 10.0 -34.0 50.0 0.0
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 95deff6eb24c9f2b8a62c276cfdc454014db11fd7e251a1eb0015a87e6644c7e
    Source Schema Version 1.1
    Spatial
    Temporal 1993-01-01T00:00:00Z/2001-12-31T23:59:59Z

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