Bronze level automatically awarded US beta
This data has achieved Bronze level on 22 October 2015 which means this data makes a great start at the basics of publishing open data.
Climate Prediction Center (CPC) Rainfall Estimator (RFE) for Africa
Summary
- Type of release
- ongoing release of a series of related datasets
- Data Licence
- Not Applicable
- Content Licence
- Creative Commons CCZero
- Verification
- automatically awarded
- Release Date
- 27 September 2015
- Modified Date
- 27 September 2015
- Update Frequency
- daily
- Publishers
- National Oceanic and Atmospheric Administration, Department of Commerce
- Identifier
- climate-prediction-center-cpc-rainfall-estimator-rfe-for-africa
- Landing Page
- http://catalog.data.gov/dataset/climate-prediction-center-cpc-rainfall-estimator-rfe-for-africa
- Temporal Coverage
- 1 January 2001 — 25 August 2014
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Description
As of January 1, 2001, RFE version 2.0 has been implemented by NOAA?s Climate Prediction Center. Created by Ping-Ping Xie, this replaces RFE 1.0 the previous rainfall estimation algorithm that was operational from 1995 through 2000 (Herman et al., 1997). RFE 2.0 uses additional techniques to better estimate precipitation while continuing the use of cloud top temperature and station rainfall data that formed the basis of RFE 1.0. Meteosat geostationary satellite infrared data is acquired in 30-minute intervals, and areas depicting cloud top temperatures of less than 235K are used to estimate convective rainfall. WMO Global Telecommunication System (GTS) data taken from approx. 1000 stations provide accurate rainfall totals, and are assumed to be the true rainfall near each station. RFE 1.0 used an interpolation method to combine Meteosat and GTS data for daily precipitation estimates, and warm cloud information was included to obtain dekadal (10-day) estimates. The two new satellite rainfall estimation instruments that are incorporated into RFE 2.0 are the Special Sensor Microwave/Imager (SSM/I) on board Defense Meteorological Satellite Program satellites, and the Advanced Microwave Sounding Unit (AMSU). Both estimates are acquired at 6-hour intervals and have a resolution of 0.25 degrees. RFE 2.0 obtains the final daily rainfall estimation using a two part merging process, then sums daily totals to produce dekadal estimates. All satellite data is first combined using a maximum likelihood estimation method, and then GTS station data is used to remove bias. Warm cloud precipitation estimates are not included in RFE 2.0. RFE data is mainly staged for public download in binary format, but is also available in GeoTiff format.
General Information
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This data is described at
http://catalog.data.gov/dataset/climate-prediction-center-cpc-rainfall-estimator-rfe-for-africa Do you think this data is incorrect? Let us know
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This data is published by
National Oceanic and Atmospheric Administration, Department of Commerce Do you think this data is incorrect? Let us know
Legal Information
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The rights statement is at
http://catalog.data.gov/dataset/climate-prediction-center-cpc-rainfall-estimator-rfe-for-africa Do you think this data is incorrect? Let us know
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Outside the US, this data is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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There are
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
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The content is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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This data contains
no data about individuals Do you think this data is incorrect? Let us know
Practical Information
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The data appears in this collection
http://catalog.data.gov/organization/noaa-gov Do you think this data is incorrect? Let us know
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This data changes
at least daily Do you think this data is incorrect? Let us know
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The data is
backed up offsite Do you think this data is incorrect? Let us know
Technical Information
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Releases of this data are listed at
http://catalog.data.gov/api/rest/package/climate-prediction-center-cpc-rainfall-estimator-rfe-for-africa Do you think this data is incorrect? Let us know
Social Information
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Find out how to contact someone about this data at
http://catalog.data.gov/dataset/climate-prediction-center-cpc-rainfall-estimator-rfe-for-africa Do you think this data is incorrect? Let us know
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Find out how to suggest improvements to publication at
http://www.data.gov/issue/?media_url=http://catalog.data.gov/dataset/climate-prediction-center-cpc-rainfall-estimator-rfe-for-africa Do you think this data is incorrect? Let us know