CPC CMORPH - 25km - Daily¶
Description¶
The Satellite Precipitation - CMORPH Climate Data Record (CDR) consists of satellite precipitation estimates that have been bias corrected and reprocessed using the the Climate Prediction Center (CPC) Morphing Technique (MORPH) to form a global, high resolution precipitation analysis. Data is reprocessed on a global grid with daily temporal resolution.
Climate Engine details¶
- Dataset type
- Climate/Hydrology
- Climate Engine ID
- NOAA_CPC_CMORPH
- Documentation
- https://support.climateengine.org/article/55-cpc-cmorph
Dataset details¶
- Scale
- 25km
- Frequency
- Daily
- Coverage
- Global
- Start year
- 1998
- End year
- Present
Earth Engine collection details¶
- Earth Engine asset
- projects/climate-engine-pro/assets/noaa-cpc-cmorph/daily
- Earth Engine asset URL
- https://gee-community-catalog.org/projects/cpc_morph/?h=cmorph
- Earth Engine source catalog
- ClimateEngine.org
Variables¶
API variable docs: #noaa-satellite-precipitation-cmorph
| Name | Units |
|---|---|
| Precipitation | mm |
| Standardized Precipitation Index (SPI) | N/A |
References¶
- Xie, Pingping; Joyce, Robert; Wu, Shaorong; Yoo, S.-H.; Yarosh, Yelena; Sun, Fengying; Lin, Roger, NOAA CDR Program (2019): NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1 [indicate subset]. NOAA National Centers for Environmental Information. https://doi.org/10.25921/w9va-q159 [access date]
Website: https://www.ncei.noaa.gov/products/climate-data-records/precipitation-cmorph
Terms of use¶
NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose. NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data.