PERSIANN-CDR: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (NOAA/PERSIANN-CDR)
Version Version 1 Revision 1
PERSIANN-CDR is a daily quasi-global precipitation product that spans the period from 1983-01-01 to present. The data is produced quarterly, with a typical lag of three months. The product is developed by the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine (UC-IRVINE/CHRS) using Gridded Satellite (GridSat-B1) IR data that are derived from merging ISCCP B1 IR data, along with GPCP version 2.2.
| Name | Description | Gee Unit |
|---|---|---|
| precipitation | Estimated daily precipitation | mm |
Providers | |
|---|---|
| NOAA NCDC (producer, licensor) | |
| Google Earth Engine (host) | |
| STAC Version | 0.6.0 |
| Keywords | cdr, climate, geophysical, ncdc, noaa, persiann, precipitation, weather |
| License | proprietary |
| Temporal Extent | 12/31/1982, 4:00:00 PM - now |
| DOI | https://doi.org/10.7289/V51V5BWQ |
| Citation | Cite this dataset when used as a source: Sorooshian, Soroosh; Hsu, Kuolin; Braithwaite, Dan; Ashouri, Hamed; and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. [indicate subset used]. NOAA National Centers for Environmental Information. doi: [https://doi.org/10.7289/V51V5BWQ](https://doi.org/10.7289/V51V5BWQ) [access date]. |
| Type | image_collection |
| GSD | arc degreesm |
| Cadence | day |