Description
Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.
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The Level 3 DPR algorithm accumulates instantaneous precipitation estimates from the Level 2 retrieval algorithms into grids over a day and month time span. There are two grid resolutions: 5.0 degrees and 25 kms. For each grid box, the core statistics are the number of measurements, mean, and standard deviation. Most variables are also conditioned on surface type and precipitation type with other three-dimensional fields adding the height above the ellipsoid. Unless otherwise specified, the means are conditioned on precipitation being present (rain rate > 0). For the daily product, the mean square statistic is saved rather than the standard deviation. In addition to the daily and monthly products is a simplified joint daily product that contains a subset of the fields from the full daily product. The Level 3 DPR products present the user with summary information over daily and monthly time periods. These gridded products are in a convenient gridded form and can be used easily in comparisons with other satellite and ground data.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| View this dataset's algorithm theoretical basis document | ATBD_DPR_L3_V7.pdf | Open resource | |
| This dataset's landing page | HTML | Access the dataset landing page from the GES DISC website. | Open resource |
| Get a related visualization | PNG | GPM_3DPR_DES_07.png | Open resource |
| View this dataset's read me document | README Document | Open resource | |
| Download this dataset through a directory map | HTML | Access the data via HTTPS | Open resource |
| Use OPeNDAP to access the dataset's data | HTML | Access the data via the OPeNDAP protocol. | Open resource |
| The dataset's project home page | HTML | GPM Project Home Page | Open resource |
| View documentation related to this dataset | FILE SPECIFICATION DOCUMENT | Open resource | |
| View this dataset's documented anomalies | HTML | GPM and partner sensors anomalous events | Open resource |
| View documentation related to this dataset | HTML | Instrument Description | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | HTML | Use the Earthdata Search to find and retrieve data sets across multiple data centers. | Open resource |