University of Washington GPM-Ku Data Set

V06 Regions V07 Regions
Regions v06/SAM v06/NAM v06/AKA v06/AFC v06/EUR v06/NAS v06/SAS v06/CIO v06/WMP v06/EPO v06/H01 v06/H02 v06/H03 v06/H04 v06/H05 Regions v07/SAM v07/NAM v07/AKA v07/AFC v07/EUR v07/NAS v07/SAS v07/CIO v07/WMP v07/EPO v07/H01 v07/H02 v07/H03 v07/H04 v07/H05

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NEW FOR V07 DATA: Drop size diameter statistics are included in tabular data and cfads for reflectivity and drop size diameter are added to products.

BATCH DOWNLOADING: You can use wget to download data quickly. For example if you want to download all the v06 interpolated files from Africa for August of 2014, you could use this command. Don't forget the slash (/) at the end of the URL.
wget --debug --tries=10 --http-user=[login] --http-password=[password] --no-host-directories -r -A .nc

1. Regions

The data are stored by regions of the globe, represented by the boxes in the map above. By clicking inside a box on the map, the user will go to the page containing the analysis products for that selected region. One can accomplish the same thing by going here for v06 or v07 data and clicking on the region of interest.

2. Overview

The NASA GPM 2AKu product is provided in bins along the slant range of the antenna beam. In the University of Washington database, these data in radar coordinates are geolocated and interpolated into a three-dimensional Cartesian grid and stored for analysis. From this dataset it is possible to identify structures of reflectivity echoes that satisfy certain criteria. Five types of echo objects are identified: detectable rain areas (isolated shallow echoes (ISE), deep convective cores (DCC), wide convective cores (WCC), deep-wide convective cores (DWC), and broad stratiform rain areas (BSR). Specific, defining characteristics of each of the objects are defined in section 4, below.

For all the classifications, the calculations are based on two different sets of thresholds - strong (str) and moderate (mod). Each object identified by these criteria is provided in netcdf format in both gridded (grd) (dimensioned by latitude and longitude) and tabular (tab) (dimensioned by instance or case) form. These gridded and tablular netcdf files contain information of the monthly climatology and individual properties of the identified echo objects. So, for example, the broad stratiform data from January of 2015 is contained in 4 files - strong thresholds and gridded, strong thresholds and tabular, moderate thresholds and gridded, and moderate thresholds and tabular. In addition, convective, stratiform and shallow isolated CFADs (Contoured Frequency by Altitude Diagrams) of reflectivity and drop size diameter (Dm) are included as gridded files for each threshold type.

3. Processed Data

In order to identify the echo objects (ISE, DCC, WCC, DWC, BSR), the raw GPM data are subjected to the following, specialized processing.

4. Identification of Echo Objects

The UW database contains information on six types of radar echo objects derived from the interpolated Cartesian data described above.

5. Echo Objects Masks

Each of the core echo objects -- BSR, DCC, DWC and WCC -- is usually embedded in a larger storm. The statistics for each event in the tabular output describie both the core and its associated storm. Each core and storm are also identified by 2-dimensional masks in the interpolated data files. Since some storms contain more than one echo object of a particular type, each core is identified by a core_id. The core_id is included in both the tabular data and the appropriate mask variable in the interpolated data. For example, if a storm contains three different DCC objects, they are numbered 1, 2 and 3 in the tabular output and the correspoinding DCC mask is filled with 1's, 2's and 3's at the appropriate grid points. All remaining points in the mask are filled with the missing value.

6. File Naming Convention

The file naming convention is consistent throughout the website. The files are stored in directories first by region and then by data type.

For the interpolated data (in subdir 'interp_data'), the convention is: [version]_[start_yyyymmdd].[start_hhmmss]_to_[end_yyyymmdd].[end_hhmmss]_[orbit] where

So a typical filename might look like this - ''. This file would contain interpolated data from the Africa (AFC) region for orbit 45683 on 14 Mar 2022 from 071742Z to 072050Z.

For the classified radar echo objects (in subdirs 'BSR', 'DCC', 'DWC', 'SHI', 'WCC'), the convention is: [version]_[classification]_[threshold]_[type]_[yyyymm]_[region].nc. where

So a typical filename might look like this - ''. This file would contain broad stratiform (BSR) data based on strong (str) thresholds in 'tabular' format (tab) for December of 2014 for the South America (SAM) region.

For the cfad data (in subdir 'cfad'), the convention is: [version]_[cfadVar]_[classification]_[threshold]_[type]_[yyyymm]_[region].nc. where

So a typical filename might look like this - ''. This file would contain broad stratiform (stra) data based on strong (str) thresholds in 'grid' format (grd) for January of 2022 for the Africa (AFC) region.


Since our analyses is based on a series of regional studies which will eventually span most of the globe, the data is meant to overlap at the edges of all the global regions. It is suggested that if a user needs to combine information from two or more regions for a singular analysis, a careful 'stitching' of the data must be accomplished to avoid identifying overlapped echo elements multiple times.

7. Note of Appreciation

Erich Stocker of NASA/Goddard Spaceflight Center provided invaluable help with the processing of the data and products provided via this website.

8. Citation to be used for Data and Products Obtained from this Site

In all publications and presentations based on the information provided via this website, please acknowledge the University of Washington with a statement like this: "Data for this study comes from the University of Washington GPM-Ku Data Set located at" and supported by the NASA Earth Sciences PMM Program.

For questions, contact us here.