Precipitation identifiers for meteorological features combining global GPM-IMERG retrievals and ERA5 reanalysis
Data files
Oct 11, 2024 version files 1.72 GB
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GPM-IMERG_feature_precip_identifiers.zip
1.72 GB
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README.md
3.08 KB
Abstract
The data collection provides 0.25-deg., 6-hourly global feature-precipitation categories from 2001 to 2019. The data is generated by merging GPM-IMERG observational rainfall (V6 final version) and atmospheric features identified by multiple object-based algorithms. Classified precipitation identifiers include rainfall associated with atmospheric rivers (AR), frontal systems (FT), low-pressure systems (LPS), mesoscale convective systems (MCS), and their co-occurrences (overlapping areas of features at a given time). In addition to algorithm-identified features, precipitation contributed from deep convection, non-deep convection, stratiform, and drizzle are pixel-wise defined using thresholds of CPC MERGE-IR brightness temperature and GPM-IMERG rain rate. The dataset is supported by the Department of Energy and Environment (DOEE): DE-SC0023244.
README: GPM-IMERG feature-associated precipitation identifiers
https://doi.org/10.5061/dryad.v9s4mw73g
A 19-year (2001-2019) global dataset of GPM-IMERG feature-associated precipitation identifiers. The precipitation identifier is generated to attribute a rainy grid to a specific meteorological feature.
Description of the data and file structure
Data description
The data collection provides 0.25-deg., 6-hourly global feature-precipitation categories from 2001 to 2019. The data is generated by merging GPM-IMERG observational rainfall (V6 final version) and atmospheric features identified by multiple object-based algorithms. Classified precipitation identifiers include rainfall associated with atmospheric rivers (AR), frontal systems (FT), low-pressure systems (LPS), mesoscale convective systems (MCS), and their co-occurrences (overlapping areas of features at a given time). In addition to algorithm-identified features, precipitation contributed from deep convection, non-deep convection, stratiform, and drizzle are pixel-wise defined using thresholds of CPC MERGE-IR brightness temperature and GPM-IMERG rain rate. The dataset is supported by the Department of Energy and Environment (DOEE): DE-SC0023244.
File information
File name: "GPM-IMERG_feature_precip_{year}_{month}.nc"
File type: NetCDF (network Common Data Form)
Variable description:
precip_id [time, latitude, longitude]: An integer (1-20) corresponding to a classified precipitation identifier.
The 20 classified precipitation identifers are described in the attribute of NetCDF and the supplementary document.
dimensions:
time = 124 ;
longitude = 1440 ;
latitude = 481 ;
variables:
int64 time(time) ;
time:units = "hours since 2001-01-01" ;
time:calendar = "proleptic_gregorian" ;
double longitude(longitude) ;
longitude:_FillValue = NaN ;
longitude:long_name = "longitude" ;
longitude:short_name = "lon" ;
longitude:units = "degrees_east" ;
double latitude(latitude) ;
latitude:_FillValue = NaN ;
latitude:long_name = "latitude" ;
latitude:short_name = "lat" ;
latitude:units = "degrees_north" ;
byte precip_id(time, latitude, longitude) ;
Sharing / Access information
Data of identified atmospheric features is archived at NERSC High Performance Storage System (HPSS) (/global/cfs/cdirs/m4374/catalogues/raw_catalogue_files/observations/)
Data of GPM-IMERG V6 Fianl version is archived at NASA GES DISC
Data of CPC MERGE-IR is archived at NOAA Climate Prediction Center
The data of GPM-IMERG feature-associated precipitation identifiers is derived from the above sources.
Methods
The categorization of global precipitation relies on recognizing four primary atmospheric features: atmospheric rivers (ARs), fronts (FTs), mesoscale convective systems (MCSs), and low-pressure systems (LPSs). Initially, identified atmospheric features with varying temporal and spatial resolutions are harmonized into a unified framework (6-hourly and 0.25-degree). GPM-IMERG precipitation data (0.1-degree resolution) is then coarse-grained to 0.25-degree for labeling using merged feature outputs. Additionally, precipitation attributed to deep convection, non-deep convection, stratiform, and drizzle is discerned at the pixel level using MERGE-IR brightness temperature data alongside GPM-IMERG precipitation. These classifications exclusively apply to rainy pixels not aligned with the four primary features. Rainy pixels within a specific feature boundary are considered associated with that feature object. For frontal systems represented as line segments, the line-segment masks are expanded outward by 250 km to generate two-dimensional bounded features. The identification of precipitation sources is conducted independently every 6 hours over 19 years (2001-2019). Detailed methodologies and demonstrations are accessible at https://docs.google.com/document/d/1O8NQesgyjIXv2X37wLsZ1EhgBdRKtvtPR7OYNBSBdBs/edit