Work Description

Title: Merged and Gridded GPM and Atmospheric River Data Product Open Access Deposited

h
Attribute Value
Methodology
  • The GPM satellite data are gridded and spatio-temporally matched to atmospheric rivers in the North Atlantic and North Pacific basins. All data is gridded to 0.25° × 0.25° (latitude × longitude) spatial resolution. Each timestep represents a GPM overpass through the basin matched to the nearest-time atmospheric river. A more detailed explanation of these products and methodology can be found in the associated scientific article, submitted to Earth and Space Science (an American Geophysical Union publication). Mateling et al., submitted
Description
  • This merged Global Precipitation Measurement (GPM) Core Observatory and atmospheric river dataset contains gridded Goddard Profiling (GPROF) algorithm v7 precipitation rates (Kummerow et al. 2015; Randel et al. 2020), Remote Sensing Systems (RSS) atmospheric water vapor (Meissner et al. 2012), and Mattingly et al. (2018) atmospheric rivers in the North Atlantic and North Pacific oceans. The GPROF precipitation rates and RSS atmospheric water vapor are both derived using the GPM Microwave Imager (GMI) brightness temperature observations. The atmospheric river data is derived from MERRA-2 (Modern-Era Retrospective analysis for Research and Applications Reanalysis, Version 2) integrated water vapor transport (Mattingly et al. 2018).

  • The data coverage starts at the beginning of the GPM data record (GPM launched in Feb 2014 and the processed data coverage starts in May 2014). Subsequent years will be added throughout the lifetime of the project.

  • The monthly files are compressed into year and basin: either the North Atlantic (NA) or the North Pacific (NP) (e.g., NA_2014) and zipped. The files have the basin name indicated and are by year and month (e.g., gridded_atlantic_201405.nc). The files produced are in NetCDF format ( https://www.unidata.ucar.edu/software/netcdf/) and conform to all standard NetCDF metadata conventions ( http://cfconventions.org/cf-conventions/cf-conventions.html)

  • Kummerow, C. D., Randel, D. L., Kulie, M., Wang, N. Y., Ferraro, R., Joseph Munchak, S., & Petkovic, V. (2015). The evolution of the Goddard profiling algorithm to a fully parametric scheme. Journal of atmospheric and oceanic technology, 32(12), 2265-2280.  https://doi.org/10.1175/JTECH-D-15-0039.1 Mattingly, K. S., Mote, T. L., & Fettweis, X. (2018). Atmospheric river impacts on Greenland Ice Sheet surface mass balance. Journal of Geophysical Research: Atmospheres, 123(16), 8538-8560.  https://doi.org/10.1029/2018JD028714 Meissner, T., F. J. Wentz, and D. Draper, 2012: GMI Calibration Algorithm and Analysis Theoretical Basis Document, Remote Sensing Systems, Santa Rosa, CA, report number 041912, 124 pp. Randel, D. L., Kummerow, C. D., & Ringerud, S. (2020). The Goddard Profiling (GPROF) precipitation retrieval algorithm. Satellite Precipitation Measurement: Volume 1, 141-152.  https://doi.org/10.1007/978-3-030-24568-9_8
Creator
Creator ORCID
Depositor
  • pettersc@umich.edu
Contact information
Discipline
Funding agency
  • National Aeronautics and Space Administration (NASA)
ORSP grant number
  • F066209
Keyword
Citations to related material
  • Mateling et al., submitted to Earth and Space Science (updated when finalized)
Resource type
Last modified
  • 10/18/2023
Published
  • 10/18/2023
Language
DOI
  • https://doi.org/10.7302/7t62-s085
License
To Cite this Work:
Mateling, M. E., Pettersen, C. (2023). Merged and Gridded GPM and Atmospheric River Data Product [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/7t62-s085

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Files (Count: 20; Size: 4.92 GB)

Northern Hemisphere Merged and Gridded GPM and Atmospheric River Dataset README

October, 2023

What is this?

Atmospheric rivers, often identified as regions of relatively high integrated water vapor transport, are found to enhance precipitation rates globally. This dataset contains precipitation and atmospheric water vapor content derived from the Global Precipitation Measurement (GPM) Core Observatory's Microwave Imager (GMI) brightness temperatures, gridded and spatio-temporally merged with at atmospheric river dataset (described in Mattingly et al. 2018; M18). The data starts at the beginning of the GPM record (launch in February 2014, first available data products in May 2014).

Data Packaging & Conversion:

The GPM satellite data are gridded and spatio-temporally matched to atmospheric rivers in the North Atlantic and North Pacific basins. All data is gridded to 0.25° × 0.25° (latitude × longitude) spatial resolution. Each timestep represents a GPM overpass through the basin matched to the nearest-time atmospheric river. All the data is compiled into monthly files of gridded observations.

Original data is converted to NetCDF-4 format for ease of sharing and compatibility within the academic community. The gridding and merging of datasets is performed using Python. The monthly files are compressed into year and basin: either the North Atlantic (NA) or the North Pacific (NP) (e.g., NA_2014) and zipped. The files have the basin name indicated and are by year and month (e.g., gridded_atlantic_201405.nc).

Internal Structure of NetCDF Files:

Spatial & Temporal Variables: Lat/Lon and Time
Data Variables: GPM GPROF surface precipitation rates, GPM atmospheric water vapor content, and M18 Atmospheric Rivers
Note: Each monthly file contains ~250 time steps. Missing data is marked as -9999.

Data Description:

Files are monthly and available for the North Atlantic and North Pacific basins. Files contain gridded GPM GPROF surface precipitation rates and atmospheric water vapor content, with an atmospheric river flag. Each time step represents a single GPM overpass through the basin (N. Atlantic or N. Pacific).

Quality Assurance:

A quality assurance (QA) procedure has been undertaken to ensure the integrity of the data. Post QA, the data is transformed into daily NetCDF-4 files following the Climate and Forecast (CF) conventions (version 1.10) and compressed with a level 2 deflation for optimized file size.

Filename Convention:

The naming convention for the NetCDF files is structured as follows:
gridded__YYYYMM.nc

Where:

basin: 'atlantic' or 'pacific'
YYYYMM: Month (YearMonth)

Directory Structure:

SITE_YEAR/
|-- netCDF/
| |-- Atlantic/
| | |-- gridded_atlantic_YYYYMM.nc
| |-- Pacific/
| | |-- gridded_pacific_YYYYMM.nc

Use and Access:

These data are made available under a Creative Commons Attribution Non-Commercial license
(CC BY 4.0).

Contact:

For any further questions or assistance with the dataset, please reach out to the corresponding data authors (Marian Mateling) via email: mateling@wisc.edu or (Claire Pettersen) via email: pettersc@umich.edu

Date of last update:

October 16, 2023

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