Overview
This document mainly provides an overview of the precipitation data from the Global Precipitation Climatology Project 1 Degree Daily Analysis, version 1.3 (GPCP1DD V1.3). It is a Climate Data Record. The data provided is of daily frequency and is a companion to the monthly analysis for users requiring higher temporal and spatial resolutions.
Provider’s contact information
GPCP is produced through a joint effort between the University of Maryland and NASA.
Dataset Point of Contact:
NOAA CDR Program
DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
+1 (828) 271-4800
gpcp_contacts@noaa.gov
Additional information is available from U of Maryland at http://eagle1.umd.edu/GPCP_ICDR/.
Licensing and citation
For V1.3, acknowledge as:
The Precipitation – GPCP Daily CDR used in this study was acquired from the NOAA National Centers for Environmental Information (NCEI; formerly NCDC) (https://www.ncei.noaa.gov). This CDR was developed by Robert Adler, Jian-Jian Wang, Mathew Sapiano of the University of Maryland College Park.
Cite data as:
Adler, R., J.-J. Wang, M. Sapiano, G. Huffman, D. Bolvin, E. Nelkin, and NOAA CDR Program (2017). Global Precipitation Climatology Project (GPCP) Daily Analysis (Version 1.3) [Indicate subset used.]. NOAA National Centers for Environmental Information. doi:10.7289/V5RX998Z [access date]
Variable name and units (for V2.3)
| Name | Description | Units | Frequency | Collection of data |
|---|---|---|---|---|
| Rainfall | Grid-cell value of total rainfall for day | mm/day | Daily |
Spatial coverage and resolution
This dataset combines observations and satellite precipitation data into a 1°x1° global grid.
Temporal coverage and resolution
Monthly precipitation values are provided through from 1996/10 through present.
Information about observations (number, homogeneity)
Satellite data over the land and ocean are combined with gauge analysis over land. Passive Microwave estimates are based on Special Sensor Microwave Imager/Special Sensor Microwave Imager Sounder (SSMI/SSMIS) data. Infrared precipitation estimates are included using Geostationary Operational Environmental Satellite (GOES) data and Polar-orbiting Operational Environmental Satellite (POES) data, as well as other low earth orbit data and in situ observations.
Daily analysis primary sensors include:
- RSS SSMI Tb CDR from 1996-2008
- RSS SSMIS Tb CDR from 2009-present
- TOVS precipitation from 1996-2002
- AIRS V6 precipitation from 2003-present (replaces TOVS)
- IR 3 hourly files, Tb from CPC from 1996-present
- GPCP Monthly Analysis V2.3 from 1996-present
See Climate Algorithm Theoretical Basis Document for GPCP Daily Analysis for sensor data timeline and details.
Methodology
The GPCP monthly precipitation dataset combines observations and satellite precipitation to populate a 1°x1° global grid. Gauge data comes from the Global Precipitation Climatology Center (GPCC) of the Deutscher Wetterdienst (DWD). Precipitation estimates come from polar-orbit passive microwave satellites (SSMI, SSMIS), polar orbit IR sounders (TOVS, AIRS), and geostationary infrared satellites (GOES, MeteoSat, GMS, MTSat).
Information about the technical and scientific quality
Limitations and strengths for application in North Canada
V2.3 is not leveraging satellites and datasets which improve sampling over North Canada.
Different satellites are used at different latitudes, leading to spatial heterogeneity.
References to documents describing the methodology and/or the dataset
Huffman, G. J., R. F. Adler, M. M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global Precipitation at One-Degree Daily Resolution from Multisatellite Observations. Journal of Hydrometeorology 2, 1, 36-50, https://doi.org/10.1175/1525-7541(2001)002<0036:GPAODD>2.0.CO;2
Climate Algorithm Theoretical Basis Document for GPCP Daily Analysis V1.3 (https://www.ncei.noaa.gov/data/global-precipitation-climatology-project-gpcp-daily/doc/CDRP-ATBD-0913%20Rev%200%20Precipitation%20-%20GPCP%20Daily%20C-ATBD%20(01B-35)%20(DSR-1159).pdf)
Source code is available for reference to maintain the transparency of the algorithm and processes. Found here: (https://www1.ncdc.noaa.gov/pub/data/sds/cdr/CDRs/Precipitation_GPCP-Monthly/SourceCode_01B-34.tar.gz)
Link to download the data and format of data
NCEI Direct Download of Daily V1.3 Data (https://www.ncei.noaa.gov/data/global-precipitation-climatology-project-gpcp-daily/access/)
Data are in netCDF-4 file format.
Publications including dataset evaluation or comparison with other data in Canada
Hegyi, B. M., and Y. Deng, 2011: A dynamical fingerprint of tropical Pacific sea surface temperatures on the decadal-scale variability of cool-season Arctic precipitation. Journal of Geophysical Research, 116(D20). https://doi.org/10.1029/2011jd016001
Kusunoki, S., R. Mizuta, and M. Hosaka, 2015: Future changes in precipitation intensity over the Arctic projected by a global atmospheric model with a 60-km grid size. Polar Science, 9(3), 277–292. https://doi.org/10.1016/j.polar.2015.08.001
Song, Y., A. Behrangi, and E. Blanchard-Wrigglesworth, 2020: Assessment of satellite and reanalysis cold season snowfall estimates over Arctic sea ice. Geophysical Research Letters, 47, e2020GL088970. https://doi-org.myaccess.library.utoronto.ca/10.1029/2020GL088970.