hasReference |
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Huffman, G. J., R. F. Adler, D. T. Bolvin, and G. Gu, 2009:
Improving the global precipitation record: GPCP Version 2.1.
Geophys. Res. Lett., 36, AGU:L17808 (DOI: 10.1029/2009GL040000),
URL: http://dx.doi.org/10.1029/2009GL040000.
Adler, R. F., G. J. Huffman, A. Chang, R. Ferraro, P.-P. Xie, J.
Janowiak, B. Rudolf, U. Schneider, S. Curtis, D. Bolvin, A. Gruber,
J. Susskind, P. Arkin, and E. Nelkin, 2003: The Version-2 Global
Precipitation Climatology Project (GPCP) monthly precipitation
analysis (1979–present). J. Hydrometeor., 4(6), 1147-1167 (DOI:
10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2), URL:
https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.
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hasSummary |
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NOTE: This dataset has been superseded by GPCP Version 2.3, which is
available in RDA dataset ds728.4
[https://rda.ucar.edu/datasets/ds728.4/]. Users are advised to
transition to this updated dataset.
This dataset contains Version 2.2 of the Global Precipitation
Climatology Project (GPCP) combined satellite-gauge precipitation
estimate and combined satellite-gauge error estimate. The data are
monthly analyses defined on a global 2.5 degree by 2.5 degree
longitude/latitude grid and cover the period January 1979 to
(delayed) present. A monthly climatology (1979-2011) is also
available.
Please note that the original binary data were written using the
big endian representation of unformatted binary words. Users reading
this data on little endian platforms, therefore, will need to byte
swap the data.
The GPCP was established by the World Climate Research Program
(WCRP) and subsequently attached to the Global Energy and Water
Exchange program (GEWEX) to address the problem of quantifying the
distribution of precipitation around the globe over many years. The
general approach is to combine the precipitation information
available from each of several sources into a final merged product,
taking advantage of the strengths of each data type. The passive
microwave estimates are based on Special Sensor Microwave/Imager
(SSM/I) and Special Sensor Microwave Imager/Sounder (SSMIS) data
from the series of Defense Meteorological Satellite Program (DMSP,
United States) satellites that fly in sun-synchronous low-earth
orbits at 6am / 6pm. The infrared precipitation estimates are
computed primarily from geostationary satellites (United States,
Europe, Japan), and secondarily from NOAA series polar-orbiting
satellites (United States). Additional low-Earth orbit estimates
include Atmospheric Infrared Sounder (AIRS) data from the NASA Aqua,
and Television Infrared Observation Satellite Program (TIROS)
Operational Vertical Sounder (TOVS) and Outgoing Longwave Radiation
Precipitation Index (OPI) data from the NOAA series satellites. The
precipitation gauge data are assembled and analyzed by the Global
Precipitation Climatology Centre (GPCC) of the Deutscher
Wetterdienst.
The Version 2.2 Data Set contains data from the following
contributing centers:
* GPCP Polar Satellite Precipitation Data Centre - Emission
(SSM/I and
SSMIS emission estimates)
* GPCP Polar Satellite Precipitation Data Centre - Scattering
(SSM/I and
SSMIS scattering estimates)
* GPCP Geostationary Satellite Precipitation Data Centre
(GPI and OPI
estimates)
* NASA/GSFC Sounder Research Team (TOVS and AIRS estimates)
* GPCP Global Precipitation Climatology Centre
(precipitation gauge
analyses)
Request to users from the data authors: The GPCP datasets are
developed and maintained with international cooperation and are used
by the worldwide scientific community. To better understand the
evolving requirements across the GPCP user community and to increase
the utility of the GPCP product suite, the dataset authors request
that a citation be provided for each publication that uses the GPCP
products. Please email the citation to george.j.huffman@nasa.gov or
david.t.bolvin@nasa.gov. Your help and cooperation will provide
valuable information for making future enhancements to the GPCP
product suite.
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