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| Titel |
Early Examples from the Integrated Multi-Satellite Retrievals for GPM (IMERG) |
| VerfasserIn |
George Huffman, David Bolvin, Daniel Braithwaite, Kuolin Hsu, Robert Joyce, Christopher Kidd, Soroosh Sorooshian, Pingping Xie |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250091975
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| Publikation (Nr.) |
 EGU/EGU2014-11232.pdf |
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| Zusammenfassung |
| The U.S. GPM Science Team’s Day-1 algorithm for computing combined precipitation
estimates as part of GPM is the Integrated Multi-satellitE Retrievals for GPM (IMERG). The
goal is to compute the best time series of (nearly) global precipitation from "all"
precipitation-relevant satellites and global surface precipitation gauge analyses. IMERG is
being developed as a unified U.S. algorithm drawing on strengths in the three contributing
groups, whose previous work includes:
1) the TRMM Multi-satellite Precipitation Analysis (TMPA);
2) the CPC Morphing algorithm with Kalman Filtering (K-CMORPH); and
3) the Precipitation Estimation from Remotely Sensed Information using Artificial Neural
Networks using a Cloud Classification System (PERSIANN-CCS).
We review the IMERG design and development, plans for testing, and current status.
Some of the lessons learned in running and reprocessing the previous data sets include the
importance of quality-controlling input data sets, strategies for coping with transitions in the
various input data sets, and practical approaches to retrospective analysis of multiple
output products (namely the real- and post-real-time data streams). IMERG output
will be illustrated using early test data, including the variety of supporting fields,
such as the merged-microwave and infrared estimates, and the precipitation type.
We end by considering recent changes in input data specifications, the transition
from TRMM-based calibration to GPM-based, and further "Day 2" development. |
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