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Kolbe, C.; Thies, B.; Turini, N.; Liu, Z. &amp; Bendix, J. (2020): <b>Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D</b>. <i>Remote Sensing</i> <b>12</b>(13), 2114.

Resource Description

Title: Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D
FOR816dw ID: 388
Publication Date: 2020-07-31
License and Usage Rights:
Resource Owner(s):
Individual: Christine Kolbe
Contact:
Individual: Boris Thies
Contact:
Individual: Nazli Turini
Contact:
Individual: Zhiyu Liu
Contact:
Individual: Jörg Bendix
Contact:
Abstract:
We present the new Precipitation REtrieval covering the TIbetan Plateau (PRETIP) as a<br/> feasibility study using the two geostationary (GEO) satellites Elektro-L2 and Insat-3D with reference<br/> to the GPM(Global PrecipitationMeasurementMission) IMERG (IntegratedMulti-satellitE Retrievals<br/> for GPM) product. The present study deals with the assignment of the rainfall rate. For precipitation<br/> rate assignment, the best-quality precipitation estimates from the gauge calibrated microwave (MW)<br/> within the IMERG product were combined with the GEO data by Random Forest (RF) regression.<br/> PRETIP was validated with independent MWprecipitation information not considered for model<br/> training and revealed a good performance on 30 min and 11 km spatio-temporal resolution with a<br/> correlation coefficient of R = 0.59 and outperforms the validation of the independentMWprecipitation<br/> with IMERG’s IR only product (R = 0.18). A comparison of PRETIP precipitation rates in 4 km<br/> resolution with daily rain gauge measurements from the Chinese Ministry of Water Resources<br/> revealed a correlation of R = 0.49. No differences in the performance of PRETIP for various elevation<br/> ranges or between the rainy (July, August) and the dry (May, September) season could be found.
Keywords:
| Tibetan Plateau | rain retrieval | Elektro L |
Literature type specific fields:
ARTICLE
Journal: Remote Sensing
Volume: 12
Issue: 13
Page Range: 2114
Metadata Provider:
Individual: Jörg Bendix
Contact:
Online Distribution:
Download File: http://www.lcrs.de/publications.do?citid=388


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