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2017_PRETIP_precipitation_retrieval_Tibetan_Plateau <small>by Kolbe, C. (2020)</small>

Resource Description

Title: 2017_PRETIP_precipitation_retrieval_Tibetan_Plateau
Short Name: 2017_PRETIP
FOR816dw ID: 395
Publication Date: 2020-09-17
Last Update Date: 2020-09-17
License and Usage Rights: LCRS
Temporal Coverage:
Begin: 2017-05-01
End: 2017-09-30
Geographic Coverage:
Geographic Description: Tibet
Bounding Coordinates:
- lon/lat [degrees]
- WGS 84
max latitude: 40.0° Max: 8000.0 ( meter )
min longitude: 70.0° max longitude: 100.0° Elevation
min latitude: 25.0° Min: 1500.0 ( meter )
Dataset creator(s):
Individual: Christine Kolbe
Contact:
Abstract:
This data set contains the precipitation retrieval covering the Tibetan Plateau for the time period 2017/05 - 2017/09. A description of the retrieval which consists of two steps (precipitation area delineation, precipitation rates retrieval) can be found in<br/> Kolbe, C.; Thies, B.; Egli, S.; Lehnert, L.; Schulz, M. & Bendix, J. (2019): Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit — Part 1 : Precipitation Area Delineation with Elektro-L2 and Insat-3D. Remote Sensing 11(19), 2302 and<br/> Kolbe, C.; Thies, B.; Turini, N.; Liu, Z. & Bendix, J. (2020): Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D. Remote Sensing 12(13), 2114.
Additional Infos:
Temporal gaps which derive from the lack of Elektro-L2 or Insat-3D satellite data are filled with NA.
Keywords:
| precipitation retrieval | Tibetan Plateau | Random forests | GPM; IMERG | Elektro L |
Associated entities to this dataset:
-------- 1 . other entity --------
Entity name: pretip_precip_retrieval
Entity Description: Half hourly precipitation [mm/hr] in 4 km resolution projected to EPSG: 4326 for the period 2017/05 – 2017/09 covering the Tibetan Plateau.
Tech. Details ...
Attribute(s) ...
Metadata Provider:
Individual: Maik Dobbermann
Contact:
Contact Person:
Individual: Christine Kolbe
Contact:
Online Distribution:
Download File: http://www.lcrs.de/data_pre.do?citid=395
Data Publisher:
Organization: LCRS - Laboratory for Climatology and Remote Sensing
Contact:


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