TerrSysMP Pre-processing and Post-processing System
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Identification
Title: | Main Title: TerrSysMP Pre-processing and Post-processing System |
Description: | Abstract: TPS (TerrSysmp Pre/Post-Processing System) was developed to generate the input data for the hydrological component of TerrSysMP. The system makes use of mainly CISL NCL, Fortran and Grass tools . The pre-processing system handles remote sensing products from various platforms to generate land use, plant phenology, soil texture, D4 slopes and soil indicators necessary for the community land model (CLM) and the 3D groundwater model ParFlow. The post-processing system is able to handle Grib, netcdf and ParFlow Binary Files to process the outputs from the three components of the TerrSysMP. The system also additionally contains dummy oasis coupling tools for the users to interact with the coupling interface used in TerrSysMP. |
Identifier: | 10.5880/TR32DB.37 (DOI) |
Responsible Party
Creator: | Prabhakar Shrestha (Author) |
Funding Reference: | Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation |
Publisher: | CRC/TR32 Database (TR32DB) |
Publication Year: | 2019 |
Topic
Subjects: | Keywords: SVAT Modelling, TerrSysMP |
Geogr. Information Topic: | Climatology/Meteorology/Atmosphere |
File Details
Filename: | tps.tar.gz |
Data Type: | Software - Software |
File Size: | 847 KB |
Date: | Created: 18.11.2012 |
Mime Type: | Unknown |
Language: | English |
Constraints
Download Permission: | Free |
Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
Metadata Creator: | Prabhakar Shrestha |
Metadata Created: | 28.03.2019 |
Metadata Last Updated: | 28.03.2019 |
Subproject: | Z4 |
Funding Phase: | 3 |
Metadata Language: | English |
Metadata Version: | V50 |
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Dataset Statistics
Page Visits: | 1048 |
Metadata Downloads: | 15 |
Dataset Downloads: | 25 |
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Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.