Cite this dataset as
Chen, H., Liang, Q., Xiao, W. (2021). Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c
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This dataset is available under the terms of the Open Government Licence
Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020
Formats
Comma-separated values (CSV)
TIFF
Spatial information
- Study area
-
- Spatial representation types
-
Raster
Tabular (text) - Spatial reference system
- WGS 84
Temporal information
- Temporal extent
-
2020-03-31 to 2020-03-31
Provenance & quality
Related
Related datasets
Digital elevation models and bathymetry data of Tsho Rolpa glacier lake, Nepal, 2019
This dataset is included in the following collections
Field survey and glacier lake outburst flood risk assessment data of Tsho Rolpa glacial lake, Nepal
Correspondence/contact details
Authors
Other contacts
- Rights holder
-
Loughborough University
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- inlandWaters
- Keywords
- Environmental risk , flood , Glacial lake outburst floods , Hydrodynamic flood modelling , modelling , Modelling , Nepal , Tsho Rolpa Lake
- Funding
- Natural Environment Research Council Award: NE/S005919/1
- Last updated
- 12 March 2024 11:29
More information about these numbers
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By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence
CITE AS: Chen, H.; Liang, Q.; Xiao, W. (2021). Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c