NERC Data Catalogue Service
Downscaled ERA5 monthly precipitation data using Multi-Fidelity Gaussian Processes between 1980 and 2012 for the Upper Beas and Sutlej Basins, Himalayas
The dataset is the output of a statistical model which downscales ERA5 monthly precipitation data using gauge measurements from the Upper Beas and Sutlej Basins in the Western Himalayas. Multi-Fidelity Gaussian Processes (MFGPs) are used to generate more accurate precipitation values between 1980 and 2012, including over ungauged areas of the basins. MFGPs are a probabilistic machine learning method that provides principled uncertainty estimates via the prediction of probability distributions. These predictions can therefore be used to estimate the likelihood of extreme precipitation events which have led to droughts, floods, and landslides.
Funding from UK Engineering and Physical Sciences Research Council [grant number: 2270379].
Simple
- Date (Creation)
- 2023-08-09
- Date (Revision)
- 2023-08-09
- Date (Publication)
- 2023-08-09
- Date (released)
- 2023-08-09
- Edition
- 1.0
- Unique resource identifier
- https://doi.org/10.5285/b2099787-b57c-44ae-bf42-0d46d9ec87cc
- Codespace
- doi
- Unique resource identifier
- GB/NERC/BAS/PDC/01769
- Codespace
- https://data.bas.ac.uk/
- Other citation details
- Please cite this item as: Tazi, K. (2023). Downscaled ERA5 monthly precipitation data using Multi-Fidelity Gaussian Processes between 1980 and 2012 for the Upper Beas and Sutlej Basins, Himalayas (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/b2099787-b57c-44ae-bf42-0d46d9ec87cc
- Credit
- No credit.
- Status
- completed Completed
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
- Maintenance and update frequency
- asNeeded As needed
- Maintenance note
- completed Completed
- Theme
-
- ERA5
- Himalayas
- downscaling
- machine learning
- precipitation
- Place
-
- Upper Beas Basin, Himalayas Asia
- Upper Sutlej Basin, Himalayas Asia
- GEMET - INSPIRE themes, version 1.0
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations to public access
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- license License
- Other constraints
- Open Government Licence v3.0
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- Data supplied under Open Government Licence v3.0
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- No restrictions apply.
- Unique resource identifier
- url
- Codespace
- url
- Association Type
- crossReference Cross reference
- Unique resource identifier
- doi
- Codespace
- doi
- Association Type
- crossReference Cross reference
- Unique resource identifier
- url
- Codespace
- url
- Association Type
- crossReference Cross reference
- Spatial representation type
- textTable Text, table
- Metadata language
- engEnglish
- Character set
- utf8 UTF8
- Topic category
-
- Climatology, meteorology, atmosphere
))
- Begin date
- 1980-01-01
- End date
- 2012-12-01
Vertical extent
- Minimum value
- 306.0
- Maximum value
- 6295.0
Vertical CS
Vertical datum
- Supplemental Information
- It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.
Distributor
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
- Name
- text/plain
- Name
- text/csv
- Name
- application/x-hdf
- Name
- application/netcdf
- Units of distribution
- bytes
- Transfer size
- 234881024
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Units of distribution
- bytes
- Transfer size
- 234881024
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Units of distribution
- bytes
- Transfer size
- 234881024
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Units of distribution
- bytes
- Transfer size
- 234881024
- OnLine resource
-
Get Data
(
WWW:LINK-1.0-http--link
)
Download data
- Hierarchy level
- dataset Dataset
- Statement
-
Methodology:
The MFGP model is trained using all stations data from Bannister et al. and ERA5 data over the study area (30 degrees North - 33.5 degrees North, 75.5 degrees East - 83 degrees East) between 1980 and 2012. The model takes as inputs time, latitude, longitude, and elevation. The raw model outputs the predictions at ERA5 and gauge fidelity levels in the form of normal distributions. The distributions need to be transformed to get the monthly precipitation values in mm/day. The dataset includes the raw mean and variance of the model output for both fidelity levels. The dataset also includes the transformed mean and upper and lower 95 percent confidence interval bounds for the high-fidelity output. This corresponds to the accurately downscaled data. The user can transform the data on their own via inverse Box-Cox transformations using the scaling factors separately provided.
Data collection:
Python v3.10
Data quality:
Data is a model output so should be complete. NaNs in the netCDF file correspond to locations outside of the study areas.
- File identifier
- b2099787-b57c-44ae-bf42-0d46d9ec87cc XML
- Metadata language
- engEnglish
- Character set
- utf8 UTF8
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2023-08-09
- Metadata standard name
- ISO 19115 Geographic Information - Metadata
- Metadata standard version
- ISO 19115:2003(E)
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
Overviews
Spatial extent
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