• BGS Hosted Metadata
  •   Search
  •   Map
  •  Sign in

Model-simulated and bias-corrected daily total precipitation from a reanalysis-driven Weather Research and Forecasting simulation of the Beas and Sutlej river basins in the Himalaya, 1980 to 2012

High-resolution simulations of daily precipitation over the Beas and Sutlej basins in the Himalaya from 1980 to 2012 were conducted using the Weather Research and Forecasting (WRF) model by the British Antarctic Survey, Cambridge, UK. It was shown that applying a non-linear bias-correction method to the model precipitation output resulted in much better results. The work formed part of the project 'Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat)' during 2015 to 2018, and was funded by the UK Natural Environmental Research Council grant number NE/N015592/1. The datasets produced are necessary as accurate fine-scale estimates of precipitation over catchments in the Himalaya mountain range are required for providing input to hydrological models, as well as identifying precipitation extremes for assessing hydro-meteorological hazards.

Simple

Date (Creation)
2019-12-05
Date (Revision)
2019-12-05
Date (Publication)
2019-12-05
Date (released)
2019-12-05
Edition

1.0

Unique resource identifier
https://doi.org/10.5285/74fab393-2718-4bdb-b229-190ae72a9fe1
Codespace

doi

Unique resource identifier
GB/NERC/BAS/PDC/01280
Codespace

https://data.bas.ac.uk/

Unique resource identifier
NE/N015592/1
Codespace

award

Other citation details

Please cite this item as: Bannister, D., Orr, A., & Phillips, T. (2019). Model-simulated and bias-corrected daily total precipitation from a reanalysis-driven Weather Research and Forecasting simulation of the Beas and Sutlej river basins in the Himalaya, 1980 to 2012 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/74fab393-2718-4bdb-b229-190ae72a9fe1

Credit

No credit.

Status
Completed
Point of contact
Organisation name Individual name Electronic mail address Role
British Antarctic Survey, Natural Environment Research Council, UK Research & Innovation Bannister, Daniel Author
British Antarctic Survey, Natural Environment Research Council, UK Research & Innovation Orr, Andrew Author
British Antarctic Survey, Natural Environment Research Council, UK Research & Innovation Phillips, Tony Author
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Point of contact
Maintenance and update frequency
As needed
Maintenance note
Completed
Global Change Master Directory (GCMD) Science Keywords
  • EARTH SCIENCE > Atmosphere > Precipitation > Precipitation Amount
  • EARTH SCIENCE > Atmosphere > Precipitation
Theme
  • Himalaya

  • bias-correction

  • high-resolution regional climate modelling

  • hindcast

  • precipitation

Place
  • The Beas and Satluj catchments in the Himalayas Asia

GEMET - INSPIRE themes, version 1.0

  • Atmospheric conditions
Access constraints
Other restrictions
Other constraints
no limitations to public access
Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
License
Other constraints
Open Government Licence v3.0
Use constraints
Other restrictions
Other constraints

This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/

Use constraints
Other restrictions
Other constraints

This data is governed by the NERC data policy and supplied under Open Government Licence v.3

Use constraints
Other restrictions
Other constraints

No restrictions apply.

Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
  • Environment
N
S
E
W
thumbnail




Begin date
1980-01-01
End date
2012-12-31
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.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)
2008-11-12
Cited responsible party
Organisation name Individual name Electronic mail address Role

European Petroleum Survey Group

EPSGadministrator@iogp.org

Publisher
Unique resource identifier
urn:ogc:def:crs:EPSG::3031
Version

6.18.3

Distributor

Distributor contact
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Distributor
Distributor format
Name Version
application/netcdf
text/plain
Units of distribution

bytes

Transfer size
1610612736
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=74fab393-2718-4bdb-b229-190ae72a9fe1

Get Data

Units of distribution

bytes

Transfer size
1610612736
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=74fab393-2718-4bdb-b229-190ae72a9fe1

Get Data

Hierarchy level
Dataset
Statement

Methodology:

We ran version 3.8.1 of the WRF model on a series of three nested domains. The innermost domain had 157 × 100 grid points with a 5 km spatial resolution, and included the Beas and Sutlej river basins. A Lambert conformal conic projection was used, centred on point 23°N, 80°E with one standard parallel at 30°N on a spherical model Earth of radius 6370 km. This was nested within a domain covering the whole of the wider Himalayan region with 124 × 100 grid points and a 15 km spatial resolution, and an outermost domain covering the whole of the Indian subcontinent with 100 × 100 grid points and a 45 km spatial resolution. All domains had 30 vertical levels between the surface and the model top at 50 hPa. The model was forced with atmospheric initial and boundary conditions derived from ERA-Interim reanalysis. The glacier mask used in all three domains was updated using version 5.0 of the Randolph Glacier Inventory. To deal with the complex terrain, the topography was derived from 90 m Shuttle Radar Topography Mission dataset. The model was run from continuously for one calendar year beginning on 15 December, reinitialising every year between 1980 and 2012 (i.e. a total of 33 years) in time zone UTC +5:30. This included a 16-day spin-up period. The model output from the innermost (5 km) domain was archived. We used a power transformation, first proposed by Leander and Buishand (2007), in order to correct the mean and variance statistics of the WRF precipitation output from the model to match the daily in-situ observations. Regression relationships were subsequently derived to allow us to apply a correction to all grid cells in the model innermost domain based on elevation.





Leander, R., and T. A. Buishand (2007), Resampling of regional climate model output for the simulation of extreme river flows, J. Hydrol., 332, 487-496, doi:10.1016/j.jhydrol.2006.08.006.

Data collection:

The model used is version 3.8.1 of the Weather Research and Forecasting (WRF) model.

Data quality:

Both the raw and bias-corrected precipitation output at a spatial resolution of 5 km were compared to precipitation measurements from seven independent sites. For annual as well as seasonal amounts, the bias based on the bias-corrected WRF output is (often considerably) smaller than the raw WRF model output.

Metadata

File identifier
74fab393-2718-4bdb-b229-190ae72a9fe1 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2019-12-05
Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

polardatacentre@bas.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

Himalaya bias-correction high-resolution regional climate modelling hindcast precipitation
GEMET - INSPIRE themes, version 1.0

Atmospheric conditions
Global Change Master Directory (GCMD) Science Keywords

EARTH SCIENCE > Atmosphere > Precipitation EARTH SCIENCE > Atmosphere > Precipitation > Precipitation Amount


Provided by

logo

Share on social sites

Access to the catalogue
Read here the full details and access to the data.




  •   About
  •   Github
  •