Averaged WRF (Weather Research and Forecasting) data for the Rio Santa and Vilcanota regions, Peru, 1980-2018

Averaged outputs from the WRF (Weather Research and Forecasting) model for the Rio Santa and Vilcanota, Urubamba and Vilcabamba catchments in Peru. Averaging was applied over the entire model period from 1980 to 2018. Data includes: - Averaged precipitation and air temperature records and the related standard deviation at a 4km resolution (annually and for each season) for each catchment. Monthly averaged and monthly totals of air temperature and precipitation (averaged over each catchment). - WRF model input elevation for each catchment. - WRF total precipitation and maximum/minimum air temperature at the location of five on-glacier weather stations (Artesonraju Glacier, Shallap Glacier, Cuchillacocha Glacier, Quisoquipina Glacier and Quelccaya Ice Cap) at a daily resolution from 1980 to 2018. Full details about this dataset can be found at https://doi.org/10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5

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Identification info

Metadata Language
English (en)
Character set
utf8
Dataset Reference Date ()
2021-10-01
Identifier
https://catalogue.ceh.ac.uk/id/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5
Identifier
doi: / 10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5
Other citation details
Fyffe, C.L., Potter, E. , Fugger, S., Orr, A., Fatichi, S., Loarte, E., Medina, K., Hellström, R.Å., Bernat, M., Aubry-Wake, C., Gurgiser, W., Perry, L.B., Suarez, W., Quincey, D.J., Pellicciotti, F. (2021). Averaged WRF (Weather Research and Forecasting) data for the Rio Santa and Vilcanota regions, Peru, 1980-2018. NERC EDS Environmental Information Data Centre 10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5
  Northumbria University - Fyffe, C.L.
  University of Leeds - Potter, E.
  Swiss Federal Institute for Forest, Snow and Landscape Research - Fugger, S.
  British Antarctic Survey - Orr, A.
  National University of Singapore - Fatichi, S.
  Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña - Loarte, E.
  Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña - Medina, K.
  Bridgewater State University - Hellström, R.Å.
  Swiss Federal Institute for Forest, Snow and Landscape Research - Bernat, M.
  University of Saskatchewan - Aubry-Wake, C.
  University of Innsbruck - Gurgiser, W.
  Appalachian State University - Perry, L.B.
  Servicio Nacional de Meteorología e Hidrología del Perú - Suarez, W.
  University of Leeds - Quincey, D.J.
  Northumbria University - Pellicciotti, F.
  Northumbria University - Fyffe, C.L.
  Northumbria University
  University of Leeds
  NERC EDS Environmental Information Data Centre
  NERC EDS Environmental Information Data Centre
Keywords
  • climate modelling
  • Weather Research and Forecasting
  • WRF
  • tropical glaciers
  • Peruvian climate
  • Cordillera Blanca
  • Cordillera Vilcanota
  • Cordillera Urubamba
  • Cordillera Vilcabamba
  • Peru
  • Rio Santa
Limitations on Public Access
otherRestrictions
Other constraints
no limitations
Use constraints
otherRestrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions
Other constraints
If you reuse this data, you should cite: Fyffe, C.L., Potter, E. , Fugger, S., Orr, A., Fatichi, S., Loarte, E., Medina, K., Hellström, R.Å., Bernat, M., Aubry-Wake, C., Gurgiser, W., Perry, L.B., Suarez, W., Quincey, D.J., Pellicciotti, F. (2021). Averaged WRF (Weather Research and Forecasting) data for the Rio Santa and Vilcanota regions, Peru, 1980-2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5
Spatial representation type
grid
Topic category
  • Climatology, meteorology, atmosphere
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Begin date
1980-01-01
End date
2018-12-31
 

Distribution Information

Data format
  • Comma-separated values (CSV) ()

  • NetCDF ( 4 )

  • Text (txt) ()

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Quality Scope
dataset
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Report

Dataset Reference Date ()
2010-12-08
Statement
The Weather Research and Forecasting (WRF) model version 3.8.1 was run from 1980 to 2018 over an outer domain with 12 km horizontal resolution covering Peru, and two inner domains with 4 km horizontal resolution covering the two study catchments (the Rio Santa and Vilcanota catchments). The precipitation and temperature data were bias-corrected against in-situ precipitation and air temperature observations in both regions. For the bias correction, the model precipitation output is first corrected for the number of wet days, then a constant multiplicative correction is applied to adjust the magnitude. Furthermore, the model minimum and maximum daily temperatures are corrected additively, with the correction amount constant across the domain for the maximum daily temperature, and variable with latitude, longitude and height for minimum daily temperature.

Metadata

File identifier
7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5 XML
Metadata Language
English (en)
Character set
ISO/IEC 8859-1 (also known as Latin 1)
Resource type
dataset
Hierarchy level name
dataset
Metadata Date
2022-05-18T12:21:31
Metadata standard name
UK GEMINI
Metadata standard version
2.3
  Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
 
 

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