Fyffe, C.L. et al

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.

Publication date: 2021-10-01

Get the data

This dataset is available under the terms of the Open Government Licence

This data is available as Comma-separated values (CSV), NetCDF or Text (txt)

You must 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

 

Where/When

Study area
Temporal extent
1980-01-01    to    2018-12-31

Provenance & quality

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.

Correspondence/contact details

Fyffe, C.L.
Northumbria University
Engineering and Environment
Newcastle-Upon-Tyne
UK
 catriona.fyffe@northumbria.ac.uk

Authors

Fyffe, C.L.
Northumbria University
Potter, E.
University of Leeds
Fugger, S.
Swiss Federal Institute for Forest, Snow and Landscape Research
Orr, A.
British Antarctic Survey
Fatichi, S.
National University of Singapore
Loarte, E.
Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña
Medina, K.
Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña
Hellström, R.Å.
Bridgewater State University
Bernat, M.
Swiss Federal Institute for Forest, Snow and Landscape Research
Aubry-Wake, C.
University of Saskatchewan
Gurgiser, W.
University of Innsbruck
Perry, L.B.
Appalachian State University
Suarez, W.
Servicio Nacional de Meteorología e Hidrología del Perú
Quincey, D.J.
University of Leeds
Pellicciotti, F.
Northumbria University

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Rights Holder
Northumbria University
 catriona.fyffe@northumbria.ac.uk
Rights Holder
University of Leeds
 commercialisation@leeds.ac.uk

Additional metadata

Topic categories
Climatology / Meteorology / Atmosphere
Keywords
climate modelling,  Cordillera Blanca,  Cordillera Urubamba,  Cordillera Vilcabamba,  Cordillera Vilcanota,  Peru,  Peruvian climate,  Rio Santa,  tropical glaciers,  Weather Research and Forecasting,  WRF
Spatial representation type
Raster
Last updated
04 November 2021 16:58