7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:15:26 UK GEMINI 2.3 Averaged WRF (Weather Research and Forecasting) data for the Rio Santa and Vilcanota regions, Peru, 1980-2018 2021-10-01 publication https://catalogue.ceh.ac.uk/id/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5 10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5 doi: 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 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 Fyffe, C.L. Northumbria University catriona.fyffe@northumbria.ac.uk https://orcid.org/0000-0001-6950-3501 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Potter, E. University of Leeds e.r.potter@leeds.ac.uk https://orcid.org/0000-0001-5273-1292 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Fugger, S. Swiss Federal Institute for Forest, Snow and Landscape Research stefan.fugger@wsl.ch https://orcid.org/0000-0002-4659-4209 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Orr, A. British Antarctic Survey anmcr@bas.ac.uk https://orcid.org/0000-0001-5111-8402 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Fatichi, S. National University of Singapore ceesimo@nus.edu.sg https://orcid.org/0000-0003-1361-6659 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Loarte, E. Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña eloarte@inaigem.gob.pe https://orcid.org/0000-0003-3123-1904 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Medina, K. Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña kmedina@inaigem.gob.pe https://orcid.org/0000-0002-2910-6808 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Hellström, R.Å. Bridgewater State University rhellstrom@bridgew.edu https://orcid.org/0000-0002-6004-5177 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Bernat, M. Swiss Federal Institute for Forest, Snow and Landscape Research maud.bernat@mines-paristech.fr author Aubry-Wake, C. University of Saskatchewan caroline.aubrywake@usask.ca https://orcid.org/0000-0002-9452-8580 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Gurgiser, W. University of Innsbruck Wolfgang.Gurgiser@uibk.ac.at author Perry, L.B. Appalachian State University perrylb@appstate.edu https://orcid.org/0000-0003-0598-6393 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Suarez, W. Servicio Nacional de Meteorología e Hidrología del Perú wil_suarez@hotmail.com https://orcid.org/0000-0002-3409-790X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Quincey, D.J. University of Leeds d.j.quincey@leeds.ac.uk author Pellicciotti, F. Northumbria University francesca.pellicciotti@wsl.ch author Fyffe, C.L. Northumbria University catriona.fyffe@northumbria.ac.uk https://orcid.org/0000-0001-6950-3501 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Northumbria University catriona.fyffe@northumbria.ac.uk owner University of Leeds commercialisation@leeds.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Cordillera Blanca Cordillera Vilcanota Cordillera Urubamba Cordillera Vilcabamba Peru Rio Santa climate modelling Weather Research and Forecasting WRF tropical glaciers Peruvian climate otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 grid English utf8 climatologyMeteorologyAtmosphere 1980-01-01 2018-12-31 -79.5 -70.1 -15 -7.5 Comma-separated values (CSV) NetCDF 4 text NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.