2cf25580-9b79-440f-8505-6230dd377877 eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2023-04-11 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Bias-corrected temperature and precipitation data from the WRF regional climate model output, Cordillera Blanca and Vilcanota-Urubamba regions, Peru, from 1980 to 2018 2023-04-11 creation 2023-04-11 revision 2023-04-11 publication 2023-04-11 released 1.0 https://doi.org/10.5285/2cf25580-9b79-440f-8505-6230dd377877 doi GB/NERC/BAS/PDC/01728 https://data.bas.ac.uk/ NE/S013296/1 award NE/S013318/1 award Please cite this item as: Potter, E., Fyffe, C., Orr, A., Quincey, D., Ross, A., Rangecroft, S., Medina, K., Burns, H., Llacza, A., Jacome, G., Hellstrom, R., Castro, J., Cochachin, A., Montoya, N., Loarte, E., & Pellicciotti, F. (2023). Bias-corrected temperature and precipitation data from the WRF regional climate model output, Cordillera Blanca and Vilcanota-Urubamba regions, Peru, from 1980 to 2018 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/2cf25580-9b79-440f-8505-6230dd377877 Temperature and precipitation data from the Weather Research and Forecasting model are bias-corrected against observations to create these bias-corrected gridded datasets over the Rio Santa River Basin (in the Cordillera Blanca) at 4 km horizontal resolution (d02), the Vilcanota-Urubamba region at 4 km horizontal resolution (d03) and the upper region of the Rio Santa River Basin at 800 m horizontal resolution (d04). The raw WRF data can be found in the related dataset. Full details of the bias-correction can be found in Fyffe et al., (2021). These data were corrected as part of the PEGASUS (Producing EnerGy and preventing hAzards from SUrface water Storage in Peru) and Peru GROWS (Peruvian Glacier Retreat and its Impact on Water Security) projects. The datasets were created to assess past climate in the Peruvian Andes, as a basis to determine future climate in the region, and as an input for glaciological and hydrological models. The data were created using the British Antarctic Survey high performance computer. The creation of this data was conducted under the Peru GROWS and PEGASUS projects, which were both funded by NERC (grants NE/S013296/1 and NE/S013318/1, respectively) and CONCYTEC through the Newton-Paulet Fund. The Peruvian part of the Peru GROWS project was conducted within the framework of the call E031-2018-01-NERC "Glacier Research Circles", through its executing unit FONDECYT (Contract No. 08-2019-FONDECYT). No credit. completed Potter, Emily University of Leeds Researcher author Fyffe, Catriona Northumbria University Researcher author Orr, Andrew British Antarctic Survey Researcher author Quincey, Duncan University of Leeds Researcher author Ross, Andrew University of Leeds Researcher author Rangecroft, Sally University of Plymouth Researcher author Medina, Katy Instituto Nacional de Investigacion en Glaciares y Ecosistemas de Montana Researcher author Burns, Helen University of Leeds Researcher author Llacza, Alan Servicio Nacional de Meteorologia e Hidrologia del Peru Researcher author Jacome, Gerardo Servicio Nacional de Meteorologia e Hidrologia del Peru Researcher author Hellstrom, Robert Bridgewater State University Researcher author Castro, Joshua Universidad Nacional de San Antonio Abad del Cusco Researcher author Cochachin, Alejo Autoridad Nacional del Agua Researcher author Montoya, Nilton Universidad Nacional de San Antonio Abad del Cusco Researcher author Loarte, Edwin Instituto Nacional de Investigacion en Glaciares y Ecosistemas de Montana Researcher author Pellicciotti, Francesca Northumbria University Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Air Temperature EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Maximum/Minimum Temperature EARTH SCIENCE > Atmosphere > Atmospheric Temperature > Surface Air Temperature EARTH SCIENCE > Atmosphere > Precipitation > Precipitation Amount theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Andes Peru WRF bias-correction historical theme Cordillera Blanca including Rio Santa River Basin Peru Vilcanota-Urubamba River Basin Peru Upper Rio Santa River Basin Peru place Atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data supplied under Open Government Licence v3.0 otherRestrictions No restrictions apply. url url crossReference url url crossReference url url crossReference url url crossReference doi doi crossReference url url largerWorkCitation url url largerWorkCitation url url crossReference textTable eng utf8 climatologyMeteorologyAtmosphere -79.5 -76.3 -10.8 -7.5 1980-01-01 2019-01-01 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. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor application/x-hdf application/netcdf bytes 62277025792 https://data.ceda.ac.uk/pdc/GB-NERC-BAS-PDC-01728 WWW:LINK-1.0-http--link Get Data Download data download bytes 62277025792 https://data.ceda.ac.uk/pdc/GB-NERC-BAS-PDC-01728 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The bias correction was carried out linearly for both minimum and maximum daily temperature, and daily precipitation. The WRF data were corrected using observations from 35 (35) precipitation and 26 (34) temperature stations around the Rio Santa (Vilcanota-Urubamba). Observational data was cleaned before use. Details of the bias-correction can be found in Potter et al., (2023) and the supplementary table S1 from Fyffe et al., (2021). For precipitation, the number of wet days is corrected by selecting a threshold for daily precipitation (which varies for each month of the year), theta, below which the model precipitation is set to 0 for that day. The magnitude of precipitation is then corrected using P_corrected = a P_rawWDC where P_corrected is the corrected model precipitation and P_rawWDC is the raw model output with the number of wet days corrected, and a is a constant which varies for each month of the year. The values of theta and a are calculated for each station. For minimum and maximum daily temperature, the formula used is T_corrected = T_raw + a, where T_corrected is the bias-corrected minimum or maximum temperature, T_raw the raw model minimum or maximum temperature adjusted to the observation height, and a is a constant which varies for each month of the year and calculated for each station. The hourly temperature is calculated by scaling the raw WRF output to the bias-corrected minimum and maximum daily temperatures. Data collection: Data were produced using WRF V3.8.1 and bias-corrected using station data from SENHAMI, ANA, CIAD, MINERA ANTAMINA and UNSAAC. Data quality: There are no known quality issues with the data. asNeeded completed