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

Code to compare the mass and energy balance of five Peruvian glaciers, based on outputs from the energy balance model Tethys-Chloris. Also includes code to compare the results of climate sensitivity experiments (where the air temperature and precipitation were varied). The main outputs of the analysis at each of the sites are also stored. Full details about this dataset can be found at https://doi.org/10.5285/5f6661e4-1d34-4b01-8f3a-9fc86c546f73

Weather station data at five on-glacier stations in Peru and the ecohydrological model Tethys-Chloris. Data includes: - Hourly weather station data from Shallap Glacier, Artesonraju Glacier, Cuchillacocha Glacier, Quisoquipina Glacier and Quelccaya Ice Cap. Given as .csv files and as model input files. - The model code used to input the data and set the correct parameters for these sites. - The model code for the point version of Tethys-Chloris, an ecohydrological model which is used in this case to calculate glacier melt and mass balance. Full details about this dataset can be found at https://doi.org/10.5285/b69b8849-6897-47eb-a820-f488f8bca437

This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total nitrogen, total phosphorus, dissolved organic carbon, dissolved inorganic carbon, metal ions and anions. Channel stability assessments using the Pfankuch index are also included. This data was used to analyse the physicochemical changes under glacial retreat, studying rivers in a gradient of glacial coverage, and relate it to the biodiversity of macroinvertebrates. The sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. The study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú. Full details about this dataset can be found at https://doi.org/10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6

This dataset includes taxonomic and abundance data at the of benthic macroinvertebrates in ten rivers within the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. This data was created to analyse the response of aquatic biodiversity to glacial retreat, studying rivers in a gradient of glacial coverage. The sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. The study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú Full details about this dataset can be found at https://doi.org/10.5285/db604b78-c616-471b-9028-2d0826a6f50c