Abstract:
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).
Keywords:
Andes, Peru, WRF, bias-correction, historical
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
| Access Constraints: | No restrictions apply. |
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| Use Constraints: | Data supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
| Creation Date: | 2023-04-11 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
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| Parameters: |
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| Personnel: | |
| Name | UK Polar Data Centre |
| Role(s) | Metadata Author |
| Organisation | British Antarctic Survey |
| Name | Emily R Potter |
| Role(s) | Investigator, Technical Contact |
| Organisation | University of Leeds |
| Name | Catriona Fyffe |
| Role(s) | Investigator |
| Organisation | Northumbria University |
| Name | Andrew Orr |
| Role(s) | Investigator |
| Organisation | British Antarctic Survey |
| Name | Duncan Quincey |
| Role(s) | Investigator |
| Organisation | University of Leeds |
| Name | Andrew N Ross |
| Role(s) | Investigator |
| Organisation | University of Leeds |
| Name | Sally Rangecroft |
| Role(s) | Investigator |
| Organisation | University of Plymouth |
| Name | Katy Medina |
| Role(s) | Investigator |
| Organisation | Instituto Nacional de Investigacion en Glaciares y Ecosistemas de Montana |
| Name | Helen Burns |
| Role(s) | Investigator |
| Organisation | University of Leeds |
| Name | Alan Llacza |
| Role(s) | Investigator |
| Organisation | Servicio Nacional de Meteorologia e Hidrologia del Peru |
| Name | Gerardo Jacome |
| Role(s) | Investigator |
| Organisation | Servicio Nacional de Meteorologia e Hidrologia del Peru |
| Name | Robert Hellstrom |
| Role(s) | Investigator |
| Organisation | Bridgewater State University |
| Name | Joshua Castro |
| Role(s) | Investigator |
| Organisation | Universidad Nacional de San Antonio Abad del Cusco |
| Name | Alejo Cochachin |
| Role(s) | Investigator |
| Organisation | Autoridad Nacional del Agua |
| Name | Nilton Montoya |
| Role(s) | Investigator |
| Organisation | Universidad Nacional de San Antonio Abad del Cusco |
| Name | Edwin Loarte |
| Role(s) | Investigator |
| Organisation | Instituto Nacional de Investigacion en Glaciares y Ecosistemas de Montana |
| Name | Francesca Pellicciotti |
| Role(s) | Investigator |
| Organisation | Northumbria University |
| Parent Dataset: | N/A |
| Reference: | Emily R. Potter, Catriona Fyffe, Andrew Orr, Duncan Quincey, Andrew N. Ross, Sally Rangecroft, Katy Medina, Helen Burns, Alan Llacza, Gerardo Jacome, Robert A. Hellstrom, Joshua Castro, Alejo Cochachin, Nilton Montaya, Edwin Loarte, and Francesca Pellicciotti. (2023) Future projections of extreme precipitation and droughts in the Peruvian Andes. Under review at NPJ climate and atmospheric sciences. Fyffe, C. L., Potter, E., Fugger, S., Orr, A., Fatichi, S., Loarte, E., et al. (2021). The energy and mass balance of Peruvian glaciers. Journal of Geophysical Research: Atmospheres, 126, e2021JD034911. https://doi.org/10.1029/2021JD034911. |
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| Quality: | There are no known quality issues with the data. | |
| Lineage: | 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. |
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| Temporal Coverage: | |
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| Start Date | 2009-01-01 |
| End Date | 2019-01-01 |
| Start Date | 1980-01-01 |
| End Date | 2019-01-01 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | -10.8 |
| Northernmost | -7.5 |
| Longitude | |
| Westernmost | -79.5 |
| Easternmost | -76.3 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Latitude | |
| Southernmost | -15 |
| Northernmost | -12.4 |
| Longitude | |
| Westernmost | -73.9 |
| Easternmost | -70.2 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Latitude | |
| Southernmost | -10 |
| Northernmost | -8.75 |
| Longitude | |
| Westernmost | -77.9 |
| Easternmost | -77.1 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Data Resolution: | |
| Latitude Resolution | N/A |
| Longitude Resolution | N/A |
| Horizontal Resolution Range | 1 km - < 10 km or approximately .01 degree - < .09 degree |
| Vertical Resolution | N/A |
| Vertical Resolution Range | N/A |
| Temporal Resolution | N/A |
| Temporal Resolution Range | N/A |
| Latitude Resolution | N/A |
| Longitude Resolution | N/A |
| Horizontal Resolution Range | 500 meters - < 1 km |
| Vertical Resolution | N/A |
| Vertical Resolution Range | N/A |
| Temporal Resolution | N/A |
| Temporal Resolution Range | N/A |
| Location: | |
| Location | Peru |
| Detailed Location | Cordillera Blanca including Rio Santa River Basin |
| Location | Peru |
| Detailed Location | Vilcanota-Urubamba River Basin |
| Location | Peru |
| Detailed Location | Upper Rio Santa River Basin |
| Data Collection: | Data were produced using WRF V3.8.1 and bias-corrected using station data from SENHAMI, ANA, CIAD, MINERA ANTAMINA and UNSAAC. |
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| Distribution: | |
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| Distribution Media | Online Internet (HTTP) |
| Distribution Size | 57 GB |
| Distribution Format | netCDF |
| Fees | N/A |
| Data Storage: | The dataset comprises 12 files in total. The domains are d02, d03 and d04. The files starting with pr, tasmax, tasmin and thourly are the precipitation, maximum daily temperature, minimum daily temperature and hourly temperature respectively. |