EARTH SCIENCE > Cryosphere > Snow/Ice > Snow Melt
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This dataset contains gridded daily surface melt data for Antarctica estimated from passive microwave observations from the Scanning Microwave Multichannel Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager Sounder (SSMIS) spaceborne sensors and covering the 1978-2017 period. Also provided are the latitudes and longitudes of the grid and computed melt days for each austral summer (Dec-Jan-Feb) during the period. Funding was provided by NSF grants PLR 1341695 and PLR 1443443.
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The Weather Research and Forecasting (WRF) model output over the whole of Peru at 12 km horizontal resolution and 3 hourly output (domain 1, d01), the Rio Santa River Basin (in the Cordillera Blanca) at 4 km horizontal resolution and hourly output (domain 2, d02), the Vilcanota-Urubamba region at 4 km horizontal resolution and hourly output (domain 3, d03) and the upper region of the Rio Santa River Basin at 800 m horizontal resolution and hourly output (domain 4, d04). Domains 1 to 3 cover the period from 1980 to 2018, domain 4 covers from 2009 to 2018. Full details of the WRF model setup 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).