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  • The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic science, and international Antarctic efforts. AMPS produces numerical guidance from the Weather Research and Forecasting (WRF) model with twice-daily forecasts covering Antarctica. The effort is sponsored by the National Science Foundation (NSF) Office of Polar Programs and the NSF UCAR and Lower Atmospheric Facilities Oversight Section. It is a collaboration of the National Center for Atmospheric Research and the Byrd Polar Research Center of The Ohio State University. This dataset contains 4.5km numerical weather prediction data.

  • The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic science, and international Antarctic efforts. AMPS produces numerical guidance from the Weather Research and Forecasting (WRF) model with twice-daily forecasts covering Antarctica. The effort is sponsored by the National Science Foundation (NSF) Office of Polar Programs and the NSF UCAR and Lower Atmospheric Facilities Oversight Section. It is a collaboration of the National Center for Atmospheric Research and the Byrd Polar Research Center of The Ohio State University.

  • The Antarctic Mesoscale Prediction System (AMPS) is an experimental, real-time numerical weather prediction capability that provides support for the United States Antarctic Program, Antarctic science, and international Antarctic efforts. AMPS produces numerical guidance from the Weather Research and Forecasting (WRF) model with twice-daily forecasts covering Antarctica. The effort is sponsored by the National Science Foundation (NSF) Office of Polar Programs and the NSF UCAR and Lower Atmospheric Facilities Oversight Section. It is a collaboration of the National Center for Atmospheric Research and the Byrd Polar Research Center of The Ohio State University. This dataset contains 6km numerical weather prediction data.

  • This dataset contains atmospheric data from the WRF (Weather Research and Forecasting) model. The model is located over the Dudh Koshi Valley, and the model was run for July 2013. WRF version 3.8 was used. This data has been used to create and examine the effectiveness of a new debris-covered glacier representation in the WRF model. There are eight NetCDF files containing the data: The model with the default glacier landmask in the model (WRF_DudhKoshiHimalayas_201306_CleanIceGlaciers.nc); the model with a new representation of debris-covered glaciers (WRF_DudhKoshiHimalayas_201306_DebrisCoverGlaciers.nc); and six sensitivity tests varying albedo, emissivity and roughness length (WRF_DudhKoshiHimalayas_201306_DebrisCoverGlaciers_albedoHIGH.nc, etc).

  • This dataset collection contains momentum budget and snow removal experiment model data from Dudh Koshi Valley in the Nepalese Himalaya. The Weather Research and Forecasting (WRF) model was run for two months, July 2013 and December 2014, to investigate the momentum budget components of the winds in the Dudh Koshi Valley. The two runs were repeated with the permanent snow and ice changed to rock. This data was collected as part of the Dynamical drivers of the local wind regime in a Himalayan valley project (NE/L002507/1).

  • This dataset contains momentum budget model data from Dudh Koshi Valley in the Himalayas. The Weather Research and Forecasting (WRF) model was run for two months, July 2013 and January 2014, to investigate the momentum budget components of the winds in the Dudh Koshi Valley. This data was collected as part of the Dynamical drivers of the local wind regime in a Himalayan valley project (NE/L002507/1). The WRF model has been modified to output the momentum budget components. There are four nested domains, of 27 km, 9 km, 3 km and 1 km resolution. The inner 1 km is 130 km by 130 km, centred on 27.98N, 86.76E.

  • This dataset contains momentum budget snow removal experiment model data from Dudh Koshi Valley in the Nepalese Himalaya. The Weather Research and Forecasting (WRF) model was run for two months, July 2013 and January 2014, to investigate the momentum budget components of the winds in the Dudh Koshi Valley. All the permanent snow and ice in the model has been changed to rock. This data was collected as part of the Dynamical drivers of the local wind regime in a Himalayan valley project (NE/L002507/1). The WRF model has been modified to output the momentum budget components. There are four nested domains, of 27 km, 9 km, 3 km and 1 km resolution. The inner 1 km is 130 km by 130 km, centred on 27.98N, 86.76E.

  • 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).

  • Weather Research and Forecasting (WRF) model output for Larsen Ice Shelf run at 4km resolution. Modelling was carried out to support the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project during the 2010-2011 field season.

  • Weather Research and Forecasting (WRF) model output for Larsen Ice Shelf, run at 1km resolution. Modelling was carried out to support the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project during the 2010-2011 field season.