Published April 6, 2022 | Version v1
Dataset Open

Reconstructed, Long-Term Meteorological Forcing and Mass Balance over Glaciers in High Mountain Asia

  • 1. Swiss Federal Institute, WSL
  • 2. University of Gothenburg
  • 3. University of Nagoya
  • 4. Institute of Tibetan Plateau Research
  • 5. National University of Singapore

Description

%%%%  Reconstructed_WRF_Forcing_HMA.mat %%%%%%%%
A reconstructed, long-term data series of meteorological data for three glaciers in distinct regions of High Mountain Asia. The meteorological forcing consists of hourly Weather Research and Forecasting (WRF) data bias-corrected by high elevation, off-glacier automatic weather station (AWS) data.  The variables of the forcing data consist of 2m air temperature ('T' °C), relative humidity ('RH' %), air pressure ('PRESS' hPa), incoming shortwave ('SWIN' Wm-2) and longwave ('LWIN' Wm-2) radiation, precipitation ('PP', mm hr) and wind speed ('FF' m s-1).  The period of the timeseries ranges from January 1981 to December 2019. 

Data are available for the following glaciers (bias-corrected to the given coordinates / elevation of the off-glacier AWS)
Yala Glacier, Nepal (28.237°N 85.619°E, 5090 m a.s.l.) - 'AWS Yala Basecamp' (AWS Data available on the ICIMOD RDS)
Parlung Glacier Number 4 (29.245°N 96.928°E, 4600 m a.s.l.) - 'AWS4600' (Contact author Wei Yang for AWS data requests)

Mugagangqiong Glacier (32.234°N, 87.485°E, 5850 m a.s.l.) - 'AWS5850' (Contact author Wei Yang for AWS data requests)

 

Data are stored as matlab tables in .mat files. Data were created using Matlab version 2020b. 

 

%%%%  Reconstructed_Mass_Balance_HMA.mat %%%%%%%%

Reconstructed cumulative mass balances for the aforementioned glaciers (values in m w.e.)

 

 

 

 

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