Surface Energy Balance in Antarctic plateau as measured with automatic weather station during 2014
Minghu Ding1, Anubha Agrawal1, Petra Heil2, Diyi Yang1
1 State Key Laboratory of Severe Weather and Institute of Polar Meteorology, Chinese Academy of Meteorological Sciences, Beijing 100081, China;
2 Antarctic Climate & Ecosystems cooperative Research Center;
Correspondence Author: Anubha Agrawal, email@example.com
AWS data during 2014 collected at PANDA-N station, Antarctica Plateau are analysed. Net Short Wave Radiation (QSWR), net Long Wave Radiation (QLWR), sensible (QH), latent (QL) and subsurface or ground (QG) heat fluxes are computed. Annual averages for QSWR, QLWR, QH, QL and QG of 19.65, -49.16, 26.40, -0.77 and 3.86 W·m-2 were derived based on an albedo value of 0.8. QSWR and QH are the major sources of heat gain to the surface and QLWR is the major component of heat loss from the surface. An iterative method is used to estimate surface temperature in this paper; surface temperature of snow/ice is gradually increased or decreased, thereby changing longwave radiation, sensible, latent and subsurface heat fluxes, so that the net energy balance becomes zero. Mass loss due to sublimation at PANDA-N station for 2014 is estimated to be -12.18 mm w· e· a-1.; and mass gain due to water vapour deposition is estimated to be +3.58 mm w·e·a-1. Thus the net mass loss due to sublimation/deposition is -8.6 mm w·e·a-1. This study computes surface energy fluxes using a model, instead of direct measurements. Also there are missing data especially for wind speed, though 2m air temperature data is almost continuously available throughout the year. The uncertainties of albedo, wind speed and turbulent fluxes cause the most probable error in monthly values of QLWR, QH, QL and QG and surface temperature of about 4 %, 20 %, 50 %, 11 % and 3% respectively.
energy balance, Antarctica, mass loss, CHINARE