Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5754989 | Remote Sensing of Environment | 2017 | 15 Pages |
Abstract
We studied whether the physical snow evolution model SNOWPACK could be used together with the HUT snow emission model to simulate microwave brightness temperatures (TB) of snow cover and to parameterize key a priori variables in the retrieval of snow water equivalent (SWE). We used the extensive in situ measurement data set collected in Sodankylä, Finland, during the Nordic Snow Radar Experiment (NoSREx) campaign in 2009-2013 to model the evolution of snow with SNOWPACK. Resulting snow profiles were validated with manual in situ measurements. Mean agreement scores (for a winter) were 0.85-0.91 for traditional grain size, 0.74-0.75 for optical grain size, 0.65-0.80 for density, and 0.71-0.83 for temperature. Grain sizes modeled with SNOWPACK were compared to effective grain size retrieved from tower-based microwave radiometer measurements. The bias and RMS error of SNOWPACK optical grain size were â0.03 mm and 0.20 mm, respectively, and those of SNOWPACK traditional grain size were 0.30 mm and 0.33 mm, respectively. SNOWPACK snow profiles were used as input to the HUT snow emission model for calculation of TB, which was compared to microwave radiometer measurements. TB calculated with SNOWPACK optical grain size exhibited lower biases (from  â12.5 K to 16.2 K, depending on year and frequency) and RMS errors (from 3.3 K to 18.5 K) than TB calculated with SNOWPACK traditional grain size (bias from  â42.2 K to  â9.9 K, RMS error from 12.0 K to 44.7 K). Grain sizes, temperature, and density modeled with SNOWPACK were used as a priori snow data in the retrieval of SWE from tower-based microwave radiometer observations. The lowest overall bias and RMS error were reached when traditional grain size from SNOWPACK was used, either directly with modelled snow density and temperature ( â33 mm and 58 mm, respectively) or with an effective grain size correction and static snow density and temperature applied (22 mm and 59 mm, respectively).
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Anna Kontu, Juha Lemmetyinen, Juho Vehviläinen, Leena Leppänen, Jouni Pulliainen,