Simulated Geophysical Noise in Sea Ice Concentration Estimates of Open Water and Snow-Covered Sea Ice

Sea ice concentration algorithms using brightness temperatures (
$T_{B}$
) from satellite microwave radiometers are used to compute sea ice concentration (
$c_{\text{ice}}$
), sea ice extent, and generate sea ice climate data records. Therefore, it is important to minimize the sensitivity of
$c_{\text{ice}}$
estimates to geophysical noise caused by snow/sea ice thermal microwave emission signature variations, and presence of WV and clouds in the atmosphere and/or near-surface winds. In this study, we investigate the effect of geophysical noise leading to systematic
$c_{\text{ice}}$
biases and affecting
$c_{\text{ice}}$
standard deviations (STD) using simulated top of the atmosphere
$T_{B}$
s over open water and 100% sea ice. We consider three case studies for the Arctic and the Antarctic and eight different
$c_{\text{ice}}$
algorithms, representing different families of algorithms based on the selection of channels and methodologies. Our simulations show that, over open water and low
$c_{\text{ice}}$
, algorithms using gradients between V-polarized 19-GHz and 37-GHz
$T_{B}$
s show the lowest sensitivity to the geophysical noise, while the algorithms exclusively using near-90-GHz channels have by far the highest sensitivity. Over sea ice, the atmosphere plays a much smaller role than over open water, and the
$c_{\text{ice}}$
STD for all algorithms is smaller than over open water. The hybrid and low-frequency (6 GHz) algorithms have the lowest sensitivity to noise over sea ice, while the polarization type of algorithms has the highest noise levels.