Evaluation of a cloud-gap-filled MODIS daily snow cover product over the Pacific Northwest USA

摘要: Summary The cloud-gap-filled (CGF) method developed by Hall et al. (2010) is a novel for efficiently mitigating cloud obscuration using the most recently available cloud-free observations from prior days at each pixel. In this paper, we extend not only but also subsequent observations. Four CGF 3 or 5 days are applied to standard MODerate resolution Imaging Spectroradiometer (MODIS) snow cover product and evaluated against 3-years, in situ 244 SNOwpack TELemetry (SNOTEL) stations. Results indicate that daily maps obviously different due shifting. However, monthly annual reductions similar. Although overall accuracies under all-sky conditions of very similar, images have less underestimation errors, except during melting period, higher accuracies. When observation interval expanded 5 days, able fill more obscurations increase ∼30% ∼37%, respectively; however, they introduce slightly uncertainty. Monthly regional analyses efficient snow-covered period high-elevation zones.