Seasonal Estimates and Uncertainties of Snow Accumulation from CloudSat Precipitation Retrievals

CloudSat is often the only measurement of snowfall rate available at high latitudes, making it a valuable tool for understanding snow climatology. The capability to provide information on seasonal and subseasonal time scales, however, has yet be explored. In this study, we use subsampled reanalysis estimates predict uncertainties water equivalent (SWE) accumulation measurements various space resolutions. An idealized/simulated subsampling model predicts that may SWE with median percent errors below 50% spatial scales as small 2° × 2°. By converting these predictions differences, can evaluate accumulations against blend gridded during frozen periods. Our are in good agreement results. 25th, 50th, 75th percentiles differences between two all match predicted values within eight percentage points. We interpret results suggest sufficient other, thoroughly vetted, products. This implies useful over remote regions scales.