Snow

Global Snowfall in Observations, Models, and Reanalyses

On a global scale, we evaluate the ability of observations, reanalyses, and climate models to characterize snowfall in a variety of situations. One particular challenge is estimating snowfall in complex topography, a factor that is difficult to resolve in both models and observations. We are investigating this challenging problem under a seed grant from the University of Wisconsin Center for Climatic Research.

Snowfall Remote Sensing

Radar is one of the primary tools for observing precipitation, including snowfall, but only a small fraction of the Earth’s surface is observed by ground-based weather radars. In recent years, satellite-borne radars and passive microwave radiometers have become important tools for producing near-global observations of snowfall and we are actively investigating methods for interpreting these observations.

Snow Introduction

Snowfall across the globe affects Earth’s energy and water cycles, and can have significant societal impacts. For example, snowfall accumulation affects water levels in major reservoirs, surface heat fluxes, high-latitude ocean salinity, and regional climate. Heavy snowfall events, produced by both synoptic and mesoscale (e.g. lake-effect) systems, can threaten roads and close schools and businesses, thus exerting substantial socioeconomic effects.

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