Abstract

Falling snow alters its own microwave signatures when it begins to accumulate on the ground, making retrieval of snowfall challenging. This paper investigates the effects of snow-cover depth and cloud liquid water content on microwave signatures of terrestrial snowfall using reanalysis data and multi-annual observations by the Global Precipitation Measurement (GPM) core satellite with particular emphasis on the 89 and 166 GHz channels. It is found that over shallow snow cover (snow water equivalent (SWE) ≤100 kg m−2) and low values of cloud liquid water path (LWP 100–150 g m−2), the scattering of light snowfall (intensities ≤0.5 mm h−1) is detectable only at frequency 166 GHz, while for higher snowfall rates, the signal can also be detected at 89 GHz. However, when SWE exceeds 200 kg m−2 and the LWP is greater than 100–150 g m−2, the emission from the increased liquid water content in snowing clouds becomes the only surrogate microwave signal of snowfall that is stronger at frequency 89 than 166 GHz. The results also reveal that over high latitudes above 60°N where the SWE is greater than 200 kg m−2 and LWP is lower than 100–150 g m−2, the snowfall microwave signal could not be detected with GPM without considering a priori data about SWE and LWP. Our findings provide quantitative insights for improving retrieval of snowfall in particular over snow-covered terrain.

Highlights

  • Passive microwave (PMW) retrieval of snowfall is one of the most challenging components of precipitation monitoring from space, with the largest error in precipitation retrieval often related to snowfall [1,2,3,4,5,6] over snow cover [7]

  • We mostly focus on the high-frequency channels at 89 and 166 GHz that are critical for snowfall retrieval

  • We investigate the marginal probability distribution function (PDF) and the spatial distribution of the multi-year liquid water path (LWP) with respect to the snowfall occurrence as well as snowfall rate over dry snow-covered areas

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Summary

Introduction

Passive microwave (PMW) retrieval of snowfall is one of the most challenging components of precipitation monitoring from space, with the largest error in precipitation retrieval often related to snowfall [1,2,3,4,5,6] over snow cover [7]. Falling snow and ice particles scatter the upwelling surface radiation at high microwave frequencies and decrease the observed brightness temperatures (Tb) at the top of the atmosphere. This radiometric signal, is much weaker than the overland rainfall scattering [8,9,10] and can be significantly masked due to the confounding effects of increased cloud liquid water path (LWP) during snowfall and reduced surface emissivity as a result of snow accumulation on the ground. The nonspherical snow particles usually have lower densities than raindrops with equal mass, which causes them to exhibit weaker scattering [9,10,16]

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