Assessment of snowfall accumulation from satellite and reanalysis products using SNOTEL observations in Alaska

Yang Song, Patrick D. Broxton, Mohammad Reza Ehsani, Ali Behrangi

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The combination of snowfall, snow water equivalent (SWE), and precipitation rate measurements from 39 snow telemetry (SNOTEL) sites in Alaska were used to assess the performance of various precipitation products from satellites, reanalysis, and rain gauges. Observation of precipitation from two water years (2018–2019) of a high-resolution radar/rain gauge data (Stage IV) product was also utilized to give insights into the scaling differences between various products. The outcomes were used to assess two popular methods for rain gauge undercatch correction. It was found that SWE and precipitation measurements at SNOTELs, as well as precipitation estimates based on Stage IV data, are generally consistent and can provide a range within which other products can be assessed. The time-series of snowfall and SWE accumulation suggests that most of the products can capture snowfall events; however, differences exist in their accumulation. Reanalysis products tended to overestimate snow accumulation in the study area, while the current combined passive microwave remote sensing products (i.e., IMERG-HQ) underestimate snowfall accumula-tion. We found that correction factors applied to rain gauges are effective for improving their un-dercatch, especially for snowfall. However, no improvement in correlation is seen when correction factors are applied, and rainfall is still estimated better than snowfall. Even though IMERG-HQ has less skill for capturing snowfall than rainfall, analysis using Taylor plots showed that the combined microwave product does have skill for capturing the geographical distribution of snowfall and precipitation accumulation; therefore, bias adjustment might lead to reasonable precipitation estimates. This study demonstrates that other snow properties (e.g., SWE accumulation at the SNOTEL sites) can complement precipitation data to estimate snowfall. In the future, gridded SWE and snow depth data from GlobSnow and Sentinel-1 can be used to assess snowfall and its distribution over broader regions.

Original languageEnglish (US)
Article number2922
JournalRemote Sensing
Volume13
Issue number15
DOIs
StatePublished - Aug 2021
Externally publishedYes

Keywords

  • Alaska
  • IMERG
  • Precipitation
  • SNOTEL
  • Snowfall accumulation

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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