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Figure. Snowfall products and report for the snowstorm on March 15, 2021 around 4:30 UTC, (a) satellite-radar merged snowfall rate (mSFR); (b) MRMS radar instantaneous snowfall rate; (c) SNODAS hourly snowfall analysis; (d) mPING crowdsourcing weather report.

Satellites Fill in Radar Gaps in Snowstorm

Some western and central states experienced a strong winter storm on March 13-15. The experimental satellite-radar merged snowfall rate product (mSFR) previously covered in ESSIC News demonstrated how satellites could fill in radar gaps in regions with limited or no radar coverage.

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Simulated daily surface (0-10 cm) soil moisture at 00Z on 25 September 2014 over the Western Land Data Assimilation System (WLDAS) domain. The inset map highlights the 1 km grid spacing of WLDAS products, and the black line encompasses the California Region basin.

A High‐Resolution Land Data Assimilation System Optimized for the Western United States

ESSIC/CISESS Assistant Research Scientist Jessica M. Erlingis is first author on a new paper out in Journal of the American Water Resources Association titled “A High‐Resolution Land Data Assimilation System Optimized for the Western United States”. Her co-authors include ESSIC/CISESS scientists Bailing Li and Sujay Kumar as well as researchers from NASA Goddard Space Flight Center, University of Saskatchewan, Jet Propulsion Laboratory, and the California State Water Resources Control Board.

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The intro slide to the AMS 101 presentation

AMS One-Slide Summaries Now Available

Thank you to Deb Baker, CISESS Coordinator, and Ralph Ferraro, Chief of the NOAA/NESDIS Satellite Climate Studies Branch, for compiling the summary slides for STAR and Cooperative Institute presentations from the American Meteorological Society’s 2021 Annual Meeting!

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The GOES-16 satellite far above Earth

GOES-16 Chlorophyll A Retrievals using Deep Learning

On January 21, ESSIC/CISESS Assistant Research Scientist Guangming Zheng gave a presentation on retrieving chlorophyll concentrations from the GOES-16 Advanced Baseline Imager (ABI) using Deep Learning techniques as part of the 2nd NOAA Workshop on Leveraging AI in Environmental Sciences.

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A tall iceberg melts in ocean waters

Upper Ocean Heat Content Hits Record High in 2020, Finds Mishonov, Reagan, Colleagues

Since the industrial revolution, the emission of greenhouse gasses by human activities has been mainly responsible for global warming. This increased concentration of greenhouse gases in the atmosphere has caused an energy imbalance in the Earth’s climate system, with the world’s oceans absorbing 90% of this excess heat. This has led to an increase in ocean heat content (OHC) and sea level rise. In 2000, Levitus et al. developed the first global OHC time series, identifying a robust long-term ocean warming from 1948-98. Since then, many other analyses of global and regional OHC data have been performed.

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