Improving our Understanding of Satellite Observation Sampling Error in Salinity Data 20 January 2023

Improving our Understanding of Satellite Observation Sampling Error in Salinity Data

New study supported by COM, CVP, and GOMO partnership quantifies and characterizes the sampling error for satellite observations of sea surface salinity to be used for Earth system applications.

Mississippi River Basin Flooding Predictability Improved by Linking Patterns in the tropical Pacific and North Atlantic 6 January 2023

Mississippi River Basin Flooding Predictability Improved by Linking Patterns in the tropical Pacific and North Atlantic

Improvements in flood predictability along the Mississippi River by a COM-funded study use a high-quality dataset spanning the past 1,000 years to link tropical Pacific and North Atlantic patterns to regional hydroclimate.

Improved Predictability of Sea Ice Break-Up and Freeze-Up for Arctic Coastal Communities and Ecosystems 2 December 2022

Improved Predictability of Sea Ice Break-Up and Freeze-Up for Arctic Coastal Communities and Ecosystems

A new COM-funded Arctic sea ice study improves predictions of sea ice freeze-up and break-up in coastal regions by identifying local indicators.

Model Results Help Shed Light on Oceanic Drivers of Heat Waves 4 November 2022

Model Results Help Shed Light on Oceanic Drivers of Heat Waves

New study funded by COM improves the understanding of oceanic drivers of the 2014-2016 heat wave on the US West Coast.

Improving Understanding and Predictability of Agricultural Water Withdrawal Using Long-Term Observation Datasets 30 September 2022

Improving Understanding and Predictability of Agricultural Water Withdrawal Using Long-Term Observation Datasets

A new COM-funded study uses long-term datasets to characterize and improve predictability of agricultural water withdrawal across the contiguous US.

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Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.