WPO-Funded Research Collects Critical Forecast Improvement Data during Hurricane Ian
According to NOAA, Hurricane Ian became the 15th Billion-Dollar disaster in 2022. Landfall impacts from Ian are still being felt, as residents of the Florida…
Without accurate, precise, and targeted observations, we cannot measure or predict. We are constantly working with the scientific community to improve the scope and capabilities of our observing platforms so we can provide tools that bring back data when and where they need it for impactful forecast improvement.
The Observations Program supports research to advance and improve weather observations technology critical for the detection and forecasting of hazardous weather phenomena. The Observations Program works closely with the research and operational communities in government, academia, and private industry to develop and transition weather observing technology into operations.
The goals of the Observations program directly align with the legislation mandated by The Weather Act of 2017: advance observations to improve weather research and forecasting, particularly for high impact weather, to protect life and property. The Observations team has a strong focus on building a Climate-Ready Nation by improving environmental predictions and enhancing comprehensive observations and monitoring systems.
We support the objectives in the Priorities for Weather Research report by funding projects that aim to improve data assimilation of new observations and increase observational capabilities for weather research.
According to NOAA, Hurricane Ian became the 15th Billion-Dollar disaster in 2022. Landfall impacts from Ian are still being felt, as residents of the Florida…
Watch the video on NOAA’s Ocean Today > Transcript The most fascinating thing about hurricanes, to me, is how the atmosphere and ocean work together…
The Observations team is looking for reviewers for the Observations competition within the WPO’s FY23 Funding Opportunity. If you are interested and would like to…
According to NOAA, Hurricane Ian became the 15th Billion-Dollar disaster in 2022. Landfall impacts from Ian are still being felt, as residents of the Florida…
Research reveals direct measurements of wind and temperature from aircraft provide the highest valued inputs into Numerical Weather Prediction (NWP) models compared to weather balloon…
In partnership with NOAA, Saildrone Inc. is deploying seven ocean drones to collect data from hurricanes during the 2022 hurricane season with the goal of…
The Observations Program at the Weather Program Office has partnered with WindBorne Systems, Inc. to fund the development of an advanced weather balloon. This technology…
Proposals were due by November 17th, 2022.
Within the Operational WSR-88D Hydrometeor Classification Algorithm
PI: James Kurdzo, MIT Lincoln Laboratory
For Enhanced Weather Forecasting
PIs: Michael McPartland, Jason English, MIT Lincoln Laboratory, CIRES (University of Colorado)
For Improved Hurricane Intensity Prediction
PIs: Dongxiao Zhang, Jun Zhang, CICOES (University of Washington), CIMAS (University of Miami)
For Use in Numerical Weather Prediction in NOAA
PI: Clifford Mass, University of Washington
For improved high impact weather forecasts
PI: Nusrat Yussouf, CIMMS (University of Oklahoma)
From Blended In-situ and Satellite Observations
PIs: Peter Romanov, Cezar Kongoli, City College of New York (NOAA-CESSRT), ESSIC (University of Maryland)
To investigate spatiotemporal variability in urban heat and associated heat advection
PI: Sandip Pal, Texas Tech University
To Improve Situational Awareness and Operational Physics Routines Used to Predict Tropical Cyclone Structure and Intensity
PI: Jun Zhang, CIMAS (University of Miami)
From Dynamically Targeted Long-Range Long-Duration Balloons
PI: Andrey Sushko, Windborne Systems Inc.
For Enhancing Great Lakes Snowfall Forecasting
PI: Claire Pettersen, University of Wisconsin-Madison
Using In Situ Mesonet Observations
PI: Jerald Brotzge, University at Albany – SUNY
Using a Dense Network of In Situ Observations
Nick Bassill, University at Albany – SUNY
Using UAS-Based Optical Imagery
PI: Jamie Dyer, Mississippi State University
From Non-Meteorological Radar Data Artifacts
PI: Jeff Brogden, CIMMS (University of Oklahoma)
From Innovative Expendable Drifting Buoys
Luca Centurioni, University of California – San Diego
For Snowfall Properties and Blizzard Parameters
PI: Norman Wood, Aaron Kennedy, University of Wisconsin-Madison, University of North Dakota
Using Optical UAV and SAR
PI: Leila Hashemi-Beni, NC Agricultural & Technical State University
And its interaction with the lower atmosphere in areas of complex terrain for improved prediction of water and weather
PI: Gijs de Boer, CIRES (University of Colorado)
The National Oceanic and Atmospheric Administration (NOAA) Emerging Technologies Workshop (ETW) is an event showcasing the latest innovations designed to collect, analyze, and synthesize environmental data.
The 2021 virtual workshop highlighted a wide variety of innovative technologies. Workshop attendees represented all six NOAA Line Offices in addition to stakeholders from other federal agencies, academia, and the private sector. This event aimed to improve the impact of emerging technologies through the end-to-end processes of Discovery Development, and Deployment/Transition.
Observations Program Manager
Observations Coordinator
Project Manager, Phased Array Radar Acquisition
Observations Coordinator