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NCAR Project Supports Native Alaskan Community

RAL Features Feed - August 20, 2019 - 11:47am
Dr. Gochis installing a monitoring system above Purple Lake, July 2019August 20, 2019 - 11:30am

The Annette Island Reserve is an island in Southeast Alaska and is home to the Metlakatla Indian Community (MIC), the only Indian reserve in Alaska. It comprises 87,000 acres which are critical fish and forestry resources to the community. The island locals rely on two primary lakes for drinking water and hydropower, Chester and Purple Lakes.

Categories: Pressroom

Facial recognition technique could improve hail forecasts

A severe storm forms on the Great Plains in 2010

The same artificial intelligence technique typically used in facial recognition systems could help improve prediction of hailstorms and their severity.

Categories: Features, Pressroom

Communicating coastal storm risks through a sense of place

Street with houses destroyed or damaged by Hurricane Ike

NCAR is leading a new project studying how maps and other visualizations can help communicate forecasts and help residents better understand the risks to their communities.

Categories: Features, Pressroom

Congressional visit to NCAR focuses on climate research, improving resilience

Members of the House Select Committee on the Climate Crisis visited NCAR on July 31.

A high-profile congressional panel visited NCAR to learn about the latest climate-related research and strengthening U.S. resilience in the face of climate change.

Categories: Features, Pressroom

Early Warning Forecasts Speeding to Lake Victoria

RAL Features Feed - June 20, 2019 - 8:16am
Early Warning Forecasts Speeding to Lake VictoriaJune 20, 2019 - 8:00am

Countries bordering Lake Victoria, the largest freshwater body in Africa and the biggest inland fishery in the world, lack effective early warning systems to protect those who depend on them. According to the World Meteorological Organization (WMO), thousands of fishermen and small boat operators die on the lake each year; they get caught in deadly storms either because there is no weather warning, they do not receive the warning message, or the message is not presented clearly.

Categories: Pressroom

RAL Science Moves New York State Closer to Renewable Energy Goals

RAL Features Feed - June 18, 2019 - 2:55pm
June 18, 2019 - 2:30pm

"The New York Power Authority (NYPA) and several research partners are moving into the final phase of a solar forecasting project, funded at $1.85 million, that will be able to predict solar energy generation to improve electric grid reliability and economic efficiency of power systems. The innovative solar study supports Governor Andrew M. Cuomo’s Green New Deal, which puts forth a plan to transition New York State to clean energy and sets the nation’s most ambitious goal for carbon-free power.

Categories: Pressroom

Improvement of mountain-wave turbulence forecasts in NOAA’s Rapid Refresh (RAP) Model with the hybrid vertical coordinate system

Publications | RAL - June 1, 2019 - 1:00pm
Kim, Jung-Hoon, Robert D. Sharman, Stanley G. Benjamin, John M. Brown, Sang-Hun Park, Joseph B. Klemp, 2019: Improvement of mountain-wave turbulence forecasts in NOAA’s Rapid Refresh (RAP) Model with the hybrid vertical coordinate system. Weather and Forecasting, OpenSky .

An ultra-fast way of searching weather analogs for renewable energy forecasting

Publications | RAL - June 1, 2019 - 1:00pm
Yang, Dazhi, Stefano Alessandrini, 2019: An ultra-fast way of searching weather analogs for renewable energy forecasting. Solar Energy, OpenSky .

An ultra-fast way of searching weather analogs for renewable energy forecasting

Publications | NSAP - June 1, 2019 - 1:00pm
Yang, Dazhi, Stefano Alessandrini, 2019: An ultra-fast way of searching weather analogs for renewable energy forecasting. Solar Energy, OpenSky .

Improvement of mountain-wave turbulence forecasts in NOAA’s Rapid Refresh (RAP) Model with the hybrid vertical coordinate system

Publications | AAP - June 1, 2019 - 1:00pm
Kim, Jung-Hoon, Robert D. Sharman, Stanley G. Benjamin, John M. Brown, Sang-Hun Park, Joseph B. Klemp, 2019: Improvement of mountain-wave turbulence forecasts in NOAA’s Rapid Refresh (RAP) Model with the hybrid vertical coordinate system. Weather and Forecasting, OpenSky .

New transboundary hydrographic data set for advancing regional hydrological modeling and water resources management

Publications | RAL - June 1, 2019 - 1:00pm
Mason, Lacey A., Andrew D. Gronewold, Michael Laitta, David J. Gochis, Kevin Sampson, Laura Read, Erika Klyszejko, Judy Kwan, Lauren Fry, Kimberly Jones, Peter Steeves, Alain Pietroniro, Mike Major, 2019: New transboundary hydrographic data set for advancing regional hydrological modeling and water resources management. Journal of Water Resources Planning and Management, OpenSky .

New transboundary hydrographic data set for advancing regional hydrological modeling and water resources management

Publications | HAP - June 1, 2019 - 1:00pm
Mason, Lacey A., Andrew D. Gronewold, Michael Laitta, David J. Gochis, Kevin Sampson, Laura Read, Erika Klyszejko, Judy Kwan, Lauren Fry, Kimberly Jones, Peter Steeves, Alain Pietroniro, Mike Major, 2019: New transboundary hydrographic data set for advancing regional hydrological modeling and water resources management. Journal of Water Resources Planning and Management, OpenSky .

Influences of gravity waves on convectively induced turbulence (CIT): A review

Publications | RAL - May 31, 2019 - 1:00pm
Sharman, Robert D., Stanley B. Trier, 2019: Influences of gravity waves on convectively induced turbulence (CIT): A review. Pure and Applied Geophysics, OpenSky .

Influences of gravity waves on convectively induced turbulence (CIT): A review

Publications | AAP - May 31, 2019 - 1:00pm
Sharman, Robert D., Stanley B. Trier, 2019: Influences of gravity waves on convectively induced turbulence (CIT): A review. Pure and Applied Geophysics, OpenSky .

Can artificial intelligence make Earth system modeling more efficient?

Clouds as seen from space.

Scientist at NCAR are experimenting with machine learning to reduce the computational load.

Categories: Features, Pressroom

A spatial propinquity extreme-value model for assessing large-scale process extremes in future climates

Publications | RAL - May 22, 2019 - 1:00pm
Gilleland, Eric, Melissa Bukovsky, Christopher L. Williams, Seth A. McGinnis, Caspar Ammann, Barbara G. Brown, Linda O. Mearns, 2019: A spatial propinquity extreme-value model for assessing large-scale process extremes in future climates. OpenSky .

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