Other Publications

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Other Climate Change Publications at MUCCRI


Other Publications

 

MUCCRI engages in packaging, communicating and disseminating climate change information, knowledge products and innovations to the wider public. A prime feature in our future training and research activities is to provide domestic and regional policy makers with the necessary scientific support, technology and guidance in mitigating and adapting to the impacts of climate change.

Weather and Climate: Webinars


May 2016 NWS Alaska Climate Forecast briefing. [OneNOAA Science Seminars]

Description:

 

Do you lie awake at nights wondering what the upcoming season will be like? Want to place bets with friends and family on next month's weather? If so, good news: The tools and techniques for making monthly and season scale climate forecasts are rapidly changing, with the potential to provide useful forecasts at the month and longer range. Rick Thoman will review recent climate conditions around Alaska, review some forecast tools and finish up with the Climate Prediction Center's forecast for June and the early summer season.

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How will Forests Affect Mountain snow storage in a warming Climate? [United States Geological Survey]

Description:

 

Forests strongly influence snow processes and affect the amount and duration of snow storage on a landscape. Therefore, forest changes, from management activities or natural disturbances, have important consequences for spring and summer soil moisture availability, aquatic habitat, and water supply. Accounting for these effects of forest change on watersheds will become even more important under warming climate conditions, which will reduce the amount and duration of snow storage.

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Freshwater Discharge into the Gulf of Alaska: Historical Conditions and Future Scenarios. [Alaska Center for Climate Assessment and Policy]

Description:

 

Freshwater discharge into the Gulf of Alaska (GOA) is controlled by a complex set of meteorologic and hydrologic processes. We use high resolution energy-balance models to determine the timing, spatial distribution, and composition (rain, snow-melt, ice-melt) of runoff from the entire GOA watershed. Model results demonstrate good agreement with GRACE satellite data in terms of annual amplitudes and long term losses (ice loss).

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