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Analysis of Forecastability of Rapid Growth Periods of Alaska Wildfires in both Boreal and Tundra Ecosystems.

 
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Manage episode 218528097 series 134166
Content provided by Alaska Center for Climate Assessment. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alaska Center for Climate Assessment or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Alaska experiences extremely variable and increasingly active wildland fire seasons, with 6.6 million acres burned in 2004 and 5.1 million in 2015 respectively. The majority of acres burn in relatively brief periods of extremely warm and dry weather. Our hypothesis is that there are localized weather characteristic and identifiable large-scale weather patterns conducive to such rapid wildfire growth. The likelihood of these patterns can be the target of forecasts over periods of several days to several weeks in order to inform decision-makers and other potentially affected stakeholders. The Hollings Scholars utilized an existing database of daily wildfire acreage back to at least the 1990s. They identified sub-monthly periods of rapid wildfire growth in both boreal and tundra ecosystems and performed analysis of associated atmospheric conditions and synoptic weather patterns using online and UAF available meteorological reanalysis data. This presentation will present the findings of their work.
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75 episodes

Artwork
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Archived series ("Inactive feed" status)

When? This feed was archived on October 12, 2019 02:18 (4+ y ago). Last successful fetch was on August 23, 2019 12:11 (4+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 218528097 series 134166
Content provided by Alaska Center for Climate Assessment. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alaska Center for Climate Assessment or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Alaska experiences extremely variable and increasingly active wildland fire seasons, with 6.6 million acres burned in 2004 and 5.1 million in 2015 respectively. The majority of acres burn in relatively brief periods of extremely warm and dry weather. Our hypothesis is that there are localized weather characteristic and identifiable large-scale weather patterns conducive to such rapid wildfire growth. The likelihood of these patterns can be the target of forecasts over periods of several days to several weeks in order to inform decision-makers and other potentially affected stakeholders. The Hollings Scholars utilized an existing database of daily wildfire acreage back to at least the 1990s. They identified sub-monthly periods of rapid wildfire growth in both boreal and tundra ecosystems and performed analysis of associated atmospheric conditions and synoptic weather patterns using online and UAF available meteorological reanalysis data. This presentation will present the findings of their work.
  continue reading

75 episodes

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