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01/14/2009 - Laboratory Studies of Water Ice Cloud formation under Martian Conditions
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Manage episode 121133764 series 103556
Dr. Laura T. Iraci, NASA Ames Research Center
Water ice clouds are an important part of the martian hydrological cycle, influencing the water and energy budgets. Microphysical models can be used to study the connections between cloud formation and water distribution throughout the system (for example, as surface frost layers), but only if the intricacies of cloud formation and growth are understood and properly parameterized. To that end, we have performed laboratory studies of water ice nucleation on a variety of surrogate materials and have found that initiation of ice is more difficult than often presumed. We will report these results, along with preliminary growth rate observations.
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アーカイブされたシリーズ ("無効なフィード" status)
When? This feed was archived on September 13, 2022 18:20 (). Last successful fetch was on June 10, 2022 09:10 ()
Why? 無効なフィード status. サーバーは持続期間に有効なポッドキャストのフィードを取得することができませんでした。
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 121133764 series 103556
Dr. Laura T. Iraci, NASA Ames Research Center
Water ice clouds are an important part of the martian hydrological cycle, influencing the water and energy budgets. Microphysical models can be used to study the connections between cloud formation and water distribution throughout the system (for example, as surface frost layers), but only if the intricacies of cloud formation and growth are understood and properly parameterized. To that end, we have performed laboratory studies of water ice nucleation on a variety of surrogate materials and have found that initiation of ice is more difficult than often presumed. We will report these results, along with preliminary growth rate observations.
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