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Spatio-seasonal conditional risk of upward lightning over the eastern Alps
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UIBK - view all
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Last updatedabout 1 year ago
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Overview

The different datasets contain modeled cumulative number of hours exceeding a conditional probability of upward lightning over 45 ◦ N-50 ◦ N and 8 ◦ E-17 ◦ E at hourly and 1 km2 grid cell resolution. The models are random forests based on direct upward lightning observations at the Gaisberg Tower in Salzburg, Austria (2000 to 2015 and mid 2020-2023) linked to 35 larger-scale meteorological reanalysis data. The modeled probabilities are called conditional due to a balanced model setup of equally large situations with and without upward lightning at the Gaisberg Tower. Data are used in the article "Spatio-seasonal conditional risk of upward lightning over the eastern Alps" (https://doi.org/10.48550/arXiv.2403.18853)

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KeyValue
harvest_object_id083b8f4c-253a-4ca1-9ea3-c79d01a02dbb
harvest_source_id39bb87e5-d63e-483d-a85a-62f6a1675bc4
harvest_source_titleCCCA Data Server
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  • Fall/autumn conditional risk for network detectable upward lightning

  • Winter conditional risk for network detectable upward lightning

  • Summer conditional risk for network detectable upward lightning

  • Spring conditional risk for network detectable upward lightning

  • Winter conditional risk for network detectable and undetectable upward lightning

  • Summer conditional risk for network detectable and undetectable upward lightning

  • Spring conditional risk for network detectable and undetectable upward lightning

  • Fall/autumn conditional risk for network detectable and undetectable upward lightning

  • September conditional risk for network detectable upward lightning

  • October conditional risk for network detectable upward lightning

  • November conditional risk for network detectable upward lightning

  • May conditional risk for network detectable upward lightning

  • March conditional risk for network detectable upward lightning

  • June conditional risk for network detectable upward lightning

  • July conditional risk for network detectable upward lightning

  • January conditional risk for network detectable upward lightning

  • February conditional risk for network detectable upward lightning

  • February conditional risk for network detectable upward lightning

  • December conditional risk for network detectable upward lightning

  • August conditional risk for network detectable upward lightning

  • April conditional risk for network detectable upward lightning

  • September conditional risk for network detectable and undetectable upward lightning

  • October conditional risk for network detectable and undetectable upward lightning

  • November conditional risk for network detectable and undetectable upward lightning

  • May conditional risk for network detectable and undetectable upward lightning

  • March conditional risk for network detectable and undetectable upward lightning

  • June conditional risk for network detectable and undetectable upward lightning

  • July conditional risk for network detectable and undetectable upward lightning

  • January conditional risk for network detectable and undetectable upward lightning

  • January conditional risk for network detectable and undetectable upward lightning

  • February conditional risk for network detectable and undetectable upward lightning

  • December conditional risk for network detectable and undetectable upward lightning

  • August conditional risk for network detectable and undetectable upward lightning

  • April conditional risk for network detectable and undetectable upward lightning