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Articles 1 - 3 of 3
Full-Text Articles in Climate
Challenges Associated With Space Weather Analysis And Prediction, John Lanicci
Challenges Associated With Space Weather Analysis And Prediction, John Lanicci
Space Traffic Management Conference
The term “space weather” is typically used to describe environmental conditions in the region extending from the sun’s surface, through the interplanetary medium, to the earth’s magnetic field and upper atmosphere, with a focus on those conditions that can affect the earth, its technological systems, and population. Space weather conditions are monitored continuously by a number of agencies around the world. These agencies use both satellite- and ground-based measurements to build analyses and employ predictive models that form the basis for impacts-based products dealing with myriad users in satellite operations, the utility industry, aviation, and satellite-based communications, to name a …
Reduction Of Transportation Greenhouse Gas Emissions To Mitigate Climate Change Impacts, Mary Snow, Richard Snow
Reduction Of Transportation Greenhouse Gas Emissions To Mitigate Climate Change Impacts, Mary Snow, Richard Snow
Publications
Weather affects almost all modes of transportation in a modern society, and likewise, transportation has an enormous impact on the weather. Transportation greenhouse gas emissions (GHG) impact climate change, which impacts transportation in return. Reduction of transportation impacts on climate change can mitigate the reverse climate change impacts on transportation. This paper examines the relationship between transportation and climate change and establishes prospective solutions to reduce transportation greenhouse gas emission impacts on climate change and mitigate the reverse climate change impacts on transportation.
Extreme Value Analysis Of Rainfall Events Over The Kennedy Space Center Complex, Adam David Schnapp
Extreme Value Analysis Of Rainfall Events Over The Kennedy Space Center Complex, Adam David Schnapp
Master's Theses - Daytona Beach
The use of observational datasets to determine the occurrence frequencies of extreme weather events has gained a lot of recent interest due to concerns about the potential regional impacts from global climate change. Extreme-value theory can quantify the return frequency of the most extreme events, using climatologically short data sets and the assumption that such short climatological periods are stationary. However, the resulting analyses must be used with caution since they may not accurately reflect the potential of extreme events in the future due to climate change and variability. Accurately predicting extreme-event likelihood is important for building realistic long-range planning …