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Evaluation Of The Offline-Coupled Gfs-Cmaq In Recent Wildfires In Northern California, Joyce Leung
Evaluation Of The Offline-Coupled Gfs-Cmaq In Recent Wildfires In Northern California, Joyce Leung
Master's Theses
As wildfires become more frequent and severe under climate change, there is a growing need to simulate the impact of fires on air quality and human health using numerical models. The National Air Quality Forecast Capability is an operational air quality forecasting system that provides nationwide ozone and particulate matter (PM2.5) prediction. It is made up of a chemical transport model – the Community Multiscale Air Quality (CMAQ) model – driven by a meteorological model. Recently, the Global Forecast System (GFS) replaced the North American Mesoscale Forecast System (NAM) to drive CMAQ. In addition to these two modeling systems, the …
The Influence Of Aerosols On Ice And Mixed-Phase Clouds Based On In-Situ Observations And Cam6 Simulations, Flor Vanessa Maciel
The Influence Of Aerosols On Ice And Mixed-Phase Clouds Based On In-Situ Observations And Cam6 Simulations, Flor Vanessa Maciel
Master's Theses
Clouds have a large impact on Earth’s radiation budget, and although there is aconsiderable amount of research on them, there are still uncertainties concerning how thermodynamics, dynamics, and aerosol indirect effects impact their microphysical properties. The lack of observational analysis on cirrus and mixed-phase cloud controlling factors, i.e., temperature, relative humidity, vertical velocity, and aerosol number concentrations, limits our understanding of how these properties impact their microphysical properties and, therefore, complicates how they are simulated within climate models. With seven flight campaigns funded by the National Science Foundation (NSF) and five funded by the National Aeronautics and Space Administration (NASA), …
Ice And Supercooled Liquid Distributions Based On In Situ Observations And Climate Model Simulations, Ching An Yang
Ice And Supercooled Liquid Distributions Based On In Situ Observations And Climate Model Simulations, Ching An Yang
Master's Theses
Three climate models are evaluated using in situ airborne observations from the SouthernOcean Clouds, Radiation, Aerosol Transport Experimental Study (SOCRATES) campaign. The evaluation targets cloud phases, microphysical properties, thermodynamic conditions, and aerosol indirect effects from -40°C to 0°C. Compared with 580-s averaged observations (i.e., 100 km horizontal scale), the Community Atmosphere Model version 6 (CAM6) shows the most similar result for cloud phase frequency distribution and allows more liquidcontaining clouds below -10°C compared with its predecessor—CAM5. The Energy Exascale Earth System Model (E3SM) underestimates (overestimates) ice phase frequencies below (above) -20°C. CAM6 and E3SM show liquid and ice water contents …
Environmental Influences On Large Daily Wildfire Growth In California, Holt S. Hanley
Environmental Influences On Large Daily Wildfire Growth In California, Holt S. Hanley
Master's Theses
Wildfires have become a major environmental, social, and economic problem in California. The consequences can be especially detrimental when they exhibit behavior like very large daily growth (an individual fire burning >10,000 acres over a 24-hour period). Environmental conditions influencing the risk of large daily growth include weather variables such as temperature, wind, relative humidity, and precipitation; fuel variables such as type, loading, availability, and moisture content; as well as topographic variables such as slope, aspect, elevation, and shape. However, there remains great uncertainty in the importance of these variables relative to each other and the existence of any threshold …
An Empirical Assessment Of Environmental Variable Combinations For Use In Fire Weather Forecasts, Daniel Sunvold
An Empirical Assessment Of Environmental Variable Combinations For Use In Fire Weather Forecasts, Daniel Sunvold
Master's Theses
Predicting high fire danger conditions is paramount to mitigating the impacts caused by wildfires. Such warning systems as red flag warnings (RFWs) and the National Fire Danger Rating System (NFDRS) utilize atmospheric and fuel moisture properties to warn public and government entities about conditions that may lead to the ignition or rapid growth of wildfires. In this study, we use high-resolution reanalysis and wildfire growth data from 2003-2020 in California to test a variety of different variables to determine if a more viable variable combination exists that could be used to create a better warning index which would allow for …