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Full-Text Articles in Physical Sciences and Mathematics
Assessing The Predictability Of Convection Initiation Using An Object-Based Approach, Brock James Burghardt
Assessing The Predictability Of Convection Initiation Using An Object-Based Approach, Brock James Burghardt
Theses and Dissertations
Improvements in numerical forecasts of deep, moist convection have been notable in recent years and are in large part due to increased computational power allowing for the explicit numerical representation of convection. Accurately forecasting the timing and location of convection initiation (CI), however, remains a substantial forecast challenge. This is attributed to the inherently limited intrinsic predictability of CI due to its dependence on highly non-linear moist physics and fine-scale atmospheric processes that are poorly represented in observations. Because CI is the starting point of deep, moist convection that grows upscale, even small errors in initial convective development can rapidly …
Improved Estimation Of Pm2.5 Using Lagrangian Satellite-Measured Aerosol Optical Depth, Rolando Olivas Saunders
Improved Estimation Of Pm2.5 Using Lagrangian Satellite-Measured Aerosol Optical Depth, Rolando Olivas Saunders
Theses and Dissertations
Suspended particulate matter (aerosols) with aerodynamic diameters less than 2.5 μm (PM2.5) has negative effects on human health, plays an important role in climate change and also causes the corrosion of structures by acid deposition. Accurate estimates of PM2.5 concentrations are thus relevant in air quality, epidemiology, cloud microphysics and climate forcing studies. Aerosol optical depth (AOD) retrieved by the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite instrument has been used as an empirical predictor to estimate ground-level concentrations of PM2.5. These estimates usually have large uncertainties and errors. The main objective of this work is to assess the value of …