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Articles 1 - 7 of 7
Full-Text Articles in Meteorology
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 …
Investigations Of Cloud Microphysical Response To Mixing Using Digital Holography, Matthew Jacob Beals
Investigations Of Cloud Microphysical Response To Mixing Using Digital Holography, Matthew Jacob Beals
Dissertations, Master's Theses and Master's Reports - Open
Cloud edge mixing plays an important role in the life cycle and development of clouds. Entrainment of subsaturated air affects the cloud at the microscale, altering the number density and size distribution of its droplets. The resulting effect is determined by two timescales: the time required for the mixing event to complete, and the time required for the droplets to adjust to their new environment. If mixing is rapid, evaporation of droplets is uniform and said to be homogeneous in nature. In contrast, slow mixing (compared to the adjustment timescale) results in the droplets adjusting to the transient state of …
An Analysis Of Surface Air Temperature Trends And Variability Along The Andes, Eric Franquist
An Analysis Of Surface Air Temperature Trends And Variability Along The Andes, Eric Franquist
Legacy Theses & Dissertations (2009 - 2024)
Climate change is difficult to study in mountainous regions such as the Andes since steep changes in elevation cannot always be resolved by climate models. However, it is important to examine temperature trends in this region as rises in surface air temperature are leading to the melting of tropical glaciers. Local communities rely on the glacier-fed streamflow to get their water for drinking, irrigation, and livestock. Moreover, communities also rely on the tourism of hikers who come to the region to view the glaciers. As the temperatures increase, these glaciers are no longer in equilibrium with their current climate and …
Evaluating Drought In The United States Using The Emissivity Difference Vegetation Index, Hanisha Hirani
Evaluating Drought In The United States Using The Emissivity Difference Vegetation Index, Hanisha Hirani
Legacy Theses & Dissertations (2009 - 2024)
As monitoring vegetation and crops becomes increasingly important due to climate change, there arises the need for a monitoring scheme that places more weight on water availability as an indication of vegetation health and vitality. The Emissivity Difference Vegetation Index (EDVI) is the first step towards that type of monitoring scheme. With the potential for diurnal studies, there are applications towards agriculture monitoring, wildfire monitoring, and much more. EDVI is a synergetic product retrieved from microwave, visible, and infrared satellite measurements, as well as reanalysis. Since microwave measurements are more sensitive to vegetation water content, EDVI has the potential to …
Interactions Between African Easterly Waves And Moist Convection, Matthew Adam Janiga
Interactions Between African Easterly Waves And Moist Convection, Matthew Adam Janiga
Legacy Theses & Dissertations (2009 - 2024)
African easterly waves (AEWs) over tropical Africa and the East Atlantic influence and are themselves influenced by moist convection. Data from the Tropical Rainfall Measuring Mission (TRMM) satellite, reanalyses, and in-situ observations are used to examine both directions of this two-way interaction.
The Motion Of Mesoscale Snowbands In Northeast U.S. Winter Storms, Jaymes Kenyon
The Motion Of Mesoscale Snowbands In Northeast U.S. Winter Storms, Jaymes Kenyon
Legacy Theses & Dissertations (2009 - 2024)
The distribution of snowfall accumulation attending winter storms is a product of both precipitation intensity and duration. Many heavy snowfall events are associated with distinct mesoscale snowbands that strongly modulate snowfall accumulation. Mesoscale snowbands are known to be favored within environments characterized by frontogenesis in the presence of weak moist symmetric or gravitational stabilities. Although the development of mesoscale snowbands often can be anticipated at 24–36-h ranges, anticipating band residence time at a fixed location remains a forecasting challenge. However, given that snowband residence time is related to characteristics of band motion, improved understanding of band motion presents an opportunity …
Spatial And Temporal Trends Of Snowfall In Central New York - A Lake Effect Dominated Region, Justin Joseph Hartnett
Spatial And Temporal Trends Of Snowfall In Central New York - A Lake Effect Dominated Region, Justin Joseph Hartnett
USF Tampa Graduate Theses and Dissertations
Central New York is located in one of the snowiest regions in the United States, with the city of Syracuse, New York the snowiest metropolis in the nation. Snowfall in the region generally begins in mid-November and lasts until late-March. Snow accumulation occurs from a multitude of conditions: frontal systems, mid-latitude cyclones, Nor'easters, and most notably lake-effect storms. Lake effect snowfall (LES) is a difficult parameter to forecast due to the isolated and highly variable nature of the storm. Consequently, studies have attempted to determine changes in snowfall for lake-effect dominated regions. Annual snowfall patterns are of particular concern as …