Dust storms have far-reaching human and economic impacts; spreading disease, raspatory and cardiovascular disruption, destruction of property and crops, and death. Understanding of this phenomenon is can help with operational and academic endeavors and alleviate some of these impacts. To accomplish this goal, this dissertation poses a central question: Do dust storms have discreet geographic and temporal characteristics that can aid academic and operational analysis of these storms? To answer this question three case studies were undertaken. The first study constructed an archive of 549 dust rain events across Europe to determine a seasonal pattern. It was discovered that the largest number of events occurred in the Spring season (MAM). Then three individual events across Europe were examined to highlight the synoptic events that control these dust rains. Each event can be closely tied to the movement of the migratory Rossby waves and linked to Saharan dust from North Africa. The second study was a construction of Central Sonoran Desert dust storms from 2009 to 2022 tied to the NAM. HYSPLIT back-trajectories linked the strongest events to source regions mainly from the Southwest along the Gila River from the Gulf of California. As the storms weaken in intensity they drift to the South and Southeast traveling along the Santa Cruz River and its tributaries. The third study was a case study of three large events in the Central Sonoran Desert along the Gila River. This study examines the effects of the local topography, specifically the stand-alone mountain complexes that can block or funnel dust as it moves through the Gila River Valley. In each instance the South Mountain Complex and the Sierra Estrella served as a dust shield containing the highest dust concentrations to the south side of the Gila River Valley. This dissertation has analyzed several of the different elements of dust storms. These elements include the synoptic patterns that drive dust storms, the source regions of dust storms, and the ground level topography that can control their movement. Fundamentally, these findings can enhance our academic understanding of dust storms as well as our operational ability to forecast.

ABSTRACT

Famine is the result of a complex set of environmental and social factors. Climate conditions are established as environmental factors contributing to famine occurrence, often through teleconnective patterns. This dissertation is designed to investigate the combined influence on world famine patterns of teleconnections, specifically the North Atlantic Oscillation (NAO), Southern Oscillation (SO), Pacific Decadal Oscillation (PDO), Atlantic Multidecadal Oscillation (AMO), or regional climate variations such as the South Asian Summer Monsoon (SASM). The investigation is three regional case studies of famine patterns specifically, Egypt, the British Isles, and India.

The first study (published in Holocene) employs the results of a Principal Component Analysis (PCA) yielding a SO-NAO eigenvector to predict major Egyptian famines between AD 1049-1921. The SO-NAO eigenvector (1) successfully discriminates between the 5-10 years preceding a famine and the other years, (2) predicts eight of ten major famines, and (3) correctly identifies fifty out of eighty events (63%) of food availability decline leading up to major famines.

The second study investigates the impact of the NAO, PDO, SO, and AMO on 63 British Isle famines between AD 1049 and 1914 attributed to climate causes in historical texts. Stepwise Regression Analysis demonstrates that the 5-year lagged NAO is the primary teleconnective influence on famine patterns; it successfully discriminates 73.8% of weather-related famines in the British Isles from 1049 to 1914.

The final study identifies the aggregated influence of the NAO, SO, PDO, and SASM on 70 Indian famines from AD 1049 to 1955. PCA results in a NAO-SOI vector and SASM vector that predicts famine conditions with a positive NAO and negative SO, distinct from the secondary SASM influence. The NAO-famine relationship is consistently the strongest; 181 of 220 (82%) of all famines occurred during positive NAO years.

Ultimately, the causes of famine are complex and involve many factors including societal and climatic. This dissertation demonstrates that climate teleconnections impact famine patterns and often the aggregates of multiple climate variables hold the most significant climatic impact. These results will increase the understanding of famine patterns and will help to better allocate resources to alleviate future famines.