Xinjiang and Central Asia: Ethno-religious, political, and economic interactions

The neighboring regions of Xinjiang and Central Asia, linked historically on the famous Silk Road, later developed separately as a result of the incorporation of the former into China and the latter into the Russian Empire and Soviet Union. Thus, interaction between Xinjiang and Central Asia has been constrained by the nature of the Sino-Russian or Sino-Soviet relationship. However, the demise of the Soviet Union--which resulted in the independence of five Central Asian states--and the recent economic reforms in the People's Republic of China suggest dramatic new possibilities for interregional cooperation.^ In this thesis, an historical and comparative approach is employed to study Chinese policies in Xinjiang and Soviet policies in Central Asia, and concludes that despite several decades of separate development, the common ethnic and religious origins of the indigenous peoples and their former ties will facilitate greater interaction between the two regions. ^

Pivot or periphery? Xinjiang's regional development and Chinese-Central Asian relations at the century's end

Xinjiang, once described by Owen Lattimore as the "pivot of Asia", has played a strategically important role in China's national defense and security. Historically linked on the famous Silk Road with Central Asia, Xinjiang was crucial to East-West economic and cultural exchanges. During the period of Russian/Soviet expansion into Central Asia and Sino-Soviet rivalry, China's need for Xinjiang's defense and territorial integrity became paramount, and consequently Xinjiang's economy was relegated to the periphery.^ The demise of the Soviet Union--which resulted in the independence of five Central Asian states--and China's reform suggest dramatic new possibilities for Xinjiang's regional development as well as interregional cooperation. As China has begun to shift regional emphasis to the interior, Xinjiang's economic development will be accelerated. With the growth of Sino/Xinjiang-Central Asian relations, Xinjiang's importance will not only be borne out in terms of defense and security, but more significantly in terms of trade and economics. At the century's end and the beginning of the 21st century, Xinjiang will likely move away from the periphery and play an increasingly pivotal role in the economy. ^

Present-day Pattern Variations in the Central and Eastern Pacific El Nino

El Niño and the Southern Oscillation (ENSO) is a cycle that is initiated in the equatorial Pacific Ocean and is recognized on interannual timescales by oscillating patterns in tropical Pacific sea surface temperatures (SST) and atmospheric circulations. Using correlation and regression analysis of datasets that include SST’s and other interdependent variables including precipitation, surface winds, sea level pressure, this research seeks to quantify recent changes in ENSO behavior. Specifically, the amplitude, frequency of occurrence, and spatial characteristics (i.e. events with maximum amplitude in the Central Pacific versus the Eastern Pacific) are investigated. The research is based on the question; “Are the statistics of ENSO changing due to increasing greenhouse gas concentrations?” Our hypothesis is that the present-day changes in amplitude, frequency, and spatial characteristics of ENSO are determined by the natural variability of the ocean-atmosphere climate system, not the observed changes in the radiative forcing due to change in the concentrations of greenhouse gases. Statistical analysis, including correlation and regression analysis, is performed on observational ocean and atmospheric datasets available from the National Oceanographic and Atmospheric Administration (NOAA), National Center for Atmospheric Research (NCAR) and coupled model simulations from the Coupled Model Inter-comparison Project (phase 5, CMIP5). Datasets are analyzed with a particular focus on ENSO over the last thirty years. Understanding the observed changes in the ENSO phenomenon over recent decades has a worldwide significance. ENSO is the largest climate signal on timescales of 2 - 7 years and affects billions of people via atmospheric teleconnections that originate in the tropical Pacific. These teleconnections explain why changes in ENSO can lead to climate variations in areas including North and South America, Asia, and Australia. For the United States, El Niño events are linked to decreased number of hurricanes in the Atlantic basin, reduction in precipitation in the Pacific Northwest, and increased precipitation throughout the southern United Stated during winter months. Understanding variability in the amplitude, frequency, and spatial characteristics of ENSO is crucial for decision makers who must adapt where regional ecology and agriculture are affected by ENSO.

Present-day Pattern Variations in the Central and Eastern Pacific El Nino

El Niño and the Southern Oscillation (ENSO) is a cycle that is initiated in the equatorial Pacific Ocean and is recognized on interannual timescales by oscillating patterns in tropical Pacific sea surface temperatures (SST) and atmospheric circulations. Using correlation and regression analysis of datasets that include SST’s and other interdependent variables including precipitation, surface winds, sea level pressure, this research seeks to quantify recent changes in ENSO behavior. Specifically, the amplitude, frequency of occurrence, and spatial characteristics (i.e. events with maximum amplitude in the Central Pacific versus the Eastern Pacific) are investigated. The research is based on the question; “Are the statistics of ENSO changing due to increasing greenhouse gas concentrations?” Our hypothesis is that the present-day changes in amplitude, frequency, and spatial characteristics of ENSO are determined by the natural variability of the ocean-atmosphere climate system, not the observed changes in the radiative forcing due to change in the concentrations of greenhouse gases. Statistical analysis, including correlation and regression analysis, is performed on observational ocean and atmospheric datasets available from the National Oceanographic and Atmospheric Administration (NOAA), National Center for Atmospheric Research (NCAR) and coupled model simulations from the Coupled Model Inter-comparison Project (phase 5, CMIP5). Datasets are analyzed with a particular focus on ENSO over the last thirty years. Understanding the observed changes in the ENSO phenomenon over recent decades has a worldwide significance. ENSO is the largest climate signal on timescales of 2 - 7 years and affects billions of people via atmospheric teleconnections that originate in the tropical Pacific. These teleconnections explain why changes in ENSO can lead to climate variations in areas including North and South America, Asia, and Australia. For the United States, El Niño events are linked to decreased number of hurricanes in the Atlantic basin, reduction in precipitation in the Pacific Northwest, and increased precipitation throughout the southern United Stated during winter months. Understanding variability in the amplitude, frequency, and spatial characteristics of ENSO is crucial for decision makers who must adapt where regional ecology and agriculture are affected by ENSO.