Downloads & Free Reading Options - Results

Retrievals of falling snow from space represent an important data set for understanding the Earth's atmospheric, hydrological, and energy cycles, especially during climate change. Estimates of falling snow must be captured to obtain the true global precipitation water cycle, snowfall accumulations are required for hydrological studies, and without knowledge of the frozen particles in clouds one cannot adequately understand the energy and radiation budgets. While satellite-based remote sensing provides global coverage of falling snow events, the science is relatively new and retrievals are still undergoing development with challenges remaining). This work reports on the development and testing of retrieval algorithms for the Global Precipitation Measurement (GPM) mission Core Satellite, launched February 2014.

Retrievals of falling snow from space represent an important data set for understanding the Earth's atmospheric, hydrological, and energy cycles, especially during climate change. Estimates of falling snow must be captured to obtain the true global precipitation water cycle, snowfall accumulations are required for hydrological studies, and without knowledge of the frozen particles in clouds one cannot adequately understand the energy and radiation budgets. While satellite-based remote sensing provides global coverage of falling snow events, the science is relatively new and retrievals are still undergoing development with challenges remaining). This work reports on the development and testing of retrieval algorithms for the Global Precipitation Measurement (GPM) mission Core Satellite, launched February 2014.

The increasing use of short wavelengths in systems required to operate in all weather conditions under battlefield environments requires that a commander in the field be able to predict the performance of these systems in the short term. A particular problem is the performance of millimeter and micrometer wavelengths in falling snow. This report presents a predictive model based on the assumption that the transmission like the snowfall intensity, behaves as a Markov chain. The model was developed from data acquired during the SNOW-ONE-A field program, and was tested for a hypothetical weapon system operating in the 8-12 micrometer band. The agreement of theory with measurements is excellent, but the model requires further testing on actual systems. (Author)