Hidden Markov Model for quantitative prediction of snowfall and analysis of hazardous snowfall events over Indian Himalaya
نویسندگان
چکیده
منابع مشابه
analysis of ruin probability for insurance companies using markov chain
در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولWRF simulations of two extreme snowfall events associated with contrasting extratropical cyclones over the western and central Himalaya
Two extreme snowfall events associated with extratropical cyclones, one interacting with the western and one with the central Himalaya, are simulated with the Weather Research and Forecasting (WRF) model over 8 days. One event in January 1999 was driven by a longwave trough over west Asia, with the cyclone becoming terrain-locked in the western Himalayan notch. Another event in March 2006 was d...
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In order to address the difficult issue of forecasting snowfall amounts for the general public, forecasters must be intimately familiar with the climatological behavior of snowfall events and associated snowfall-to-liquid (SL) precipitation ratios that accompany events impacting the region. In Southwest Missouri, an average of 4 to 5 snowfall events of 3 inches or more occurred every year withi...
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In this demonstration, we showcase Snowfall, a compiler tool for low-level stream analysis. Comparable to scanner generators for software-based systems (e.g., lex/flex), Snowfall can be used to decode incoming data streams in hardware, react to low-level patterns in a stream, and perform initial input data analysis. Snowfall plays well together with Glacier, a query-to-hardware compiler that we...
متن کاملSpaceborne Passive Microwave Measurement of Snowfall over Land
A physically based retrieval algorithm was developed to estimate snowfall over land. The retrieval algorithm relies on the MM5 model that generates the vertical structure of a snow cloud, including snow mass, snow particle effective diameter, and water vapor. The MM5 cloud simulation was used to provide statistics for generating the cloud characteristics. The snow cloud profile and surface emis...
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ژورنال
عنوان ژورنال: Journal of Earth System Science
سال: 2017
ISSN: 0253-4126,0973-774X
DOI: 10.1007/s12040-017-0810-6