منابع مشابه
Estimating Historical California Precipitation Phase Trends Using Gridded Precipitation, Precipitation Phase, and Elevation Data
Climate change projections for California indicate reduction in the percentage of precipitation that falls as snow, and increase in the percentage that falls as rain, due to warmer temperatures in the future. Previous work has shown overall decreases in rainfall / snowfall ratios for the western US over the last 60 years. Of interest in this study is the quantification of snow/rain ratios for s...
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The detection of outliers from spatio-temporal data is an important task due to the increasing amount of spatio-temporal data available, and the need to understand and interpret it. Due to the limitations of previous data mining techniques, new techniques to detect spatio-temporal outliers need to be developed. In this paper, we propose a spatio-temporal outlier detection algorithm called Outst...
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A new method is required for change-point testing of precipitation data that is capable of applying valid precipitation models. First, stochastic precipation models are researched and classified. Typically, the occurrence of rain is modeled using a two-state, first-order Markov chain, and the intensity of rain is modeled using a two-parameter gamma distribution. Using the likelihood ratio test ...
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Analysis of the characteristics of precipitation fields; Sampling of precipitation fields at different regular and irregular steps of grid and different time intervals;
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A critical issue in biophysical modeling projects is to develop a set of reusable libraries to support the development of future applications. This is true for weather modeling as well. Rain is a software component providing a collection of stochastic approaches to generate precipitation data on daily and subdaily time steps. Synthetic data generated on a daily time step consists of precipitati...
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ژورنال
عنوان ژورنال: Kansas Agricultural Experiment Station Research Reports
سال: 2017
ISSN: 2378-5977
DOI: 10.4148/2378-5977.1402