Algebraic Algorithm for Statistical Estimation of the Binomial Distribution Parameter and an Example of Its Application in a Global Geoinformation Task of Applied Climatology

IF 1.4 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
N. Yu. Dobrolyubov, S. M. Semenov, E. M. Volodin, A. Yu. Bogdanovich
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Abstract

The binomial distribution is often used in modeling, including in applied climatology, when assessing the likelihood of adverse or dangerous climate-related impacts. The article outlines an algebraic algorithm for obtaining such estimates based on climate monitoring data or modeling data. Using only algebraic operations in calculations minimizes calculation time, which is important when performing detailed global assessments. As an example of such a calculation, the result of an assessment of the global climatic range of a dangerous insect pest of forest and garden trees and shrubs, the gypsy moth, is given.

Abstract Image

二项分布参数统计估算的代数算法及其在应用气候学全球地理信息任务中的应用实例
摘要二项分布经常用于建模,包括应用气候学中评估与气候有关的不利或危险影响的可能性。文章概述了根据气候监测数据或建模数据获取此类估计值的代数算法。在计算中只使用代数运算可最大限度地缩短计算时间,这在进行详细的全球评估时非常重要。作为这种计算的一个例子,文章给出了对森林和花园树木及灌木的一种危险害虫--吉普赛蛾--的全球气候范围的评估结果。
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来源期刊
Russian Meteorology and Hydrology
Russian Meteorology and Hydrology METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
1.70
自引率
28.60%
发文量
44
审稿时长
4-8 weeks
期刊介绍: Russian Meteorology and Hydrology is a peer reviewed journal that covers topical issues of hydrometeorological science and practice: methods of forecasting weather and hydrological phenomena, climate monitoring issues, environmental pollution, space hydrometeorology, agrometeorology.
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