Interpolation methods for climate data literature review
نویسنده
چکیده
منابع مشابه
Validation of summer temperature interpolation methods in northeastern Iran
The basis of climatic data is measurements taken at a predetermined chronological order at air monitoring stations, so all measured values of climatic elements can only be attributed to the point of measurement. Therefore, different interpolation methods can help a lot in estimating climate data in different places. The study area in this study is northeastern Iran, including the provinces...
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Meteorological data are used in many studies, especially in planning, disaster management, water resources management, hydrology, agriculture and environment. Analyzing changes in meteorological variables is very important to understand a climate system and minimize the adverse effects of the climate changes. One of the main issues in meteorological analysis is the interpolation of spatial data...
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Background and Objectives: The issue of climate change has currently become a critical concern for the global community as it affects the transmission and spread of a wide range of diseases. This study aims to examine the literature and scientific evidence concerning the impact of climate change on vector-borne diseases. Methods: In this review research, a comprehensive search and review of te...
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This paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in Credit scoring. Yet there isn’t any literature in the field of data mining applications in credit scoring. Using a novel research approach, this paper investigates academic and systematic literature review and includes all of the journals in the Science direct onli...
متن کاملAdaptive Spatio-Temporal Interpolation Methods
We propose a new adaptive spatio-temporal interpolation method that combines either by a step or a line function existing spatial and temporal interpolation methods. We test the new method using climate data obtained from weather stations in Colorado and Nebraska, for the time period from 1993 to 2003. The experimental results show that in mountainous regions our adaptive spatio-temporal method...
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تاریخ انتشار 2009