Analysis of accumulated precipitation based on information from weather stations
Knowledge about the spatial-temporal distribution of precipitation is important for a multitude of scientific and operational applications, and in agricultural monitoring particularly. Due to the irregularity of the network of meteorological stations and their small number in Central Siberia, a prob...
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Published in | IOP conference series. Earth and environmental science Vol. 548; no. 3; pp. 32020 - 32025 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.08.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Knowledge about the spatial-temporal distribution of precipitation is important for a multitude of scientific and operational applications, and in agricultural monitoring particularly. Due to the irregularity of the network of meteorological stations and their small number in Central Siberia, a problem arises of filling in the missing data. Different ways are possible to solve this problem. This article addresses the problem of comparing data on the amount of accumulated precipitation received from ground-based weather stations and processed in various ways to reconstruct the spatial picture. Data analysis show that of all options considered, the use of a unified NOAA CPC dataset seems more appropriate in further agro-climatic studies. Only the satellite data can provide more complete and more accurate information. |
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ISSN: | 1755-1307 1755-1315 |
DOI: | 10.1088/1755-1315/548/3/032020 |