Topography and Data Mining Based Methods for Improving Satellite Precipitation in Mountainous Areas of China
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- @Article{xia:2015:Atmosphere,
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author = "Ting Xia and Zhong-Jing Wang and Hang Zheng",
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title = "Topography and Data Mining Based Methods for Improving
Satellite Precipitation in Mountainous Areas of China",
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journal = "Atmosphere",
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year = "2015",
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volume = "6",
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number = "8",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2073-4433",
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URL = "https://www.mdpi.com/2073-4433/6/8/983",
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DOI = "doi:10.3390/atmos6080983",
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abstract = "Topography is a significant factor influencing the
spatial distribution of precipitation. This study
developed a new methodology to evaluate and calibrate
the Tropical Rainfall Measuring Mission Multi-satellite
Precipitation Analysis (TMPA) products by merging
geographic and topographic information. In the proposed
method, firstly, the consistency rule was introduced to
evaluate the fitness of satellite rainfall with
measurements on the grids with and without ground
gauges. Secondly, in order to improve the consistency
rate of satellite rainfall, genetic programming was
introduced to mine the relationship between the gauge
rainfall and location, elevation and TMPA rainfall. The
proof experiment and analysis for the mean annual
satellite precipitation from 2001-2012, 3B43 (V7) of
TMPA rainfall product, was carried out in eight
mountainous areas of China. The result shows that the
proposed method is significant and efficient both for
the assessment and improvement of satellite
precipitation. It is found that the satellite rainfall
consistency rates in the gauged and ungauged grids are
different in the study area. In addition, the mined
correlation of location-elevation-TMPA rainfall can
noticeably improve the satellite precipitation, both in
the context of the new criterion of the consistency
rate and the existing criteria such as Bias and RMSD.
The proposed method is also efficient for correcting
the monthly and mean monthly rainfall of 3B43 and
3B42RT.",
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notes = "also known as \cite{atmos6080983}",
- }
Genetic Programming entries for
Ting Xia
Zhong-Jing Wang
Hang Zheng
Citations