Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions

A reliable network of rain gauges is a crucial component of rainfall estimation in a watershed. To provide a better evaluation method for rain-gauge networks, a new evaluation method using average inter-gauge correlation coefficients (averaged CC) for estimating an effective radius for each rain gau...

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Main Authors: Yong Jung, Hyunglok Kim, Jongjin Baik, Minha Choi
Format: Article
Language:English
Published: Springer 2014-01-01
Series:Terrestrial, Atmospheric and Oceanic Sciences
Subjects:
Online Access: http://tao.cgu.org.tw/media/k2/attachments/v252p267.pdf
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author Yong Jung
Hyunglok Kim
Jongjin Baik
Minha Choi
author_facet Yong Jung
Hyunglok Kim
Jongjin Baik
Minha Choi
author_sort Yong Jung
collection DOAJ
description A reliable network of rain gauges is a crucial component of rainfall estimation in a watershed. To provide a better evaluation method for rain-gauge networks, a new evaluation method using average inter-gauge correlation coefficients (averaged CC) for estimating an effective radius for each rain gauge was developed. In this study, averaged CCs were obtained from the values of inter-gauge correlation coefficients after choosing a minimum number of rainfall data sets as a threshold. The Nam River Basin (2400 km2) and its 24 rain gauges were selected with 8 years (2003 - 2010) rainfall data to validate a new evaluation method. In the spatial correlation coefficient fitting process for generating correlation distances, averaged CCs increased fitness accuracy (maximum 37%) in terms of coefficient of determination (R2) compared with a commonly used method (the last value of the inter-gauge correlation coefficient as the number of data sets is increased: last CC). In the evaluation of effective radii for 8 years, the robustness of the averaged CCs was supported by lower standard deviations for all rain gauges. For the optimum coverage of rainfall estimation in terms of effective radius, the Nam River Basin requires 20 rain gauges. Investigation of altitude effects presented that the effective radii were minimally influenced by the altitude of rain-gauge locations for this area.
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spelling doaj.art-ebe469903f6442859abf367c62c20c2d2022-12-22T02:09:58ZengSpringerTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802014-01-0125226710.3319/TAO.2013.10.31.01(Hy)1211Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous RegionsYong JungHyunglok KimJongjin BaikMinha ChoiA reliable network of rain gauges is a crucial component of rainfall estimation in a watershed. To provide a better evaluation method for rain-gauge networks, a new evaluation method using average inter-gauge correlation coefficients (averaged CC) for estimating an effective radius for each rain gauge was developed. In this study, averaged CCs were obtained from the values of inter-gauge correlation coefficients after choosing a minimum number of rainfall data sets as a threshold. The Nam River Basin (2400 km2) and its 24 rain gauges were selected with 8 years (2003 - 2010) rainfall data to validate a new evaluation method. In the spatial correlation coefficient fitting process for generating correlation distances, averaged CCs increased fitness accuracy (maximum 37%) in terms of coefficient of determination (R2) compared with a commonly used method (the last value of the inter-gauge correlation coefficient as the number of data sets is increased: last CC). In the evaluation of effective radii for 8 years, the robustness of the averaged CCs was supported by lower standard deviations for all rain gauges. For the optimum coverage of rainfall estimation in terms of effective radius, the Nam River Basin requires 20 rain gauges. Investigation of altitude effects presented that the effective radii were minimally influenced by the altitude of rain-gauge locations for this area. http://tao.cgu.org.tw/media/k2/attachments/v252p267.pdf Rain gauge distributionCorrelation lengthEffective areaAltitude effects
spellingShingle Yong Jung
Hyunglok Kim
Jongjin Baik
Minha Choi
Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions
Terrestrial, Atmospheric and Oceanic Sciences
Rain gauge distribution
Correlation length
Effective area
Altitude effects
title Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions
title_full Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions
title_fullStr Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions
title_full_unstemmed Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions
title_short Rain-Gauge Network Evaluations Using Spatiotemporal Correlation Structure for Semi-Mountainous Regions
title_sort rain gauge network evaluations using spatiotemporal correlation structure for semi mountainous regions
topic Rain gauge distribution
Correlation length
Effective area
Altitude effects
url http://tao.cgu.org.tw/media/k2/attachments/v252p267.pdf
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AT jongjinbaik raingaugenetworkevaluationsusingspatiotemporalcorrelationstructureforsemimountainousregions
AT minhachoi raingaugenetworkevaluationsusingspatiotemporalcorrelationstructureforsemimountainousregions