The Observation Record Length Necessary to Generate Robust Soil Moisture PercentilesSource: Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 010::page 2131DOI: 10.1175/JAMC-D-16-0143.1Publisher: American Meteorological Society
Abstract: he ability to use in situ soil moisture for large-scale soil moisture monitoring, model and satellite validation, and climate investigations is contingent on properly standardizing soil moisture observations. Percentiles are a useful method for homogenizing in situ soil moisture. However, very few stations have been continuously monitoring in situ soil moisture for 20 years or more. Therefore, one challenge in evaluating soil moisture is determining whether the period of record is sufficient to produce a stable distribution from which to generate percentiles. In this study daily in situ soil moisture observations, measured at three separate depths in the soil column at 15 stations in the United States and Canada, are used to determine the record length that is necessary to generate a stable soil moisture distribution. The Anderson?Darling test is implemented, both with and without a Bonferroni adjustment, to quantify the necessary record length. The authors evaluate how the necessary record length varies by location, measurement depth, and month. They find that between 3 and 15 years of data are required to produce stable distributions, with the majority of stations requiring only 3?6 years of data. Not surprisingly, more years of data are required to obtain stable estimates of the 5th and 95th percentiles than of the first, second, and third quartiles of the soil moisture distribution. Overall these results suggest that 6 years of continuous, daily in situ soil moisture data will be sufficient in most conditions to create stable and robust percentiles.
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contributor author | Ford, Trent W. | |
contributor author | Wang, Qing | |
contributor author | Quiring, Steven M. | |
date accessioned | 2017-06-09T16:51:25Z | |
date available | 2017-06-09T16:51:25Z | |
date copyright | 2016/10/01 | |
date issued | 2016 | |
identifier issn | 1558-8424 | |
identifier other | ams-75375.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4217704 | |
description abstract | he ability to use in situ soil moisture for large-scale soil moisture monitoring, model and satellite validation, and climate investigations is contingent on properly standardizing soil moisture observations. Percentiles are a useful method for homogenizing in situ soil moisture. However, very few stations have been continuously monitoring in situ soil moisture for 20 years or more. Therefore, one challenge in evaluating soil moisture is determining whether the period of record is sufficient to produce a stable distribution from which to generate percentiles. In this study daily in situ soil moisture observations, measured at three separate depths in the soil column at 15 stations in the United States and Canada, are used to determine the record length that is necessary to generate a stable soil moisture distribution. The Anderson?Darling test is implemented, both with and without a Bonferroni adjustment, to quantify the necessary record length. The authors evaluate how the necessary record length varies by location, measurement depth, and month. They find that between 3 and 15 years of data are required to produce stable distributions, with the majority of stations requiring only 3?6 years of data. Not surprisingly, more years of data are required to obtain stable estimates of the 5th and 95th percentiles than of the first, second, and third quartiles of the soil moisture distribution. Overall these results suggest that 6 years of continuous, daily in situ soil moisture data will be sufficient in most conditions to create stable and robust percentiles. | |
publisher | American Meteorological Society | |
title | The Observation Record Length Necessary to Generate Robust Soil Moisture Percentiles | |
type | Journal Paper | |
journal volume | 55 | |
journal issue | 10 | |
journal title | Journal of Applied Meteorology and Climatology | |
identifier doi | 10.1175/JAMC-D-16-0143.1 | |
journal fristpage | 2131 | |
journal lastpage | 2149 | |
tree | Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 010 | |
contenttype | Fulltext |