Multi-profile analysis of soil moisture within the US climate reference network

E. J. Coopersmith, M. H. Cosh, J. E. Bell, W. T. Crow

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Soil moisture estimates are crucial for hydrologic modeling and agricultural decision-support efforts. These measurements are also pivotal for long-term inquiries regarding the impacts of climate change and the resulting droughts over large spatial and temporal scales. However, it has only been the past decade during which ground-based soil moisture sensory resources have become sufficient to tackle these important challenges. Despite this progress, random and systematic errors remain in ground-based soil moisture observations. Such errors must be quantified (and/or adequately minimized) before such observations can be used with full confidence. In response, this paper calibrates and analyzes US Climate Reference Network (USCRN) profile estimates at each of three sensors collocated at each USCRN location. With each USCRN location consisting of three independent, Hydraprobe measurements, triple collocation analysis of these sensory triads reveals the random error associated with this particular sensing technology in each individual location. This allows quantification of the accuracy of these individual profiles, the random errors associated with these measurements in different geographic locations, and offers the potential for more adept quality control procedures in near real time. Averaged over USCRN gauge locations nationally, this random error is determined to be approximately 0.012 m3/m3.

Original languageEnglish (US)
JournalVadose Zone Journal
Volume15
Issue number1
DOIs
StatePublished - Jan 27 2016

Fingerprint

soil moisture
soil water
climate
gauges
quality control
sensors (equipment)
sensory evaluation
gauge
drought
climate change
sensor
analysis
resource
modeling

ASJC Scopus subject areas

  • Soil Science

Cite this

Multi-profile analysis of soil moisture within the US climate reference network. / Coopersmith, E. J.; Cosh, M. H.; Bell, J. E.; Crow, W. T.

In: Vadose Zone Journal, Vol. 15, No. 1, 27.01.2016.

Research output: Contribution to journalArticle

Coopersmith, E. J. ; Cosh, M. H. ; Bell, J. E. ; Crow, W. T. / Multi-profile analysis of soil moisture within the US climate reference network. In: Vadose Zone Journal. 2016 ; Vol. 15, No. 1.
@article{5f365ea9ca324df69e2e33093bd91142,
title = "Multi-profile analysis of soil moisture within the US climate reference network",
abstract = "Soil moisture estimates are crucial for hydrologic modeling and agricultural decision-support efforts. These measurements are also pivotal for long-term inquiries regarding the impacts of climate change and the resulting droughts over large spatial and temporal scales. However, it has only been the past decade during which ground-based soil moisture sensory resources have become sufficient to tackle these important challenges. Despite this progress, random and systematic errors remain in ground-based soil moisture observations. Such errors must be quantified (and/or adequately minimized) before such observations can be used with full confidence. In response, this paper calibrates and analyzes US Climate Reference Network (USCRN) profile estimates at each of three sensors collocated at each USCRN location. With each USCRN location consisting of three independent, Hydraprobe measurements, triple collocation analysis of these sensory triads reveals the random error associated with this particular sensing technology in each individual location. This allows quantification of the accuracy of these individual profiles, the random errors associated with these measurements in different geographic locations, and offers the potential for more adept quality control procedures in near real time. Averaged over USCRN gauge locations nationally, this random error is determined to be approximately 0.012 m3/m3.",
author = "Coopersmith, {E. J.} and Cosh, {M. H.} and Bell, {J. E.} and Crow, {W. T.}",
year = "2016",
month = "1",
day = "27",
doi = "10.2136/vzj2015.01.0016",
language = "English (US)",
volume = "15",
journal = "Vadose Zone Journal",
issn = "1539-1663",
publisher = "Soil Science Society of America",
number = "1",

}

TY - JOUR

T1 - Multi-profile analysis of soil moisture within the US climate reference network

AU - Coopersmith, E. J.

AU - Cosh, M. H.

AU - Bell, J. E.

AU - Crow, W. T.

PY - 2016/1/27

Y1 - 2016/1/27

N2 - Soil moisture estimates are crucial for hydrologic modeling and agricultural decision-support efforts. These measurements are also pivotal for long-term inquiries regarding the impacts of climate change and the resulting droughts over large spatial and temporal scales. However, it has only been the past decade during which ground-based soil moisture sensory resources have become sufficient to tackle these important challenges. Despite this progress, random and systematic errors remain in ground-based soil moisture observations. Such errors must be quantified (and/or adequately minimized) before such observations can be used with full confidence. In response, this paper calibrates and analyzes US Climate Reference Network (USCRN) profile estimates at each of three sensors collocated at each USCRN location. With each USCRN location consisting of three independent, Hydraprobe measurements, triple collocation analysis of these sensory triads reveals the random error associated with this particular sensing technology in each individual location. This allows quantification of the accuracy of these individual profiles, the random errors associated with these measurements in different geographic locations, and offers the potential for more adept quality control procedures in near real time. Averaged over USCRN gauge locations nationally, this random error is determined to be approximately 0.012 m3/m3.

AB - Soil moisture estimates are crucial for hydrologic modeling and agricultural decision-support efforts. These measurements are also pivotal for long-term inquiries regarding the impacts of climate change and the resulting droughts over large spatial and temporal scales. However, it has only been the past decade during which ground-based soil moisture sensory resources have become sufficient to tackle these important challenges. Despite this progress, random and systematic errors remain in ground-based soil moisture observations. Such errors must be quantified (and/or adequately minimized) before such observations can be used with full confidence. In response, this paper calibrates and analyzes US Climate Reference Network (USCRN) profile estimates at each of three sensors collocated at each USCRN location. With each USCRN location consisting of three independent, Hydraprobe measurements, triple collocation analysis of these sensory triads reveals the random error associated with this particular sensing technology in each individual location. This allows quantification of the accuracy of these individual profiles, the random errors associated with these measurements in different geographic locations, and offers the potential for more adept quality control procedures in near real time. Averaged over USCRN gauge locations nationally, this random error is determined to be approximately 0.012 m3/m3.

UR - http://www.scopus.com/inward/record.url?scp=84961366578&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961366578&partnerID=8YFLogxK

U2 - 10.2136/vzj2015.01.0016

DO - 10.2136/vzj2015.01.0016

M3 - Article

AN - SCOPUS:84961366578

VL - 15

JO - Vadose Zone Journal

JF - Vadose Zone Journal

SN - 1539-1663

IS - 1

ER -