Deploying temporary networks for upscaling of sparse network stations

Coopersmith, Evan J.; Cosh, Michael H.; Bell, Jesse E.; Kelly, Victoria; Hall, Mark; Palecki, Michael A.; Temimi, Marouane

doi:10.1016/j.jag.2016.07.013

i

Deploying temporary networks for upscaling of sparse network stations

2016
By Coopersmith, Evan J. ; Cosh, Michael H. ; Bell, Jesse E. ; ...

Details

Journal Title:

International Journal of Applied Earth Observation and Geoinformation
Personal Author:

Coopersmith, Evan J. ; Cosh, Michael H. ; Bell, Jesse E. ; Kelly, Victoria ; Hall, Mark ; Palecki, Michael A. ; Temimi, Marouane
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) ; CICS (Cooperative Institute for Climate and Satellites)
Description:

Soil observations networks at the national scale play an integral role in hydrologic modeling, drought assessment, agricultural decision support, and our ability to understand climate change. Understanding soil moisture variability is necessary to apply these measurements to model calibration, business and consumer applications, or even human health issues. The installation of soil moisture sensors as sparse, national networks is necessitated by limited financial resources. However, this results in the incomplete sampling of the local heterogeneity of soil type, vegetation cover, topography, and the fine spatial distribution of precipitation events. To this end, temporary networks can be installed in the areas surrounding a permanent installation within a sparse network. The temporary networks deployed in this study provide a more representative average at the 3 km and 9 km scales, localized about the permanent gauge. The value of such temporary networks is demonstrated at test sites in Millbrook, New York and Crossville, Tennessee. The capacity of a single U.S. Climate Reference Network (USCRN) sensor set to approximate the average of a temporary network at the 3 km and 9 km scales using a simple linear scaling function is tested. The capacity of a temporary network to provide reliable estimates with diminishing numbers of sensors, the temporal stability of those networks, and ultimately, the relationship of the variability of those networks to soil moisture conditions at the permanent sensor are investigated. In this manner, this work demonstrates the single-season installation of a temporary network as a mechanism to characterize the soil moisture variability at a permanent gauge within a sparse network.
Keywords:

Computers In Earth Sciences Earth-Surface Processes Global And Planetary Change Management, Monitoring, Policy And Law Computers In Earth Sciences Global And Planetary Change Management, Monitoring, Policy And Law Computers In Earth Sciences Global And Planetary Change Management, Monitoring, Policy And Law
Source:

International Journal of Applied Earth Observation and Geoinformation, 52, 433-444
DOI:

https://doi.org/10.1016/j.jag.2016.07.013
ISSN:

1569-8432
Format:

PDF
Publisher:

Elsevier BV
Document Type:

Journal Article
Funding:

Grant no. NA09NES4400006
Rights Information:

Accepted Manuscript
Compliance:

Library
Main Document Checksum:

urn:sha256:c2659e137f3fc44e3efefbcfdbe8ea37833b1ddb684dd01a1c9ffe4032f7f6bc
Download URL:

https://repository.library.noaa.gov/view/noaa/52269/noaa_52269_DS1.pdf
File Type:

[PDF - 2.59 MB ]

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