University of Illinois Urbana-Champaign

Improving the usability of soil temperature information to support agricultural decision making

Mason, Bridgette Marie

Content Files
MASON-THESIS-2023.pdf

Permalink

https://hdl.handle.net/2142/121453

Description

Title
Improving the usability of soil temperature information to support agricultural decision making
Author(s)
Mason, Bridgette Marie
Issue Date
2023-07-18
Director of Research (if dissertation) or Advisor (if thesis)
Ford, Trenton W
Department of Study
Atmospheric Sciences
Discipline
Atmospheric Sciences
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
  • Soil temperature
  • Climatology
  • Interpolation
  • Prediction
  • Illinois
  • Agriculture
Abstract
Soil temperature plays a major role in the agriculture industry as it affects management practices including planting and harvesting, soil and water conservation decisions, and crop rotations. Despite its importance to agriculture, there remains a dearth of soil temperature information in the United States. Soil temperature is monitored by multiple local- and state-level networks; however, few studies have attempted to use these observations to build a usable soil temperature climatology and prediction tool. We address this information gap in Illinois by developing a comprehensive, data-driven soil temperature climatology using decades’ worth of in situ observations from 19 sites that are part of the Illinois Climate Network and Water & Atmospheric Resources Monitoring (WARM) Program. In particular, we develop publicly available maps and figures of soil temperature averages and extremes, including probabilistic expectations of reaching critical temperature thresholds for agriculture, such as 50- and 60-degrees Fahrenheit. We also test a variety of spatial interpolation techniques to fill in data gaps between the 19 WARM stations in Illinois. Additionally, we test the predictability of soil temperature at 1- and 2-weeks. The soil temperature climatology and prediction tests will support agricultural decision making on multi-timescales in Illinois.
Graduation Semester
2023-08
Type of Resource
Thesis
Handle URL
https://hdl.handle.net/2142/121453
Copyright and License Information
Copyright 2023 Bridgette Mason

Owning Collections

Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois