2026-09-23T19:00:02Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/121453 2023-12-13 col_2142_5131 col_2142_14839 com_2142_5130 com_2142_14838 com_2142_13459 com_2142_8903

Ford, Trenton W 2023-08 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms The student, Bridgette Mason, accepted the attached license on 2023-07-03 at 10:01. The student, Bridgette Mason, submitted this Thesis for approval on 2023-07-03 at 10:21. This Thesis was approved for publication on 2023-07-18 at 12:55. DSpace SAF Submission Ingestion Package generated from Vireo submission #19503 on 2023-12-04 at 17:00:39 Improving the usability of soil temperature information to support agricultural decision making Mason, Bridgette Marie 2023-07-18 Soil Temperature Climatology Interpolation Prediction Illinois Agriculture 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. Text eng https://hdl.handle.net/2142/121453 Copyright 2023 Bridgette Mason M.S. Thesis Atmospheric Sciences University of Illinois at Urbana-Champaign Atmospheric Sciences