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369-7 A New EPIC-Based Simulation Model to Predict Soil Moisture and Soil Temperature Regimes At Various Soil Depths.

Poster Number 327

See more from this Division: S05 Pedology
See more from this Session: Pedology Research In Support of Soil Survey: II (Includes Graduate Student Competition)
Wednesday, October 19, 2011
Henry Gonzalez Convention Center, Hall C
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Lee Norfleet1, Jay Angerer2, Joe Nichols3, Paul Dyke2, Jimmy Williams4, Deborah Harms5 and Philip Schoeneberger5, (1)USDA-NRCS, Temple, TX
(2)Blackland Research and Extension Center, Texas AgriLife Research, Temple, TX
(3)USDA-NRCS (retired), Fort Worth, TX
(4)USDA-ARS, Temple, TX
(5)USDA-NRCS, Lincoln, NE
A new modeling tool, based on the EPIC model, has been developed to predict soil moisture (volumetric water content and/or matric potential) and thereby to identify Soil Moisture and Soil Temperature Regimes (Soil Taxonomy) for various soil depths, and for different, broad land cover conditions (forestland, cropland, bare ground, etc.).  The model has been evaluated using multi-year data sets derived from established soil climate stations (e.g. SCAN sites).
See more from this Division: S05 Pedology
See more from this Session: Pedology Research In Support of Soil Survey: II (Includes Graduate Student Competition)
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