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Published byNoel Fletcher Modified over 6 years ago
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Frost Forecasting for Lettuce Fields in Yuma, Arizona
Nick Dawson Soil, Water, and Environmental Sciences Department Advisor: Dr. Paul Brown
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Outline Background Model description Test cases Experimental model
Results Future work
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Why Do We Care? > 90% winter production 450 million dollars
Consumer prices 1000% price hike
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Weather Research and Forecasting Model
WRF 1.8 km resolution 27 hour forecasts 5am – 8am Winter 2010/11 ~4 C too warm
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Resolution Comparison
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Case Study Days for Trials
Above freezing/humid Above/dry Below/humid Below/dry Cold advective 5 weather station sites
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Default Land Use Classification
Urban (Yuma) Crop Fields Orange - urban 3 – irrigated crops 14 – evergreen needleleaf forest 15 – mixed forest 19 – baren/sparsely vegetated Forest
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Default Revised
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Trial Setup Input Files Look-up Tables VF = vegetation fraction
SMC = soil moisture content Trial Setup Trial # Adjustment 1 LAI min= 1.56; LAI max = 5.68 z 𝑜 min = 0.01; z 𝑜 max = 0.1 2 Input file soil changes: Sand changed to loamy sand, sandy loam to clay loam. Table file changes: minimum SMC = 0.36 3 Trial 2 + Top two soil layers SMC = 0.36 for all crop/pasture land, VF = 85% (all changes made to input files) 4 Trial 2 + VF = 85% (input file changes)
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Trial Results 2 3 4 Trial Change 1 Table Soil Change SMC = 0.36 and
VF = 80% 4 Trial Results
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60% VF 0.32 SMC Updated Land Use Experimental Model
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Results
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Coldest 15-minute Temperature Scatter Plots
1 December 2011 – 15 January 2012
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Statistic Control Model Experimental Model
RMSE 2.95 1.79 MAE 2.51 2.35 Bias 2.39 -0.42
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Results in Action 7am temperatures GFS and NAM 51 hr forecast movie
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Future Work Post forecast products Bi-weekly VF updates
Lettuce leaf temperature forecast
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Review Big/important business Identified model issues
Improved ~ 3 degrees Celsius
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Frost Forecasting for Lettuce Fields In Yuma, Arizona
Questions? Selected references: Deardorff, J. W., Efficient Prediction of Ground Surface Temperature and Moisture, With Inclusion of a Layer of Vegetation. J. Geo Research, 83, Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J. D. Tarpley, Implementation of Noah land surface model advances in the National centers for Environmental Prediction operational mesoscale Eta model. J. Geophys. Res., 108, 22 PP, doi: /2002JD Hogue, T.S., L. Bastidas, H Gupta, S. Sorooshian, K. Mitchell, W. Emmerich, Evaluation and Transferability of the Noah Land Surface Mode in Semiarid Environments. J. Hydrometeor, 6, Prabhakaran, T., G. Hoogenboom, S. G. Gopalakrishnan, Evaluation of WRF for frost warning and consequences of cold air pooling. J. Compute. Electron. Agric., 64, Wilks, D. S., Statistical methods in the atmospheric sciences. Burlington, MA [etc.]: Academic Press.
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