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Developing a Reference Crop Evapotranspiration Climatology for the Southeastern U.S. using the FAO Penman- Monteith E

Developing a Reference Crop Evapotranspiration Climatology for the Southeastern U.S. using the FAO Penman- Monteith Estimation. Heather Dinon *, Ryan Boyles, Gail Wilkerson Carolinas and Virginia Climate Conference October 21, 2009 Wilmington, NC. Motivation.

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Developing a Reference Crop Evapotranspiration Climatology for the Southeastern U.S. using the FAO Penman- Monteith E

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  1. Developing a Reference Crop Evapotranspiration Climatology for the Southeastern U.S. using the FAO Penman-Monteith Estimation Heather Dinon*, Ryan Boyles, Gail Wilkerson Carolinas and Virginia Climate Conference October 21, 2009 Wilmington, NC

  2. Motivation • Weather/Climate  Agriculture/Irrigation • NC Agriculture: • Annual $71B economy • 19% of state income • Over 16% of work force • (NCDA&CS 2008) • Agriculture is largest consumer of water in US (NOAA 2002) Photo courtesy of Bridget Lassiter, of NCSU Crop Science Department

  3. What is this? Why do we need? Robust ET estimate: Efficient water use Maximize yields http://science.howstuffworks.com/trees-affect-weather.htm/printable

  4. Introduction • ET provides guidance for crop management • Limited ET observations • Solution: UN FAO Penman-Monteith method to estimate daily reference crop ET • Theoretical grass reference crop • Height of 0.12m • Albedo of 0.23 • Surface resistance of 70s/m • Weekly irrigation schedule • Min/Max Temp, Min/Max RH, Avg SR, Avg WS • Dependent on time of year & location (elev, lat)

  5. http://www.nc-climate.ncsu.edu/et

  6. Daily estimation • Calculates RefET for stations on selected date of interest (YY-MM-DD) • Date range: 01 Jan 2002 - yesterday • ASOS, AWOS, ECONET, RAWS, USCRN • Virginia, Carolinas, Georgia, Florida, Alabama

  7. Climatology product • Years: 2002-2008 • Daily average: 7-day moving average • Annual time series for each station • Average monthly totals • Annual bar chart for each station • Both products require >80% of data, and data must pass QC checks

  8. *Note: Upper and lower boundaries capture ~50% of the distribution. Only shown if 5 or more years of data.

  9. Sensitivity analysis • Sensitivity of inputs: • min/max temp, min/max RH, avg SR, avg WS • Case study: • Lake Wheeler Field Lab, Raleigh, NC • Elevation: 382 feet above sea level • Station type: ECONET • Average each parameter during July (2002-2008)

  10. Summary - Tool • Dataset of ET for assistance with crop management across Southeast US • Daily estimate (2002 up to yesterday) • Climatology product (daily/monthly) • Spatial (maps) & temporal (graphs)

  11. Summary - Analysis • Direct relationship: SR, temp, WS • Indirect relationship: RH • SR main energy source for ET

  12. Future Work • Analyze trends across the Southeast • Sensitivity analysis of inputs • Spatial variation (regional trends) • Temporal variation (seasonal trends)

  13. Questions? Comments? Contact Information: Heather Dinon hadinon@ncsu.edu 919-515-3056

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