WATER AND ENERGY BALANCE ESTIMATION IN PUERTO RICO USING SATELLITE REMOTE SENSING
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1 WATER AND ENERGY BALANCE ESTIMATION IN PUERTO RICO USING SATELLITE REMOTE SENSING Eric. W. Harmsen, Ariel Mercado Vargas, Pedro Tosado Cruz, Jonellys M Maldonado Morales and Angel O. Ortiz Lozada OCTAVA REUNIÓN NACIONAL DE PERCEPCIÓN REMOTA Y SIG DE PUERTO RICO 30 DE NOVIEMBRE DE 2010 USDA Hatch
2 LAST YEAR S OBJECTIVE To develop an algorithm for estimating daily, high resolution (1-km), crop reference evapotranspiration (ET o ) over Puerto Rico. ET a = K c ET o
3 THIS YEAR S OBJECTIVES To introduce several new water resourcerelated remote sensing products for Puerto Rico, Haiti and the Dominican Republic. The development of the methodology has advanced more quickly in Puerto Rico, therefore, the information presented here can be considered a prototype of what is being developed for the other two countries (i.e., Haiti and the Dominican Republic).
4 Technical Approach
5 Algorithm Flow Chart SM 2 = Precip ET a RO DP SM 1 Obtain Solar Radiation, wind speed, rainfall, etc,. for yesterday Estimate Components of the Surface Water Budget Expand the components of the Surface Energy Budget Estimate Actual Evapotranspiration (ET a ) Solve Surface Energy Budget implicitly in terms of the Effective Surface Temperature Estimate the components of the surface energy budget R net + λe + H + G = 0
6 Remotely Sensed Solar Radiation Solar radiation was obtained using the Modified Gautier and Diak method (Gautier et al., 1980; Diak and Gautier, 1983). Data were obtained from the GOES-East satellite. Geostationary platform 1 km resolution for Puerto Rico 2 km Haiti and the Dominican Republic High time resolution (30 minutes)
7 Comparison of daily integrated solar radiation obtained from pyranometers at six locations in Puerto Rico and satellite remote sensing. Data collected between March 2009 and June 2010
8 Estimated Variables Reference evapotranspiration Net Radiation Latent heat flux Sensible heat flux Actual evapotranspiration Evapotranspiration Crop coefficient Surface runoff (Curve Number method) Deep percolation (based on field capacity concept) Soil moisture content (based on field capacity concept)
9 Transient Input Parameters and Variables Solar Radiation Rainfall Wind speed Vapor pressure Air temperature Effective surface temperature Bulk surface resistance Aerodynamic resistance
10 Non-Transient Input Parameters Surface elevation Soil texture Soil field capacity Soil wilting point Rooting depth Roughness length Zero plane displacement
11 RESULTS Reference Evapotranspiration for PR, Dominican Republic and Haiti Radiation-based Hargreaves formula is used
12 Estimated reference evapotranspiration (ET o ) for Puerto Rico on June 29 th, ET a = K c ET o
13 Estimated reference evapotranspiration (ET o ) for Haiti and the Dominican Republic on June 29 th, Haiti ET a = K c ET o Dominican Republic
14 RESULTS Actual ET and the Water and Energy Budgets for PR An analysis was performed for a10 day period between June 20 and June 29, The soil moisture was adjusted daily based on the surface water balance Images are shown for June 29, 2010
15 Land Cover Land Use Map (Obtained from RAMS Surface Characteristics Dataset,
16 Land Cover Land Use Map (Obtained from RAMS Surface Characteristics Dataset, albedo emiss LAI vfrac zo zdisp rootdep LAND CLASS # Ocean Lakes rivers stre Ice cap/glacier Evergreen needlelea Deciduous needlelea Deciduous broadleaf Evergreen broadleaf Short grass Tall grass Desert Semi-desert Tundra Evergreen shrub Deciduous shrub Mixed woodland Crop/mixed farming Irrigated crop Bog or marsh Evergreen needlelea Evergreen broadleaf Deciduous needlelea Deciduous broadleaf Mixed cover Woodland Wooded grassland Closed shrubland Open shrubland Grassland Cropland Bare ground Urban and built up
17 Average Surface Albedo for Puerto Rico
18 Percentages of sand, silt and clay for Puerto Rico were obtained from the Soil Survey Geographic (SSURGO) Database of the USDA Natural Resource Conservation Service ( urgo/). Sand Silt Clay
19 Values of field capacity and wilting point were obtained from regression equations based on percent sand, silt and clay presented by Cemek et al. (2004). Field Capacity Wilting Point
20 (Obtained from RAMS Surface Characteristics Dataset, Land Cover Zero Plane Displacement Surface Roughness
21 (Root depth obtained from RAMS Surface Characteristics Dataset, Root depth CN number
22 Puerto Rico Surface Elevation (m)
23 GOES-13 Integrated Daily Solar Radiation (MJ/m 2 /day) for Puerto Rico on June 29 th, 2010.
24 Estimated Average Air Temperature for PR on June 29 th, 2010 (Obtained using lapse rate approach of Goyal et al. (1988), adjusted with measured air temperatures)
25 Effective Surface Temperature for PR on June 29 th, 2010.
26 Wind Speed (m/s) for Puerto Rico on June 29 th, 2010 (National Weather Service s National Digital Forecast Database ).
27 NET Radiation (MJ/m 2 /day) for Puerto Rico on June 29th, 2010 (Eestimated from solar radiation using method presented by Allen et al., 1998)
28 Latent Heat Flux (MJ/m 2 /day) for Puerto Rico on June 29 th, 2010
29 Sensible Heat Flux (MJ/m 2 /day) for Puerto Rico on June 29 th, 2010
30 Bulk Surface Resistance (s/m) for Puerto Rico on June 29 th, 2010
31 Aerodynamic Resistance (s/m) for Puerto Rico on June 29 th, 2010
32 Bulk Surface Resistance + Aerodynamic Resistance (s/m) for Puerto Rico on June 29, 2010
33 Estimated Actual Evapotranspiration (ET a ) for Puerto Rico on June 29 th, 2010.
34 Estimate crop coefficient (K c ) over Puerto Rico on June 29, 2010.
35 Rainfall over Puerto Rico on June 29, 2010 (NOAA s Advance Hydrologic Prediction Services).
36 Estimated surface runoff in Puerto Rico on June 29, 2010.
37 Estimated deep percolation on June 29, 2010.
38 Estimated soil moisture in Puerto Rico on June 29, 2010.
39 Summary and Conclusions We describe a method for estimating reference evapotranspiration in Puerto Rico, Haiti and the Dominican Republic. Methods for estimating the actual evapotranspiration and the water and energy budgets over Puerto Rico were described. Estimates of reference evapotranspiration for June 29, 2010, were provided for Puerto Rico, Haiti and the Dominican Republic, Estimated actual evapotranspiration, surface runoff, deep percolation and soil moisture content for Puerto Rico for the same day were presented. Components of the energy balance were also presented.
40 Future Work Complete the actual ET and water balance algorithm for DR and Haiti Automate the calculation process, which will publish the daily results on a website each day. Provide archived tabular and graphical results, and statistics of these data (e.g., wet season aquifer recharge)
41 Acknowledgements Financial Support: USDA-Hatch (H-402) NOAA-CREST (NA17AE1625) NSF-CASA (NSF )
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