evaluating the integration of a virtual et sensor into anngnps model
DESCRIPTION
Evaluating the Integration of a Virtual ET Sensor into AnnGNPS Model. Dath Mita Lance Yarbrough Henrique Momm [The University of Mississippi]. Rapid Prototyping Capability Project. Collaborators Ronald Bingner (Ron) [USDA-ARS National Sedimentation Lab] Robert Ryan - PowerPoint PPT PresentationTRANSCRIPT
The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
Evaluating the Integration of a Virtual ET Sensor into AnnGNPS Model
Rapid Prototyping Capability Project
Dath MitaLance YarbroughHenrique Momm
[The University of Mississippi]
Collaborators
Ronald Bingner (Ron)[USDA-ARS National Sedimentation Lab]
Robert Ryan[SSAI-John C. Stennis Space Center]
The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
Objectives
To provide a quantitative evaluation of the relationship between the potential evapotranspiration [ETP], Vegetation Index VI [MODIS data], and Land Surface Temperature LST [TRMM data]
To develop and evaluate a Virtual ET Sensor [VETS] model for estimating ETP using VI and LST data
To evaluate the possibility of applying VETS model ETP estimates in AnnAGNPS
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The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
AnnAGNPS [Annualized Agricultural Nonpoint Source Pollution
Model]
AnnAGNPS is a distributed, continuous simulation watershed-scale program [developed by USDA]
Simulates point and nonpoint source [daily] quantities of: surface water, sediment, nutrients, and pesticides
The model output is expressed on an event basis for selected stream reaches and as source accounting [contribution to outlet]
The model can be used to evaluate Best Management Practices [BMPs].
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The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
AnnAGNPS: Key Processes
Climate – Climate data are generated using GEM and Complete Climate
Hydrology – Daily soil moisture balance Runoff – SCS curve number Subsurface flow – lateral subsurface flow using
Darcy’s equation or tile drain flow Rill and sheet erosion – RUSLE Sediment delivery – HUSLE Chemical routing – dissolved or adsorbed by mass
balance approach Potential evapotranspiration [ET]– Penman equation
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The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
Project Overview
Current AnnAGNPS ET input process:
ETactual is derived as a function of ETpotential and Soil moisture content
ETpotential is based on PENMAN equation
Long process requiring several climate data inputs [wind, temperature, precip etc]
Limited ground weather stations limited and generalized watershed ET estimates
We propose to estimate ETpotential using a Virtual ET Sensor [VETS] based on input data from MODIS and TRMM satellites
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The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
Project Overview (cont..)
Decision Support System enhancement throughReplacement of PENMAN equation process with VETS
modelProviding alternative method for derivation of ETpotential
Tasks:Developing the VETS modelInitial validation of the VETS model using MOD16 [ET]
and field dataInvestigate application of VETS ET estimates in
AnnAGNPSInvestigate application of VIIRS [simulated] data in
AnnAGNPSAnnAGNPS performance evaluation
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The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
STUDY AREALower Mississippi, Yazoo River Basin
Yalobusha Watershed
0 25 5012.5 Miles 4
Yalobusha Watershed
0 10 205 Miles
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Yalobusha Watershed
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Rationale:-long history of hydrologic work-extensive infrastructure-long history of hydrologic data-NSL past & ongoing projects
The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
VETS: Concept
Weather historical data
Land Surface Temperature GridVegetation Index Grid
Pixel ETp VI LST
1 Y1 X11 X21
2 Y2 X12 X22
n Yn X1n X2n
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The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
J F M A M J J A S O N D
Simulation period
Yalobusha Watershed [08030205]
Data:IR + R bands
MODISVI
GRID
AnnAGNPS
Analysis & EvaluationFinal Report
Peak Runoff est.Sediment yieldNutrient load
Project Summary:
Weather Station
DataLand Surface
TempLST GRID
Simulations
Virtual ET Sensor:
Regression model
MOD16
MODIS daily PET GRID
VIIRS daily PET GRID
Penman ET data
Outputs
Simulated VIIRS
VI GRID
MOD16
MODIS
TRIMM
validation
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The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
Project Schedule & Status
The University of Mississippi Geoinformatics CenterNASA MRC RPC – 11 July 2007
Thanks