espam 2 status update
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ESPAM 2 Status Update. November 2009 B. Contor and S. Taylor. ESPAM2 Water Budget Checks. Stacey Taylor November 17, 2009. Keep in mind that a value of 1 = Stress periods 1 through 6 and 2 is 7 through 12. This is the same for all upcoming slides. - PowerPoint PPT PresentationTRANSCRIPT
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ESPAM 2 Status Update
November 2009B. Contor and S. Taylor
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ESPAM2 Water Budget Checks
Stacey TaylorNovember 17, 2009
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1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 551920000
1940000
1960000
1980000
2000000
2020000
2040000
2060000
2080000
Irrigated Area
Consolidated stress periods
Acre
s
Keep in mind that a value of 1 =
Stress periods 1 through 6 and 2 is 7 through 12. This is the same for all upcoming
slides.
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1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55910000
920000
930000
940000
950000
960000
970000
980000
990000
1000000
Area Irrigated by Ground Water
Consolidated stress periods
Acre
s
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1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55960000
980000
1000000
1020000
1040000
1060000
1080000
1100000
Area Irrig by Surface Water
Consolidated stress periods
Acre
s
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1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 555080000
5100000
5120000
5140000
5160000
5180000
5200000
5220000
5240000
Area Not Irrigated
Consolidated stress periods
Acre
s
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0 10 20 30 40 50 60-500000
0
500000
1000000
1500000
2000000
2500000
Recharge on GW Irrig Lands
Consolidated stress periods
Acre
-ftNegatives oc-
cur in the winter time
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0 10 20 30 40 50 600
500000
1000000
1500000
2000000
2500000
3000000
3500000
4000000
4500000
5000000
Recharge on SW Irrig Lands
Consolidated stress periods
Acre
-ft
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0 10 20 30 40 50 600
50000
100000
150000
200000
250000
Recharge on NIR LandsAc
re-ft
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0 10 20 30 40 50 600
200000
400000
600000
800000
1000000
1200000
1400000
1600000
1800000
Precip on Irrigated Lands
Consolidated stress periods
Acre
-ft
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0 10 20 30 40 50 600
500000
1000000
1500000
2000000
2500000
3000000
3500000
4000000
4500000
5000000
Precip on Non-Irrig Lands
Consolidated stress period
Acre
-ft
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0 10 20 30 40 50 600
1000000
2000000
3000000
4000000
5000000
6000000
ET on Irrigated Lands
Consolidated stress periods
Acre
-ft
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0 10 20 30 40 50 600
500000
1000000
1500000
2000000
2500000
3000000
ET on GW Irrig Lands
Consolidated stress periods
Acre
-ft
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0 10 20 30 40 50 600
500000
1000000
1500000
2000000
2500000
3000000
3500000
ET on SW Irrig Lands
Consolidated stress periods
Acre
-ft
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0 10 20 30 40 50 600
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
Surface Water Volume
Consolidated stress periods
Acre
-ft
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0 10 20 30 40 50 600
500000
1000000
1500000
2000000
2500000
3000000
3500000
4000000
Canal Output FileVo
lum
e [a
c-ft
]
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0 10 20 30 40 50 600
100000
200000
300000
400000
500000
600000
Tributary Underflow Output File
Consolidated stress periods
Acre
-ft
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0 10 20 30 40 50 600
100000
200000
300000
400000
500000
600000
700000
Perched River Seepage Output File
Consolidated stress periods
Acre
-ft
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0 10 20 30 40 50 60-70000
-60000
-50000
-40000
-30000
-20000
-10000
0
Offsite Pumping Output File
Consolidated stress periods
Ac-ft
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Putting the Pieces Together:ESPAM2 Water Budget
B. ContorNovember 2009
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I don't know which is more accurate....
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Two Issues:
• ESPAM2.0.2 (GIS part of recharge tool)– "It worked fine when we tested it..."
• We haven't yet had time to combine, test, and evaluate– As Stacey showed you, individual pieces look
reasonable.– Data are OK? But processing isn’t?– Does it stitch together into a whole that makes
sense?
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Two things you need to know about...
• Soils • Precipitation
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ESPAM2: "Brown"Alternate: "Brown"
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ESPAM2: "Brown"Alternate: “Blue"
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ESPAM2.0.2.exe
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ESPAM2.0.2.exe• Interpolation of an interpolation• Cells seldom identically match points• Smooth and purdy
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ESPAM2.0.2.exe• Interpolation of an interpolation• Cells seldom identically match points• Smooth and purdy
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Alternate Method
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Alternate Method• Nearest-neighbor assignment of interpolation• Cells identically match points• Not quite as smooth• Uses a fresh data download; any updates the PRISM folks may
have made are automatically incorporated.
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Reality Check: PRISM interpolates maybe 25 observations to 11,000 square miles. How spun up do we want to get on spatial differences of a mile or two?
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DISCUSSION