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Transcript of 1 km 3 km 9 km.5 km Multiple Non-Uniform Resolution Grid Model Multiple Uniform Resolutions Multiple...
1 km
3 km
9 km
.5 km
Multiple Non-Uniform Resolution Grid Model
Multiple UniformResolutions
Multiple Non-UniformResolutions
Luis A. Bastidas, Norman L. MillerSoni Yatheendradas, Ajay Kalra, Jiming Jin
•Design and apply non-uniform LSM grids over the San Pedro Basin and test the sensitivity of the hydrologic response as forced by dynamical and statistical downscaling procedures.
•Compare the 1-3-9 km spatially aggregated non-uniform grid and fine-scale grid simulations to the medium-scale 12 km simulations.
•Compare fine-scale and non-uniform solutions and determine the non-uniform scales that result in solutions of similar accuracy as the fine-scale.
Multiple Non-Uniform Resolution Grid ModelSH flux
-100
0
100
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500LE flux
-100
0
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500
Grnd T
280
285
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325Soil Mois
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
9 km
SH flux
-100
0
100
200
300
400
500LE flux
-100
0
100
200
300
400
500
Grnd T
280
285
290
295
300
305
310
315
320
325Soil Mois
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0.5
1 kmPreliminary ResultsPreliminary ResultsLuis A. Bastidas, Norman L. MillerSoni Yatheendradas, Ajay Kalra, Jiming Jin
Distributed LSM Calibration
30 40 50 60 70 80 90 1000
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G
rou
nd
Tem
p R
MS
E [
K]
Sensible Heat RMSE [w/m²]
30 40 50 60 70 80 90 1000
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2
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5
Gro
un
d T
emp
RM
SE
[K
]
Latent Heat RMSE [w/m²]
30 40 50 60 70 80 90 100
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Sensible Heat RMSE [w/m²]
Lat
ent
Hea
t R
MS
E [
w/m
²]
Ground ObservationsP replacedS replacedP and S replaced
Ground ObservationsP replacedS replacedP and S replaced
S. Yathendradas, L. Bastidas, H. Gupta, S. Sorooshian
Exploring the use of remote sensing for calibration of the distributed land surface model over the San Pedro River.
Ongoing PILPS Semi Arid ExperimentLucky Hills
Kendall
Tucson
NEW MEXICO
L. Bastidas, H. Gupta, B. Nijseen, W. Emmerich, E. Small
SevilletaSites
SAHRA
NAME
Sponsors
Ongoing PILPS Science Questions
1. What is the ability of the models to reproduce the water, energy, and carbon exchanges in semi-arid environments?
2. Are the current (usually single) representations of semi-arid lands in the models enough to reproduce the different environments that exist in those areas?
3. Does model calibration reduce the among-model range in the model simulations?
4. How much influence does the model parameterization have on the parameter estimations of “physically meaningful” parameters?
5. Do current carbon representations, developed for forests, properly reproduce carbon exchanges over vegetated arid lands?
San Pedro Basin
1 km Resolution 4 km Resolution 9 km Resolution
CRITICAL ISSUES IN THE SAN PEDRO
Microcosm of local, state, & Internationalwater resources & sustainability issues
• Ft. Huachuca – largest employer in Southern Arizona
• Cananea Mine: 2-3% world’s copper
• Economic development and growthwithin the Sub-basin
• Groundwater is sole source of water for human use and sustaining San Pedro
R.
• Understanding the relationship of Groundwater to the San Pedro
Groundwater Depth and Deficit
0 50 km
San Pedro River
Benson
Tombstone
Sierra VistaFt. Huachuca
USA
MEXICO
Cananea
BL
M – SP
NR
CA
0 50 km
San Pedro River
Benson
Tombstone
Sierra VistaFt. Huachuca
USA
MEXICO
Cananea
BL
M – SP
NR
CA
1 km
3 km
9 km
.5 km
Multiple Non-Uniform Resolution Grid Model
0 50 km
San Pedro River
Benson
Tombstone
USA
MEXICO
Cananea
BL
M – SP
NR
CA
Sierra VistaFt. Huachuca
Uniform Resolution500m
Multiple UniformResolutions
Multiple Non-UniformResolutions
Luis A. Bastidas, Norman L. MillerSoni Yatheendradas, Ajay Kalra, Jiming Jin
0 50 km
San Pedro River
Benson
Tombstone
Sierra VistaFt. Huachuca
USA
MEXICO
Cananea
BL
M – SP
NR
CA
0 50 km
San Pedro River
Benson
Tombstone
USA
MEXICO
Cananea
BL
M – SP
NR
CA
Sierra VistaFt. Huachuca
0 50 km
San Pedro River
Benson
Tombstone
USA
MEXICO
Cananea
BL
M – SP
NR
CA
Sierra VistaFt. Huachuca
0 50 km
San Pedro River
Benson
Tombstone
USA
MEXICO
Cananea
BL
M – SP
NR
CA
Sierra VistaFt. Huachuca
•Design and apply non-uniform LSM grids over the San Pedro Basin and test the sensitivity of the hydrologic response as forced by dynamical and statistical downscaling pro-cedures.
•Compare the 1-3-9 km spatially aggregated non-uniform grid and fine-scale grid simulations to the medium-scale 12 km simulations.
•Compare fine-scale and non-uniform solutions and determine the non-uniform scales that result in solutions of similar accuracy as the fine-scale.