sib-rams/lpdm modeling for evaluating regional scale co 2 fluxes
DESCRIPTION
2007 ChEAS meeting. SiB-RAMS/LPDM modeling for evaluating regional scale CO 2 fluxes Marek Uliasz, Colorado State University. global CO 2 - PCTM. global CO 2 - PCTM. SiB-RAMS. global CO 2 - PCTM. SiB-RAMS. LPDM. global CO 2 - PCTM. SiB-RAMS. LPDM. influence functions for - PowerPoint PPT PresentationTRANSCRIPT
SiB-RAMS/LPDM modeling for evaluating regional scale CO2 fluxes
Marek Uliasz, Colorado State University
2007 ChEAS meeting
global CO2 - PCTM
global CO2 - PCTM
SiB-RAMS
global CO2 - PCTM
SiB-RAMS
LPDM
global CO2 - PCTM
SiB-RAMS
LPDM
influence functions for concentrations and flux measurements
-2000 -1000 0 1000 2000
x [km]
-1000
0
1000
y [km]
0
0.1
0.2
0.3
0.4
0.5
Influence functions for 31 towers for 30 day sampling period starting June 9, 2004 (passive tracer)
-2000 -1000 0 1000 2000
x[ km]
-1000
0
1000
y km]
0
0.0 1
0.0 5
0.1
0.5
1
2
respiration flux
-2000 -1000 0 1000 2000
x[ km]
-1000
0
1000
y km]
0
0.0 1
0.0 5
0.1
0.5
1
2
fossil fuel flux
-2
-1
-0.5
-0.1
-0.05
-0.01
0
-2000 -1000 0 1000 2000
x[ km]
-1000
0
1000
y km]
assimilation flux
-500 0 500 1000 1500
x [km]
-500
0
500
1000
1500
y [km]
0
0.1
0.2
-500 0 500 1000 1500
x [km]
-500
0
500
1000
1500
y [km]
0
0.1
0.2
WLEF 30m WLEF 396m
-500 0 500 1000 1500
x [km]
-500
0
500
1000
1500
y [km]
0
0 .01
0 .02
-500 0 500 1000 1500
x [km]
-500
0
500
1000
1500
y [km]
0
0 .01
0 .02
WLEF 396mWLEF 30m
Effect of local and distanst CO2 fluxesEffect of local and distanst CO2 fluxes
0
100
200
300
400
500
600
height [m]
SiB-RAMS vertical resolution
0
100
200
300
400
500
600
height [m]
SiB-RAMS vertical resolution
216 288 360 432 504 576 648 720 792 864 936
time [hours]
-30
-20
-10
0
10
20
CO2 [ppm]
SiB-RAMS
WLEF 396m
216 288 360 432 504 576 648 720 792 864 936
time [hours]
-30
-20
-10
0
10
20
CO2 [ppm]
SiB-RAMS
How big area around the WLEF need to be considered to allow surface CO2 fluxes to catch a larger scale concentration variability?
50 km?500 km?1000 km?Go global?
How big area around the WLEF need to be considered to allow surface CO2 fluxes to catch a larger scale concentration variability?
50 km?500 km?1000 km?Go global?
216 288 360 432 504 576 648 720 792 864 936
time [hours]
-20
-15
-10
-5
0
5
CO2 [ppm]
SiB-RAMS
LPDM R=50 km
216 288 360 432 504 576 648 720 792 864 936
time [hours]
-20
-15
-10
-5
0
5
CO2 [ppm]
SiB-RAMS
LPDM R=200 km
216 288 360 432 504 576 648 720 792 864 936
time [hours]
-20
-15
-10
-5
0
5
CO2 [ppm]
SiB-RAMS
LPDM R=500 km
216 288 360 432 504 576 648 720 792 864 936
time [hours]
-20
-15
-10
-5
0
5
CO2 [ppm]
SiB-RAMS
LPDM R=1000 km
216 288 360 432 504 576 648 720 792 864 936
time [hours]
-20
-15
-10
-5
0
5
CO2 [ppm]
SiB-RAMS
LPDM R=1500 km
216 288 360 432 504 576 648 720 792 864 936
time [hours]
-20
-15
-10
-5
0
5
CO2 [ppm]
SiB-RAMS
LPDM RAMS domain
0 4 8 12 16 20
tracer residence time in US domain [days]
0
0.02
0.04
0.06
0.08
0.1
frequency [-]
KWKT 457m
0 4 8 12 16 20
tracer residence time in US domain [days]
0
0.005
0.01
0.015
0.02
0.025
frequency [-]
WLEF 396m
0 4 8 12 16 20
tracer residence time in US domain [days]
0
0.005
0.01
0.015
0.02
0.025
frequency [-]
AMT 107m
0 4 8 12 16 20
tracer residence time in US domain [days]
0
0.005
0.01
0.015
0.02
0.025
frequency [-]
ARM 60m
0 4 8 12 16 20
tracer residence time in US domain [days]
0
0.005
0.01
0.015
0.02
0.025
frequency [-]
CDL 30m
0 4 8 12 16 20
tracer residence time in US domain [days]
0
0.005
0.01
0.015
0.02
0.025
frequency [-]
FRS 20m
0 4 8 12 16 20
tracer residence time in US domain [days]
0
0.005
0.01
0.015
0.02
0.025
frequency [-]
HRV 30m
0 4 8 12 16 20
tracer residence time in US domain [days]
0
0.005
0.01
0.015
0.02
0.025
frequency [-]
WPL 10m
Tracer residence time [days] for different towers in 5800x3400 km modeling domain over continental US derived from SiB-RAMS/LPDM simulations for 30 day period (June 9 - July 8, 2004)
0 20 days
0
0.04
0.08
0.12
0.16
0.2
frequency [-]
0 12 24 36 48 60 72tracer residence time [hours]
600x600km domain
CO2 at 396m WLEF towerinfluence functions analysis for 600x600kn domain
CO2 at 396m WLEF towerinfluence functions analysis for 600x600kn domain
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-50
0
50
100
150
200
250
300
350
400
CO2 [ppm]
initial field
WLEF 396m
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-50
0
50
100
150
200
250
300
350
400
CO2 [ppm]
initial field
inflow flux
WLEF 396m
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-50
0
50
100
150
200
250
300
350
400
CO2 [ppm]
initial field
inflow flux
backgroundWLEF 396m
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-50
0
50
100
150
200
250
300
350
400
CO2 [ppm]
initial field
inflow flux
background
surface flux
WLEF 396m
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-25
-20
-15
-10
-5
0
5
10
15
CO2 [ppm]
background variations
surface flux
WLEF 396m
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-25
-20
-15
-10
-5
0
5
10
15
CO2 [ppm]
background variationsWLEF 396m
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-25
-20
-15
-10
-5
0
5
10
15
CO2 [ppm]
background variations
respiration
WLEF 396m
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-25
-20
-15
-10
-5
0
5
10
15
CO2 [ppm]
assimilation
background variations
respiration
WLEF 396m
161 162 163 164 165 166 167 168 169 170 171sampling time [days]
-25
-20
-15
-10
-5
0
5
10
15
CO2 [ppm]
fossil fuel
assimilation
background variations
respiration
WLEF 396m
171 172 173 174 175 176 177 178 179 180 181sampling time [days]
-25
-20
-15
-10
-5
0
5
10
15
CO2 [ppm]
fossil fuel
assimilation
background variationsrespiration
WLEF 396m
181 182 183 184 185 186 187 188 189 190 191sampling time [days]
-25
-20
-15
-10
-5
0
5
10
15
CO2 [ppm]
fossil fuel
assimilation
background variationsrespiration
WLEF 396m
162 165 168 171 174 177 180 183 186 189sampling time [days]
-25
-20
-15
-10
-5
0
5
10
15
CO2 [ppm]
fossil fuel
assimilation
background variationsrespiration
WLEF 396m
216 240 264 288 312 336 360 384 408 432 456 480
sampling time [hours]
350
360
370
380
390
400
CO2 [ppm]
WLEF 396m obsSiB-RAMSSiB-RAMS/LPDM (600x600km)
216 240 264 288 312 336 360 384 408 432 456 480
sampling time [hours]
350
360
370
380
390
400
CO2 [ppm]
WLEF 396m obsSiB-RAMSSiB-RAMS/LPDM (600x600km)
216 240 264 288 312 336 360 384 408 432 456 480
sampling time [hours]
350
360
370
380
390
400
CO2 [ppm]
WLEF 396m obsSiB-RAMSSiB-RAMS/LPDM (600x600km)
350
360
370
380
390
400
CO2 [ppm]
WLEF 396m obsSiB-RAMS/LPDM, c0=5
SiB-RAMS/LPDM, c0=2
216 240 264 288 312 336 360 384 408 432 456 480
sampling time [hours]
350
360
370
380
390
400
CO2 [ppm]
WLEF 396m obsSiB-RAMS/LPDM, c0=5
SiB-RAMS/LPDM, c0=2
216 240 264 288 312 336 360 384 408 432 456 480
sampling time [hours]
2 ( , , ) (( , , , ) ( , ,) ( ) ), )RCO AFLUX x y t R x y t A x yx ty x yβ β= +
respiration & assimilation fluxes simulated by SiB-RAMS
respiration & assimilation fluxes simulated by SiB-RAMS
time independent corrections to beestimated from concentration data
for each inversion cycle
time independent corrections to beestimated from concentration data
for each inversion cycle
k – index over observations (sampling times and towers)i – index over source areas (grid cells)
Implementation for a given inversion cycle Implementation for a given inversion cycle