2016 PennState project meeting
2017 FortCollins project meeting
2018 LaRC project meeting
2020 Virtual meeting
ppt
WRF_VPRM evaluation using ACT-America data

Simulations
WRF Version
PBL scheme
Initiation Time
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University of Oklahoma, CAPS
Xiao-Ming Hu
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Observations
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

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Univ. of Oklahoma, CAPS
Xiao-Ming Hu
Comments?

 
Interactive platform Python Mar28_2024 Pampa
Interactive platform Python Jun 26, 2024
Interactive platform Python Aug 1 2024; full data; Interactive platform ArcGIS by Dr. Deng

Vertical resolution
100mb 20mb 10mb
(0) 11.15619
(1) 33.48376
(2) 55.84625
(3) 78.24921
(4) 100.6941
(5) 130.6973
(6) 168.2993
(7) 206.0258
(8) 262.9083
(9) 339.2218
(10) 416.324
(11) 494.2875
(12) 573.061
(13) 652.6377
(14) 753.3575
(15) 875.7227
(16) 999.9044
(17) 1125.929
(18) 1297.357
(19) 1516.026
(20) 1740.34
(21) 1970.525
(22) 2231.12
(23) 2523.825
(24) 2826.111
(25) 3138.408
(26) 3461.319
(27) 3795.653
(28) 4142.276
(29) 4502.222
(30) 4909.277
(31) 5367.915
(32) 5851.041
(33) 6362.054
(34) 6945.672
(35) 7610.837
(36) 8327.282
(37) 9104.302
(38) 9896.749
(39) 10646.46
(40) 11407.02
(41) 12172.92
(42) 12951.79
(43) 13732.4
(44) 14517.87
(45) 15284.54
(46) 15891.88
(0) 12.17377
(1) 36.53989
(2) 60.94843
(3) 85.40555
(4) 109.9128
(5) 142.6807
(6) 183.7574
(7) 224.9828
(8) 287.1807
(9) 370.7034
(10) 455.1675
(11) 540.6235
(12) 627.0408
(13) 714.4216
(14) 825.1357
(15) 959.7851
(16) 1096.621
(17) 1235.691
(18) 1425.217
(19) 1667.391
(20) 1916.387
(21) 2172.555
(22) 2463.457
(23) 2791.201
(24) 3130.808
(25) 3483.037
(26) 3848.86
(27) 4229.324
(28) 4625.813
(29) 5040.161
(30) 5512.624
(31) 6050.107
(32) 6622.21
(33) 7232.885
(34) 7937.304
(35) 8751.542
(36) 9647.146
(37) 10643.01
(38) 11692.19
(39) 12735.86
(40) 13870.7
(41) 15103.79
(42) 16491.98
(43) 18066.19
(44) 19985.01
(45) 22343.43
(46) 24836.16
(0) 12.30045
(1) 36.92014
(2) 61.5827
(3) 86.2948
(4) 111.0581
(5) 144.1694
(6) 185.678
(7) 227.3381
(8) 290.1893
(9) 374.591
(10) 459.9611
(11) 546.3466
(12) 633.7046
(13) 722.0432
(14) 833.9879
(15) 970.1503
(16) 1108.546
(17) 1249.227
(18) 1440.998
(19) 1686.1
(20) 1938.182
(21) 2197.613
(22) 2492.363
(23) 2824.626
(24) 3169.081
(25) 3526.494
(26) 3897.887
(27) 4284.374
(28) 4687.423
(29) 5109.036
(30) 5590.462
(31) 6138.808
(32) 6722.99
(33) 7347.282
(34) 8068.738
(35) 8904.639
(36) 9826.656
(37) 10856.03
(38) 11948.23
(39) 13046.19
(40) 14254.95
(41) 15586.73
(42) 17124.03
(43) 18928.34
(44) 21261.04
(45) 24407.69
(46) 28355.85
Fig. 1, SRTM terrain height
Fig. 2, CH4 release rate
Fig. 3, plume overlay
Fig. 4, TS CH4 from Wes
Fig. 5, TS T2 sim vs obs
Fig. 6, Combined ; (Sounding 12z; 23z)
Fig. 7 cross-section CH4
Fig. 8 cross-section KH & T
Fig. 9 Spatial T & w
Fig. 10 cross-section CH4 3 more times
Fig. 11 Spatial T & w
Fig. 12, CH4 enhancement ratio d04 d03
Fig. 13 cross-section KH & T for 3 SGS
Fig. 14, CH4 enhancement ratio d04

Hu, X.-M.,Gourdji, S. M., Davis, K. J., Wang, Q., Zhang, Y., Xue, M., . . . Crowell, S. M. R. (2021). Implementation of improved parameterization of terrestrial flux in WRF-VPRM improves the simulation of nighttime CO2 peaks and a daytime CO2 band ahead of a cold front. Journal of Geophysical Research: Atmospheres, e2020JD034362. 10.1029/2020JD034362.
Fig. 1, Domain config
Fig. 2, TS of CO2 flux at Ne3 Stats
Fig. 3, TS CO2 6 towers
Fig. 4, TS CO2 6 towers mean diurnal
Fig. 5, TS CO2 6 towers July
Fig. 6, profile LEF
Fig. 7, profile WBI
Fig. 8, profile BAO
Fig. 9, soundings
Fig. 10, CO2 overlay
Fig. 11, CO2 crosssection d02
Fig. 12, CO2 component d02 along B200 Flight
Fig. 13, CO2 component spatial
Fig. 14, CO2 crosssection d02 nighttime
Fig. 15, control-Sen1
Fig. 16, Control-Sen1 11-12CST
Fig. 17, CO2 component d02 along B200 S1S2
Fig. 18, Control-Sen2

Hu, X.-M., S. Crowell, Q. Wang, Y. Zhang, K. J. Davis, M. Xue, X. Xiao, B. Moore, X. Wu, Y. Choi, and J. P. DiGangi (2020), Dynamical Downscaling of CO2 in 2016 over the contiguous United States using WRF-VPRM, a weather-biosphere-online-coupled model, J. Adv. Modeling Earth Systems, 10.1029/2019MS001875.
Fig assemble
Fig. 1, VPRM inputs: CT2017_ODIAC; EDGAR
Fig. 2 T2 evaluation part 1
part 2
Fig. 4. Td evaluation part 1
part 2
Fig. 6 precip evaluation Part 1 ; Hilton3ReShrubRES run
Part 2
Fig. 8 bio flux CT vs. WRF-VPRM part 1; CT2017; CT-NRT.v2017
part 2
Fig. 10 TS bio flux CT vs. WRF-VPRM
Fig. 11 SIF
Fig. 12 TS@TCCON ODIAC_CT2017; Hilton3ReShrubRES
Fig. 13 VS NOAA flights at2sites
Fig. 14 OverlayMonthly & contribution CT2017_ODIAC run; old
Fig. 15 XCO2 overlay cases CT2017_ODIAC run; old run
Fig. 16 NOAA weather analysis
Fig. 17 from Qingyu
Fig. 18 TS contribution CT2017_ODIAC run; old run
Fig. 19 case 7/25
Fig. 20 case 7/25 B200
Fig. 21 case 8/5: with theta ; old
Fig. 22 profile 8/5: C130+RRS only C130
Fig. 23 8/5 B200
Fig. 24 profile 8/5 B200
Fig. 25 case 8/21
Fig. 26 case 8/21 B200
Fig. 27 profile 8/21 B200: B200+RRS; only B200
______old__________
Fig. 25 profile 8/21
CT2017_ODIAC run ; Hilton3ReShrubRES run

Hu, X.-M., et al. (2021). Multi-sensor and Multi-model Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front over Eastern China. J. Geophys. Res.-Atmospheres, 10.1029/2020JD033538.
MultiModelMultiSensor2016Dec9 Fig ; tet
Fig1 DomainConfig+CO2emission ; NCL
Fig2, MICAPS weather map from Danhua
Fig3 emission NO vs. CO2; scattering
Fig4 TS_PM with PM LinAn (CO2; without PM LinAn)
Fig5 south penetration
Fig6 T2 overlay PBLH
Fig7 Profile two_models; old_one_model
Fig8 WSP NO XCO2
Fig9 4 satellite spatial 500mb AIRS CO; NCL; near-surface CO
Fig10 spatial CO & PM2.5
Fig11, scattering between simulated XCO2 vs. MODIS AOD
Fig12 contribution of NCP
Fig13 4 XCO2 cases