Version:
V3.5
V3.6
V4.0
V4.3
Cases:
ug3vg9
ug3vg18
ug1vg3
Peru_Manaus
PBL:
YSU48layers
YSU61layrs
YSUmonthly
ACM2monthly
ACM2_Jan1
YSU_Jan1
YSU_cloudInitJan1
ACM2_cloudInitJan1
YSUlam150_cloudInitJan1
YSUnudge2ACM_cloudInitJan1 0kFreeTro
YSUnudge2ACMTrue_cloudInitJan1
YSUnudge2ACMTrueOR_cloudInitJan1
YSUnudge2ACMTrueORMatchConst_cloudInitJan1
MYNN_EDMF_cloudInitJan1
MYNN_EDMF_cloudInitJan1_plume5500
MYNN_EDMF_cloudInitJan1_plume4500
MYNN_EDMF_cloudInitJan1_plume3500
MYNN_EDMF_cloudInitJan1_plume2500
MYNN_EDMF_cloudInitJan1_plume1500
MYNN_EDMF_cloudInitJan1_plume500
BouLac
ShinHong
combine
QNSE
MYJ
ERA5_PeruYongjieConfigYSU80.2019010100
withChem?
pureMeteo
pureMeteoOutputEXCH_parater0.001
pureMeteoOutputEXCH_parater0.1
pureMeteoOutputEXCH_parater0.1_shape10_lower
pureMeteoOutputEXCH
pureMeteoOutputEXCH_200m
pureMeteo_kasfluxprofile 200m
pureMeteo_fraction1_1 200m
pureMeteo4km_fraction1_1
pureMeteo4km_fraction1_0
pureMeteo4km_fraction0_9
pureMeteo4km_fraction0_8
pureMeteo4km_fraction0_7
pureMeteo4km_orgE_Fra1_1
pureMeteo4km_orgE_Fra1_0
pureMeteo4km_orgE_Fra0_9
pureMeteo4km_orgE_Fra0_8
pureMeteo4km_orgE_Fra0_7
pureMeteo4km_orgE_sur0_4T_Fra1_1
pureMeteo4km_orgE_sur0_4T_Fra1_0
pureMeteo4km_orgE_sur0_4T_Fra0_9
pureMeteo4km_orgE_sur0_4T_Fra0_8
pureMeteo4km_orgE_sur0_4T_Fra0_7
pureMeteo4km_orgE_sur0_4T_FraCombine
MeteoBeijing4km_orgE_sur0_4T_FraCombine
MeteoBeijing4km_orgE_sur0_4_FraCombine_00
MeteoBeijing4km48layer_orgE_sur0_4_FraCombine
MeteoBeijing4km_orgE_sur0_4_CO2combine
MeteoBeijing_CO2_yearly_combine_extreme
MeteoBeijing_CO2_yearly_combine
analytic
MeteoBeijing4km_orgE_sur0_4_Fra1_1
MeteoBeijing4km_orgE_sur0_4_Fra1_0
MeteoBeijing4km_orgE_sur0_4_Fra0_9
MeteoBeijing4km_orgE_sur0_4_Fra0_8
MeteoBeijing4km_orgE_sur0_4_Fra0_7
MeteoBeijing4km_orgE_Fra1_1
MeteoBeijing4km_orgE_Fra1_0
MeteoBeijing4km_orgE_Fra0_9
MeteoBeijing4km_orgE_Fra0_8
MeteoBeijing4km_orgE_Fra0_7
---------------------------------
pureMeteo4km_orgE_sur0_4_Fra1_1
pureMeteo4km_orgE_sur0_4_Fra1_0
pureMeteo4km_orgE_sur0_4_Fra0_9
pureMeteo4km_orgE_sur0_4_Fra0_8
pureMeteo4km_orgE_sur0_4_Fra0_7
pureMeteoOutputEXCH_shape10_lower
pureMeteoOutputEXCH_shape1000_lower
pureMeteoOutputEXCH_parater10
pureMeteoOutputEXCH_parater50
pureMeteoOutputEXCH_parater0.001_shape0.001
pureMeteoOutputEXCH_parater0.001_shape1
pureMeteoOutputEXCH_parater0.001_shape10
pureMeteoOutputEXCH_parater0.001_shape10_lower
pureMeteoOutputEXCH_parater0.001_shape0.001_lower
chem
variables:
TpotentialprofileUnifyWithMark
TpotentialprofileUnify
Tpotentialprofile
Tpotentialprofile3
Tpotentialprofilehourly
WSPprofile
EXCH_Hprofile
FluxesParameterized_profile
MF_profile
AU_profile
AD_profile
scalingF_profile
QVAPORprofile
TS_WSP
TS_WSPlayer4
TS_WSP10m
TS_UST
TS_UVvector
o3profile
Fri
FriStable
speed:
normal
fast
slow
toggle
 
Xiaoming Hu
Comments?
Hu, X.-M.
, M. Xue, and X. Li (2019), The Use of High-Resolution Sounding Data to Evaluate and Optimize Non-Local PBL Schemes for Simulating the Slightly Stable Upper Convective Boundary Layer.
Mon. Wea. Rev.
, doi:
10.1175/MWR-D-19-0085.1
.
Fig 1
domain configuration
;
R0
Fig 2
PBL diagnose example
Fig 3
composite profile
;
R0
Fig 4
analytic solution
;
R0
Fig 5
1D temp profile
;
with values
Fig 6
1D flux profile
Fig 7
profile 14 cases
Fig 8
spatial overlay
Fig 9
profile 2 cases
;
with values
Fig 10
composite sim vs obs
;
only theta
;
with values
quasisteady_states