2D plotting of LES output#
The below notebook compares selected simulations against observational targets that were collected from satellite and ground-based retrievals.
In case of questions or concerns, please notify Ann Fridlind (ann.fridlind@nasa.gov), Timothy Juliano (tjuliano@ucar.edu), and Florian Tornow (ft2544@columbia.edu).
%run functions_plotting.py
## select simulations to plot
sim_keyword = 'Lx25_dx100_FixN_2' #Lx25_dx100_FixN_2D'
%run functions_plotting.py
var_vec_2d = ['alb']
## load all simulations located in subfolders of the given directory
df_col_2d = load_sims_2d('/data/project/comble-mip/output_les/',var_vec_2d,t_shift=-2,keyword=sim_keyword)
Loading variables: f(time,x,y)
/data/project/comble-mip/output_les/wrf/WRF_Lx25_dx100_FixN_2D.nc
ERROR 1: PROJ: proj_create_from_database: Open of /opt/conda/share/proj failed
NaN values in alb
/data/project/comble-mip/output_les/scale-sdm/scale-sn14_Lx25_dx100_FixN_2d.nc
...adjusting x and y values
/data/project/comble-mip/output_les/dharma/DHARMA_Lx25_dx100_FixN_2D.nc
/data/project/comble-mip/output_les/uclales-salsa/UCLALES-SALSA_Lx25_dx100_FixN_2D.nc
...adjusting x and y values
df_col_2d
<xarray.Dataset> Size: 3GB
Dimensions: (x: 256, y: 256, time: 121, Source: 4)
Coordinates:
* x (x) float64 2kB -1.28e+04 -1.27e+04 ... 1.26e+04 1.27e+04
* y (y) float64 2kB -1.28e+04 -1.27e+04 ... 1.26e+04 1.27e+04
* time (time) datetime64[ns] 968B 2020-03-12T22:00:00 ... 2020-03-13...
* Source (Source) <U49 784B 'wrf/WRF_Lx25_dx100_FixN_2D.nc' ... 'uclal...
Data variables: (12/13)
hfss (Source, time, x, y) float64 254MB nan nan nan ... 167.1 167.6
hfls (Source, time, x, y) float64 254MB nan nan nan ... 164.0 164.7
ustar (Source, time, x, y) float64 254MB nan nan nan ... 0.4567 0.4594
us (Source, time, x, y) float64 254MB nan nan nan ... 7.756 7.968
vs (Source, time, x, y) float64 254MB nan nan nan ... -6.512 -6.347
pr (Source, time, x, y) float64 254MB nan nan ... 5.878e-05
... ...
iwp (Source, time, x, y) float64 254MB nan nan nan ... 0.6968 0.8057
opt (Source, time, x, y) float64 254MB nan nan nan ... 7.164 7.41
alb (Source, time, x, y) float64 254MB nan nan nan ... 0.3553 0.3631
olr11 (Source, time, x, y) float64 254MB nan nan nan ... 11.49 7.091
x_round_ph (Source, x) float64 8kB -12.8 -12.7 -12.6 ... 12.5 12.6 12.7
y_round_ph (Source, y) float64 8kB -12.8 -12.7 -12.6 ... 12.5 12.6 12.7
Attributes: (12/17)
title: WRF LES results for COMBLE-MIP case: fixed Nd and Ni
reference: https://github.com/ARM-Development/comble-mip
authors: Tim Juliano (tjuliano@ucar.edu)
version: 2024-08-07 11:59:53
format_version: DEPHY SCM format version 1.6
script: convert_WRF_LES_output_to_dephy_format.ipynb
... ...
dx: 100.0 m
dy: 100.0 m
dz: see ze variable
nx: 256
ny: 256
nz: 159xarray.Dataset
- x: 256
- y: 256
- time: 121
- Source: 4
- x(x)float64-1.28e+04 -1.27e+04 ... 1.27e+04
- units :
- m
- long_name :
- x
array([-12800., -12700., -12600., ..., 12500., 12600., 12700.])
- y(y)float64-1.28e+04 -1.27e+04 ... 1.27e+04
- units :
- m
- long_name :
- y
array([-12800., -12700., -12600., ..., 12500., 12600., 12700.])
- time(time)datetime64[ns]2020-03-12T22:00:00 ... 2020-03-...
- long_name :
- time
array(['2020-03-12T22:00:00.000000000', '2020-03-12T22:10:00.000000000', '2020-03-12T22:20:00.000000000', '2020-03-12T22:30:00.000000000', '2020-03-12T22:40:00.000000000', '2020-03-12T22:50:00.000000000', '2020-03-12T23:00:00.000000000', '2020-03-12T23:10:00.000000000', '2020-03-12T23:20:00.000000000', '2020-03-12T23:30:00.000000000', '2020-03-12T23:40:00.000000000', '2020-03-12T23:50:00.000000000', '2020-03-13T00:00:00.000000000', '2020-03-13T00:10:00.000000000', '2020-03-13T00:20:00.000000000', '2020-03-13T00:30:00.000000000', '2020-03-13T00:40:00.000000000', '2020-03-13T00:50:00.000000000', '2020-03-13T01:00:00.000000000', '2020-03-13T01:10:00.000000000', '2020-03-13T01:20:00.000000000', '2020-03-13T01:30:00.000000000', '2020-03-13T01:40:00.000000000', '2020-03-13T01:50:00.000000000', '2020-03-13T02:00:00.000000000', '2020-03-13T02:10:00.000000000', '2020-03-13T02:20:00.000000000', '2020-03-13T02:30:00.000000000', '2020-03-13T02:40:00.000000000', '2020-03-13T02:50:00.000000000', '2020-03-13T03:00:00.000000000', '2020-03-13T03:10:00.000000000', '2020-03-13T03:20:00.000000000', '2020-03-13T03:30:00.000000000', '2020-03-13T03:40:00.000000000', '2020-03-13T03:50:00.000000000', '2020-03-13T04:00:00.000000000', '2020-03-13T04:10:00.000000000', '2020-03-13T04:20:00.000000000', '2020-03-13T04:30:00.000000000', '2020-03-13T04:40:00.000000000', '2020-03-13T04:50:00.000000000', '2020-03-13T05:00:00.000000000', '2020-03-13T05:10:00.000000000', '2020-03-13T05:20:00.000000000', '2020-03-13T05:30:00.000000000', '2020-03-13T05:40:00.000000000', '2020-03-13T05:50:00.000000000', '2020-03-13T06:00:00.000000000', '2020-03-13T06:10:00.000000000', '2020-03-13T06:20:00.000000000', '2020-03-13T06:30:00.000000000', '2020-03-13T06:40:00.000000000', '2020-03-13T06:50:00.000000000', '2020-03-13T07:00:00.000000000', '2020-03-13T07:10:00.000000000', '2020-03-13T07:20:00.000000000', '2020-03-13T07:30:00.000000000', '2020-03-13T07:40:00.000000000', '2020-03-13T07:50:00.000000000', '2020-03-13T08:00:00.000000000', '2020-03-13T08:10:00.000000000', '2020-03-13T08:20:00.000000000', '2020-03-13T08:30:00.000000000', '2020-03-13T08:40:00.000000000', '2020-03-13T08:50:00.000000000', '2020-03-13T09:00:00.000000000', '2020-03-13T09:10:00.000000000', '2020-03-13T09:20:00.000000000', '2020-03-13T09:30:00.000000000', '2020-03-13T09:40:00.000000000', '2020-03-13T09:50:00.000000000', '2020-03-13T10:00:00.000000000', '2020-03-13T10:10:00.000000000', '2020-03-13T10:20:00.000000000', '2020-03-13T10:30:00.000000000', '2020-03-13T10:40:00.000000000', '2020-03-13T10:50:00.000000000', '2020-03-13T11:00:00.000000000', '2020-03-13T11:10:00.000000000', '2020-03-13T11:20:00.000000000', '2020-03-13T11:30:00.000000000', '2020-03-13T11:40:00.000000000', '2020-03-13T11:50:00.000000000', '2020-03-13T12:00:00.000000000', '2020-03-13T12:10:00.000000000', '2020-03-13T12:20:00.000000000', '2020-03-13T12:30:00.000000000', '2020-03-13T12:40:00.000000000', '2020-03-13T12:50:00.000000000', '2020-03-13T13:00:00.000000000', '2020-03-13T13:10:00.000000000', '2020-03-13T13:20:00.000000000', '2020-03-13T13:30:00.000000000', '2020-03-13T13:40:00.000000000', '2020-03-13T13:50:00.000000000', '2020-03-13T14:00:00.000000000', '2020-03-13T14:10:00.000000000', '2020-03-13T14:20:00.000000000', '2020-03-13T14:30:00.000000000', '2020-03-13T14:40:00.000000000', '2020-03-13T14:50:00.000000000', '2020-03-13T15:00:00.000000000', '2020-03-13T15:10:00.000000000', '2020-03-13T15:20:00.000000000', '2020-03-13T15:30:00.000000000', '2020-03-13T15:40:00.000000000', '2020-03-13T15:50:00.000000000', '2020-03-13T16:00:00.000000000', '2020-03-13T16:10:00.000000000', '2020-03-13T16:20:00.000000000', '2020-03-13T16:30:00.000000000', '2020-03-13T16:40:00.000000000', '2020-03-13T16:50:00.000000000', '2020-03-13T17:00:00.000000000', '2020-03-13T17:10:00.000000000', '2020-03-13T17:20:00.000000000', '2020-03-13T17:30:00.000000000', '2020-03-13T17:40:00.000000000', '2020-03-13T17:50:00.000000000', '2020-03-13T18:00:00.000000000'], dtype='datetime64[ns]') - Source(Source)<U49'wrf/WRF_Lx25_dx100_FixN_2D.nc' ...
array(['wrf/WRF_Lx25_dx100_FixN_2D.nc', 'scale-sdm/scale-sn14_Lx25_dx100_FixN_2d.nc', 'dharma/DHARMA_Lx25_dx100_FixN_2D.nc', 'uclales-salsa/UCLALES-SALSA_Lx25_dx100_FixN_2D.nc'], dtype='<U49')
- hfss(Source, time, x, y)float64nan nan nan ... 163.0 167.1 167.6
- units :
- W m-2
- long_name :
- surface_upward_sensible_heat_flux
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[168.34091187, 166.87014771, 165.05111694, ..., 163.34275818, 167.10258484, 167.90348816], [168.37226868, 166.96440125, 165.37719727, ..., 163.53944397, 166.58428955, 167.78895569], [167.98625183, 166.64154053, 165.61997986, ..., 162.82998657, 165.89451599, 167.70800781], ..., [168.04090881, 168.31314087, 165.48675537, ..., 163.64161682, 167.75993347, 167.96714783], [168.16065979, 167.63885498, 165.19952393, ..., 163.17762756, 167.20414734, 167.46180725], [168.17356873, 167.01542664, 165.08108521, ..., 162.97612 , 167.0977478 , 167.59420776]]]]) - hfls(Source, time, x, y)float64nan nan nan ... 159.7 164.0 164.7
- units :
- W m-2
- long_name :
- surface_upward_latent_heat_flux
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[165.99021912, 164.72235107, 163.04473877, ..., 160.28735352, 164.2041626 , 165.27348328], [166.08203125, 164.90362549, 163.47207642, ..., 160.50209045, 163.71012878, 165.17799377], [165.58720398, 164.5118103 , 163.70002747, ..., 159.75579834, 162.93841553, 164.9704895 ], ..., [164.29579163, 165.02865601, 162.72950745, ..., 159.0144043 , 163.46453857, 163.89767456], [165.063797 , 164.82922363, 162.67855835, ..., 159.31881714, 163.62754822, 164.10122681], [165.55378723, 164.61073303, 162.83032227, ..., 159.68244934, 163.9914093 , 164.72653198]]]]) - ustar(Source, time, x, y)float64nan nan nan ... 0.4567 0.4594
- units :
- m s-1
- long_name :
- surface_friction_velocity
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[0.46281451, 0.45990542, 0.45615509, ..., 0.44488916, 0.45637605, 0.45995373], [0.46248516, 0.4597421 , 0.45675242, ..., 0.4450444 , 0.45441961, 0.45913646], [0.46105137, 0.45846736, 0.45726582, ..., 0.44261113, 0.45200515, 0.45852754], ..., [0.46290773, 0.46563521, 0.45845965, ..., 0.44618583, 0.45855102, 0.46050116], [0.46303046, 0.46325341, 0.45742068, ..., 0.4450438 , 0.45709798, 0.45908561], [0.46276274, 0.46087041, 0.45669964, ..., 0.44423589, 0.45669729, 0.45940235]]]]) - us(Source, time, x, y)float64nan nan nan ... 7.491 7.756 7.968
- units :
- m s-1
- long_name :
- surface_eastward_wind
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[8.11077595, 8.17448139, 8.13852024, ..., 7.49364376, 7.72561502, 7.94606543], [8.10995197, 8.19923401, 8.20976734, ..., 7.53430605, 7.68397999, 7.91830635], [8.07857513, 8.21293736, 8.28039932, ..., 7.54208088, 7.6879158 , 7.90760088], ..., [8.11476707, 8.07025528, 7.85586262, ..., 7.59049654, 7.91445494, 8.04496861], [8.15010166, 8.13285065, 7.98166895, ..., 7.5325861 , 7.81175947, 8.00601673], [8.12813663, 8.16021347, 8.08058453, ..., 7.49100685, 7.75598049, 7.96835136]]]]) - vs(Source, time, x, y)float64nan nan nan ... -6.512 -6.347
- units :
- m s-1
- long_name :
- surface_northward_wind
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ -6.25349045, -5.98243952, -5.78864861, ..., -6.30399036, -6.49547672, -6.38989067], [ -6.25288153, -5.95650196, -5.74885798, ..., -6.20882893, -6.39343548, -6.37935925], [ -6.21424627, -5.91970348, -5.72819328, ..., -6.13286448, -6.28718138, -6.33385754], ..., [ -6.16610956, -6.20954561, -6.08514452, ..., -6.26632309, -6.43849087, -6.22467518], [ -6.19411087, -6.07544994, -5.93994236, ..., -6.29593754, -6.47625685, -6.27437925], [ -6.23268461, -6.0060029 , -5.84898901, ..., -6.33343506, -6.51162434, -6.34672165]]]]) - pr(Source, time, x, y)float64nan nan nan ... 5.849e-05 5.878e-05
- units :
- kg m-2 s-1
- long_name :
- precipitation_flux_at_surface
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[5.10797181e-05, 5.27926095e-05, 5.61807174e-05, ..., 5.33643433e-05, 5.04497730e-05, 5.04198761e-05], [4.43096287e-05, 4.53559405e-05, 4.77609465e-05, ..., 4.80079252e-05, 4.45400146e-05, 4.38563438e-05], [3.88843655e-05, 3.94178605e-05, 4.08326632e-05, ..., 4.48676838e-05, 4.08035412e-05, 3.92002730e-05], ..., [8.37526604e-05, 8.77694620e-05, 9.44230560e-05, ..., 8.07979086e-05, 7.99125992e-05, 8.11123609e-05], [7.06433784e-05, 7.37326482e-05, 7.91848797e-05, ..., 6.99710872e-05, 6.83577600e-05, 6.89409426e-05], [5.97942126e-05, 6.21232903e-05, 6.65222251e-05, ..., 6.08290247e-05, 5.84902155e-05, 5.87820032e-05]]]]) - lwp(Source, time, x, y)float64nan nan nan ... 7.262e-07 9.675e-07
- units :
- kg m-2
- long_name :
- atmosphere_mass_content_of_liquid_water
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[1.10754229e-06, 1.25676650e-06, 1.49567154e-06, ..., 4.81470806e-07, 6.97304301e-07, 9.27964038e-07], [1.05106267e-06, 1.21028734e-06, 1.50546111e-06, ..., 4.60190165e-07, 6.61778586e-07, 8.79553795e-07], [9.88314468e-07, 1.15427315e-06, 1.47711478e-06, ..., 4.32984933e-07, 6.20650269e-07, 8.22885852e-07], ..., [1.26723342e-06, 1.43698014e-06, 1.58644752e-06, ..., 5.02291812e-07, 7.40638257e-07, 1.02322736e-06], [1.21711537e-06, 1.37388190e-06, 1.53634164e-06, ..., 5.09167592e-07, 7.45842499e-07, 1.00207103e-06], [1.16193291e-06, 1.31071738e-06, 1.50221649e-06, ..., 4.98376437e-07, 7.26228393e-07, 9.67535357e-07]]]]) - iwp(Source, time, x, y)float64nan nan nan ... 0.6968 0.8057
- units :
- kg m-2
- long_name :
- atmosphere_mass_content_of_ice
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[8.87429833e-01, 9.88607168e-01, 1.10556340e+00, ..., 5.90109408e-01, 6.69060171e-01, 7.73820579e-01], [8.49190593e-01, 9.48039293e-01, 1.06325340e+00, ..., 5.65161228e-01, 6.38237000e-01, 7.40230203e-01], [8.07664514e-01, 9.03099537e-01, 1.01113200e+00, ..., 5.36251426e-01, 6.03241563e-01, 7.02209353e-01], ..., [1.01223278e+00, 1.11583602e+00, 1.20110178e+00, ..., 6.37757480e-01, 7.33512282e-01, 8.70501280e-01], [9.73231375e-01, 1.07787919e+00, 1.17308378e+00, ..., 6.28973126e-01, 7.20407128e-01, 8.40834618e-01], [9.27796423e-01, 1.03332233e+00, 1.14123988e+00, ..., 6.11783922e-01, 6.96773052e-01, 8.05674791e-01]]]]) - opt(Source, time, x, y)float64nan nan nan ... 6.941 7.164 7.41
- units :
- 1
- long_name :
- atmosphere_optical_thickness
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[7.26939487e+00, 7.31314373e+00, 7.23574305e+00, ..., 6.75363731e+00, 6.90820169e+00, 7.08999538e+00], [6.90589428e+00, 6.97824335e+00, 6.95020676e+00, ..., 6.51597786e+00, 6.62082624e+00, 6.75322771e+00], [6.58142567e+00, 6.65158796e+00, 6.65631342e+00, ..., 6.22137213e+00, 6.31378937e+00, 6.44761658e+00], ..., [8.23720837e+00, 8.29416752e+00, 8.16178894e+00, ..., 7.18399382e+00, 7.52104378e+00, 7.90516949e+00], [7.95589447e+00, 7.98098946e+00, 7.82258224e+00, ..., 7.08590651e+00, 7.37790632e+00, 7.69065285e+00], [7.63265276e+00, 7.65457153e+00, 7.52065992e+00, ..., 6.94105387e+00, 7.16432953e+00, 7.41041183e+00]]]]) - alb(Source, time, x, y)float64nan nan nan ... 0.3553 0.3631
- units :
- 1
- long_name :
- pseudo-albedo
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[3.58638972e-01, 3.60020250e-01, 3.57572407e-01, ..., 3.41893345e-01, 3.47002804e-01, 3.52911741e-01], [3.46927077e-01, 3.49292159e-01, 3.48377675e-01, ..., 3.33879143e-01, 3.37438703e-01, 3.41879725e-01], [3.36105555e-01, 3.38475853e-01, 3.38634878e-01, ..., 3.23669493e-01, 3.26905787e-01, 3.31537634e-01], ..., [3.87866795e-01, 3.89504224e-01, 3.85685205e-01, ..., 3.55925292e-01, 3.66503954e-01, 3.78144234e-01], [3.79649490e-01, 3.80391479e-01, 3.75677824e-01, ..., 3.52780014e-01, 3.62054169e-01, 3.71696979e-01], [3.69930774e-01, 3.70599389e-01, 3.66492093e-01, ..., 3.48078609e-01, 3.55297178e-01, 3.63070190e-01]]]]) - olr11(Source, time, x, y)float64nan nan nan ... 100.6 11.49 7.091
- units :
- K
- long_name :
- toa_outgoing_longwave_flux_atmospheric_window
array([[[[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], ... [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]], [[ 9.07242393, 248.28645325, 276.34585571, ..., 345.91201782, 2.01626658, 7.81153154], [ 7.99970198, 126.10771942, 347.33544922, ..., 25.16807747, 43.84833527, 285.88757324], [202.73362732, 102.51305389, 103.36958313, ..., 178.74151611, 9.15808773, 54.68957901], ..., [ 8.96759129, 6.94522619, 98.0593338 , ..., 307.35879517, 202.12792969, 303.94259644], [306.39230347, 291.25592041, 7.53451014, ..., 414.26119995, 244.60096741, 280.94735718], [ 47.28567505, 34.3786087 , 7.13692522, ..., 100.64975739, 11.48644257, 7.09110069]]]]) - x_round_ph(Source, x)float64-12.8 -12.7 -12.6 ... 12.6 12.7
array([[-12.8, -12.7, -12.6, ..., 12.5, 12.6, 12.7], [-12.8, -12.7, -12.6, ..., 12.5, 12.6, 12.7], [-12.8, -12.7, -12.6, ..., 12.5, 12.6, 12.7], [-12.8, -12.7, -12.6, ..., 12.5, 12.6, 12.7]]) - y_round_ph(Source, y)float64-12.8 -12.7 -12.6 ... 12.6 12.7
array([[-12.8, -12.7, -12.6, ..., 12.5, 12.6, 12.7], [-12.8, -12.7, -12.6, ..., 12.5, 12.6, 12.7], [-12.8, -12.7, -12.6, ..., 12.5, 12.6, 12.7], [-12.8, -12.7, -12.6, ..., 12.5, 12.6, 12.7]])
- xPandasIndex
PandasIndex(Float64Index([-12800.0, -12700.0, -12600.0, -12500.0, -12400.0, -12300.0, -12200.0, -12100.0, -12000.0, -11900.0, ... 11800.0, 11900.0, 12000.0, 12100.0, 12200.0, 12300.0, 12400.0, 12500.0, 12600.0, 12700.0], dtype='float64', name='x', length=256)) - yPandasIndex
PandasIndex(Float64Index([-12800.0, -12700.0, -12600.0, -12500.0, -12400.0, -12300.0, -12200.0, -12100.0, -12000.0, -11900.0, ... 11800.0, 11900.0, 12000.0, 12100.0, 12200.0, 12300.0, 12400.0, 12500.0, 12600.0, 12700.0], dtype='float64', name='y', length=256)) - timePandasIndex
PandasIndex(DatetimeIndex(['2020-03-12 22:00:00', '2020-03-12 22:10:00', '2020-03-12 22:20:00', '2020-03-12 22:30:00', '2020-03-12 22:40:00', '2020-03-12 22:50:00', '2020-03-12 23:00:00', '2020-03-12 23:10:00', '2020-03-12 23:20:00', '2020-03-12 23:30:00', ... '2020-03-13 16:30:00', '2020-03-13 16:40:00', '2020-03-13 16:50:00', '2020-03-13 17:00:00', '2020-03-13 17:10:00', '2020-03-13 17:20:00', '2020-03-13 17:30:00', '2020-03-13 17:40:00', '2020-03-13 17:50:00', '2020-03-13 18:00:00'], dtype='datetime64[ns]', name='time', length=121, freq='10T')) - SourcePandasIndex
PandasIndex(Index(['wrf/WRF_Lx25_dx100_FixN_2D.nc', 'scale-sdm/scale-sn14_Lx25_dx100_FixN_2d.nc', 'dharma/DHARMA_Lx25_dx100_FixN_2D.nc', 'uclales-salsa/UCLALES-SALSA_Lx25_dx100_FixN_2D.nc'], dtype='object', name='Source'))
- title :
- WRF LES results for COMBLE-MIP case: fixed Nd and Ni
- reference :
- https://github.com/ARM-Development/comble-mip
- authors :
- Tim Juliano (tjuliano@ucar.edu)
- version :
- 2024-08-07 11:59:53
- format_version :
- DEPHY SCM format version 1.6
- script :
- convert_WRF_LES_output_to_dephy_format.ipynb
- startDate :
- 2020-03-12T22:00:00Z
- force_geo :
- 1
- surfaceType :
- ocean (after spin-up)
- surfaceForcing :
- ts (after spin-up)
- lat :
- 74.0 deg N
- dx :
- 100.0 m
- dy :
- 100.0 m
- dz :
- see ze variable
- nx :
- 256
- ny :
- 256
- nz :
- 159
df_col_2d['us'].plot(row='time',col_wrap=7,col='Source')
<xarray.plot.facetgrid.FacetGrid at 0x7f74e6a52410>
