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GRIB 2 output #44

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118 changes: 62 additions & 56 deletions neural_lam/data_config.yaml
Original file line number Diff line number Diff line change
@@ -1,64 +1,70 @@
dataset:
name: meps_example
name: cosmo

# Value definitions
var_names:
- pres_0g
- pres_0s
- nlwrs_0
- nswrs_0
- r_2
- r_65
- t_2
- t_65
- t_500
- t_850
- u_65
- u_850
- v_65
- v_850
- wvint_0
- z_1000
- z_500
- "T"
- "U"
- "V"
- "RELHUM"
- "PMSL"
- "PP"
var_units:
- Pa
- Pa
- r"$\mathrm{W}/\mathrm{m}^2$"
- r"$\mathrm{W}/\mathrm{m}^2$"
- ""
- ""
- K
- K
- K
- K
- m/s
- m/s
- m/s
- m/s
- r"$\mathrm{kg}/\mathrm{m}^2$"
- r"$\mathrm{m}^2/\mathrm{s}^2$"
- r"$\mathrm{m}^2/\mathrm{s}^2$"
- Perc.
- Pa
- hPa
var_longnames:
- pres_heightAboveGround_0_instant
- pres_heightAboveSea_0_instant
- nlwrs_heightAboveGround_0_accum
- nswrs_heightAboveGround_0_accum
- r_heightAboveGround_2_instant
- r_hybrid_65_instant
- t_heightAboveGround_2_instant
- t_hybrid_65_instant
- t_isobaricInhPa_500_instant
- t_isobaricInhPa_850_instant
- u_hybrid_65_instant
- u_isobaricInhPa_850_instant
- v_hybrid_65_instant
- v_isobaricInhPa_850_instant
- wvint_entireAtmosphere_0_instant
- z_isobaricInhPa_1000_instant
- z_isobaricInhPa_500_instant
- "Temperature"
- "Zonal wind component"
- "Meridional wind component"
- "Relative humidity"
- "Pressure at Mean Sea Level"
- "Pressure Perturbation"
var_is_3d:
- 1
- 1
- 1
- 1
- 0
- 1
grib_names:
PP: "pres"
QV: "q"
RELHUM: "r"
T: "t"
U: "u"
V: "v"
W: "wz"
CLCT: "ccl"
PMSL: "prmsl"
PS: "sp"
T_2M: "2t"
TOT_PREC: "tp"
U_10M: "10u"
V_10M: "10v"
vertical_levels: [1, 5, 13, 22, 38, 41, 60]
num_forcing_features: 16
grid_shape_state: [268, 238]
projection:
class: LambertConformal
kwargs:
central_longitude: 15.0
central_latitude: 63.3
standard_parallels: [63.3, 63.3]

# Plotting
eval_plot_vars: ["TQV"]
grid_shape_state: [390, 582]
projection:
class: LambertConformal
kwargs:
central_longitude: 15.0
central_latitude: 63.3
standard_parallels: [63.3, 63.3]
sample_grib:
"templates/lfff02180000"
sample_z_grib:
"templates/lfff02180000z"
eval_datetime:
["2020100215"]

# Time step prediction during training / prediction (eval)
train_horizon: 3
eval_horizon: 25

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