esbo_ds/BASTET
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bug fixes

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This commit is contained in:
Marcel Christian Frommelt 2021-06-19 15:08:08 +09:00
parent 0f83bc3345
commit 65d80b00ee
3 changed files with 7 additions and 7 deletions
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6
input/user_input.py
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@ -22,9 +22,9 @@ drag_model = 'Palumbo' # 'PalumboLow' # 'PalumboHigh' # 'Sphere_Re'
#ERA5_float = ['ERA5/float1.nc', 'ERA5/float2.nc'] # list of all ERA5 atmospheric data for FLOAT
#ERA5_single = ['ERA5/radiation1.nc', 'ERA5/radiation2.nc'] # list of all ERA5 RADIATION data
ERA5_ascent = 'ERA5/ASCENT_McMurdo_2019_12.nc' # list of all ERA5 atmospheric data for ASCENT
ERA5_float = 'ERA5/FLOAT_McMurdo_2019_12to2020_1.nc' # list of all ERA5 atmospheric data for FLOAT
ERA5_single = 'ERA5/SINGLE_McMurdo_2019_12to2020_1.nc' # list of all ERA5 RADIATION data
ERA5_ascent = ['ERA5/ASCENT_McMurdo_2019_12.nc'] # list of all ERA5 atmospheric data for ASCENT
ERA5_float = ['ERA5/FLOAT_McMurdo_2019_12to2020_1.nc'] # list of all ERA5 atmospheric data for FLOAT
ERA5_single = ['ERA5/SINGLE_McMurdo_2019_12to2020_1.nc'] # list of all ERA5 RADIATION data
# BALLOON DATA STUDIO

2
main.py
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@ -210,7 +210,7 @@ def ERA5Data(lon, lat, h, t, deltaT_ERA, flag_arr):
interp4d_vw_z_post = np.ma.dot(w1, vw_z_float[t_post_ind, :, lat_ind1, lon_ind1]) / np.sum(w1)
interp4d_vw_z = (interp4d_vw_z_post - interp4d_vw_z_pre) * (t_epoch - t_pre) + interp4d_vw_z_pre
pressure_hPa = np.array([1, 2, 3, 5, 7, 10, 20, 30]) # !!!
pressure_hPa = np.array([1, 2, 3, 5, 7, 10, 20]) # !!!
pressure = 100 * pressure_hPa

6
main_LOW_RAM.py
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@ -63,7 +63,7 @@ print("Launch time: " + str(start_utc) + " (UTC)")
print("")
print("Reading ERA5-datasets, please wait.")
float_data = Dataset(ERA5_float, "r", format="NETCDF4")
float_data = Dataset(ERA5_float[0], "r", format="NETCDF4")
# ERA5 MULTI-LEVEL FLOAT (WIND + ATMOSPHERIC DATA DURING FLOAT)
@ -77,7 +77,7 @@ vw_x_float = da.from_array(float_data.variables['u']) # v_x in [m/s]
vw_y_float = da.from_array(float_data.variables['v']) # v_y in [m/s]
vw_z_float = da.from_array(float_data.variables['w']) # v_z in [m/s]
single_data = Dataset(ERA5_single, "r", format="NETCDF4")
single_data = Dataset(ERA5_single[0], "r", format="NETCDF4")
# ERA5 SINGLE-LEVEL (RADIATIVE ENVIRONMENT)
@ -102,7 +102,7 @@ ERAsp = single_data.variables['sp'][:] # surface pressure in [Pa]
single_data.close()
ascent_data = Dataset(ERA5_ascent, "r", format="NETCDF4")
ascent_data = Dataset(ERA5_ascent[0], "r", format="NETCDF4")
# ERA5 MULTI-LEVEL ASCENT (WIND + ATMOSPHERIC DATA DURING ASCENT)