diff --git a/main.py b/main.py
index 307186ca166d8907d9daf3d98fe2f384c347ae28..1133a78a76734b3c34fa45bb63381b935965cc10 100644
--- a/main.py
+++ b/main.py
@@ -1,16 +1,16 @@
import ruamel_yaml as yml
import numpy as np
-import xarray as xr
+# import xarray as xr
from glob import glob
import read_data as rd
-import scene as scn
+# import scene as scn
from tests import CloudTests
# import tests
-import ocean_day_tests as odt
-import restoral
+# import ocean_day_tests as odt
+# import restoral
# #################################################################### #
# TEST CASE
@@ -22,7 +22,7 @@ _fname_img02 = glob(f'{_datapath}/VNP02IMG.A2022173.1454.001.*.uwssec_bowtie_res
_fname_img03 = glob(f'{_datapath}/VNP03IMG.A2022173.1454.001.*.uwssec.nc')[0]
# thresholds:
-_threshold_file = '/home/pveglio/mvcm_leo/thresholds/new_thresholds.mvcm.snpp.v1.0.0.yaml'
+_threshold_file = '/home/pveglio/mvcm/thresholds.mvcm.snpp.v0.0.1.yaml'
# ancillary files:
_geos_atm_1 = 'GEOS.fpit.asm.inst3_2d_asm_Nx.GEOS5124.20220622_1200.V01.nc4'
@@ -80,6 +80,10 @@ def main(*, data_path=_datapath, mod02=_fname_mod02, mod03=_fname_mod03,
cmin_G1 = np.ones(viirs_data.M01.shape)
cmin_G2 = np.ones(viirs_data.M01.shape)
+ cmin_G3 = np.ones(viirs_data.M01.shape)
+ cmin_G4 = np.ones(viirs_data.M01.shape)
+ cmin_G5 = np.ones(viirs_data.M01.shape)
+
# cmin_test = {'Ocean_Day': np.ones(viirs_data.M01.shape),
# 'Polar_Ocean_Day': np.ones(viirs_data.M01.shape),
# 'Polar_Ocean_Night': np.ones(viirs_data.M01.shape)
@@ -95,9 +99,9 @@ def main(*, data_path=_datapath, mod02=_fname_mod02, mod03=_fname_mod03,
'CO2 High Clouds Test': False,
'Water Vapor High Clouds Test': False,
'Surface Temperature Test': False,
- 'SST Test': False,
+ 'SST Test': True,
'8.6-11um BT Difference Test': False,
- '11-12um BTD Thin Cirrus Test': True,
+ '11-12um BTD Thin Cirrus Test': False,
'11-4um BT Difference Test': False,
'7.3-11um BT Difference Mid-level Clouds': False,
'Water Vapor Cloud Test': False,
@@ -233,10 +237,17 @@ def main(*, data_path=_datapath, mod02=_fname_mod02, mod03=_fname_mod03,
# --------------------- #
if perform['1.38um High Cloud Test'] is True:
+ # for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert', 'Land_Day_Desert_Coast',
+ # 'Ocean_Day', 'Polar_Day_Land', 'Polar_Day_Coast', 'Polar_Day_Desert',
+ # 'Polar_Day_Desert_Coast', 'Polar_Ocean_Day', 'Day_Snow']:
for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert', 'Land_Day_Desert_Coast',
- 'Ocean_Day', 'Polar_Day_Land', 'Polar_Day_Coast', 'Polar_Day_Desert',
- 'Polar_Day_Desert_Coast', 'Polar_OCean_Day', 'Day_Snow']:
- pass
+ 'Polar_Day_Land', 'Polar_Day_Coast', 'Polar_Day_Desert',
+ 'Polar_Day_Desert_Coast', 'Day_Snow']:
+ # The current loop is missing Ocean_Day and Polar_Ocean_Day because they need some
+ # preprocessing to compute the thresholds. Once things are implemented I can use the commented
+ # loop
+ SceneType = CloudTests(viirs_data, scene_name, thresholds)
+ cmin_G4 = SceneType.single_threshold_test('1.38um_High_Cloud_Test', 'M09', cmin_G4)
# --------------------- #
# ### Group 5 tests ### #
@@ -246,7 +257,8 @@ def main(*, data_path=_datapath, mod02=_fname_mod02, mod03=_fname_mod03,
for scene_name in ['Land_Night', 'Polar_Night_Land', 'Polar_Night_Snow', 'Night_Snow']:
pass
- return cmin_G2
+ cmin_total = cmin_G1 * cmin_G2 * cmin_G3 * cmin_G4 * cmin_G5
+ return cmin_total
'''
Land_Day = CloudTests(viirs_data, 'Land_Day', thresholds)
diff --git a/preprocess_thresholds.py b/preprocess_thresholds.py
index af2251dd0a4dbefd5c27c803f36295788a609860..9f7bc6af06aef369174a77115e0d07dd42e67679 100644
--- a/preprocess_thresholds.py
+++ b/preprocess_thresholds.py
@@ -40,6 +40,8 @@ def preproc(data, thresholds):
midpt = thr_xr.coeffs[:, :, 0].where((thr < 0.1) | (np.abs(schi-99) < 0.0001), thr)
locut = midpt + (thr_xr.cmult * midpt)
hicut = midpt - thr_xr.adj
+ # this below is for the method 2 of computing hicut
+ # hicut = midpt - (thr_xr.adj * midpt)
thr_out = xr.DataArray(data=np.dstack((locut, midpt, hicut, np.ones(locut.shape), np.ones(locut.shape))),
dims=('number_of_lines', 'number_of_pixels', 'z'))
@@ -47,7 +49,22 @@ def preproc(data, thresholds):
# return locut, hicut, midpt
-# NOTE: About the 11-12um Cirrus Test
+def preproc_sst(data, thresholds):
+ m31c = data.M15 - 273.16
+ m32c = data.M16 - 273.16
+ m31c_m32c = m31c - m32c
+ sstc = data.geos_sfct - 273.16
+ cosvza = np.cos(data.sensor_zenith*_dtr)
+
+ a = thresholds['coeffs']
+
+ modsst = 273.16 + a[0] + a[1]*m31c + a[2]*m31c_m32c*sstc + a[3]*m31c_m32c*((1/cosvza) - 1)
+ sfcdif = data.geos_sfct - modsst
+
+ return sfcdif
+
+
+# NOTE: 11-12um Cirrus Test
# hicut is computed in different ways depending on the scene
# 1. midpt - adj
# - Land_Day
@@ -72,3 +89,23 @@ def preproc(data, thresholds):
# - Polar_Night_Snow
# - Day_Snow
# - Night_Snow
+
+# NOTE: 1.38um High Cloud Test
+# thresholds are not always computed the same way. In group 1 there's no preprocessing required,
+# in group 2 some calcuations are needed
+# 1.
+# - Land_Day
+# - Land_Day_Coast
+# - Land_Day_Desert
+# - Land_Day_Desert_Coast
+# - Polar_Day_Land
+# - Polar_Day_Coast
+# - Polar_Day_Desert
+# - Polar_Day_Desert_Coast
+# - Polar_Day_Snow
+# - Day_Snow
+#
+# 2.
+# - Ocean_Day
+# - Polar_Ocean_Day
+
diff --git a/tests.py b/tests.py
index fecbe3d4500d3fbd4591f03ab7ed4b2557aeccbb..d2c1f4ea630f60e17ddd12cfa68dbc0f09f54968 100644
--- a/tests.py
+++ b/tests.py
@@ -255,19 +255,28 @@ class CloudTests:
return cmin
print(f'Running test "{test_name}" for "{self.scene_name}"')
# preproc_thresholds()
- thr = np.array(self.thresholds[self.scene_name][test_name])
+ thr = np.array(self.thresholds[self.scene_name][test_name]['thr'])
thr_xr = xr.Dataset()
if test_name == '11-12um_Cirrus_Test':
thr_xr['threshold'] = pt.preproc(self.data, self.thresholds[self.scene_name])
thr = np.ones((5,)) # This is only temporary to force the logic of the code
# I need to find a better solution at some point
+
+ elif test_name == 'SST_Test':
+ thr_xr['threshold'] = (('number_of_lines', 'number_of_pixels', 'z'),
+ np.ones((self.data[band].shape[0], self.data[band].shape[1], 5))*thr)
else:
thr_xr['threshold'] = (('number_of_lines', 'number_of_pixels', 'z'),
np.ones((self.data[band].shape[0], self.data[band].shape[1], 5))*thr)
data = xr.Dataset(self.data, coords=thr_xr)
+ if test_name == 'SST_Test':
+ data['sfcdif'] = (('number_of_lines', 'number_of_pixels'),
+ pt.preproc_sst(data, self.thresholds[self.scene_name][test_name]).values)
+ band = 'sfcdif'
+
if thr[4] == 1:
- print('test running')
+ print('test running...')
confidence = conf_xr.conf_test(data, band)
cmin = np.fmin(cmin, confidence)
diff --git a/thresholds.mvcm.snpp.v0.0.1.yaml b/thresholds.mvcm.snpp.v0.0.1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9fd834a3e317f2745e9b433c85b5c60795380f92
--- /dev/null
+++ b/thresholds.mvcm.snpp.v0.0.1.yaml
@@ -0,0 +1,471 @@
+# MODIS-VIIRS Continuity Cloud Mask (MVCCM) Thresholds
+
+# Version string
+thresholds_file_ver: v3.3.1_NPP
+
+Land_Day:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: 0.3
+ adj: 1.25
+ dl_ref3_tpw : -10.00
+ test11_4lo : [-16.0, -14.0, -12.0, 1.0, 1.0]
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ vis_refl_test : [0.207, 0.169, 0.132, 1.0, 1.0] # used to be dlref1
+ 1.38um_High_Cloud_Test: [0.0375, 0.0250, 0.0125, 1.0, 1.0]
+ dlvrat : [1.80, 1.85, 1.90, 1.0, 1.0]
+# dl11_12lcmult : 0.3
+# dl11_12hcadj : 1.25
+ b1bias_adj : 0.94
+
+Land_Night:
+ nl4_12hi : [15.0, 10.0, 5.00, 1.0, 1.0]
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ nl7_11s : [-8.0, -10.0, -11.0, 1.0, 1.0]
+ nl_11_4l : [0.0, -0.5, -1.0, 1.0]
+ nl_11_4h : [6.5, 6.0, 5.5, 1.0]
+ nl_11_4m : [-0.5, 6.0, 0.5, 1.0]
+ nl_11_4_pfm : 1.0
+ Surface_Temperature_Test_df1: [-0.2, 1.0]
+ Surface_Temperature_Test_df2: [-0.5, 1.0]
+ Surface_Temperature_Test_difference: [-0.2, 1.0, -0.5, 1.0] # <- this merges the previous two arrays
+ bt_diff_bounds : [1.0, -1.0]
+ 11-12um_Cirrus_Test: [3.0, 1.0]
+ Surface_Temperature_Test_1: 20.0 # | might be worth figuring out if we can
+ Surface_Temperature_Test_2: 12.0 # | merge these three coefficients
+ Surface_Temperature_Test_pfm: 1.0 # __|
+ Surface_Temperature_Test: [20.0, 12.0, 1.0] # <- First attempt to merge the three values above
+ nlbt1 : 270.0
+ nl_lat : 30.0
+ nl_ndvi : 0.25
+ nl_ndvi_Aust : 0.40
+ nl_intadj : 0.0
+ nl_btd1 : -2.0
+ nl11_4coef : [-0.3476, 0.5307, -0.1930]
+
+Land_Day_Coast:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: 0.3
+ adj: 1.25
+ dl_ref3_tpw_t2 : -10.00
+ test11_4lo : [-16.0, -14.0, -12.0, 1.0, 1.0]
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ dlref1_t2 : [0.207, 0.169, 0.132, 1.0, 1.0]
+ 1.38um_High_Cloud_Test: [0.0375, 0.0250, 0.0125, 1.0, 1.0]
+# dl11_12lcmult_t2 : 0.3
+# dl11_12hcadj_t2 : 1.25
+
+Land_Day_Desert:
+# lds11_12hi : [3.5, 1.0]
+ 11-12um_Cirrus_Test:
+ coeffs: [3.5, 1.0]
+ cmult: 0.3
+ adj: 1.25
+ lds11_4hi : [2.0, 0.0, -2.0, 1.00, 1.0]
+ lds11_4lo : [-28.0, -26.0, -24.0, 1.00]
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ ldsref2 : [0.326, 0.288, 0.250, 1.00, 1.0]
+ 1.38um_High_Cloud_Test: [0.0375, 0.0250, 0.0125, 1.00, 1.0]
+ ldsgemi0 : [0.085, 0.095, 0.115, 1.00, 1.0]
+ ldsgemi1 : [0.145, 0.170, 0.220, 1.00]
+ ldsgemi2 : [0.310, 0.335, 0.360, 1.00]
+ lds_ref3_tpw : -10.00
+ ldsbt1 : 320.0
+ lds_ndvi : 0.25
+# lds11_12lcmult : 0.3
+# lds11_12hcadj : 1.25
+
+Land_Day_Desert_Coast:
+# lds11_12hi_c : [3.5, 1.0]
+ 11-12um_Cirrus_Test:
+ coeffs: [3.5, 1.0]
+ cmult: 0.3
+ adj: 1.25
+ lds11_4hi_c : [2.00, 0.00, -2.00, 1.00]
+ lds11_4lo_c : [-23.0, -21.0, -19.0, 1.00, 1.0]
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ ldsref2_c : [0.326, 0.288, 0.250, 1.00, 1.0]
+ 1.38um_High_Cloud_Test: [0.0375, 0.0250, 0.0125, 1.00, 1.0]
+ lds_ref3_tpw_c : -10.00
+ ldsbt1_c : 320.0
+ lds_ndvi_c : 0.25
+# lds11_12lcmult_c : 0.3
+# lds11_12hcadj_c : 1.25
+
+Ocean_Day:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: 0.3
+ adj: 1.25
+ test11_4lo : [-11.0, -9.0, -7.0, 1.0, 1.0]
+ 11um_Test: [267.0, 270.0, 273.0, 1.0, 1.0]
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ do_b7coeffs : [1.01339303876915, -0.00277128813739, 0.00027804834484, -0.00001549681141, 0.00000016623006, 0.00000000000000]
+ do_b7adj : 0.0125
+ do_b7mid : 0.0070
+ do_b7lo : 0.0100
+ do_b7pfm : 1.0
+ ref2 : [0.062, 0.043, 0.029, 1.0, 1.0]
+ # vnir_ratio_hi : [1.001, 1.154, 1.205, 1.0, 1.0]
+ # vnir_ratio_lo : [0.934, 0.889, 0.837, 1.0]
+ vis_nir_ratio : [0.837, 0.889, 0.934, 1.001, 1.154, 1.205, 1.0, 1.0] # This replace dovrathi and dovratlo
+ # The values are sorted left to right
+ # so that they follow the scheme:
+ # Hi-Mid-Lo--Lo-Mid-Hi
+ # Last two values are power and switch
+ # to turn the test on/off
+ 8.6-11um_Test: [-0.50, -1.00, -1.50, 1.0, 1.0]
+ SST_Test:
+ thr: [3.000, 2.500, 2.000, 1.0, 1.0]
+ coeffs: [1.886, 0.938, 0.128, 1.094]
+ b2coeffs : [1.7291, 0.0715, -0.0026, 0.000025889]
+ b2adj : 0.0050
+ b2mid : 0.0200
+ b2lo : 0.0100
+ do_b26coeffs : [-0.2419, 0.0455, -0.0024, 0.000059029, -0.00000069964, 0.000000003204]
+ do_b26adj : 0.0010
+ do_b26_szafac : 4.0
+ do_b26pfm : 1.0
+ b2bias_adj : 0.96
+ do_b6bias_adj : 0.98
+ do_b7bias_adj : 0.97
+
+Ocean_Night:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: 0.3
+ adj: 1.0
+ no_intadj : 0.0
+ no11_4lo : [1.25, 1.00, 0.25, 1.0, 1.0]
+ 11um_Test: [267.0, 270.0, 273.0, 2.0, 1.0]
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ no86_73 : [14.0, 15.0, 16.0, 1.0, 1.0]
+ 11um_var : [3.0, 6.0, 7.0, 1.0, 1.0]
+ 8.6-11um_Test: [-0.5, -1.0, -1.5, 1.0, 1.0]
+ SST_Test:
+ thr: [3.000, 2.500, 2.000, 1.0, 1.0]
+ coeffs: [1.8860, 0.9380, 0.1280, 1.094]
+ no11_4coef : [-0.7093, 0.1128, -0.1567]
+ no11_4hiad : [-1.5, 1.5]
+ no11_4mdad : [-2.5, 2.5]
+ no11_4load : [-4.0, 4.0]
+ no11_4_pfm : 1.0
+
+Polar_Day_Land:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: 0.3
+ adj: 0.3
+ pdl_ref3_tpw : -10.00
+ test11_4lo : [-16.0, -14.0, -12.0, 1.0, 1.0]
+ pdlh20 : [215.0, 220.0, 225.0, 1.0, 1.0]
+ pdlref1 : [0.207, 0.169, 0.132, 1.0, 1.0]
+ 1.38um_High_Cloud_Test: [0.0375, 0.0250, 0.0125, 1.0, 1.0]
+
+Polar_Night_Land:
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: [] # I NEED TO WORK ON THIS
+ adj: [] # I NEED TO WORK ON THIS
+ pnlbt1 : 270.0
+ pnlbt2 : 270.0
+ Surface_Temperature_Test_pfm: 1.0
+ pnl_11_4_pfm : 1.0
+ pnl_7_11_pfm : 1.0
+ pnl_4_12_pfm : 1.0
+ pnl_11_4l : [2.00, 1.70, 1.40, 1.0]
+ pnl_11_4h : [1.00, 0.70, 0.40, 1.0]
+ pnl_11_4m1 : [1.70, 0.70, 0.300, 1.0]
+ pnl_11_4m2 : [0.00, 0.00, 0.00, 0.0]
+ pnl_11_4m3 : [0.00, 0.00, 0.00, 0.0]
+ pnl_11_bounds : [235.0, 000.0, 000.0, 265.0]
+
+Polar_Day_Coast:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: [] # I NEED TO WORK ON THIS
+ adj: [] # I NEED TO WORK ON THIS
+ pdl_ref3_tpw_t2 : -10.00
+ test11_4lo : [-16.0, -14.0, -12.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ pdlref1_t2 : [0.207, 0.169, 0.132, 1.0, 1.0]
+ 1.38um_High_Cloud_Test: [0.0375, 0.0250, 0.0125, 1.0, 1.0]
+
+Polar_Day_Desert:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.5, 1.0]
+ cmult: [] # I NEED TO WORK ON THIS
+ adj: [] # I NEED TO WORK ON THIS
+ pds11_4hi : [2.00, 0.00, -2.00, 1.00]
+ pds11_4lo : [-22.0, -20.0, -18.0, 1.00]
+ pds11_4_pfm : 1.0
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ pdsref2 : [0.326, 0.288, 0.250, 1.00, 1.0]
+ 1.38um_High_Cloud_Test: [0.0375, 0.0250, 0.0125, 1.00, 1.0]
+ pdsgemi0 : [0.085, 0.110, 0.135, 1.00, 1.0]
+ pdsgemi1 : [0.170, 0.220, 0.270, 1.00]
+ pdsgemi2 : [0.310, 0.335, 0.360, 1.00]
+ pds_ref3_tpw : -10.00
+ pdsbt1 : 320.0
+
+Polar_Day_Desert_Coast:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.5, 1.0]
+ cmult: [] # I NEED TO WORK ON THIS
+ adj: [] # I NEED TO WORK ON THIS
+ pds11_4hi_c : [2.00, 0.00, -2.00, 1.00]
+ pds11_4lo_c : [-23.0, -21.0, -19.0, 1.00]
+ pds11_4_c_pfm : 1.0
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ pdsref2_c : [0.326, 0.288, 0.250, 1.00, 1.0]
+ 1.38um_High_Cloud_Test: [0.0375, 0.0250, 0.0125, 1.00, 1.0]
+ pds_ref3_tpw_c : -10.00
+ pdsbt1_c : 320.0
+
+Polar_Day_Snow:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: [] # I NEED TO WORK ON THIS
+ adj: [] # I NEED TO WORK ON THIS
+ dps_ref3_tpw : 0.75
+ dpsbt1 : 230.0
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ 1.38um_High_Cloud_Test: [0.060, 0.0525, 0.045, 1.0, 1.0]
+ dps11_12adj : 0.8
+ dps4_11l : [20.0, 18.0, 16.0, 1.0]
+ dps4_11h : [18.0, 16.0, 14.0, 1.0]
+ dps4_11m1 : [18.0, 16.0, 2.0, 1.0]
+ dps4_11m2 : [0.0, 0.0, 0.0, 0.0]
+ dps4_11m3 : [0.0, 0.0, 0.0, 0.0]
+ dps4_11_pfm : 1.0
+ bt_11_bnds3 : [230.0, 0.0, 0.0, 245.0]
+
+Polar_Night_Snow:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: [] # I NEED TO WORK ON THIS
+ adj: [] # I NEED TO WORK ON THIS
+ pn_4_12l : [4.50, 4.00, 3.50, 1.0]
+ pn_4_12h : [2.50, 2.00, 1.50, 1.0]
+ pn_4_12m1 : [4.00, 2.00, 0.500, 1.0]
+ pn_4_12m2 : [0.00, 0.00, 0.00, 0.0]
+ pn_4_12m3 : [0.00, 0.00, 0.00, 0.0]
+ pns_4_12_pfm : 1.0
+ pn_7_11l : [-1.00, 0.00, 1.00, 1.0, 1.0]
+ pn_7_11h : [-21.0, -20.0, -19.0,1.0]
+ pn_7_11m1 : [0.00, -4.50, -1.00, 1.0]
+ pn_7_11m2 : [-4.50, -10.50, -1.00, 1.0]
+ pn_7_11m3 : [-10.50, -20.0, -1.00, 1.0]
+ pn_7_11lw : [0.00, 1.00, 2.00, 1.0]
+ pn_7_11hw : [-21.0 -20.0, -19.0, 1.0]
+ pn_7_11m1w : [1.00, -7.00, -1.00, 1.0]
+ pn_7_11m2w : [-7.00, -16.50, -1.00, 1.0]
+ pn_7_11m3w : [-16.50, -20.0, -1.00, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ pn_11_4l : [2.00, 1.70, 1.40, 1.0]
+ pn_11_4h : [0.60, 0.30, 0.00, 1.0]
+ pn_11_4m1 : [1.70, 0.30, 0.300, 1.0]
+ pn_11_4m2 : [0.00, 0.00, 0.00, 0.0]
+ pn_11_4m3 : [0.00, 0.00, 0.00, 0.0]
+ pns_11_4_pfm : 1.0
+ bt_11_bounds : [235.0, 000.0, 000.0, 265.0]
+ bt_11_bnds2 : [220.0, 245.0, 255.0, 265.0]
+ pn_11_4bl : [-3.00, -2.50, -2.00, 1.0]
+ pn_11_4bh : [-3.00, -2.50, -2.00, 1.0]
+ pn_11_4bm1 : [-2.50, -2.50, -0.50, 1.0]
+ pn_11_4bm2 : [0.00, 0.00, 0.00, 0.0]
+ pn_11_4bm3 : [0.00, 0.00, 0.00, 0.0]
+ pn11_12adj : 0.8
+ pnbt1 : 270.0
+ pnbt2 : 270.0
+ pnbt3 : 230.0
+ pntpw : 0.2
+
+Polar_Ocean_Day:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: 0.3
+ adj: 1.25
+ pdo11_4lo : [-11.0, -9.0, -7.0, 1.0, 1.0]
+ 11um_Test: [267.0, 270.0, 273.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ pdovrathi : [1.001, 1.154, 1.205, 1.0, 1.0]
+ pdovratlo : [0.934, 0.889, 0.837, 1.0]
+ 8.6-11um_Test: [-0.50, -1.00, -1.50, 1.0, 1.0]
+ SST_Test:
+ thr: [3.000, 2.500, 2.000, 1.0, 1.0]
+ coeffs: [1.998, 0.938, 0.128, 1.094]
+ pdo_b7pfm : 1.0
+ pdo_b26pfm : 1.0
+ pdo_b2bias_adj : 0.96
+ pdo_b6bias_adj : 0.98
+ pdo_b7bias_adj : 0.97
+
+Polar_Ocean_Night:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: 0.3
+ adj: 1.0
+ pnobt1 : 280.0
+ pno_intadj : 0.0
+ pno11_4lo : [1.25, 1.00, 0.25, 1.0, 1.0]
+ pno_11_4_pfm : 1.0
+ 11um_Test: [267.0, 270.0, 273.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ pno86_73 : [14.0, 15.0, 16.0, 1.0, 1.0]
+ pno_11var : [3.0, 6.0, 7.0, 1.0, 1.0]
+ 8.6-11um_Test: [-0.5, -1.0, -1.5, 1.0, 1.0]
+ SST_Test:
+ thr: [3.000, 2.500, 2.000, 1.0, 1.0]
+ coeffs: [1.8860, 0.9380, 0.1280, 1.094]
+ pno11_4hiad : [-1.5, 1.5]
+ pno11_4mdad : [-2.5, 2.5]
+ pno11_4load : [-4.0, 4.0]
+ pno11_4coef : [-0.7093, 0.1128, -0.1567]
+
+Day_Snow:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: [] # I NEED TO WORK ON THIS
+ adj: [] # I NEED TO WORK ON THIS
+ ds_ref3_tpw : 0.75
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ 1.38um_High_Cloud_Test: [0.060, 0.0525, 0.045, 1.0, 1.0]
+ ds11_12adj : 0.8
+ ds11_12lcmult : 0.3
+ ds11_12hcmult : 0.3
+ ds4_11_pfm : 1.0
+
+Night_Snow:
+ 11-12um_Cirrus_Test:
+ coeffs: [3.0, 1.0]
+ cmult: [] # I NEED TO WORK ON THIS
+ adj: [] # I NEED TO WORK ON THIS
+ nsbt1 : 270.0
+ nsbt2 : 270.0
+ nsbt3 : 230.0
+ ns11_4lo : [0.70, 0.60, 0.50, 1.0, 1.0]
+ ns4_12hi : [4.50, 4.00, 3.50, 1.0, 1.0]
+ CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ ns11_12adj : 0.8
+ nstpw : 0.2
+ ns_7_11_pfm : 1.0
+
+Antarctic_Day:
+ Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
+ ant4_11l : [26.0 23.0, 20.0, 1.0]
+ ant4_11h : [18.0, 15.0, 12.0, 1.0]
+ ant4_11m1 : [23.0, 15.0, 3.0 1.0]
+ ant4_11m2 : [0.0, 0.0, 0.0, 0.0]
+ ant4_11m3 : [0.0, 0.0, 0.0, 0.0]
+ bt_11_bnds4 : [240.0, 0.0, 0.0, 255.0]
+ antbt1 : 230.0
+ ant4_11_pfm : 1.0
+
+Daytime_Ocean_Spatial_Variability:
+ dovar11 : 0.40
+ dovar86 : 0.0020
+
+Sun_Glint:
+ # snglntv : [1.02, 1.17]
+ # snglntvch : [0.97, 1.28]
+ # snglntvcl : [1.07, 1.12]
+ snglnt : [0.97, 1.02, 1.07, 1.12, 1.17, 1.28] # This replaces snglntv, snglntvch snglntvcl
+ # The values are sorted left to right such that
+ # Hi-Mid-Lo--Lo-Mid-Hi
+ sg_tbdfl : 13.0
+ sngm09 : 0.568
+ sngm02vm : 0.001
+ band2_0deg : [.1296, .1152, .1008, 1.0] # snglnt0_b2
+ band2_10deg : [.1152, .0624, .0144, 1.0] # snglnt10_b2
+ band2_20deg : [.0624, .0432, .0144, 1.0] # snglnt20_b2
+ band7_0deg : [.1176, .1078, .0980, 1.0] # snglnt0_b7
+ band7_10deg : [.1078, .0686, .0098, 1.0] # snglnt10_b7
+ band7_20deg : [.0686, .0196, .0098, 1.0] # snglnt20_b7
+ bounds : [0.0, 10.0, 25.0, 40.0] # snglnt_bounds
+
+Land_Restoral:
+ ldsr5_4_thr : 1.96
+ ldr5_4_thr : 2.94
+ ld20m22 : 11.0
+ ld22m31 : 15.0
+ ldsbt11 : [295.0, 300.0, 305.0]
+ ldsbt11bd : [290.0, 295.0, 305.0]
+ lnbt11 : [287.5, 292.5, 297.5]
+
+Night_Snow_Inversion:
+ pn65_11 : [10.0, 1.0]
+ pn13_11 : [3.0, 1.0]
+ pn7_11 : [5.0, 1.0]
+ n65_11 : [10.0, 1.0]
+
+Snow_Mask:
+ sm_bt11 : 280.0
+ sm_ndsi : 0.31
+ Grnlnd_ndsi : 0.66
+ sm_ref2 : 0.1056
+ sm85_11 : 0.0
+ sm85_11hel : 1.5
+ sm37_11 : 11.0
+ sm37_11hel : 16.0
+ sm_mnir : 0.196
+ sm_lsfcdif : 20.0
+ sm_wsfcdif : 20.0
+ sm_bt1 : 273.0
+ prd_ndvi_const : -0.2015
+
+Coastal_NDVI_Thresholds:
+ coast_ndvi : [-0.18, 0.40]
+
+# Ocean NDVI and shallow (turbid) water test thresholds.
+Ocean_NDVI_and_Shallow_Water:
+ swc_ndvi : [-0.35, 0.40]
+ swc_124std : 0.0023
+
+Thin_Cirrus_Tests:
+ tci_ref3_tpw : 0.75
+ dltci : [0.0250, 0.0125]
+ dstci : [0.0350, 0.0300]
+
+# Power cosine(VZA) is raised to in VZA-correction codes
+VZA_correction:
+ vzcpow : [0.75, 0.75, 0.25]
+
+# Thresholds used in calculating 0.66 and 0.413 um cloud test thresholds
+Misc:
+ des_ndvi : 0.25
+ fill_ndvi : [32.000, 0.00] # replaces fill_ndvi1 and fill_ndvi2
+ ndvi_bnd1 : 0.05
+ ndvi_bnd2 : 0.95
+ adj_fac_desert : 0.10
+ adj_fac_land : 0.00
+
+# Coefficients for band 1 land thresholds
+Coeffs_Band1_land_thresh:
+ - [32.00000000, 0.00000000, 0.00000000, 0.00000000, 42.00000000, 0.00000000, 0.00000000, 0.00000000, 52.00000000, 0.00000000, 0.00000000, 0.00000000]
+ - [24.00000000, 0.00000000, 0.00000000, 0.00000000, 28.00000000, 0.00000000, 0.00000000, 0.00000000, 32.00000000, 0.00000000, 0.00000000, 0.00000000]
+ - [99.13076923, -2.00907925, 0.01492075, -0.00003531, 122.19090909, -2.32652292, 0.01659848, -0.00003681, 142.66293706, -2.57860528, 0.01773252, -0.00003685]
+ - [85.07902098, -1.59413364, 0.01123310, -0.00002556, 144.56573427, -2.81054779, 0.01967366, -0.00004324, 204.35454545, -4.03411810, 0.02816667, -0.00006103]
+ - [85.03846154, -1.50831391, 0.01006760, -0.00002199, 165.15314685, -3.24716783, 0.02255594, -0.00004965, 242.06363636, -4.90912587, 0.03445455, -0.00007587]
+ - [81.00979021, -1.37731935, 0.00881294, -0.00001859, 220.36783217, -4.44111888, 0.03087762, -0.00006888, 359.72587413, -7.50491841, 0.05294231, -0.00011917]
+ - [76.94055944, -1.35441725, 0.00896096, -0.00001952, 172.36783217, -3.33144911, 0.02242308, -0.00004810, 267.90909091, -5.31620047, 0.03597727, -0.00007698]
+ - [85.83006993, -1.55480575, 0.01025932, -0.00002216, 160.73706294, -3.07291375, 0.02041900, -0.00004330, 237.37622378, -4.63444833, 0.03091317, -0.00006525]
+ - [105.02447552, -1.98017094, 0.01319522, -0.00002877, 135.50699301, -2.59097902, 0.01749301, -0.00003811, 165.33006993, -3.18872183, 0.02171387, -0.00004734]
+ - [105.02447552, -1.98017094, 0.01319522, -0.00002877, 135.50699301, -2.59097902, 0.01749301, -0.00003811, 165.33006993, -3.18872183, 0.02171387, -0.00004734]
+
+# Coefficients for band 8 land thresholds
+Coeffs_Band8_land_thresh:
+ - [282.74916084, -5.42869658, 0.03660781, -0.00008092, 344.87048951, -6.80660839, 0.04770163, -0.00010991, 407.83734266, -8.20392385, 0.05894114, -0.00013926]
+ - [229.50727273, -4.31606061, 0.02868182, -0.00006212, 316.38517483, -6.41910256, 0.04603089, -0.00010787, 403.78188811, -8.52743395, 0.06335781, -0.00015340]
+ - [239.32391608, -4.49928127, 0.02977214, -0.00006436, 270.31741259, -5.33625680, 0.03757168, -0.00008609, 301.76013986, -6.18557498, 0.04546562, -0.00010806]