cl.bed_parms = ['XA', 'YA', 'ZA', 'A', 'XR', 'YR', 'ZR', 'ROT_RATE', 'ROT_COUNT', 'P', 'P_ADJUSTED',
'P_RATE', 'P_SPLINE', 'P_SPLINE_RATE', 'ROT_DIST', 'IMPLIED_VELOCITY', 'BED_DEPTH',
'DIST_TOPO', 'TUMBLE_RATE', 'TUMBLE_COUNT', 'TUMBLE_DIST', 'ROT_PLUS_TUMBLE_DIST']
cl.bed_files = [
'20130601/BED1/netcdf/BED01_1_June_2013.nc',
'20140218/BED3/netcdf/30100046_trajectory.nc',
'20140218/BED3/netcdf/30100048.nc',
'20140218/BED3/netcdf/30100049_trajectory.nc',
'20140330/BED3/netcdf/30100518_trajectory.nc',
]
cl.bed_platforms = [
'BED01',
'BED03',
'BED03',
'BED03',
'BED03',
]
cl.bed_depths = [
303,
295,
388,
388,
331,
]
cl.bed_framegrabs = [
'http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2013/vnta3702/01_27_35_21.html',
'',
'',
cl.bed_parms = ['XA', 'YA', 'ZA', 'A', 'XR', 'YR', 'ZR', 'ROT_RATE', 'ROT_COUNT', 'P', 'P_ADJUSTED',
'P_RATE', 'P_SPLINE', 'P_SPLINE_RATE', 'ROT_DIST', 'IMPLIED_VELOCITY', 'BED_DEPTH',
'DIST_TOPO', 'TUMBLE_RATE', 'TUMBLE_COUNT', 'TUMBLE_DIST', 'ROT_PLUS_TUMBLE_DIST']
cl.bed_files = [
'20130601/BED1/netcdf/BED01_1_June_2013.nc',
'20140218/BED3/netcdf/30100046_trajectory.nc',
'20140218/BED3/netcdf/30100048.nc',
'20140218/BED3/netcdf/30100049_trajectory.nc',
'20140330/BED3/netcdf/30100518_trajectory.nc',
]
cl.bed_platforms = [
'BED01',
'BED03',
'BED03',
'BED03',
'BED03',
]
cl.bed_depths = [
303,
295,
388,
388,
331,
]
cl.bed_framegrabs = [
'http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2013/vnta3702/01_27_35_21.html',
'',
'',
('BED03/MBCCE_BED03_20161005_Event20170203/netcdf/30400034_full_traj.nc',
''),
('BED06/MBCCE_BED06_20160222_Event20170203/netcdf/60200236_decim_traj.nc',
''),
('BED06/MBCCE_BED06_20160222_Event20170218/netcdf/60200246_decim_traj.nc',
''),
('BED11/MBCCE_BED11_20161010_Event20170203/netcdf/B0100036_full_traj.nc',
''),
('BED11/MBCCE_BED11_20161010_Event20170203/netcdf/B0100037_full.nc',
''),
]
cl.bed_files_framegrabs = cl.bed_files_framegrabs_2015 + cl.bed_files_framegrabs_2016 + cl.bed_files_framegrabs_2017
cl.bed_files = [ffg[0] for ffg in cl.bed_files_framegrabs]
cl.bed_framegrabs = [ffg[1] for ffg in cl.bed_files_framegrabs]
cl.bed_platforms = [f.split('/')[0] for f in cl.bed_files ]
cl.bed_depths = np.round(cl.get_start_bed_depths(), 1)
# CCE event start and end times for loading mooring data
Event = namedtuple('Event', ['start', 'end'])
lores_event_times = [
Event(datetime(2016, 1, 15, 0, 0), datetime(2016, 1, 18, 0, 0)),
Event(datetime(2016, 3, 5, 0, 0), datetime(2016, 3, 8, 0, 0)),
]
hires_event_times = [
Event(datetime(2016, 1, 15, 21, 0), datetime(2016, 1, 16, 2, 0)),
Event(datetime(2016, 3, 6, 0, 0), datetime(2016, 3, 7, 0, 0)),
]
# CCE BIN data
'BED08/MBCCE_BED08_20161005_Event20170218/netcdf/80200052_trajectory.nc',
'BED11/MBCCE_BED11_20161010_Event20161124/netcdf/B0100012_trajectory.nc',
'BED06/MBCCE_BED06_20160222_Event20170109/netcdf/60200218_trajectory.nc',
'BED06/MBCCE_BED06_20160222_Event20170109/netcdf/60200219_trajectory.nc',
'BED03/MBCCE_BED03_20161005_Event20170203/netcdf/30400034_trajectory.nc',
'BED06/MBCCE_BED06_20160222_Event20170203/netcdf/60200236_trajectory.nc',
'BED06/MBCCE_BED06_20160222_Event20170218/netcdf/60200246_trajectory.nc',
]
cl.bed_platforms = [
'BED05', 'BED03', 'BED06', 'BED03', 'BED05', 'BED05', 'BED05', 'BED05', 'BED03', 'BED04',
'BED06', 'BED06', 'BED06', 'BED09', 'BED10', 'BED00',
] + [
'BED09' for n in range(56, 66)
] + [
'BED03', 'BED10'
] + [
'BED09' for n in range(4, 8)
] + [
'BED09', 'BED11', 'BED11'
] + [
'BED08' for n in range(1, 10)
] + [
'BED11', 'BED06', 'BED06', 'BED03', 'BED06', 'BED06',
]
cl.bed_depths = [
388, 201, 521, 289.3, 413, 420, 430, 433, 308, 294,
392, 405, 405, 198, 275, 145,
] + [
208, 226, 257, 287, 310, 314, 327, 347, 347, 351
] + [
288, 327
] + [
##cl.bed_depths = [201] * len(cl.bed_files)
# Just the event files for the CCE
cl.bed_files = [
'BED05/MBCCE_BED05_20151027_Event20151201/netcdf/50200024_decimated_trajectory.nc',
'BED03/20151001_20160115/netcdf/30200078_trajectory.nc',
'BED06/20151001_20160115/netcdf/60100068_trajectory.nc',
'BED03/MBCCE_BED03_20160212_Event20160217/netcdf/30300004_trajectory.nc',
'BED05/MBCCE_BED05_20151027_Event20160115/netcdf/50200054_trajectory.nc',
'BED05/MBCCE_BED05_20151027_Event20160115/netcdf/50200055_trajectory.nc',
'BED05/MBCCE_BED05_20151027_Event20160115/netcdf/50200056_trajectory.nc',
'BED05/MBCCE_BED05_20151027_Event20160115/netcdf/50200057_trajectory.nc',
'BED03/MBCCE_BED03_20160212_Event20160306/netcdf/30300016_trajectory.nc',
'BED04/MBCCE_BED04_20151004_Event20151201/netcdf/40100037_trajectory.nc',
]
cl.bed_platforms = ['BED05', 'BED03', 'BED06', 'BED03', 'BED05', 'BED05', 'BED05', 'BED05', 'BED03', 'BED04']
cl.bed_depths = [388, 201, 521, 289.3, 413, 420, 430, 433, 308, 294]
cl.bed_framegrabs = [
'http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2015/vnta3873/00_29_56_03.html',
'http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2015/vnta3874/00_21_23_28.html',
'http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2015/vnta3870/00_15_38_23.html',
'',
'',
'',
'',
'',
'',
'http://search.mbari.org/ARCHIVE/frameGrabs/Ventana/stills/2015/vnta3872/00_17_50_24.html',
]
# CCE BIN data
''),
('BED03/MBCCE_BED03_20161005_Event20170203/netcdf/30400034_full_traj.nc',
''),
('BED06/MBCCE_BED06_20160222_Event20170203/netcdf/60200236_decim_traj.nc',
''),
('BED06/MBCCE_BED06_20160222_Event20170218/netcdf/60200246_decim_traj.nc',
''),
('BED11/MBCCE_BED11_20161010_Event20170203/netcdf/B0100036_full_traj.nc',
''),
('BED11/MBCCE_BED11_20161010_Event20170203/netcdf/B0100037_full.nc', ''),
]
cl.bed_files_framegrabs = cl.bed_files_framegrabs_2015 + cl.bed_files_framegrabs_2016 + cl.bed_files_framegrabs_2017
cl.bed_files = [ffg[0] for ffg in cl.bed_files_framegrabs]
cl.bed_framegrabs = [ffg[1] for ffg in cl.bed_files_framegrabs]
cl.bed_platforms = [f.split('/')[0] for f in cl.bed_files]
cl.bed_depths = np.round(cl.get_start_bed_depths(), 1)
# CCE event start and end times for loading mooring data
Event = namedtuple('Event', ['start', 'end'])
lores_event_times = [
Event(datetime(2016, 1, 15, 0, 0), datetime(2016, 1, 18, 0, 0)),
Event(datetime(2016, 3, 5, 0, 0), datetime(2016, 3, 8, 0, 0)),
]
hires_event_times = [
Event(datetime(2016, 1, 15, 21, 0), datetime(2016, 1, 16, 2, 0)),
Event(datetime(2016, 3, 6, 0, 0), datetime(2016, 3, 7, 0, 0)),
]
# CCE BIN data
cl.ccebin_nominaldepth = 1836
