THE NERC MST RADAR FACILITY AT ABERYSTWYTH

Example template file for module_data_object.py (NCAS data project)

This page shows an example template used by David Hooper's module_data_object.py (python) software. This is used to create an "empty" data object, which can subsequently be written to a netCDF file. Refer to the software page for an explanation of the syntax.

################################ # Data object template file for NERC MST Radar Cardinal files (v4.0) # # DATA OBJECT TYPE # data_object_type: nerc-mstrf-radar-mst_st_cardinal_v4-0 # # GLOBAL ATTRIBUTES # global_attributes: - Conventions: data_type: str value: CF-1.6 - title: data_type: str value: | Altitude profiles of Cardinal data products derived from observations made by the 46.5 MHz NERC MST Radar at Aberystwyth. - description: data_type: str value: | This file contains altitude profiles of a variety of atmospheric data products related to winds, waves, turbulence, temperature gradients, and humidity. - source: data_type: str value: | The 46.5 MHz Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar at Capel Dewi (near Aberystwyth, UK). - institution: data_type: str value: | The Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility at Aberystwyth, http://mst.nerc.ac.uk , is funded by NERC through the National Centre for Atmospheric Science (NCAS), https://www.ncas.ac.uk . It is managed by RAL Space at the Science and Technology Facilities Council's (STFC) Rutherford Appleton Laboratory (RAL), https://www.ralspace.stfc.ac.uk . - history: data_type: str value: "" - references: data_type: str value: | The following publications mostly relate to wind data quality and representativeness. They are referred to in other global/variable attributes. Thomas, L., I. Astin, and R. M. Worthington (1997). A statistical study of underestimates of wind speeds by VHF radar. Ann. Geophys., 15, 805-812. DOI: 10.1007/s00585-997-0805-8. Hooper, D. A., and L. Thomas (1998). Complementary criteria for identifying regions of intense atmospheric turbulence using lower VHF radar. J. Atmos. Sol.-Terr. Phys., 60(1):49-61. DOI: 10.1016/S1364-6826(97)00054-0 Hooper, D. A., and J. Arvelius (2000). Monitoring of the Arctic winter tropopause: A comparison of radiosonde, ozonesonde and MST radar observations. Proceedings of the Ninth International Workshop on Technical and Scientific Aspects of MST Radar, pages 385-388. Sci. Comm. on Sol.-Terr. Phys. Secr., Boulder, Colorado, USA. Hooper, D. A., J. Nash, T. Oakley, and M. Turp (2008). Validation of a new signal processing scheme for the MST radar at Aberystwyth. Ann. Geophys., 26(11), 3253-3268. DOI: 10.5194/angeo-26-3253-2008 . Parton, Graham, Anthony Dore, and Geraint Vaughan (2010). A climatology of mid-tropospheric mesoscale strong wind events as observed by the MST radar, Aberystwyth. Meteorol. Apps., 17, 340-354, 2010. DOI: 10.1002/met.203 . Hooper, David A., David M. Edwards, Gemma Holmes, Kevin Linklater, Tim Oakley, Colin Parrett, and Myles Turp (2013). The usefulness of model-comparison statistics for wind-profiling radar operators. In R. Latteck and W. Singer, editors, Proceedings of the Thirteenth International Workshop on Technical and Scientific Aspects of MST Radar, pages 141-150. Leibniz-Institute of Atmospheric Physics at the Rostock University, Kühlungsborn, Germany. Available from http://purl.org/net/epubs/work/11539671 . Lee, C. F., G. Vaughan, and D. A. Hooper (2014). Evaluation of wind profiles from the NERC MST radar, Aberystwyth, UK. Atmos. Meas. Tech., 7(9), 3113-3126. DOI: 10.5194/amt-7-3113-2014 . - comment: data_type: str value: | Information about the data are spread across a wide range of global attributes. See, in particular, those with names starting with 'comment_'. If there are any comments specific to the data contained within the file, they will be given by a global_attribute 'comment_specific'. - rights: data_type: str value: | Copyright {observation_year} Natural Environment Research Council (NERC), http://www.nerc.ac.uk . Refer also to the 'license' and 'acknowledgement' global attributes. - license: data_type: str value: | Use of the data is covered by the (UK) Open Government Licence, http://www.nationalarchives.gov.uk/doc/open-government-licence . Refer also to the 'rights' and 'acknowledgement' global attributes. - acknowledgement: data_type: str value: | The National Centre for Atmospheric Science (NCAS), https://www.ncas.ac.uk , must be acknowledged as the data provider wherever the data from this file are used. Refer also to the 'rights' and 'license' global attributes. - publisher: data_type: str value: | This data file is published by the Centre for Environmental Data Analysis (CEDA), http://catalogue.ceda.ac.uk/uuid/86d964d18ac242a58e13bb8d1c849b48 . - creator_name: data_type: str value: David A. Hooper - creator_email: data_type: str value: david.hooper@ncas.ac.uk - creator_url: data_type: str value: http://mst.nerc.ac.uk - project: data_type: str value: | National Centre for Atmospheric Science (NCAS) long term measurement programme at Capel Dewi. - project_principal_investigator: data_type: str value: David A. Hooper - project_principal_investigator_contact: data_type: str value: david.hooper@ncas.ac.uk - platform_name: data_type: str value: capel-dewi - platform_type: data_type: str value: stationary_platform - platform_catalogue_url: data_type: str value: http://catalogue.ceda.ac.uk/uuid/8b723580e0e5426d888b273e42f76c1b - instrument_name: data_type: str value: nerc-mstrf-radar-mst - instrument_location: data_type: str value: 52 25 28.2936 N, -4 0 19.6913 E - instrument_location_keywords: data_type: str value: Capel Dewi, Aberystwyth, Ceredigion, Wales, UK - instrument_altitude_above_mean_sea_level_m: data_type: float32 value: 50.0 - instrument_electromagnetic_frequency_Hz: data_type: float32 value: 46.5e+6 - instrument_beam_one_way_half_power_half_width_degrees: data_type: float32 value: 1.5 - instrument_antenna_side_length_m: data_type: float32 value: 104.12 - instrument_manufacturer: data_type: str value: Rutherford Appleton Laboratory - instrument_model: data_type: str value: not applicable - instrument_serial_number: data_type: str value: not applicable - instrument_catalogue_url: data_type: str value: http://catalogue.ceda.ac.uk/uuid/6fcd4e23841b4aa0af75b8bb783011ea - calibration_sensitivity: data_type: str value: | Although the instrument is not calibrated, measures of the horizontal wind data quality are produced on a monthly basis from comparisons against model data - see Hooper et al. (2013) in the 'references' global attribute. - calibration_certification_date: data_type: str value: not applicable - calibration_certification_url: data_type: str value: not applicable - operational_software: data_type: str value: mstdaq.c and tools_mst_radar_schedule.py - operational_software_version: data_type: str value: not applicable - observation_year: data_type: int16 value: $observation_year - observation_month: data_type: int8 value: $observation_month - observation_day: data_type: int8 value: $observation_day - observation_start_time: data_type: str value: "{observation_start_time:%Y-%m-%dT%H:%M:%S}" - observation_end_time: data_type: str value: "{observation_end_time:%Y-%m-%dT%H:%M:%S}" - observation_altitude_mode: data_type: str value: st - observation_range_resolution_string: data_type: str value: "{observation_range_resolution_string}" - observation_range_resolution_number: data_type: int8 value: $observation_range_resolution_number - observation_bottom_range_gate_number: data_type: int16 value: $observation_bottom_range_gate_number - observation_top_range_gate_number: data_type: int16 value: $observation_top_range_gate_number - processing_software: data_type: str value: module_mst_processing_v4_0.py - processing_software_version_string: data_type: str value: v4.0 - processing_software_version_number: data_type: int8 value: 4 - processing_software_sub_version_number: data_type: int8 value: 0 - processing_nominal_smoothing_period_minutes: data_type: int16 value: $processing_nominal_smoothing_period_minutes - featureType: data_type: str value: timeSeriesProfile - data_product: data_type: str value: cardinal - data_product_level: data_type: int8 value: 3 - comment_processing_changes: data_type: str value: | The version 4 (v4) processing scheme is closely related to the version 3 (v3) scheme described by Hooper et al. (2008) in global attribute 'references'. The main difference is that the horizontal wind components in the v4 Cardinal files represent time averages over a nominal period given by the global attribute 'processing_nominal_smoothing_period_minutes'. This reduces the random measurement error of the single cycle estimates in the v3 Cartesian files. A second difference is the way in which values are calculated for the variable 'horizontal_wind_compensation_factor', which corrects for the effects of aspect sensitivity - see Thomas et al. (1997), Hooper et al. (2008), and Lee et al. (2014) in the global attribute 'references'. It was previously based on the (single cycle) ratio of signal powers observed at zenith angles of 4.2° and 6.0°. The v4 factor is based on the more-robust ratio of signal powers observed at zenith angles of 0.0° and 6.0°. Moreover, the signal powers are averaged over a nominal period given by the global attribute 'processing_nominal_smoothing_period_minutes'. These improved estimates of horizontal wind are used to calculate values of the variable 'corrected_spectral_width'. - comment_instrument_location: data_type: str value: | The values of the variables 'latitude' and 'longitude' have been taken from a Global Positioning System (GPS) receiver that was placed close to the centre of the MST radar's antenna array. The coordinates should be accurate to within +/- 5 m. The value of global attribute 'instrument_altitude_above_mean_sea_level_m' has been taken from the Ordnance Survey Landranger 135 map for the area. It should be accurate to within +/- 5 m. - comment_instrument_technique: data_type: str value: | The NERC MST Radar is a 46.5 MHz pulsed Doppler radar that is used to study the atmosphere. The radar returns are primarily from 'clear-air' targets, i.e. structures in atmospheric refractive index that have scale sizes of half the radar's wavelength (approximately 3 m) along the beam pointing direction. The refractive index depends on humidity (within the lowest 10 km of the atmosphere), on air density (within the lowest few 10s of km), and on free electron density (above 50 km). The radar return signals are parameterised by their power, Doppler shift, and spectral width. The signal power depends on the vertical gradient of (potential) refractive index and so relates to atmospheric structure. The Doppler shift depends on the radial component of the wind along the beam pointing direction. Observations must be made in the vertical direction and at an off-vertical angle in at least two orthogonal azimuths in order for the three dimensional wind vector to be derived. The spectral width depends on the intensity of any turbulence with the radar observation volume. However, the values must be corrected for the effects of beam-broadening, which depends on the horizontal wind speed and on the radar's beam width - see global attribute 'comment_spectral_width'. - comment_horizontal_wind: data_type: str value: | The horizontal wind components, given by the variables 'eastward_wind' (v_E) and 'northward_wind' (v_N), have been smoothed in time by a nominal amount given by the global attribute 'processing_nominal_smoothing_period_minutes'. Horizontal wind speeds (v_H) and directions can be derived using the following relationships: v_H = sqrt(v_E^2 + v_N^2) φ_met = 180/pi * atan2(-v_E,-v_N) φ_vect = 180/pi * atan2(v_E,v_N) where sqrt indicates the square root, ^2 indicates raised to the power of 2, φ_met is the meteorological convention wind direction (i.e. from which it is blowing), φ_vect is the vector convention wind direction (i.e. towards which it is blowing), 180/pi is the conversion factor between angles in radians and in degrees, and atan2(y,x) is the four quadrant arctangent function. Note that some computing environments, such as Microsoft Excel, use an atan2(x,y) function for which the order of the arguments must be reversed. - comment_vertical_beam_variables: data_type: str value: | The values of variables 'noise_power', 'signal_power', 'upward_wind', and 'spectral_width' are taken from the first vertical beam dwell of each observation cycle. The values of the latter 3 are taken from the range gates that are closest in altitude to those at 6.0° off-vertical, which are used to derive the horizontal wind components. All three variables share the same quality control flag variable, 'qc_flag_vertical_beam', and quality details variable, 'qc_details_vertical_beam'. - comment_dB_units: data_type: str value: | Radar return signal powers have dimensions of watts. The values are uncalibrated and are stored in dB units, P_dB, rather than linear units, P_linear: P_dB = 10.0 * log10(P_linear) where log10 is the logarithm to base 10. The ratio of signal powers in linear units is equivalent to the difference in dB units. - comment_tropopause: data_type: str value: | The altitude and sharpness of the tropopause - stored by variables 'tropopause_altitude' and 'tropopause_sharpness' - are derived from altitude profiles of the vertical beam signal power following Hooper and Arvelius (2000) - see global attribute 'references'. A tropopause sharpness value of 0 corresponds to a signal power gradient of less than 2.0 dB/km, a value of 1 to less than 3.5 dB/km, a value of 2 to less than 5.0 dB/km, and a value of 3 to greater than 5.0 dB/km. Note that these gradients are twice those used by Hooper and Arvelius (2000), which were based on signal amplitudes rather than powers. The tropopause details contained in the v3 Cartesian files are based on single cycle profiles of signal power. The values in the v4.0 Cardinal files are the medians of the v3 values taken over a nominal period given by global attribute 'processing_nominal_smoothing_period_minutes'. - comment_spectral_width: data_type: str value: | The observed spectral width, σ_obs (m s-1), for MST radar observations made in the vertical pointing direction - i.e. given by variable 'spectral_width' - is determined both by the spread of velocities caused by turbulence, σ_turb (m s-1), and by the beam broadening component, σ_beam (m s-1): σ_obs^2 = σ_turb^2 + σ_beam^2 where ^2 represents raised to the power of 2. The beam broadening component is determined by the radar's beam width, σ_0, and by the horizontal wind speed, v_H (m s-1): σ_beam = v_H * sin(σ_0) where sin^2(σ_0) = sin^2(θ_1whphw) / (4 * ln2) and θ_1whphw is the one-way half-power half-width of the beam, which is given by the global attribute 'instrument_beam_one_way_half_power_half_width_degrees', and ln is the natural logarithm. The values of σ_turb are stored by the variable 'corrected_spectral_width'. These are set to 0.0 where the beam broadening component exceeds the observed spectral width. The observed spectral widths have a finite minimum value and so care should be taken when interpreting the corrected values under conditions of small wind speeds. In order to convert from corrected spectral width to turbulence eddy dissipate rate, ε (W kg-1), it is necessary to know the Brunt-Vaisala frequency, ω_B (radians s-1), e.g. from radiosonde data: ε = C * σ_turb^2 * ω_B where C is a constant of proportionality, which is typically assumed to lie between 0.25 and 0.50. Refer to Hooper and Thomas (1998) in the 'references' global attribute for more details. - comment_qc_flag: data_type: str value: | For many of the variables in the v4 Cardinal files, an indication of which values are considered to be reliable is given by an associated quality control flag variable. The name of the latter is given by the 'ancillary_variables' attribute of the main variable (and the 'associated_variables' attribute of a quality control flag variable gives the names of the main variables associated with it). A quality control flag value of 1 implies that the associated values are reliable. A value of 0 is never used and any value higher than 1 implies that the associated values are either unreliable or should only be used with caution. Refer to the 'flag_values' and 'flag_meanings' attributes of each quality control flag variable for specific details. In some cases, additional quality control details are given by an associated quality control details flag - see global attribute 'comment_qc_details'. - comment_qc_details: data_type: str value: | In most circumstances it is best to make use of the associated quality control flag variable in order to determine which variable values are are considered to be reliable. The 'qc_details_vertical_beam' variable contains all of the information, encoded bitwise, used to determine the overall reliability. The same technique is used in the radial and Cartesian data files and so not all of the following bits are used for the vertical beam signal here. bit 00: 1 if the signal is available bit 01: 1 if the peak smoothed power spectral density (PSD) is greater than a set threshold above the noise Power Spectral Density. bit 02: 1 if the signal belongs to a radial chain bit 03: 1 if the signal fits overall radial continuity bit 04: 1 if a secondary signal belongs to a radial chain bit 05: 1 if the signal has passed a uni-directional time continuity test bit 06: 1 if the signal has passed a bi-directional time continuity test If bit number n has a value of 1, the following condition will be met: qc_details_vertical_beam & 2^n == 2^n where & represents a bitwise AND function and ^ represents raised to the power of 2. # # VARIABLES # variables: - latitude: - dimensions: [latitude] - data_type: float32 - values: [52.424526] - standard_name: data_type: str value: latitude - long_name: data_type: str value: Instrument latitude - units: data_type: str value: degrees_north - comment: data_type: str value: | Refer to global attribute 'comment_instrument_location' for more details about this variable. - longitude: - dimensions: [longitude] - data_type: float32 - values: [-4.0054698] - standard_name: data_type: str value: longitude - long_name: data_type: str value: Instrument longitude - units: data_type: str value: degrees_east - comment: data_type: str value: | Refer to global attribute 'comment_instrument_location' for more details about this variable. - time: - dimensions: [time] - data_type: float32 - standard_name: data_type: str value: time - long_name: data_type: str value: Start time of observation cycle - units: data_type: str value: seconds since {observation_date:%Y-%m-%d} 00:00:00 +00:00 - axis: data_type: str value: T - comment: data_type: str value: | The values refer to the start of observation cycles. The data acquisition computer synchronises its clock using Network Time Protocol (NTP). - altitude: - dimensions: [altitude] - data_type: float32 - standard_name: data_type: str value: altitude - long_name: data_type: str value: Altitude above mean sea level - units: data_type: str value: m - axis: data_type: str value: Z - positive: data_type: str value: up - comment: data_type: str value: The values refer to the centres of the range gates. - eastward_wind: - dimensions: [time, altitude] - data_type: float32 - standard_name: data_type: str value: eastward_wind - long_name: data_type: str value: Eastward wind component - units: data_type: str value: m s-1 - coordinates: data_type: str value: latitude longitude - ancillary_variables: data_type: str value: qc_flag_horizontal_wind - comment: data_type: str value: | Refer to global attribute 'comment_horizontal_wind' for more details about this variable. - northward_wind: - dimensions: [time, altitude] - data_type: float32 - standard_name: data_type: str value: northward_wind - long_name: data_type: str value: Northward wind component - units: data_type: str value: m s-1 - coordinates: data_type: str value: latitude longitude - ancillary_variables: data_type: str value: qc_flag_horizontal_wind - comment: data_type: str value: | Refer to global attribute 'comment_horizontal_wind' for more details about this variable. - upward_wind: - dimensions: [time, altitude] - data_type: float32 - standard_name: data_type: str value: upward_wind - long_name: data_type: str value: Upward wind component - units: data_type: str value: m s-1 - coordinates: data_type: str value: latitude longitude - ancillary_variables: data_type: str value: qc_flag_vertical_beam - v3_cartesian_file_variable_name: data_type: str value: vertical_beam_radial_velocity - comment: data_type: str value: | The values have an accuracy of the order of 0.1 m s-1, which means that they cannot be used to identify small-magnitude synoptic-scale vertical velocities. However, they are well-suited for identifying mountain/convectively-generated waves and convection. Refer to global attribute 'comment_vertical_beam_variables' for more details about this variable. - signal_power: - dimensions: [time, altitude] - data_type: float32 - long_name: data_type: str value: Vertical beam signal power - units: data_type: str value: dB - coordinates: data_type: str value: latitude longitude - ancillary_variables: data_type: str value: qc_flag_vertical_beam - v3_cartesian_file_variable_name: data_type: str value: vertical_beam_signal_power - comment: data_type: str value: | Refer to global attributes 'comment_vertical_beam_variables' and 'comment_dB_units' for more details about this variable. - aspect_sensitivity: - dimensions: [time, altitude] - data_type: float32 - long_name: data_type: str value: Ratio of vertical to 6.0° off-vertical signal powers - units: data_type: str value: dB - coordinates: data_type: str value: latitude longitude - ancillary_variables: data_type: str value: qc_flag_aspect_sensitivity - comment: data_type: str value: | The values are based on the signal powers averaged across all vertical beam dwells within each observation cycles and those averaged across all 6.0° off-vertical dwells. Vertical beam values are taken from the range gates that are closest in altitude to those at 6.0° off-vertical. Refer to Hooper and Thomas (1998) in the 'references' global attribute for more details. Refer also to global attribute 'comment_dB_units'. - corrected_spectral_width: - dimensions: [time, altitude] - data_type: float32 - long_name: data_type: str value: Beam broadening corrected vertical beam spectral width - units: data_type: str value: m s-1 - coordinates: data_type: str value: latitude longitude - ancillary_variables: data_type: str value: qc_flag_corrected_spectral_width - v3_cartesian_file_variable_name: data_type: str value: beam_broadening_corrected_spectral_width - comment: data_type: str value: | Refer to global attributes 'comment_vertical_beam_variables' and 'comment_spectral_width' for more details about this variable. - tropopause_altitude: - dimensions: [time] - data_type: float32 - standard_name: data_type: str value: tropopause_altitude - long_name: data_type: str value: Radar-derived tropopause altitude - units: data_type: str value: m - coordinates: data_type: str value: latitude longitude - comment: data_type: str value: | Refer to global attribute 'comment_tropopause' for more details about this variable. - tropopause_sharpness: - dimensions: [time] - data_type: int8 - long_name: data_type: str value: Radar-derived tropopause sharpness index - units: data_type: str value: "1" - coordinates: data_type: str value: latitude longitude - flag_values: data_type: int8 value: [0, 1, 2, 3] - flag_meanings: data_type: str value: indefinite lower_intermediate upper_intermediate definite - v3_cartesian_file_variable_name: data_type: str value: tropopause_sharpness_factor - comment: data_type: str value: | Refer to global attribute 'comment_tropopause' for more details about this variable. - noise_power: - dimensions: [time] - data_type: float32 - long_name: data_type: str value: Vertical beam median spectral noise power over altitude - units: data_type: str value: dB - coordinates: data_type: str value: latitude longitude - v3_cartesian_file_variable_name: data_type: str value: vertical_beam_median_noise_power - comment: data_type: str value: | The noise power spectral density is derived for each spectrum using a statistical technique - refer to Hooper et al. (2008) in the 'references' global attribute. The noise power represents this value integrated across the width of the spectrum. The value of this variable represents the median value over the altitude profile for the first vertical beam dwell of each observation cycle. It undergoes a diurnal variation of a few dB as a result of variations in sky noise. Refer also to global attributes 'comment_vertical_beam_variables' and 'comment_dB_units'. - qc_flag_horizontal_wind: - dimensions: [time, altitude] - data_type: int8 - long_name: data_type: str value: Quality control/reliability flag for horizontal wind variables - units: data_type: str value: "1" - coordinates: data_type: str value: latitude longitude - flag_values: data_type: int8 value: [1, 2] - flag_meanings: data_type: str value: reliable not_reliable - associated_variables: data_type: str value: eastward_wind northward_wind - comment: data_type: str value: | Refer to global attribute 'comment_qc_flag' for more details about this variable. - qc_flag_vertical_beam: - dimensions: [time, altitude] - data_type: int8 - long_name: data_type: str value: Quality control/reliability flag for vertical beam variables - units: data_type: str value: "1" - coordinates: data_type: str value: latitude longitude - flag_values: data_type: int8 value: [1, 2] - flag_meanings: data_type: str value: reliable not_reliable - associated_variables: data_type: str value: signal_power upward_wind spectral_width - comment: data_type: str value: | Refer to global attribute 'comment_qc_flag' for more details about this variable. - qc_details_vertical_beam: - dimensions: [time, altitude] - data_type: int16 - long_name: data_type: str value: Quality control/reliability details for vertical beam variables - units: data_type: str value: "1" - coordinates: data_type: str value: latitude longitude - comment: data_type: str value: | Refer to global attribute 'comment_qc_details' for more details about this variable. - qc_flag_aspect_sensitivity: - dimensions: [time, altitude] - data_type: int8 - long_name: data_type: str value: Quality control/reliability flag for aspect sensitivity values - units: data_type: str value: "1" - coordinates: data_type: str value: latitude longitude - flag_values: data_type: int8 value: [1, 2] - flag_meanings: data_type: str value: reliable unreliable - associated_variables: data_type: str value: aspect_sensitivity - comment: data_type: str value: | Refer to global attribute 'comment_qc_flag' for more details about this variable. - qc_flag_corrected_spectral_width: - dimensions: [time, altitude] - data_type: int8 - long_name: data_type: str value: Quality control/reliability flag for corrected spectral width values - units: data_type: str value: "1" - coordinates: data_type: str value: latitude longitude - flag_values: data_type: int8 value: [1, 2, 3] - flag_meanings: data_type: str value: reliable overcorrected unreliable - associated_variables: data_type: str value: corrected_spectral_width - comment: data_type: str value: | A flag value of 2 indicates that the beam broadening correction is larger than the observed spectral width and so the corrected value is set to zero. The associated corrected_spectral_width values are still worth plotting. Refer also to global attributes 'comment_qc_flag' and 'comment_spectral_width'. - horizontal_wind_compensation_factor: - dimensions: [time, altitude] - data_type: float32 - long_name: data_type: str value: Horizontal wind aspect sensitivity compensation factor - units: data_type: str value: "1" - coordinates: data_type: str value: latitude longitude - v3_cartesian_file_variable_name: data_type: str value: horizontal_wind_theta_s_compensation_factor - comment: data_type: str value: | The values of variable 'horizontal_wind_compensation_factor' are included for reference purposes only. They have already been applied to the values of variables 'eastward_wind' and 'northward_wind'. Refer to global attribute 'comment_processing_changes' for more details. - number_of_cycles_in_smoothing_period: - dimensions: [time] - data_type: int8 - long_name: data_type: str value: | The number of cycles available in the smoothing period used to derive the horizontal wind components. - units: data_type: str value: "1" - coordinates: data_type: str value: latitude longitude - comment: data_type: str value: | Refer to global attribute 'comment_horizontal_wind' for more details about this variable. - spectral_width: - dimensions: [time, altitude] - data_type: float32 - long_name: data_type: str value: Vertical beam observed spectral width - units: data_type: str value: m s-1 - coordinates: data_type: str value: latitude longitude - ancillary_variables: data_type: str value: qc_flag_vertical_beam - v3_cartesian_file_variable_name: data_type: str value: vertical_beam_spectral_width - comment: data_type: str value: | This variable has been included for reference purposes only. Use should instead be made of the 'corrected_spectral_width' variable for turbulence information. Refer also to global attributes 'comment_vertical_beam_variables' and 'comment_spectral_width' for more details about this variable. ############################