netcdf sgpmwrret1liljclouC1.s1.20200819.000015 { dimensions: time = UNLIMITED ; // (3439 currently) nlevels = 54 ; nvbias = 100 ; variables: int base_time ; base_time:string = "19-Aug-2020, 00:00:00 GMT" ; base_time:long_name = "Base time in Epoch" ; base_time:units = "seconds since 1970-1-1 0:00:00 0:00" ; double time_offset(time) ; time_offset:long_name = "Time offset from base_time" ; time_offset:units = "seconds since 2020-8-19 00:00:00" ; double time(time) ; time:long_name = "Time offset from midnight" ; time:units = "seconds since 2020-8-19 00:00:00" ; float hour(time) ; hour:long_name = "Hour of the day" ; hour:units = "UTC" ; float be_pwv(time) ; be_pwv:long_name = "Precipitable water vapor best-estimate value" ; be_pwv:units = "cm" ; be_pwv:missing_value = -9999.f ; be_pwv:valid_min = -1.f ; be_pwv:valid_max = 8.f ; be_pwv:comment = "Equal to stat2_pwv during periods where phys_pwv has bad quality, and equal to phys_pwv at all other times. If both stat2_pwv and phys_pwv have bad quality be_pwv is set to -9999." ; int qc_be_pwv(time) ; qc_be_pwv:long_name = "Quality check results on field: Precipitable water vapor best-estimate value" ; qc_be_pwv:units = "unitless" ; qc_be_pwv:description = "This field contains qc values which should be interpreted as listed:\n", "0 = Good: Data exists and passed all qc tests.\n", "1 = Indeterminate: Data may be bad, further analysis recommended.\n", "2 = Bad: Data has a bad value.\n", "3 = Missing: Data is missing." ; float be_lwp(time) ; be_lwp:long_name = "Liquid water path best-estimate value" ; be_lwp:units = "g/m^2" ; be_lwp:missing_value = -9999.f ; be_lwp:valid_min = -50.f ; be_lwp:comment = "Equal to stat2_lwp during periods where phys_lwp has bad quality, and equal to phys_lwp at all other times. If both stat2_lwp and phys_lwp have bad quality be_lwp is set to -9999." ; int qc_be_lwp(time) ; qc_be_lwp:long_name = "Quality check results on field: Liquid water path best-estimate value" ; qc_be_lwp:units = "unitless" ; qc_be_lwp:description = "This field contains qc values which should be interpreted as listed:\n", "0 = Good: Data exists and passed all qc tests.\n", "1 = Indeterminate: Data may be bad, further analysis recommended.\n", "2 = Bad: Data has a bad value.\n", "3 = Missing: Data is missing." ; int be_retrieval_flag(time) ; be_retrieval_flag:long_name = "Best-estimate retrieval flag" ; be_retrieval_flag:units = "unitless" ; be_retrieval_flag:comment = "Flag indicating whether be_lwp and be_pwv represents the physical or stat2 retrieval method.\n", " 1 = physical retrieval performed\n", " 2 = stat2 retrieval performed\n", " 0 = be_lwp and be_pwv values were missing, no retrieval performed" ; float tbsky23(time) ; tbsky23:long_name = "Sky brightness temperature at 23.8 GHz" ; tbsky23:units = "K" ; tbsky23:valid_min = 2.73f ; tbsky23:valid_max = 100.f ; tbsky23:missing_value = -9999.f ; int qc_tbsky23(time) ; qc_tbsky23:long_name = "Quality check results on field: Sky brightness temperature at 23.8 GHz" ; qc_tbsky23:units = "unitless" ; qc_tbsky23:description = "This field contains qc values which should be interpreted as listed:\n", "0 = Good: Data exists and passed all qc tests.\n", "1 = Indeterminate: Data may be bad, further analysis recommended.\n", "2 = Bad: Data has a bad value.\n", "3 = Missing: Data is missing." ; float tbsky31(time) ; tbsky31:long_name = "Sky brightness temperature at 31.4 GHz" ; tbsky31:units = "K" ; tbsky31:valid_min = 2.73f ; tbsky31:valid_max = 100.f ; tbsky31:missing_value = -9999.f ; int qc_tbsky31(time) ; qc_tbsky31:long_name = "Quality check results on field: Sky brightness temperature at 31.4 GHz" ; qc_tbsky31:units = "unitless" ; qc_tbsky31:description = "This field contains qc values which should be interpreted as listed:\n", "0 = Good: Data exists and passed all qc tests.\n", "1 = Indeterminate: Data may be bad, further analysis recommended.\n", "2 = Bad: Data has a bad value.\n", "3 = Missing: Data is missing." ; float lat ; lat:long_name = "North latitude" ; lat:units = "degrees_N" ; float lon ; lon:long_name = "East longitude" ; lon:units = "degrees_E" ; float alt ; alt:long_name = "Altitude above mean sea level" ; alt:units = "m" ; // global attributes: :command_line = "mwrret -d 20200819 -f C1 -s sgp -n 1 -p -c 300" ; :date_created = "Mon Aug 24 18:42:12 2020 GMT" ; :process_version = "$Id: aer_mwr_retrieval.c,v 1.77 2013-08-08 16:15:02 gaustad Exp $" ; :site_id = "sgp" ; :facility_id = "C1" ; :ancio_version = "\n", " Ancio library version - $State: ants-ancio-2.11-3.el6 $\n", "Netcdf library version - 4.1.1 of Jan 30 2014 05:31:22 $" ; :data_level = "s1" ; :algorithm_reference_1 = "Turner, D.D., S.A. Clough, J.C. Liljegren, E.E. Clothiaux, K. Cady-Pereira, and K.L. Gaustad, 2007: Retrieving liquid water path and precipitable water vapor from Atmospheric Radiation Measurement (ARM) microwave radiometers. IEEE Trans. Geosci. Remote Sens., 45, 3680-3690, doi:10.1109/TGRS.2007.903" ; :authors = "SA Clough, K Cady-Pereira, JC Liljegren, EE Clothiaux, and DD Turner" ; :qc_standards_version = "1.0" ; :input_datastreams_description = "A string consisting of the datastream(s), datastream version(s), and datastream date (range)." ; :input_datastreams_num = 9 ; :input_datastreams = "sgpsondewnpnC1.b1 : 10.130000 : 20200818.232700-20200820.054100\n", "sgpmwrlosC1.b1 : 2.300000 : 20200819.000015\n", "sgp1twrmrC1.c1 : 0.100000 : 20200819.000000\n", "sgpceilC1.b1 : 1.600000 : 20200819.000006" ; :tb23_sbias = "Static bias removed from 23.8 GHz channel before retrieval: 0.000000 K" ; :tb31_sbias = "Static bias removed from 31.4 GHz channel before retrieval: 0.000000 K" ; :tb23_vbias = "Variable bias removed from 23.8 GHz channel before retrieval: 0.000000 K" ; :tb31_vbias = "Variable bias removed from 31.4 GHz channel before retrieval: -0.120084 K" ; :vbias31_status = "vbias not updated" ; :tb23_uncertainty = "The 1-sigma uncertainty in the MWR observations at 23.8 GHz: 0.250000 K" ; :tb31_uncertainty = "The 1-sigma uncertainty in the MWR observations at 31.4 GHz: 0.250000 K" ; :vbias_clear_sky_determination_threshold_35ghz_stdev = "0.200000" ; :nominal_noise_diode_temperature = "290.000000 K" ; :sampling_interval = "20.000000 seconds" ; :teflon_window_correction_coef_23 = 0.00164 ; :teflon_window_correction_coef_31 = 0.00217 ; :mean_atmos_radiating_temp_23 = "286.866000 K" ; :mean_atmos_radiating_temp_31 = "284.454000 K" ; :cosmic_background_temperature = "2.750000 K" ; :vapor_retrieval_coefficient_0 = -0.04928 ; :vapor_retrieval_coefficient_1 = 23.38 ; :vapor_retrieval_coefficient_2 = -13.6 ; :liquid_retrieval_coefficient_0 = -0.01439 ; :liquid_retrieval_coefficient_1 = -0.2441 ; :liquid_retrieval_coefficient_2 = 0.7448 ; :physical_retrieval_sample = "The retrieval was performed on every sample" ; :physical_retrieval_comment = "PWV and LWP are retrieved using a physical-iterative approach where the atmospheric state (structure) is specified by interpolated radiosonde profiles. The monoRTM model is the forward model used in the retrieval. The retrieval approach uses the optimal estimation methodology, and the covariance of the observations is propagated through the retrieval to provide estimates of the uncertainty in the retrieved parameters." ; :stat2_retrieval_comment = "PWV and LWP are retrieved using a statistical method where the retrieval coefficients utilized are predicted from surface meteorological observations. This retrieval also accounts for the temperature of the cloud liquid water. The monoRTM radiative transfer model from A.E.R., Inc., was used to generate the prediction equations and retrieval coefficients. (LiljRet6a)" ; :averaging_interval = "40 minute window centered on sample time" ; :doi = "10.5439/1285691" ; :history = "created by user dsmgr on machine ruby at 25-Aug-2020,18:42:13" ; }