HDF5 file, superblock version 2
group /
	attribute Comment_on_recentering1 = "The WVMR profile prior recentered using a surface WVMR value of 17.93 g/kg"
	attribute Comment_on_recentering2 = "The WVMR profile was scaled by a factor of  1.10"
	attribute Comment_on_recentering3 = "The temperature prior was derived by conserving the RH profile"
	attribute Dataset_contact = "Tyler Bell, CIWRO/NSSL, tyler.bell@noaa.gov; Elizabeth Smith, NSSL, elizabeth.smith@noaa.gov"
	attribute Instrument = "AERI-113"
	attribute Prior_dataset_Q_inflation_factor = "1.0 at the surface to 1.0 at 1.0 km AGL"
	attribute Prior_dataset_TQ_correlation_reduction_factor = 1.0
	attribute Prior_dataset_T_inflation_factor = "1.0 at the surface to 1.0 at 1.0 km AGL"
	attribute Prior_dataset_comment = "None"
	attribute Prior_dataset_filename = "/data//clamps/priors/lakecharles/Xa_Sa_datafile.month_06.cdf"
	attribute Prior_dataset_number_profiles = 4790
	attribute Processing_comment1 = "CBH derived from vertical stares of the CLAMPS Doppler lidar data.  AERI data has it original spectral calibration"
	attribute Processing_comment2 = "RAP input for T/q from 4 - 18 km included"
	attribute Retrieval_option_flags = "1, 1, 1, 1, 0, 0, 0, 0, 0"
	attribute Retrieval_start_hour = 0.0
	attribute Site = "SPARC Deployment location is Pearland, TX"
	attribute Total_clock_execution_time_in_s = "46574.702553"
	attribute VIP_avg_instant = 1
	attribute VIP_cbh_default_ht = 1.0
	attribute VIP_cbh_path = "/data/reprocessing/tracer/sparc/ingested/CSAPRdlfpsparc.b1/"
	attribute VIP_cbh_type = 3
	attribute VIP_cbh_window_in = 20
	attribute VIP_cbh_window_out = 180
	attribute VIP_co2_sfc_npts = 1
	attribute VIP_co2_sfc_path = "None"
	attribute VIP_co2_sfc_relative_height = 0
	attribute VIP_co2_sfc_rep_error = 0.0
	attribute VIP_co2_sfc_time_delta = 1.5
	attribute VIP_co2_sfc_type = 0
	attribute VIP_ext_sfc_path = "/data/reprocessing/tracer/sparc/ingested/CSAPRmetsparc.b1/"
	attribute VIP_ext_sfc_pres_type = 0
	attribute VIP_ext_sfc_relative_height = 2
	attribute VIP_ext_sfc_temp_npts = 1
	attribute VIP_ext_sfc_temp_rep_error = 1.0
	attribute VIP_ext_sfc_temp_type = 1
	attribute VIP_ext_sfc_time_delta = 0.2
	attribute VIP_ext_sfc_wv_mult_error = 1.0
	attribute VIP_ext_sfc_wv_npts = 1
	attribute VIP_ext_sfc_wv_rep_error = 1.0
	attribute VIP_ext_sfc_wv_type = 1
	attribute VIP_ext_temp_noise_adder_hts = 0.0, 3.0, 20.0
	attribute VIP_ext_temp_noise_adder_val = 0.0, 0.0, 0.0
	attribute VIP_ext_temp_noise_mult = 1.0
	attribute VIP_ext_temp_prof_maxht = 10.0
	attribute VIP_ext_temp_prof_minht = 0.0
	attribute VIP_ext_temp_prof_path = "None"
	attribute VIP_ext_temp_prof_type = 0
	attribute VIP_ext_temp_time_delta = 1.0
	attribute VIP_ext_wv_add_rel_error = 0.0
	attribute VIP_ext_wv_noise_mult_hts = 0.0, 3.0, 20.0
	attribute VIP_ext_wv_noise_mult_val = 1.0, 1.0, 1.0
	attribute VIP_ext_wv_prof_maxht = 10.0
	attribute VIP_ext_wv_prof_minht = 0.0
	attribute VIP_ext_wv_prof_path = "None"
	attribute VIP_ext_wv_prof_type = 0
	attribute VIP_ext_wv_time_delta = 1.0
	attribute VIP_first_guess = 1
	attribute VIP_fix_ch4_shape = 0
	attribute VIP_fix_co2_shape = 0
	attribute VIP_fix_n2o_shape = 0
	attribute VIP_icloud_ssp = "/home/tropoe/vip/src/input/ssp_db_files/ssp_db.mie_ice.gamma_sigma_0p100"
	attribute VIP_irs_calib_pres = 0.0, 1.0
	attribute VIP_irs_fa = 0.0
	attribute VIP_irs_fv = 0.0
	attribute VIP_irs_hatch_switch = 1
	attribute VIP_irs_max_675_bt = 313.0
	attribute VIP_irs_min_675_bt = 263.0
	attribute VIP_irs_new_ffov_halfangle = 0.0
	attribute VIP_irs_noise_inflation = 1.0
	attribute VIP_irs_old_ffov_halfangle = 23.0
	attribute VIP_irs_pca_nf = 0
	attribute VIP_irs_smooth_noise = 0
	attribute VIP_irs_spec_cal_factor = 1.0
	attribute VIP_irs_type = 4
	attribute VIP_irs_use_missingDataFlag = 1
	attribute VIP_irs_zenith_scene_mirror_angle = 0
	attribute VIP_irsch1_path = "/data/reprocessing/tracer/sparc/ingested/CSAPRaerich1sparc.b1"
	attribute VIP_irseng_path = "/data/reprocessing/tracer/sparc/ingested/CSAPRaerisummarysparc.b1"
	attribute VIP_irssum_path = "/data/reprocessing/tracer/sparc/ingested/CSAPRaerisummarysparc.b1"
	attribute VIP_jac_max_ht = 8.0
	attribute VIP_lbl_home = "/home/tropoe/vip/src/lblrtm_v12.1/lblrtm"
	attribute VIP_lbl_std_atmos = 6
	attribute VIP_lbl_tape3 = "tape3.data"
	attribute VIP_lbl_temp_dir = "/tmp"
	attribute VIP_lbl_version = "v12.1"
	attribute VIP_lblrtm_forward_threshold = 0.0
	attribute VIP_lblrtm_jac_interpol_npts_wnum = 10
	attribute VIP_lblrtm_jac_option = 4
	attribute VIP_lcloud_ssp = "/home/tropoe/vip/src/input/ssp_db_files/ssp_db.mie_wat.gamma_sigma_0p100"
	attribute VIP_max_PBL_height = 5.0
	attribute VIP_max_iterations = 10
	attribute VIP_min_PBL_height = 0.3
	attribute VIP_mod_temp_noise_adder_hts = 0.0, 3.0, 20.0
	attribute VIP_mod_temp_noise_adder_val = 0.0, 0.0, 0.0
	attribute VIP_mod_temp_noise_mult = 1.0
	attribute VIP_mod_temp_prof_maxht = 18.0
	attribute VIP_mod_temp_prof_minht = 4.0
	attribute VIP_mod_temp_prof_path = "/data/reprocessing/tracer/sparc/aux/RRsoundings/"
	attribute VIP_mod_temp_prof_type = 4
	attribute VIP_mod_temp_time_delta = 1.0
	attribute VIP_mod_wv_noise_mult_hts = 0.0, 3.0, 20.0
	attribute VIP_mod_wv_noise_mult_val = 1.0, 1.0, 1.0
	attribute VIP_mod_wv_prof_maxht = 18.0
	attribute VIP_mod_wv_prof_minht = 4.0
	attribute VIP_mod_wv_prof_path = "/data/reprocessing/tracer/sparc/aux/RRsoundings/"
	attribute VIP_mod_wv_prof_type = 4
	attribute VIP_mod_wv_time_delta = 1.0
	attribute VIP_monortm_exec = "/home/tropoe/vip/src/monortm_v5.0/monortm/monortm_v5.0_linux_gnu_sgl"
	attribute VIP_monortm_jac_option = 2
	attribute VIP_monortm_spec = "/home/tropoe/vip/src/monortm_v5.0/monolnfl_v1.0/TAPE3.spectral_lines.dat.0_55.v5.0_veryfast"
	attribute VIP_monortm_version = "v5.0"
	attribute VIP_monortm_wrapper = "/home/tropoe/vip/src/monortm_v5.0/wrapper/monortm_v5"
	attribute VIP_mwr_elev_field = "elev"
	attribute VIP_mwr_freq_field = "freq"
	attribute VIP_mwr_n_tb_fields = 0
	attribute VIP_mwr_path = "None"
	attribute VIP_mwr_rootname = "mwr"
	attribute VIP_mwr_tb_bias = "0.0,0.0"
	attribute VIP_mwr_tb_field1_tbmax = 100.0
	attribute VIP_mwr_tb_field_names = "tbsky23,tbsky31"
	attribute VIP_mwr_tb_freqs = "23.8,31.4"
	attribute VIP_mwr_tb_noise = "0.3,0.3"
	attribute VIP_mwr_tb_replicate = 1
	attribute VIP_mwr_time_delta = 0.083
	attribute VIP_mwr_type = 0
	attribute VIP_mwrscan_elev_field = "elev"
	attribute VIP_mwrscan_elevations = "20,160"
	attribute VIP_mwrscan_freq_field = "freq"
	attribute VIP_mwrscan_n_elevations = 2
	attribute VIP_mwrscan_n_tb_fields = 0
	attribute VIP_mwrscan_path = "None"
	attribute VIP_mwrscan_rootname = "mwr"
	attribute VIP_mwrscan_tb_bias = "0.0,0.0"
	attribute VIP_mwrscan_tb_field1_tbmax = 330.0
	attribute VIP_mwrscan_tb_field_names = "tbsky23,tbsky31"
	attribute VIP_mwrscan_tb_freqs = "23.8,31.4"
	attribute VIP_mwrscan_tb_noise = "0.3,0.3"
	attribute VIP_mwrscan_time_delta = 0.25
	attribute VIP_mwrscan_type = 0
	attribute VIP_nudge_PBL_height = 0.5
	attribute VIP_output_clobber = 0
	attribute VIP_output_file_keep_small = 0
	attribute VIP_output_path = "/data/reprocessing/tracer/sparc/processed/sparctropoe10.aeri.v1.C1/"
	attribute VIP_output_rootname = "clampstropoe10.aeri.v2.C1"
	attribute VIP_path_std_atmos = "/home/tropoe/vip/src/input/idl_code/std_atmosphere.idl"
	attribute VIP_prior_ch4_mn = 1.793, 0.0, -5.0
	attribute VIP_prior_ch4_sd = 0.0538, 0.0015, 3.0
	attribute VIP_prior_chimney_ht = 0.0
	attribute VIP_prior_co2_mn = 418.57266908319446, 5.0, -5.0
	attribute VIP_prior_co2_sd = 2.0, 15.0, 3.0
	attribute VIP_prior_iReff_mn = 25.0
	attribute VIP_prior_iReff_sd = 8.0
	attribute VIP_prior_itau_mn = 0.0
	attribute VIP_prior_itau_sd = 5.0
	attribute VIP_prior_lReff_mn = 8.0
	attribute VIP_prior_lReff_sd = 4.0
	attribute VIP_prior_lwp_mn = 0.0
	attribute VIP_prior_lwp_sd = 50.0
	attribute VIP_prior_n2o_mn = 0.31, 0.0, -5.0
	attribute VIP_prior_n2o_sd = 0.0093, 0.0, 3.0
	attribute VIP_prior_q_iht = 1.0
	attribute VIP_prior_q_ival = 1.0
	attribute VIP_prior_t_iht = 1.0
	attribute VIP_prior_t_ival = 1.0
	attribute VIP_prior_tq_cov_val = 1.0
	attribute VIP_qc_rms_value = 10.0
	attribute VIP_rass_noise_adder_hts = 0.0, 3.0, 20.0
	attribute VIP_rass_noise_adder_val = 0.0, 0.0, 0.0
	attribute VIP_rass_prof_maxht = 5.0
	attribute VIP_rass_prof_minht = 0.0
	attribute VIP_rass_prof_path = "None"
	attribute VIP_rass_prof_type = 0
	attribute VIP_rass_time_delta = 2.5
	attribute VIP_recenter_prior = 1
	attribute VIP_recenter_prior_input = 0
	attribute VIP_retrieve_ch4 = 0
	attribute VIP_retrieve_co2 = 0
	attribute VIP_retrieve_icloud = 0
	attribute VIP_retrieve_lcloud = 1
	attribute VIP_retrieve_n2o = 0
	attribute VIP_retrieve_temp = 1
	attribute VIP_retrieve_wvmr = 1
	attribute VIP_spectral_bands = "612.0-618.0,624.0-660.0,674.0-713.0,713.0-722.0,538.0-588.0,860.1-864.0,872.2-877.5,898.2-905.4"
	attribute VIP_station_alt = 14.0
	attribute VIP_station_lat = 29.5319
	attribute VIP_station_lon = -95.28382
	attribute VIP_station_pres = 1000.0
	attribute VIP_station_psfc_max = 1030.0
	attribute VIP_station_psfc_min = 800.0
	attribute VIP_success = 1
	attribute VIP_superadiabatic_maxht = 0.3
	attribute VIP_tag = "tracer2022"
	attribute VIP_tres = 10
	attribute algorithm_author = "Dave Turner, Global Systems Laboratory / NOAA (dave.turner@noaa.gov)"
	attribute algorithm_code = "TROPoe Retrieval Code (formerly AERIoe)"
	attribute algorithm_code_version = "0.6.20"
	attribute algorithm_comment1 = "TROPoe is a physical-iterative algorithm that retrieves thermodynamic profiles from a wide range of ground-based remote sensors.  It was primarily designed to use either infrared spectrometers or microwave radiometers as the primary instrument, and include observations from other sources to improve the quality of the retrieved profiles"
	attribute algorithm_comment2 = "Original code was written in IDL and is described by the \"AERIoe\" papers listed below"
	attribute algorithm_comment3 = "Code was ported to python by Joshua Gebauer with contributions from Tyler Bell (both at the University of Oklahoma)"
	attribute algorithm_package_version = "TROPoe-0.6.ddt4"
	attribute algorithm_reference1 = "DD Turner and U Loehnert, 2014: Information Content and Uncertanties in Thermodynamic Profiles and Liquid Cloud Properties Retrieved from the Ground-Based Atmospheric Emitted Radiance Interferometer (AERI), J Appl Met Clim, vol 53, pp 752-771, doi:10.1175/JAMC-D-13-0126.1"
	attribute algorithm_reference2 = "DD Turner and WG Blumberg, 2019: Improvements to the AERIoe thermodynamic profile retrieval algorithm. IEEE Selected Topics Appl. Earth Obs. Remote Sens., 12, 1339-1354, doi:10.1109/JSTARS.2018.2874968"
	attribute algorithm_reference3 = "DD Turner and U Loehnert, 2021: Ground-based temperature and humidity profiling: Combining active and passive remote sensors, Atmos. Meas. Tech., vol 14, pp 3033-3048, doi:10.5194/amt-14-3033-2021"
	attribute datafile_created_on_date = "2023-04-04 03:40:28"
	attribute datafile_created_on_machine = "x86_64"
	attribute forward_model_reference1 = "The forward radiative transfer models are from Atmospheric and Environmental Research Inc (AER); an overview is provided by Clough et al., 2005: Atmospheric radiative transfer modeling: A summary of the AER codes, JQSRT, vol 91, pp 233-244, doi:10.1016/j.jqsrt.2004.05.058"
	attribute forward_model_reference2 = "The infrared model is LBLRTM; papers describing this model include doi:10.1029/2018JD029508, doi:10.1175/amsmonographs-d-15-0041.1, and doi:10.1098/rsta.2011.0295"
	attribute forward_model_reference3 = "The microwave model is MonoRTM; papers describing this model include doi:10.1109/TGRS.2010.2091416 and doi:10.1109/TGRS.2008.2002435"
	attribute vip_tres = "10 minutes. Note that the sample time corresponds to the center of the averaging intervale. A value of 0 implies that no averaging was performed"
dataset /Akernal: float32, shape (136, 123, 123)
	attribute long_name = "Averaging kernal"
	attribute units = "mixed units -- see field arb above"
dataset /Sa: float32, shape (123, 123)
	attribute long_name = "Prior covariance"
	attribute units = "mixed units -- see field arb above"
dataset /Sop: float32, shape (136, 123, 123)
	attribute long_name = "Covariance matrix of the solution"
	attribute units = "mixed units -- see field arb above"
dataset /Xa: float32, shape (123)
	attribute long_name = "Prior mean state"
	attribute units = "mixed units -- see field arb above"
dataset /Xop: float32, shape (136, 123)
	attribute long_name = "Optimal solution"
	attribute units = "mixed units -- see field arb above"
dataset /alt: float32, shape ()
	attribute long_name = "Altitude"
	attribute units = "m above MSL"
dataset /arb: int16, shape (123)
	attribute comment = "contains temeprature profile (1), water vapor profile (2) liquid cloud path (3), liquid water Reff (4), ice cloud optical depth (5), ice cloud Reff (6), carbon dioxide (7) methane (8), nitrous oxide (9)"
	attribute long_name = "Arbitrary dimension"
	attribute units = "mixed units"
// arb: first 1, last 9, count 123
dataset /base_time: int32, shape ()
	attribute long_name = "Epoch time"
	attribute units = "Seconds since 1970/01/01 00:00:00 UTC"
dataset /cbh: float32, shape (136)
	attribute long_name = "Cloud base height"
	attribute units = "km AGL"
dataset /cbh_flag: int16, shape (136)
	attribute comment1 = "Value 0 implies Clear Sky radiance"
	attribute comment2 = "Value 1 implies Inner Window radiance"
	attribute comment3 = "Value 2 implies Outer Window radiance"
	attribute comment4 = "Value 3 implies Default CBH radiance"
	attribute long_name = "Flag indicating the source of the cbh"
	attribute units = "unitless"
dataset /cdfs_temperature: float32, shape (136, 55)
	attribute long_name = "Vertical profile of the cumulative degrees of freedom of signal for temperature"
	attribute units = "unitless"
dataset /cdfs_waterVapor: float32, shape (136, 55)
	attribute long_name = "Vertical profile of the cumulative degrees of freedom of signal for water vapor"
	attribute units = "unitless"
dataset /ch4: float32, shape (136, 3)
	attribute long_name = "Methane concentration"
	attribute units = "ppm"
dataset /chi2: float32, shape (136)
	attribute comment = "Computed as sqrt( sum_over_i[ ((Y_i - F(Xn_i)) / Y_i)^2 ] / sizeY)"
	attribute long_name = "Chi-square statistic of Y vs. F(Xn)"
	attribute units = "unitless"
dataset /co2: float32, shape (136, 3)
	attribute long_name = "Carbon dioxide concentration"
	attribute units = "ppm"
dataset /converged_flag: int16, shape (136)
	attribute long_name = "Convergence flag"
	attribute units = "unitless"
	attribute value_0 = "0 indicates no convergence"
	attribute value_1 = "1 indicates convergence in Rodgers sense (i.e., di2m << dimY)"
	attribute value_2 = "2 indicates convergence (best rms after rms increased drastically"
	attribute value_3 = "3 indicates convergence (best rms after max_iter)"
	attribute value_9 = "9 indicates found NaN in Xnp1"
dataset /convergence_criteria: float32, shape (136)
	attribute long_name = "Convergence criteria di^2"
	attribute units = "unitless"
dataset /dewpt: float32, shape (136, 55)
	attribute comment = "This field is derived from the retrieved fields"
	attribute long_name = "Dew point temperature"
	attribute units = "C"
dataset /dfs: float32, shape (136, 16)
	attribute comment = "total DFS, then DFS for each of temperature, waterVapor, LWP, L_Reff, I_tau, I_Reff, carbonDioxide, methane, nitrousOxide"
	attribute long_name = "Degrees of freedom of signal"
	attribute units = "unitless"
dataset /dfs_dim: float32, shape (16)
dataset /dindices: float32, shape (136, 5)
	attribute comment0 = "This field is derived from the retrieved fields"
	attribute comment1 = "A value of -999 indicates that this inded could not be computed (typically because the value was aphysical)"
	attribute field_0_name = "pwv"
	attribute field_0_units = "cm"
	attribute field_1_name = "pblh"
	attribute field_1_units = "km AGL"
	attribute field_2_name = "sbih"
	attribute field_2_units = "km AGL"
	attribute field_3_name = "sbim"
	attribute field_3_units = "C"
	attribute field_4_name = "lcl"
	attribute field_4_units = "km AGL"
	attribute long_name = "Derived indices"
	attribute units = "units depends on the index; see comments below"
dataset /forward_calc: float32, shape (136, 358)
	attribute long_name = "Forward calculation from state vector (i.e., F(Xn))"
	attribute units = "mixed units -- see obs_flag field above"
dataset /gamma: float32, shape (136)
	attribute long_name = "Gamma parameter"
	attribute units = "unitless"
dataset /gas_dim: float32, shape (3)
dataset /hatchOpen: int16, shape (136)
	attribute comment = "1 - hatch open, 0 - hatch closed, other values indicate hatch is either not working or indeterminant"
	attribute long_name = "Flag indicating if the IRSs hatch was open"
	attribute units = "unitless"
dataset /height: float32, shape (55)
	attribute long_name = "Height"
	attribute units = "km AGL"
// height: first 0.0, last 17.0872192, count 55
dataset /hour: float64, shape (136)
	attribute long_name = "Time"
	attribute units = "Hours from 00:00 UTC"
dataset /iReff: float32, shape (136)
	attribute long_name = "Ice effective radius"
	attribute units = "microns"
dataset /iTau: float32, shape (136)
	attribute long_name = "Ice cloud optical depth (geometric limit)"
	attribute units = "unitless"
dataset /index_dim: float32, shape (5)
dataset /lReff: float32, shape (136)
	attribute long_name = "Liquid water effective radius"
	attribute units = "microns"
dataset /lat: float32, shape ()
	attribute long_name = "Latitude"
	attribute units = "degrees north"
dataset /lon: float32, shape ()
	attribute long_name = "Longitude"
	attribute units = "degrees east"
dataset /lwp: float32, shape (136)
	attribute long_name = "Liquid water path"
	attribute units = "g/m2"
dataset /n2o: float32, shape (136, 3)
	attribute long_name = "Nitrous oxide concentration"
	attribute units = "ppm"
dataset /n_iter: int16, shape (136)
	attribute long_name = "Number of iterations performed"
	attribute units = "unitless"
dataset /obs_dim: float64, shape (358)
	attribute long_name = "Dimension of the observation vector"
	attribute units = "mixed units -- see obs_flag field above"
// obs_dim: first 538.0762939453125, last 17.08721923828125, count 358
dataset /obs_flag: int16, shape (358)
	attribute long_name = "Flag indicating type of observation for each vector element"
	attribute units = "mixed units -- see comments below"
	attribute value_01 = "cm^(-1) (i.e., wavenumber)"
	attribute value_05 = "Surface met temeprature in C from ARM met station"
	attribute value_05_comment1 = "Surface met station is 2 m above height=0 level"
	attribute value_05_comment2 = "Adding 1.0 C to uncertainty to account for representativeness error"
	attribute value_06 = "Surface met water vapor in g/kg from ARM met station"
	attribute value_06_comment1 = "Surface met station is 2 m above height=0 level"
	attribute value_06_comment2 = "Adding 1.0 g/kg to uncertainty to account for representativeness error"
	attribute value_07 = "Temperature in C from NWP model output from RUC/RAP (NCEI THREDDS) at 29.565520482160146 degN, -95.28006664465123 degE"
	attribute value_08 = "Water vapor in g/kg from NWP model output from RUC/RAP (NCEI THREDDS) at 29.565520482160146 degN, -95.28006664465123 degE"
dataset /obs_vector: float32, shape (136, 358)
	attribute long_name = "Observation vector Y"
	attribute units = "mixed units -- see obs_flag field above"
dataset /obs_vector_uncertainty: float32, shape (136, 358)
	attribute long_name = "1-sigma uncertainty in the observation vector (sigY)"
	attribute units = "mixed units -- see obs_flag field above"
dataset /pressure: float32, shape (136, 55)
	attribute comment = "derived from IRS surface pressure observations and the hyposmetric calculation using the thermodynamic profiles"
	attribute long_name = "Derived pressure"
	attribute units = "mb"
dataset /qc_flag: int16, shape (136)
	attribute RMS_threshold_used_for_QC = "10.0 [unitless]"
	attribute comment = "value of 0 implies quality is ok; non-zero values indicate that the sample has suspect quality"
	attribute long_name = "Manual QC flag"
	attribute units = "unitless"
	attribute value_1 = "Implies hatch was not open for full observing period"
	attribute value_2 = "Implies retrieval did not converge"
	attribute value_3 = "Implies retrieval converged but RMS between the observed and computed spectrum is too large"
dataset /rh: float32, shape (136, 55)
	attribute comment = "This field is derived from the retrieved field"
	attribute long_name = "Relative humidity"
	attribute units = "%"
dataset /rmsa: float32, shape (136)
	attribute comment1 = "Computed as sqrt( sum_over_i[ ((Y_i - F(Xn_i)) / Y_i)^2 ] / sizeY)"
	attribute comment2 = "Entire observation vector used in this calculation"
	attribute long_name = "Root mean square error between observation vector and the forward calculation"
	attribute units = "unitless"
dataset /rmsp: float32, shape (136)
	attribute comment1 = "Computed as sqrt( mean[ ((Xa - Xn) / sigma_Xa)^2 ] )"
	attribute long_name = "Root mean square error between prior T/q profile and the retrieved T/q profile"
	attribute units = "unitless"
dataset /rmsr: float32, shape (136)
	attribute comment1 = "Computed as sqrt( sum_over_i[ ((Y_i - F(Xn_i)) / Y_i)^2 ] / sizeY)"
	attribute comment2 = "Only IRS radiance observations in the observation vector are used"
	attribute long_name = "Root mean square error between IRS and MWR obs in the observation vector and the forward calculation"
	attribute units = "unitless"
dataset /sic: float32, shape (136)
	attribute long_name = "Shannon information content"
	attribute units = "unitless"
dataset /sigma_ch4: float32, shape (136, 3)
	attribute long_name = "1-sigma uncertainty in methane concentration"
	attribute units = "ppm"
dataset /sigma_co2: float32, shape (136, 3)
	attribute long_name = "1-sigma uncertainty in carbon dioxide concentration"
	attribute units = "ppm"
dataset /sigma_dindices: float32, shape (136, 5)
	attribute comment1 = "This field is derived fro mthe retrieved fields"
	attribute comment2 = "The uncertainties were determined using a monte carlo sampling of the posterior covariance matrix"
	attribute comment3 = "A value of -999 indicates that the uncertainty in this inded could not be computed (typically because the values were all unphysical)"
	attribute long_name = "1-sigma uncertainties in the derived indices"
	attribute units = "units depend on the index, see the field above "
dataset /sigma_iReff: float32, shape (136)
	attribute long_name = "1-sigma uncertainty in ice effective radius"
	attribute units = "microns"
dataset /sigma_iTau: float32, shape (136)
	attribute long_name = "1-sigma uncertainty in ice cloud optical depth (geometric limit)"
	attribute units = "unitless"
dataset /sigma_lReff: float32, shape (136)
	attribute long_name = "1-sigma uncertainty in liquid water effective radius"
	attribute units = "microns"
dataset /sigma_lwp: float32, shape (136)
	attribute long_name = "1-sigma uncertainty in liquid water path"
	attribute units = "g/m2"
dataset /sigma_n2o: float32, shape (136, 3)
	attribute long_name = "1-sigma uncertaintiy in nitrous oxide concentration"
	attribute units = "ppm"
dataset /sigma_temperature: float32, shape (136, 55)
	attribute long_name = "1-sigma uncertainty in temperature"
	attribute units = "C"
dataset /sigma_waterVapor: float32, shape (136, 55)
	attribute long_name = "1-sigma uncertainty in water vapor mixing vapor"
	attribute units = "g/kg"
dataset /temperature: float32, shape (136, 55)
	attribute long_name = "Temperature"
	attribute units = "C"
dataset /theta: float32, shape (136, 55)
	attribute comment = "This field is derived from the retrieved fields"
	attribute long_name = "Potential temperature"
	attribute units = "K"
dataset /thetae: float32, shape (136, 55)
	attribute comment = "This field is derived from the retrieved fields"
	attribute long_name = "Equivalent potential temperature"
	attribute units = "K"
dataset /time: float64, shape (136)
	attribute long_name = "Time"
	attribute units = "Seconds from 00:00 UTC"
dataset /time_offset: float64, shape (136)
	attribute long_name = "Time offset from base_time"
	attribute units = "Seconds"
dataset /vres_temperature: float32, shape (136, 55)
	attribute long_name = "Vertical resolution of the temperature profile"
	attribute units = "km"
dataset /vres_waterVapor: float32, shape (136, 55)
	attribute long_name = "Vertical resolution of the water vapor profile"
	attribute units = "km"
dataset /waterVapor: float32, shape (136, 55)
	attribute long_name = "Water vapor mixing ratio"
	attribute units = "g/kg"