SCIAMACHY_L2_LIMB_UV0_O3

Variables

The table below lists the variables that are present in the HARP product that results from an ingestion of SCIAMACHY_L2_LIMB_UV0_O3 data.

field name type dimensions unit description
datetime_start double {time} [seconds since 2000-01-01] measurement start time for each profile
datetime_length double {time} [s] measurement integration time
orbit_index int32     absolute orbit number
altitude_bounds double {time, vertical, 2} [km] altitude bounds for each profile point
pressure_bounds double {time, vertical, 2} [hPa] pressure bounds for each profile point
latitude double {time} [degree_north] tangent latitude of the vertically mid profile point
longitude double {time} [degree_east] tangent longitude of the vertically mid profile point
solar_zenith_angle double {time} [degree] solar zenith angle at top of atmosphere for the middle most profile point
viewing_zenith_angle double {time} [degree] line of sight zenith angle at top of atmosphere for the middle most profile point
relative_azimuth_angle double {time} [degree] relative azimuth angle at top of atmosphere for the middle most profile point
temperature double {time, vertical} [K] temperature for each profile point
O3_volume_mixing_ratio double {time, vertical} [] ozone volume mixing ratio
O3_volume_mixing_ratio_uncertainty double {time, vertical} [] error on the ozone volume mixing ratio
O3_volume_mixing_ratio_avk double {time, vertical, vertical} [] averaging kernel on the ozone volume mixing ratio
O3_number_density double {time, vertical} [molec/cm^3] ozone number density
O3_number_density_uncertainty double {time, vertical} [molec/cm^3] error on the ozone number density
O3_number_density_apriori double {time, vertical} [molec/cm^3] a priori ozone number density profile
O3_number_density_avk double {time, vertical, vertical} [(molec/cm^3)/(molec/cm^3)] averaging kernel on the ozone number density
index int32 {time}   zero-based index of the sample within the source product

Ingestion options

The table below lists the available ingestion options for SCIAMACHY_L2 products.

option name legal values description
dataset nad_uv0_o3, nad_uv1_no2, nad_uv3_bro, nad_uv4_h2co, nad_uv5_so2, nad_uv6_oclo, nad_uv7_so2, nad_uv8_h2o, nad_uv9_chocho, nad_ir0_h2o, nad_ir1_ch4, nad_ir2_n2o, nad_ir3_co, nad_ir4_co2, lim_uv0_o3, lim_uv1_no2, lim_uv3_bro, clouds_aerosol the dataset of the L2 product to ingest; each dataset is a combination of nadir/limb choice, retrieval window, and main quantity; option values are ‘nad_uv0_o3’ (default), ‘nad_uv1_no2’, ‘nad_uv3_bro’, ‘nad_uv4_h2co’, ‘nad_uv5_so2’, ‘nad_uv6_oclo’, ‘nad_uv7_so2’, ‘nad_uv8_h2o’, ‘nad_uv9_chocho’, ‘nad_ir0_h2o’, ‘nad_ir1_ch4’, ‘nad_ir2_n2o’, ‘nad_ir3_co’, ‘nad_ir4_co2’, ‘lim_uv0_o3’, ‘lim_uv1_no2’, ‘lim_uv3_bro’, ‘clouds_aerosol’

This definition is only applicable when: dataset=lim_uv0_o3

Mapping description

The table below details where and how each variable was retrieved from the input product.

field name mapping description
datetime_start path /geolocation_limb[]/dsr_time
description records in geolocation_limb do not have a one-to-one mapping with records in the limb/occultation measurement datasets; HARP uses a single measurement time and tangent location per profile which is taken from the middlemost measurement used for the retrieval (i.e. index = (n_meas - 1) / 2); the geolocation record for this measurement is retrieved by matching the measurement time measurement_grid[(n_meas - 1) / 2].dsr_time with the geolocation record time geolocation_limb[]/dsr_time
datetime_length path /lim_uv0_o3[]/integr_time
orbit_index path /mph/abs_orbit
altitude_bounds path /lim_uv0_o3[]/tangent_height[]
description the tangent heights are the lower bound altitudes; for the top of the heighest layer a TOA value of 100km is used
pressure_bounds path /lim_uv0_o3[]/tangent_pressure[]
description the tangent pressures are the lower bound pressures; for the top of the heighest layer a pressure value of 3.2e-4 hPa is used
latitude path /geolocation_limb[]/tangent_coord[1]/latitude
description records in geolocation_limb do not have a one-to-one mapping with records in the limb/occultation measurement datasets; HARP uses a single measurement time and tangent location per profile which is taken from the middlemost measurement used for the retrieval (i.e. index = (n_meas - 1) / 2); the geolocation record for this measurement is retrieved by matching the measurement time measurement_grid[(n_meas - 1) / 2].dsr_time with the geolocation record time geolocation_limb[]/dsr_time
longitude path /geolocation_limb[]/tangent_coord[1]/longitude
description records in geolocation_limb do not have a one-to-one mapping with records in the limb/occultation measurement datasets; HARP uses a single measurement time and tangent location per profile which is taken from the middlemost measurement used for the retrieval (i.e. index = (n_meas - 1) / 2); the geolocation record for this measurement is retrieved by matching the measurement time measurement_grid[(n_meas - 1) / 2].dsr_time with the geolocation record time geolocation_limb[]/dsr_time
solar_zenith_angle path /geolocation_limb[]/sol_zen_angle_toa[1]
description records in geolocation_limb do not have a one-to-one mapping with records in the limb/occultation measurement datasets; HARP uses a single measurement time and tangent location per profile which is taken from the middlemost measurement used for the retrieval (i.e. index = (n_meas - 1) / 2); the geolocation record for this measurement is retrieved by matching the measurement time measurement_grid[(n_meas - 1) / 2].dsr_time with the geolocation record time geolocation_limb[]/dsr_time
viewing_zenith_angle path /geolocation_limb[]/los_zen_angle_toa[1]
description records in geolocation_limb do not have a one-to-one mapping with records in the limb/occultation measurement datasets; HARP uses a single measurement time and tangent location per profile which is taken from the middlemost measurement used for the retrieval (i.e. index = (n_meas - 1) / 2); the geolocation record for this measurement is retrieved by matching the measurement time measurement_grid[(n_meas - 1) / 2].dsr_time with the geolocation record time geolocation_limb[]/dsr_time
relative_azimuth_angle path /geolocation_limb[]/rel_azi_angle_toa[1]
description records in geolocation_limb do not have a one-to-one mapping with records in the limb/occultation measurement datasets; HARP uses a single measurement time and tangent location per profile which is taken from the middlemost measurement used for the retrieval (i.e. index = (n_meas - 1) / 2); the geolocation record for this measurement is retrieved by matching the measurement time measurement_grid[(n_meas - 1) / 2].dsr_time with the geolocation record time geolocation_limb[]/dsr_time
temperature path /lim_uv0_o3[]/tangent_temp[]
O3_volume_mixing_ratio path /lim_uv0_o3[]/main_species[,0]/tang_vmr
O3_volume_mixing_ratio_uncertainty path /lim_uv0_o3[]/main_species[,0]/err_tang_vmr, /lim_uv0_o3[]/main_species[,0]/tang_vmr
description relative error is converted to absolute error by multiplying with measured value
O3_volume_mixing_ratio_avk available optional
condition additional diagnostics vector in limb DSR is long enough to contain number density and AKM information
path /lim_uv0_o3[]/main_species[,0]/add_diag[0..n]
description the AVK for partial columns as given in the add_diag vector at position 2+stvec+2*n1*num_altitudes+2*num_altitudes is converted to volume mixing ratio units by multiplying each element with conv_mix_i/conv_mix_j, where conv_mix is found in add_diag at position 2+stvec+2*n1*num_altitudes; the vertical axis of the AVK are reversed
O3_number_density available optional
condition additional diagnostics vector in limb DSR is long enough to contain number density and AKM information
path /lim_uv0_o3[]/main_species[,0]/add_diag[0..n]
O3_number_density_uncertainty available optional
condition additional diagnostics vector in limb DSR is long enough to contain number density and AKM information
path /lim_uv0_o3[]/main_species[,0]/err_tang_vmr, /lim_uv0_o3[]/main_species[,0]/add_diag[0..n]
description relative error is converted to absolute error by multiplying with measured value
O3_number_density_apriori available optional
condition additional diagnostics vector in limb DSR is long enough to contain number density and AKM information
path /lim_uv0_o3[]/main_species[,0]/add_diag[0..n]
O3_number_density_avk available optional
condition additional diagnostics vector in limb DSR is long enough to contain number density and AKM information
path /lim_uv0_o3[]/main_species[,0]/add_diag[0..n]
description the AVK for partial columns as given in the add_diag vector at position 2+stvec+2*n1*num_altitudes+2*num_altitudes is converted to number density units by multiplying each element with conv_nd_i/conv_nd_j, where conv_nd is found in add_diag at position 2+stvec+2*n1*num_altitudes+num_altitudes; the vertical axis of the AVK are reversed