SCIAMACHY_L2_LIMB_UV1_NO2
Variables
The table below lists the variables that are present in the HARP product that results from an ingestion of SCIAMACHY_L2_LIMB_UV1_NO2
data.
field name 
type 
dimensions 
unit 
description 

datetime_start 
double 
{time} 
[seconds since 20000101] 
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 
NO2_volume_mixing_ratio 
double 
{time, vertical} 
[ppv] 
NO2 volume mixing ratio 
NO2_volume_mixing_ratio_uncertainty 
double 
{time, vertical} 
[ppv] 
error on the NO2 volume mixing ratio 
NO2_volume_mixing_ratio_avk 
double 
{time, vertical, vertical} 
[] 
averaging kernel on the NO2 volume mixing ratio 
NO2_number_density 
double 
{time, vertical} 
[molec/cm^3] 
NO2 number density 
NO2_number_density_uncertainty 
double 
{time, vertical} 
[molec/cm^3] 
error on the NO2 number density 
NO2_number_density_apriori 
double 
{time, vertical} 
[molec/cm^3] 
a priori NO2 number density profile 
NO2_number_density_avk 
double 
{time, vertical, vertical} 
[(molec/cm^3)/(molec/cm^3)] 
averaging kernel on the NO2 number density 
index 
int32 
{time} 
zerobased 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_uv1_no2
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 onetoone 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_uv1_no2[]/integr_time 
orbit_index 
path 
/mph/abs_orbit 
altitude_bounds 
path 
/lim_uv1_no2[]/tangent_height[] 
description 
the tangent heights are the lower bound altitudes; for the top of the highest layer a TOA value of 100km is used 

pressure_bounds 
path 
/lim_uv1_no2[]/tangent_pressure[] 
description 
the tangent pressures are the lower bound pressures; for the top of the highest layer a pressure value of 3.2e4 hPa is used 

latitude 
path 
/geolocation_limb[]/tangent_coord[1]/latitude 
description 
records in geolocation_limb do not have a onetoone 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 onetoone 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 onetoone 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 onetoone 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 onetoone 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_uv1_no2[]/tangent_temp[] 
NO2_volume_mixing_ratio 
path 
/lim_uv1_no2[]/main_species[,0]/tang_vmr 
NO2_volume_mixing_ratio_uncertainty 
path 
/lim_uv1_no2[]/main_species[,0]/err_tang_vmr, /lim_uv1_no2[]/main_species[,0]/tang_vmr 
description 
relative error is converted to absolute error by multiplying with measured value 

NO2_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_uv1_no2[]/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 

NO2_number_density 
available 
optional 
condition 
additional diagnostics vector in limb DSR is long enough to contain number density and AKM information 

path 
/lim_uv1_no2[]/main_species[,0]/add_diag[0..n] 

NO2_number_density_uncertainty 
available 
optional 
condition 
additional diagnostics vector in limb DSR is long enough to contain number density and AKM information 

path 
/lim_uv1_no2[]/main_species[,0]/err_tang_vmr, /lim_uv1_no2[]/main_species[,0]/add_diag[0..n] 

description 
relative error is converted to absolute error by multiplying with measured value 

NO2_number_density_apriori 
available 
optional 
condition 
additional diagnostics vector in limb DSR is long enough to contain number density and AKM information 

path 
/lim_uv1_no2[]/main_species[,0]/add_diag[0..n] 

NO2_number_density_avk 
available 
optional 
condition 
additional diagnostics vector in limb DSR is long enough to contain number density and AKM information 

path 
/lim_uv1_no2[]/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 