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 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

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}

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_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 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_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 3.2e-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_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