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Dataset

 

RAL extended Infrared Microwave Sounder (IMS) retrievals of atmospheric and surface properties: subset of four selected months in 2018 from Suomi-NPP, v1

Latest Data Update: 2021-12-14
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-12-16
DOI Publication Date: 2021-12-16
Download Stats: last 12 months
Dataset Size: 28.61K Files | 872GB
  Citations: 1
Abstract

The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounds of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave.

Column amounts of the following minor gases are retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).

The retrieval scheme has been applied to the infra-red and microwave sounders on platforms Metop (IASI, AMSU and MHS) and Suomi-NPP (CrIS and ATMS). The data sub-set provided here comprises four months (April, July, September, December) of Suomi-NPP data in 2018 produced with the horizontal sampling of CrIS, ~18x18 km.

Development of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme and production of this Suomi-NPP data sub-set were funded through NCEO. Data were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).”

Citable as:  Siddans, R.; Ventress, L.; Knappett, D.; Kerridge, B. (2021): RAL extended Infrared Microwave Sounder (IMS) retrievals of atmospheric and surface properties: subset of four selected months in 2018 from Suomi-NPP, v1. NERC EDS Centre for Environmental Data Analysis, 16 December 2021. doi:10.5285/5aa32fb863a048f0b24c541639cfd990. https://dx.doi.org/10.5285/5aa32fb863a048f0b24c541639cfd990
Cite this dataset

Abbreviation: Not defined
Keywords: RAL, IMS, atmospheric and surface properties, Suomi-NPP

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Use of these data is covered by the following licence(s):
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Development of the IMS scheme and data production were funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH
Data Quality:
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
Data are in NetCDF format

Related Documents

 WV_cci ATBD Part 2 - IMS L2 Product

Citations: 1

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Palmer, P.I., Marvin, M.R., Siddans, R., Kerridge, B.J. & Moore, D.P. (2022) Nocturnal survival of isoprene linked to formation of upper tropospheric organic aerosol. Science 375, 562–566. https://doi.org/10.1126/science.abg4506 https://doi.org/10.1126/science.abg4506

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

CrIS Deployed on: SNPP

Computation Element: 1

Title RAL extended Infrared Microware Sounder IMS retrieval scheme
Abstract For information on the RAL extended Infrared Microwave Sounder (IMS) retrieval scheme see the ATBD in the linked docmentation
Input Description None
Output Description None
Software Reference None
Output Description

None
  • units: 1
  • var_id: ixt
  • long_name: Across-track index.
  • units: 1
  • var_id: iat
  • long_name: Along-track index.
  • units: 1
  • var_id: iclass
  • long_name: Assumed cloud type: -1=black body; 0=possible boundary layer cloud; 2=liquid/clear; 2=ice; 3=dust.
  • units: hPa
  • var_id: sp
  • long_name: Assumed surface pressure in retrieval
  • units: 1
  • var_id: ak_t
  • long_name: Atmospheric temperature averaging kernel.
  • units: K
  • var_id: btd
  • long_name: Brightness temperature difference between observed and simulated measurements for first guess state, in a window channel at 955.25 cm-1
  • units: K
  • var_id: btds
  • long_name: Brightness temperature difference spectra between observed and simulated measurements for first guess state
  • units: 1
  • var_id: ak_c
  • long_name: Carbon monoxide averaging kernel.
  • units: K
  • var_id: t_ap
  • long_name: Climatological prior for atmospheric temperature.
  • units: ln(ppmv)
  • var_id: c_ap
  • long_name: Climatological prior for natural logarithm of carbon monoxide mixing ratio in pats per million by volumne.
  • units: ln(ppmv)
  • var_id: m_ap
  • long_name: Climatological prior for natural logarithm of methane mixing ratio in pats per million by volumne.
  • var_id: o_ap
  • long_name: Climatological prior for natural logarithm of ozone mixing ratio in pats per million by volumne.
  • units: ln(ppmv)
  • units: ln(ppmv)
  • var_id: w_ap
  • long_name: Climatological prior for natural logaritm of water vapour mixing ratio in parts per million by volume.
  • units: K
  • var_id: tsk_ap
  • long_name: Climatological prior for surface temperature.
  • units: day
  • var_id: sensingtime_day
  • long_name: Day of measurement since 00:00h 01-01-2000.
  • units: 1
  • var_id: bcf_dofs
  • long_name: Degrees of Freedom for Bias Correction Factors.
  • units: 1
  • var_id: c_dofs
  • long_name: Degrees of Freedom for Signal of carbon monoxide
  • units: 1
  • var_id: cfr_dofs
  • long_name: Degrees of Freedom for Signal of cloud fraction.
  • units: 1
  • var_id: m_dofs
  • long_name: Degrees of Freedom for Signal of methane
  • units: 1
  • var_id: o_dofs
  • long_name: Degrees of Freedom for Signal of ozone
  • units: 1
  • var_id: em_dofs
  • long_name: Degrees of Freedom for Signal of surface emissivity
  • units: 1
  • var_id: t_dofs
  • long_name: Degrees of Freedom for Signal of temperature
  • units: 1
  • var_id: w_dofs
  • long_name: Degrees of Freedom for Signal of water vapour
  • units: 1
  • var_id: tsk_dofs
  • long_name: Degrees of Freedom for Surface Temperature.
  • units: 1
  • var_id: mgf_dofs
  • long_name: Degrees of Freedom for minor gas scale factors.
  • units: 1
  • var_id: alh_dofs
  • long_name: Degrees of freedom for signal of aerosol layer height.
  • units: 1
  • var_id: aot_dofs
  • long_name: Degrees of freedom for signal of aerosol optical thickness.
  • units: 1
  • var_id: cre_dofs
  • long_name: Degrees of freedom for signal of cloud effective radius.
  • units: 1
  • var_id: cot_dofs
  • long_name: Degrees of freedom for signal of cloud optical thickness.
  • units: 1
  • var_id: cth_dofs
  • long_name: Degrees of freedom for signal of cloud top height.
  • units: m/s
  • var_id: u
  • long_name: Eastward 10m wind component
  • units: 1
  • var_id: evecs_t
  • long_name: Eigenvectors to reconstruct atmospheric temperature profile from principal component weights.
  • units: 1
  • var_id: evecs_w
  • long_name: Eigenvectors to reconstruct atmospheric water vapour profile from principal component weights.
  • units: 1
  • var_id: evecs_c
  • long_name: Eigenvectors to reconstruct carbon monoxide profile from principal component weights.
  • units: 1
  • var_id: evecs_m
  • long_name: Eigenvectors to reconstruct methane profile from principal component weights.
  • units: 1
  • var_id: evecs_o
  • long_name: Eigenvectors to reconstruct ozone profile from principal component weights.
  • units: K
  • standard_name: air_temperature
  • var_id: t_err
  • long_name: Error in retrieved atmospheric temperature profile.
  • units: 1
  • var_id: c_err
  • long_name: Error in retrieved natural logarithm of the atmospheric carbon monoxide profile.
  • units: 1
  • var_id: m_err
  • long_name: Error in retrieved natural logarithm of the atmospheric methane profile.
  • units: 1
  • var_id: o_err
  • long_name: Error in retrieved natural logarithm of the atmospheric ozone profile.
  • units: 1
  • var_id: w_err
  • long_name: Error in retrieved natural logarithm of the atmospheric water vapour profile.
  • units:
  • var_id: mgf_err
  • long_name: Estimated error on minor gas scale factor.
  • units: km
  • var_id: alh_err
  • long_name: Estimated error on retrieved aerosol layer height.
  • units: 1
  • var_id: aot_err
  • long_name: Estimated error on retrieved aerosol optical thickness.
  • units:
  • var_id: bcf_err
  • long_name: Estimated error on retrieved bias correction factors.
  • units: 1
  • var_id: cre_err
  • long_name: Estimated error on retrieved cloud effective radius.
  • units: 1
  • var_id: cfr_err
  • long_name: Estimated error on retrieved cloud fraction.
  • units: 1
  • var_id: cot_err
  • long_name: Estimated error on retrieved cloud optical thickness.
  • units: km
  • var_id: cth_err
  • long_name: Estimated error on retrieved cloud top height.
  • units: 1
  • var_id: em_err
  • long_name: Estimated error on retrieved emissivity
  • units: km
  • var_id: grf_err
  • long_name: Estimated error on retrieved sun-glint scale factor.
  • units: K
  • var_id: tsk_err
  • long_name: Estimated error on retrieved surface temperature.
  • units: m
  • var_id: ecmwf_altitude
  • long_name: Estimated surface altitude from interpolated ECMWF ERA Interim data
  • units: m
  • var_id: iasi_altitude
  • long_name: Estimated surface altitude from interpolated GTOPO30 atlas
  • units: 1
  • long_name: Flag indicating retrieval convergence (1=fully converged). Results with other values should be used with more caution.
  • var_id: conv
  • units: 1
  • var_id: do_station
  • long_name: Flag indicating scenes close to one of a list of predefined ground-stations
  • units: 1
  • var_id: do_ak_t
  • long_name: Flag indicating scenes for atmospheric temperature for which full diagnostics are provided including averaging kernels
  • units: 1
  • var_id: do_sx_t
  • long_name: Flag indicating scenes for atmospheric temperature for which solution error covariance are provided
  • units: 1
  • var_id: do_ak_c
  • long_name: Flag indicating scenes for carbon monoxide for which full diagnostics are provided including averaging kernels
  • units: 1
  • var_id: do_sx_c
  • long_name: Flag indicating scenes for carbon monoxide for which solution error covariance are provided
  • units: 1
  • var_id: do_ak_m
  • long_name: Flag indicating scenes for methane for which full diagnostics are provided including averaging kernels
  • units: 1
  • var_id: do_sx_m
  • long_name: Flag indicating scenes for methane for which solution error covariance are provided
  • units: 1
  • var_id: do_ak_mgf
  • long_name: Flag indicating scenes for minor gas factors for which full diagnostics are provided including averaging kernels
  • units: 1
  • var_id: do_ak_o
  • long_name: Flag indicating scenes for ozone for which full diagnostics are provided including averaging kernels
  • units: 1
  • var_id: do_sx_o
  • long_name: Flag indicating scenes for ozone for which solution error covariance are provided
  • units: 1
  • var_id: do_ak_w
  • long_name: Flag indicating scenes for water vapour for which full diagnostics are provided including averaging kernels
  • units: 1
  • var_id: do_sx_w
  • long_name: Flag indicating scenes for water vapour for which solution error covariance are provided
  • units: 1
  • var_id: do_nwp
  • long_name: Flag indicating scenes for which NWP profiles are provided
  • units: 1
  • var_id: do_resid
  • long_name: Flag indicating scenes for which fit residual spectra are provided
  • units: 1
  • var_id: do_btds
  • long_name: Flag indicating scenes for which measurements and clear sky brightness temperature difference spectra are provided.
  • units: 1
  • var_id: do_sample
  • long_name: Flag indicating scenes forming regular sub-sampling of IASI observations
  • units: 1
  • var_id: do_retrieval
  • long_name: Flag indicating scenes which pass quality control (BTD flag zero)
  • units: K
  • var_id: btd_flag
  • long_name: Flag used as indicator of cloud derived from reported BTD
  • units:
  • var_id: csx_aot
  • long_name: Flattened half of aerosol optical thickness solution correlation matrix.
  • units:
  • var_id: csxn_aot
  • long_name: Flattened half of aerosol optical thickness solution noise correlation matrix.
  • units:
  • var_id: csx_t
  • long_name: Flattened half of atmospheric temperature solution correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] atmospheric temperature solution covariance in terms of PC weights).
  • units:
  • var_id: csxn_t
  • long_name: Flattened half of atmospheric temperature solution noise correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] atmospheric temperature solution noise covariance in terms of PC weights).
  • units:
  • var_id: csx_c
  • long_name: Flattened half of carbon monoxide solution correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution covariance in terms of PC weights).
  • units:
  • var_id: csxn_c
  • long_name: Flattened half of carbon monoxide solution noise correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution noise covariance in terms of PC weights).
  • units:
  • var_id: csx_m
  • long_name: Flattened half of methane solution correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution covariance in terms of PC weights).
  • units:
  • var_id: csxn_m
  • long_name: Flattened half of methane solution noise correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution noise covariance in terms of PC weights).
  • units:
  • var_id: csx_o
  • long_name: Flattened half of ozone solution correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution covariance in terms of PC weights).
  • units:
  • var_id: csxn_o
  • long_name: Flattened half of ozone solution noise correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution noise covariance in terms of PC weights).
  • units:
  • var_id: csx_w
  • long_name: Flattened half of water vapour solution correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] water vapour solution covariance in terms of PC weights).
  • units:
  • var_id: csxn_w
  • long_name: Flattened half of water vapour solution noise correlation matrix in terms of PC weights (undo with SVX2COV to obtain [square] water vapour solution noise covariance in terms of PC weights).
  • var_id: sa_ts
  • long_name: Global surface temperature a priori variance.
  • units: K^2
  • units: 1
  • var_id: sa_c
  • long_name: Globally averaged cabon monoxide a prior covariance in terms of PC weights.
  • units: 1
  • var_id: sa_m
  • long_name: Globally averaged methane a prior covariance in terms of PC weights.
  • units: 1
  • var_id: sa_o
  • long_name: Globally averaged ozone a prior covariance in terms of PC weights.
  • units: 1
  • var_id: sa_t
  • long_name: Globally averaged temperature a prior covariance in terms of PC weights.
  • units: 1
  • var_id: sa_w
  • long_name: Globally averaged water vapour a prior covariance in terms of PC weights
  • units: 1
  • var_id: pixel_number
  • long_name: IASI detector pixel (0-3).
  • units: 1
  • var_id: index_nwp
  • long_name: Index to nearest NWP record for each IASI scene (starts at 0)
  • units: 1
  • long_name: Land fraction
  • var_id: land_fraction
  • units: 1
  • var_id: avhrr_radiance
  • long_name: Mean of co-located AVHRR radiances.
  • units: 1
  • var_id: jy
  • long_name: Measurement component of cost.
  • units: K
  • var_id: bt
  • long_name: Measurement vector in terms of brightness temperature.
  • units: 1
  • var_id: ak_m
  • long_name: Methane averaging kernel.
  • units: 1
  • var_id: ak_mgf
  • long_name: Minor gas factor averaging kernels.
  • units: ppmv
  • var_id: profiles_mgf_rttov
  • long_name: Minor gas profiles assumed always present in RTTOV (should be added to estimated scaled profile)
  • units: ppmv
  • var_id: profiles_mgf
  • long_name: Minor gas profiles scaled by the retrieved minor gas factors
  • units: K
  • standard_name: air_temperature
  • var_id: t_nwp
  • long_name: NWP atmospheric temperature profile.
  • units: K
  • standard_name: surface_temperature
  • var_id: tsk_nwp
  • long_name: NWP surface temperature.
  • units: ln(ppmv)
  • var_id: o_nwp
  • long_name: Natural logaritm of the atmospheric ozone profile in parts per million by volume from NWP model
  • units: ln(ppmv)
  • var_id: w_nwp
  • long_name: Natural logaritm of the atmospheric water vapour profile in parts per million by volume from NWP model
  • units: m/s
  • var_id: v
  • long_name: Nortward 10m wind component
  • units: 1
  • var_id: ak_o
  • long_name: Ozone averaging kernel.
  • units: hPa
  • var_id: p
  • standard_name: air_pressure
  • long_name: Pressure grid for retrieved profiles.
  • units: K
  • var_id: resid
  • long_name: Residual spectra
  • units: km
  • var_id: alh
  • long_name: Retrieved aerosol layer pressure in z-star scale-height.
  • units: 1
  • var_id: aot
  • long_name: Retrieved aerosol optical depths.
  • units: K
  • standard_name: air_temperature
  • var_id: t
  • long_name: Retrieved atmospheric temperature profile.
  • units: 1
  • var_id: bcf
  • long_name: Retrieved bias correction factor.
  • units: microns
  • var_id: cre
  • long_name: Retrieved cloud effective radius.
  • units: km
  • var_id: cth
  • long_name: Retrieved cloud top pressure in z-star scale-height.
  • units: 1
  • long_name: Retrieved effective cloud fraction.
  • var_id: cfr
  • units: 1
  • var_id: cot
  • long_name: Retrieved effective cloud optical thickness.
  • units: 1
  • var_id: em
  • long_name: Retrieved emissivity
  • units: 1
  • var_id: mgf
  • long_name: Retrieved minor has scale factor.
  • units: ln(ppmv)
  • var_id: c
  • long_name: Retrieved natural logaritm of the atmospheric carbon monoxide profile in parts per million by volume
  • units: ln(ppmv)
  • var_id: m
  • long_name: Retrieved natural logaritm of the atmospheric methane profile in parts per million by volume
  • units: ln(ppmv)
  • var_id: o
  • long_name: Retrieved natural logaritm of the atmospheric ozone profile in parts per million by volume
  • units: ln(ppmv)
  • var_id: o
  • long_name: Retrieved natural logaritm of the atmospheric ozone profile in parts per million by volume
  • var_id: w
  • units: ln(ppmv)
  • long_name: Retrieved natural logaritm of the atmospheric water vapour profile in parts per million by volume
  • units: km
  • var_id: grf
  • long_name: Retrieved sun-glint scale factor.
  • units: degree
  • standard_name: sensor_azimuth_angle
  • var_id: satazi
  • long_name: Sensor view azimuth angle
  • units: degree
  • standard_name: sensor_zenith_angle
  • var_id: satzen
  • long_name: Sensor view zenith angle
  • units: degree
  • standard_name: solar_azimuth_angle
  • var_id: solazi
  • long_name: Solar azimuth angle
  • units: degree
  • long_name: Solar zenith angle
  • standard_name: solar_zenith_angle
  • var_id: solzen
  • units:
  • var_id: dsx_aot
  • long_name: Square-root-diagonals of aerosol optical thickness solution covariance matrix.
  • units:
  • var_id: dsxn_aot
  • long_name: Square-root-diagonals of aerosol optical thickness solution noise covariance matrix.
  • units:
  • var_id: dsx_t
  • long_name: Square-root-diagonals of atmospheric temperature solution covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] atmospheric temperature solution covariance in terms of PC weights).
  • units:
  • var_id: dsxn_t
  • long_name: Square-root-diagonals of atmospheric temperature solution noise covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] atmospheric temperature solution noise covariance in terms of PC weights).
  • units:
  • var_id: dsx_c
  • long_name: Square-root-diagonals of carbon monoxide solution covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution covariance in terms of PC weights).
  • units:
  • var_id: dsxn_c
  • long_name: Square-root-diagonals of carbon monoxide solution noise covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution noise covariance in terms of PC weights).
  • units:
  • var_id: dsx_m
  • long_name: Square-root-diagonals of methane solution covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution covariance in terms of PC weights).
  • units:
  • var_id: dsxn_m
  • long_name: Square-root-diagonals of methane solution noise covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution noise covariance in terms of PC weights).
  • units:
  • var_id: dsx_o
  • long_name: Square-root-diagonals of ozone solution covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution covariance in terms of PC weights).
  • units:
  • var_id: dsxn_o
  • long_name: Square-root-diagonals of ozone solution noise covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] ozone solution noise covariance in terms of PC weights).
  • units:
  • var_id: dsx_w
  • long_name: Square-root-diagonals of water vapour solution covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] water vapour solution covariance in terms of PC weights).
  • units:
  • var_id: dsxn_w
  • long_name: Square-root-diagonals of water vapour solution noise covariance matrix in terms of PC weights (undo with SVX2COV to obtain [square] water vapour solution noise covariance in terms of PC weights).
  • units: 1
  • var_id: avhrr_stddev
  • long_name: Standard deviation of co-located AVHRR radiances.
  • units: 1
  • var_id: jx
  • long_name: State vector component of cost.
  • units: 1
  • var_id: xt
  • long_name: State vector for atmospheric temperature in terms of principal component weights.
  • units: 1
  • var_id: xc
  • long_name: State vector for carbon monoxide in terms of principal component weights.
  • units: 1
  • var_id: xm
  • long_name: State vector for methane in terms of principal component weights.
  • units: 1
  • var_id: xo
  • long_name: State vector for ozone in terms of principal component weights.
  • units: K
  • standard_name: surface_temperature
  • var_id: tsk
  • long_name: State vector for surface temperature.
  • units: 1
  • var_id: xw
  • long_name: State vector for water vapour in terms of principal component weights.
  • units: 1
  • long_name: The average number of retrieval steps (number of calls to the forward model).
  • var_id: n_step
  • units: s
  • long_name: Time of day in msec since midnight (UTC).
  • var_id: sensingtime_msec
  • units: 1
  • var_id: ak_w
  • long_name: Water vapour averaging kernel.
  • units: cm-1
  • var_id: cwn
  • long_name: Wavenumbers associated with measurement vector.
  • units: day
  • var_id: sensingtime_day

Co-ordinate Variables

  • units: degree_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: Latitude
  • units: degree_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: Longitude
Coverage
Temporal Range
Start time:
2018-04-01T00:00:00
End time:
2018-12-31T23:59:59
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Authors (4)
Publishers (1)
Funders (1)
Principal Investigators (1)