4. IASI Level 2 Products Overview

Table of Contents

4. IASI Level 2 Products Overview

4.1 The IASI Instrument

The Infrared Atmospheric Sounding Interferometer is composed of a Fourier transform spectrometer (IASI) and an associated Integrated Imaging Subsystem (IIS). The Fourier transform spectrometer provides infrared spectra with high resolution between 645 and 2760 cm-1 (3.6 µm to 15.5 µm). The IIS consists of a broad band radiometer with a high spatial resolution. However, the IIS information is only used for co-registration with the Advanced Very High Resolution Radiometer (AVHRR).

The main goal of the IASI mission is to provide atmospheric emission spectra to derive temperature and humidity profiles with high vertical resolution and accuracy. Additionally it is used for the determination of trace gases such as ozone, nitrous oxide, carbon dioxide and methane, as well as land- and sea surface temperature and emissivity and cloud properties.

4.1.1 IASI Level 2 processing and data usage

The IASI Level 2 processing foresees not only the usage of the IASI Level 1c radiance spectra but also of the ATOVS measurements namely AMSU-A L1b, AVHRR L1B, MHS Level 1b and ATOVS L2 products. Additionally the IASI L2 processing makes usage of NWP data. The mapping of ATOVS measurements onto the IASI Instantaneous Field Of Views (IFOVs) is therefore an essential part of the processing. In the following section the IASI sampling and the synchronisation and collocation with the ATOVS instruments is discussed before the L2 processing itself is introduced in section 4.2.

4.1.2 Sampling Characteristics of IASI and collocation with ATOVS

IASI is an across track scanning system with scan range of ±48° 20´, symmetrically with respect to the nadir direction. A nominal scan line covers 30 scan positions towards the Earth and two calibrations views. One calibration view is into deep space, the other is observing the internal black body. The scan starts on the left side with respect to the flight direction of the spacecraft.

The elementary field of view (EFOV) is the useful field of view at each scan position. Each EFOV consists of a 2 x 2 matrix of so-called instantaneous field of view (IFOV). Each IFOV has a diameter of 14.65 mrad, which corresponds to a ground resolution of 12 km at nadir (and a satellite altitude of 819 km). The 2 x 2 matrix is centred on the viewing direction. The instrument points spread function (PSF) is defined as the horizontal sensitivity within an IFOV. The non-uniformity within the inner 80% of the IFOV is not larger than ± 5 %.
The IIS field of view is defined by a square area of 59.63 x 59.63 mrad, consisting of 64 x 64 pixels and covering the same area as the IASI EFOV.

The instrument scans in a step and stare modus. Each interferogram is acquired within 151 ms. The 30 Earth interferograms per scan line are taken in equally spaced time intervals every 8/37 s so that a synchronisation with AMSU is reached. Figure 4.1 summarises the synchronisation of IASI with the ATOVS instruments AMSU and MHS.

 

    Figure 4.1: Synchronisation of IASI, AMSU-A and MHS

    Characteristics Value Unit
    Scan type step and stare

    -

    Scan rate 8 s
    Stare interval 151 ms
    Step interval  8/37 s
    Number of Earth scans / line - EFOV 30 -
    Swath ±48.333 deg
    Swath width ±1100 km
    IFOV - shape at nadir circular -
    IFOV - size at nadir 12 km
    IFOV - size at edge of scan line across track 39 km
    IFOV - size at edge of scan line along track 20 km

    Table 4.1: IASI scanning characteristics

Within the IASI Level 2 processing the measurements from the ATOVS instruments and the ATOVS L2 products are used.The collocation between IASI and the ATOVS instruments is shown in the following figures.

    Figure 4.2: Collocation of IASI (yellow) and AMSU (red). The distance along and across track is given in km.

    Figure 4.3: The collocation between IASI (yellow), AMSU (red), MHS (green) and HIRS (blue) is shown for four scan lines near nadir

    Figure 4.4: The collocation between IASI (yellow), AMSU (red), MHS (green) and HIRS (blue) is shown at the end of the IASI scan line

4.2 Overview of the Level 2 processing

The objectives of the IASI Level 2 ground processing is the derivation of geophysical parameters from the radiance measurements. The following parameters are derived during IASI Level 2 processing:

The processing is performed in synergy with the ATOVS instrument suite, AVHRR and forecast data from numerical weather prediction. The nominal input of IASI Level 2 processor consists of:

In following sections an overview about the IASI Level 2 processing is given.

4.2.1 IASI Level 2 pre-processing

During the pre-processing phase the geolocation is extracted from L1C data for individual IASI IFOVs. The topography and surface type (land/water) within the IASI IFOV are extracted from a Land-Sea database and a Digital Elevation Model (DEM). A quality flag is generated indicating whether the geolocation of the IASI IFOV is valid (FLG_IASIBAD). The flag FLG_LANSEA summarizes the topography and the surface type (land/water).

The validity of the input data is checked by comparing the data against valid bounds and evaluating the quality flags The input data consist of the ATOVS data Level 1 and Level 2 , the AVHRR cloud mask and the surface and cloud top temperature, the IASI Level 1c radiance spectra, and the NWP forecast data.

The ATOVS Level 2, AMSU Level 1, MHS Level 1 and AVHRR cloud mask and surface or cloud top temperature (S/CTT) measurements are collocated with the IASI IFOV. The results from collocation of AVHRR and IASI are stored in a correlation mask which is later used for accessing the AVHRR pixel within a IASI IFOV. The flags FLG_ATOVINT and FLG_AVHAVL summarise the results from this task.

The NWP forecast data are interpolated on to the position of the IASI IFOV. Depending on the availability and quality the data are accepted and passed to the next processing step. The quality and processing flag FLG_NWPBAD is generated.

With the AVHRR correlation mask, by taking into account the IASI sounder point spread function and the AVHRR cloud mask, the weighted fractional cloud cover and the weighted S/CTT distributions are calculated for the individual IASI IFOV. Up to three different cloud top temperatures for up to three different cloud formations are calculated. The flag FLG_IASICLR summarises the results from this task.

4.2.2 IASI Level 2 cloud detection and retrieval selection

4.2.2.1 Choice for pure IASI or combined IASI/ATOVS/AVHRR retrieval

Based on the availability of input data and its quality the choice is made between four different combinations of input data for the retrieval. The retrieval can be based on a combination of IASI/AVHRR, IASI/ATOVS or IASI/AVHRR/ATOVS or a IASI stand alone retrieval. Finally the flag FLG_RETCHC specifies the retrieval choice.

4.2.2.2 Cloud detection

The cloud detection is performed based on the combined information of the IASI L1c spectra and the AMSU-A data. Eight different cloud detection tests are executed and the relevant flags are set accordingly (FLG_CLDTST and FLG_IASICLD). These include the following tests:

    Cloud detection
    Test name  Type of test  Measurements used
     Test A  Window channel test  IASI stand alone
     Test B  IASI inter channel regression test  IASI stand alone
     Test C  IASI-AMSU-A inter channel regression test  IASI and AMSU-A
     Test D  Horizontal coherency test  IASI stand alone
     Test E  Window cross-correlation test  IASI stand alone
     Test F  Window cross-correlation test  IASI stand alone
     Test G  Cloud test over elevated polar regions  IASI stand alone
     Test H  Detection of dust storms  IASI stand alone

    Table 4.2: IASI Level 2 cloud detection tests

If ATOVS data are not available only the IASI stand-alone cloud detection tests will be executed.

4.2.2.3 Determination of cloud top height and fractional cloud cover

If clouds are detected in the field of view the CO2-slicing method is used to estimate the fractional cloud cover and the cloud top pressure for the IASI IFOVs.

If the IFOV has been declared cloudy by the AVHRR-derived fractional cloud cover the average cloud top height and cloud top temperatures are calculated for the number of identified cloud formations. The assignment of cloud top temperature (CTT) versus pressure is made by using a temperature profile form ATOVS, a NWP forecast or climatology depending on availability of data and configuration.

Finally the fractional cloud cover and the cloud top height derived from the CO2-slicing method and the weightned AVHRR measurements are compared. In case of strong disagreements the higher fractional cloud cover and cloud top height is used. If only small differences occur the mean fractional cloud cover and cloud top height is calculated. The flag FLG_FRCSEL indicates the agreement or disagreement of the fractional cloud cover and the cloud top pressure derived from the different data sets and techniques. The fractional cloud cover, the cloud top height and the cloud top temperature and the number of cloud formations are part of the Main Data Record (MDR) (FRACTIONAL_CLOUD_COVER, CLOUD_TOP_TEMPERATURE, CLOUD_TOP_PRESSURE, and NUMBER_CLOUD_FORMATIONS)

Additionally the cloud phase is estimated for cloudy IASI IFOVs by evaluation of the infrared window regions between 8 - 9 and 11 - 12 µm. The cloud phase is part of the MDR (CLOUD_PHASE).

A summary based on information from the previous cloud detection tests is generated. The fractional cloud cover is evaluated against thresholds and determined whether a IFOV is clear, partly cloudy, or cloudy. Results are given in the cloud flag FLG_CLDSUM. Based on this information the retrieval selection flag FLG_RETCHC is updated as well.

The thin cirrus detection algorithm evaluates the IASI spectra near 11 and 12 µm. The thin cirrus flag FLG_THICIR summarizes the result from this test.

4.2.2.4 Selection of clear, cloudy or cloud-clearing retrieval

The retrieval type is selected with respect to the results of the cloud processing. The options are the clear sky retrieval on an IFOV basis, cloudy retrieval in single IFOVs, and the cloud clearing option for partly cloudy field of views. The cloud clearing is performed using four IFOVs. Finally, a clear retrieval can be selected for completely cloudy IASI IFOVs where the profiles are derived only above the cloud top. The flag FLG_FINCHC is set accordingly.

For increasing cloud cover the choices are:
 clear retrieval  cloudy retrieval  variational cloud clearing  clear retrieval above cloud top
 clear IFOV                                 --->      increasing cloud cover      --->                                completely cloudy IFOV

 

4.2.3 IASI Level 2 product retrieval

4.2.3.1 Determination of climatologic profiles and surface parameters

According to the geographic location and time of the IASI measurement the climatological profiles and surface parameters are extracted from a database together with their covariance.

4.2.3.2 IASI channel or super channel selection

The purpose of the super channel clustering is to reduce the number of channels by combining channels with redundant information. They consist of linear combinations of IASI channels. The choice depends on the selection of the retrieval. Super channels are only generated if the iterative retrieval is selected.

4.2.3.3 IASI first retrieval

The first retrieval is generated using IASI alone or IASI in combination with ATOVS. The type of the first retrieval is specified by the flag FLG_FINCHC, either the EOF (Empirical Orthogonal Function) regression retrieval or the neural network retrieval can be used. Channels in the short-wave region of the IASI spectrum are excluded from the retrieval in case the instrument looks into sun glint.

The super-saturation of retrieved water vapour profile is examined. If super-saturation is found these values are set to the corresponding saturation value. The flag FLG_SUPSAT indicates whether super-saturation occurred and how many levels are affected. The temperature profile is examined with respect to super-adiabatic conditions. If a super-adiabatic temperature gradient is recognized the temperature is set to temperature representing an adiabatic temperature lapse rate. The flag FLG_SUPADI indicates whether super-adiabatic conditions occurred and how many layers are affected.

The results from the first retrieval can constitute the final product or be the first guess for the subsequent iterative retrieval. The state vector from this retrieval contains the temperature, humidity and ozone columns in thick layers, the surface temperature, surface emissivity, and the the columnar amounts of carbon monoxide, methane, nitrous oxide, and carbon dioxide.

The profiles and surface parameters from the first retrieval are checked for completeness and validated, results are summarised by FLG_FGCHECK.

4.2.3.4 IASI iterative retrieval

If profiles and surface parameters from the first retrieval are within valid bounds (FLG_FGCHECK) they are passed into the Fast Radiative Transfer Model (FRTM) to calculate the synthetic IASI brightness temperature spectra and the Jacobians (a matrix of the partial derivatives of the brightness temperature with respect to the profile and surface parameters). Out of bound values of the first retrieval are replaced by climatology data. Information which is not part of the retrievals but needed as input for the FRTM, e.g. trace gas profiles, is taken from climatological background.

Based on the pre-selection and availability, the background state vector and its inverse covariance matrix are made available for the retrieval process. The background state vector does not contain information which are use within in the iterative retrieval e.g. ATOVS L2 data are not used as background information if the ATOVS data are used in the iterative retrieval. The flag FLG_SELBAC identifies the used background state vector.

A cost function is then minimised by iteration of the state vector and calculating new brightness temperature spectra and Jacobians until an acceptable solution is found according to predefined criteria.

The information about the convergence of the iteration is given by FLG_ITCONV. The number of iterations is in FLG_NUMIT. The results from the residual check are given by FLG_RESID.

The results of the iterative retrieval are passed to the quality control. A quality control flag (FLG_QUAL) is generated indicating whether the accuracy of the retrieved IASI Level product is alignment with the EURD requirements.

4.3 IASI Level 2 product characteristics

4.3.1 General

Table 4.3 summarises the requirements for the IASI Level 2 products with respect to product accuracy, sampling and timeliness as they can be found in the EPS End User Requirements Document (EURD, RD 23).

    Product Accuracy Sampling Timeliness
    Temperature 1 K (2 K stratosphere) IFOV 3 h
    Relative humidity 10% IFOV 3 h
    Cloud cover 10% IFOV 3 h
    Cloud top temperature 2 K IFOV

    3 h

    Cloud top height 300 m IFOV 3 h
    Integrated CH4 <20% 250 km 3 h
    Integrated N2O <20% 250 km 3 h
    Integrated CO <10% 250 km 3 h

    Table 4.3: Requirements for IASI Level 2 products

4.3.2 Instrument mode and navigation information

The instrument mode is indicated by the IASI Level 1c flag GEPSIasiMode. The flag indicates whether the instrument is operated in normal scan mode or external calibration mode.

The navigation information is given at a scan line level. Information about the satellite's roll, pitch and yaw angles are given by ATITUDE_ANGLES, the time in seconds associated with it is given in TIME_ATTITUDE. The spacecraft's speed is given in the SPACECRAFT_ALTITUDE variable values are in km.

The bit string NAVIGATION_STATUS contains further detailed information about the navigational status.

4.3.3 Quality and processing information in the product

A number of quality and processing information flags are generated during the Level 2 processing. These flags are distributed as part of the IASI Level 2 product and are associated with individual IFOVs. Table 4.4 contains the description of the IASI Level 2 processing and quality flags. The possible values and the conditions are described individually in Annex 6.1. The flags do not only indicate the quality and completeness of the IASI L1c product but of all other data used in the IASI Level 2 processing.

    Flag name Description
    FLG_ATOVCLR Cloud flag for ATOVS products
    FLG_ATOVCMP Completeness of ATOVS products
    FLG_ATOVINT Interpolation of ATOVS to IASI
    FLG_AVHAVL Completeness flag for AVHRR products
    FLG_AVHBAD Validation flag for AVHRR products
    FLG_CHNSEL Channel selection
    FLG_CLDAVH Number of cloud formations analysed in AVHRR
    FLG_CLDFRM Number of cloud formations and origin of height assignment
    FLG_CLDPHA Cloud Phase
    FLG_CLDSUM Summary indicating which instruments see clouds
    FLG_CLDTST Cloud tests that are executed
    FLG_DAYNIT Discrimination between day and night
    FLG_FGCHECK Check whether first guess retrievals passed to iterative retrieval
    FLG_FINCHC Final choice of retrieval
    FLG_FRCSEL Selection of fractional cloud cover from IASI/ATOVS or AVHRR
    FLG_IASIBAD Validation flag for IASI Level 1 product
    FLG_IASICLD Results of cloud test
    FLG_IASICLR IASI IFOV clear, partly cloudy or cloudy
    FLG_INITIA Retrieval initialisation
    FLG_ITCONV Convergence of the iterative retrieval
    FLG_ITRBOU Validation of iterated state vector
    FLG_LANSEA Specifies surface type
    FLG_NUMIT Number of iterations used for retrieval
    FLG_NWPBAD Validation flag of NWP forecast
    FLG_QUAL Quality and completeness of the retrieval
    FLG_RESID Retrieval residual acceptance flag
    FLG_RETBOU Identification of out-of-bounds state vector elements
    FLG_RETCHC Choice of combined or IASI stand alone retrieval
    FLG_SATMAN Indication of satellite manoeuvre
    FLG_SELBAC Selection of background state
    FLG_SFCAVH Indication of AVHRR derived surface temperature
    FLG_SFCTOP Validation flag for surface type and topography
    FLG_SUNGLNT Identification of sun glint
    FLG_SUPADI Indication of super-adiabatic conditions in final retrieval
    FLG_SUPSAT Indication of super-saturation in final retrieval
    FLG_THICIR Thin cirrus cloud test
    FLG_THICOR Thin cirrus has been corrected for
    FLG_VARCLR Cloud clearing by variational analysis
    FLG_STER Representation of retrieval errors. Determines content and size of data in MDR.ERROR_DATA.

    Table 4.4: IASI Level 2 processing and quality flags

A detailed explanation on the format is given later in the Level 2 EPS format description (Annex 6 and Annex 4.1). Further details can be found in [RD13] and [RD17].

4.4 Summary of IASI Level 2 product applications

Not available for this issue of the user guide.