IASI L2 carbon monoxide (CO) climate data record
Description
The IASI L2 carbon monoxide (CO) climate data record (CDR) provides CO concentrations and auxiliary variables used to build atmospheric profiles of CO observations. DOI: 10.15770/EUM_SAF_AC_0047
Type
Climate data record
Satellites and instruments
IASI/Metop-A and IASI/Metop-B
Algorithm version
FORLI v20151001
Time period
- 10/07/2007 - 15/09/2021 (IASI/Metop-A)
- 20/02/2013 - 31/12/2023 (IASI/Metop-B)
Theoretical basis
The Fast Optimal Retrievals on Layers for IASI (FORLI) algorithm retrieval of this product is based on the optimal estimation method. It relies on a radiative transfer model based on precalculated Lookup Tables (LUTs) and an inversion scheme to process IASI level 1C radiances.
Processing
FORLI is a dedicated radiative transfer and retrieval software for IASI. It was developed at the Université Libre de Bruxelles (ULB) in collaboration with LATMOS, with the objective to provide global concentration distributions of atmospheric trace gases.
Units and spatial resolution
CO total column and CO profile are given in molecules/cm2. In 8 seconds a total of 120 views are collected over a swath of ∼2200 km, divided as 30 arrays of four individual pixels varying in size from 36 x π km2 at nadir (circular pixel 12 km in diameter) to 10 x 20 x π km2 at larger viewing angles.
Validation
This product is validated by BIRA/IASB. Validation is performed using ground-based carbon monoxide profile measurements from the NDACC network. See the validation report below for more details.
Archiving and dissemination
This product is available via the EUMETSAT Data Store.
File format and size
This product is available in NetCDF format, each day containing about 14 orbits/instrument. The size of each orbit is on the average 30-35 MB, which gives a total size of around 450 MB/day/instrument.
Reading tools
CO_Jupyter_Notebook.zip containing:
- Clean_and_Reconstruct_CO_matrix_final.ipynb - Jupyter Notebook file
- Clean_and_Reconstruct_CO_matrix_final.py - Jupyter Notebook converted into plain Python
- Sa_CO.csv - Auxiliary file to reconstruct the matrices
- Example IASI L2 CO file in NetCDF format