IASI Skin Temperature (IASI SkT) is a monthly (L3), 1×1 degree global dataset of skin temperatures over land derived from the IASI satellite radiances data. The data was computed using artificial neural networks over a selected set of IASI radiance channels, trained with ERA5-skin temperature product. Emissivity is also used as input in the neural network (Safieddine et al., 2020). This method was applied to the whole IASI time series to produce a homogeneous skin temperature data record from Sept. 2007 to the present. The dataset consists of monthly mean TXT files of around 350 KB each (~total 52 MB for the 200709-201912 period). Each file is a grid organized by latitude (-90 to 89 °N) and longitude (-180 to 180 °E). Night and day data are separated based on the local time of IASI’s overpass at each grid point. The sea grid points are filled using NaN. Size of the grid : 180 lines and 361 columns. Separator : comma. Unit : degree Celsius.
The version number is 202008.
IASI/Metop-A SkT data are available from September 2007.
Data Access : https://iasi-ft.eu/data-access/SkT/
Publication : Safieddine S., Parracho A. C., George M., Aires F., Pellet V., Clarisse L., Whitburn S., Lezeaux O., Thépaut J.-N., Hersbach H., Radnoti G. et al.: Artificial Neural Networks to Retrieve Land and Sea Skin Temperature from IASI, Remote Sensing, MDPI, 12 (17), pp.2777, https://doi.org/10.3390/rs12172777, 2020.
Contact : Sarah Safieddine (firstname.lastname@example.org) or Cathy Clerbaux (email@example.com)
Citation : Safieddine, S. (2020). IASI-FT Skin Temperature (from IASI/Metop-A) [Data set]. LATMOS/ULB. https://doi.org/10.21413/IASI-FT_METOPA_SKT_L3_LATMOS-ULB