The adequate treatment of input observations for operational and climate data assimilation has been the main topic of the thesis of Christina Tavolato-Wötzl. She started with comparisons between radiosonde observations and MSU satellite data as well as GPS-RO data. Soon after she had the opportunity to work for more than a year as graduate trainee at ECMWF, where she worked on improved assimilation of extreme observation values with help of the Huber norm. A remarkable journal article resulted from this work. We wish her all the best for her future activities.
- Haimberger, L., C. Tavolato, and S. Sperka, 2012: Homogenization of the global radiosonde temperature dataset through combined comparison with reanalysis background series and neighboring stations. J. Climate 25, 8108–8131
- Ladstädter, F., Steiner, A. K., Foelsche, U., Haimberger, L., Tavolato, C., and Kirchengast, G., 2011: An assessment of differences in lower stratospheric temperature records from (A)MSU, radiosondes, and GPS radio occultation. Atmos. Meas. Tech., 4, 1965-1977.
- Tavolato, C. and Isaksen, L. 2014: On the use of a Huber norm for observation quality control in the ECMWF 4D-Var Q. J. Roy. Meteor. Soc., DOI: 10.1002/qj.2440
