PhD Project in the research field of Satellite Altimetry
Tallinn University of Technology (TalTech)
Tallinn University of Technology (TalTech) is the flagship of Estonian engineering and technology education. TalTech is Estonia’s most innovative university, as confirmed by the Estonian universities’ reputation survey. TalTech is especially known for its innovation in the field of digital technologies and engineering.
Founded in 1918, TalTech is located in Tallinn, the capital of Estonia, and is currently the most international university in the country with around 1600 international degree students coming from over 90 different countries. TalTech is ranked 601-650 in the QS World University Rankings with subfields such as Engineering and Technology, and Business Administration ranked 451-500. At TalTech, we make real things, such as self-driving cars or the TTÜ100 satellite. We offer an opportunity to study in a modern digital campus where many of the most recent technologies are tested and implemented on the daily basis.
For more details see https://www.ttu.ee/?id=94518
Ocean Sciences (OS)
Title of doctoral thesis topic:
Development of Satellite Altimetry Algorithms for determining accurate sea surface heights using a synergy of in-situ and marine model data.
Modern satellite altimetry (SA) missions (Sentinel, Cryosat, Jason) have the potential for determining accurate sea surface heights (SSH). It is known however that SA data products over coastal areas contain certain limitations, e.g. due to under-examined wet tropospheric correction, land and calm water interference, heterogeneous atmospheric forcings, etc. This project focuses on improving the range estimation by applying specialized developed retracking schemes. Retracking is necessary for the methodology employed in processing the range, can be study area dependant. For instance, reflected radar pulses are usually recorded against time in waveforms. Over the open ocean, waveforms normally conform well to the Brown model by the least squares estimation. Fitting to this waveform usually yields the required measurements of range (from which SSH is measured). It has been found that about 5-10 km off the coastline a significant portion of the radar waveforms depart from the Brown model (increasing toward the coast). The factors that influence this anomaly includes land contamination, ‘bright targets’ in the footprint (patches of very calm water in sheltered areas) etc. At coast it is influenced by archipelagos, areas of calm waters and many other processes (e.g upwelling jets, filaments etc.) that may influence the range that is calculated. Thus the necessity for a retracking methodology designed for the coastal area is required in order to obtain accurate SA-SSH estimates.
The PhD candidate shall develop an improved Satellite Altimetry (SA) retracker using a synergy of in-situ and marine model data. This development requires examining the sea surface heights (SSH) from various satellite altimetry (SA) missions (Sentinel, Cryosat, Jason-2 etc.) using the raw measurements along with different retracking methods. Detailed examination of the altimeter radar echoes and corrections applied shall be performed. Validation of SA derived SSH with in-situ data (tide gauges, airborne laser scanner, GNSS) is expected with utilisation of the marine geoid. Signal processing and statistical techniques (in terms of RMS error, stand. dev, uncertainty estimates, error budgets etc.) of the various data sets shall be performed. From these results a specific algorithm shall be developed to fit radar signals from different satellite missions and under different sea state (e.g. waves, sea ice, upwellings, fonts etc.). The candidate is expected to assist in project related field campaigns.
The applicants should fulfill the following requirements:
University degree (M.Sc.) in geodesy or geomatics. Consideration will be given to applicants whose previous degrees are in appropriate related disciplines, such as Earth and Space Science Informatics, Mathematics, Physics or software engineering.
Skills in signal processing (to be trained), data analysis, mathematical and statistics (to be trained).
Ability for independent research as part of a team, interest in the presentation and publication of scientific results.
Advanced computer literacy and programming skills.
Good command of the English language (speaking and writing).
The PhD candidate is expected to be at full time position for a duration of 4 years. The candidate is obligated to participate and fulfil the requirements of Tallinn University of Technology PhD programme. Additional funds will be provided (and whence applicable the associated funding can be applied for) for research trainings, conferences and international mobility/stays abroad with durations of up to 6 months. The research group wishes to increase the number of women interested in Geomatics. Qualified women are therefore also encouraged to apply.
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