… (SICCI-2). Therefore, the focus of this study lies not in a further optimization of the CryoSat-2 …
to match the freeboard retrieval of Envisat to that of CryoSat-2 and build a consistent sea-ice …

… valuable data for parameterization and updating … ) 2 dQ where F f,t is the empirical cumulative
distribution function of the ensemble predictions at time t, and F o,t the respective empirical …

… CryoSat-2 data used in this study is level 2 data. It is based on 20 Hz level 1b baseline C data
provided by ESA, and retracked with an empirical … Commonly, it is estimated empirically or, …

… of CryoSat-2 to Operation IceBridge data using a consistent set of parameterizations. The …
A new method to fit CryoSat-2 level 1B waveforms using an empirical model was developed…

… to optimize the drag model parameterization. For CryoSat-2 we could not demonstrate that
… The scaling factors of the empirical accelerations are in units of 10 - 9 m/s - 2 . The method …

… CryoSat-2 … CryoSat-2 elevation products is poorly understood. We seek to investigate the
long-term impacts of changing surface and shallow subsurface conditions on CryoSat-2 Level 2 …

… of CryoSat-2 observations in the M 2 –K 2 phase plane. (b) Probability distribution function
(PDF) of M 2 phase as seen by CryoSat-2. … if CryoSat-2 data are analyzed within small bins. …

… a Cf value of 12 (empirical parameter that accounts for frictional … depends on the surface
albedo parameterization. Here, we … We apply the form drag parameterization of Tsamados et al. (…

… the limited size of the CryoSat-2 radar receiving window. The … model would do and hence
the CryoSat-2 multi-looked SAR … and is computed from the CryoSat-2 FBR beam and baseline …

… to CryoSat-2 still is challenging as the proposed method derives the quantiles from empirical
… obtained by using globally available DEMs such as SRTM for model parameterization only. …