Biblio
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Monitoring biodiversity from space: The ESA DIVERSITY project. IGARSS´09 (IEEE International Geoscience & Remote Sensing Symposium) (2009).
Lyapunov vectors and assimilation in the unstable subspace: theory and applications. Journal of Physics A: Mathematical and Theoretical 46, 254020 (2013).
Earth system mass transport mission (e.motion): a concept for future earth gravity field measurements from space. Surveys in geophysics 34, (2013).
Factors affecting extreme rainfall events in the South Pacific. Weather and Climate Extremes (2020).doi:10.1016/j.wace.2020.100262
Radar backscattering changes in Arctic sea ice from late summer to early autumn observed by space-borne X-band HH-polarization SAR. Remote Sensing Letters 7, (2016).
Classification of sea ice types in Sentinel-1 synthetic aperture radar images. The Cryosphere 14, (2020).
Textural noise correction for sentinel-1 TOPSAR cross-polarization channel images. IEEE Transactions on Geoscience and Remote Sensing 57, (2019).
Efficient Thermal Noise Removal for Sentinel-1 TOPSAR Cross-Polarization Channel. IEEE Transactions on Geoscience and Remote Sensing 56, (2018).
Numerical solution of regularised long ocean waves using periodised scaling functions. Pramana (Bangalore) 92, (2019).
Current and turbulence measurements at the FINO1 offshore wind energy site: analysis using 5-beam ADCPs. Ocean Dynamics 68, (2017).
Data-Assimilation by delay-coordinate nudging. Quarterly Journal of the Royal Meteorological Society 142, (2016).
Stormflo vil lamme sentrum. bt.no (2007).
Sea Ice Observations. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).at <https://www.cambridge.org/core/books/sea-ice-analysis-and-forecasting/B74BD33160B03EE1FA77CC9BB80E7DA7>
Sea ice concentration as an essential climate variable. Earth Observation and Cryosphere Science (2012).
Radar imaging of shallow water bathymetry: A case study in the Yangtze Estuary. Journal of Geophysical Research (JGR): Oceans 121, (2016).
Observational needs for improving ocean and coupled reanalysis, S2S Prediction, and decadal prediction. Frontiers in Marine Science 6:391, (2019).
Implementation of a new parameterisation of the surface turbulent fluxes for the stable stratification in NWP model HIRLAM. Abstracts: 27th EGS General Assembly, Nice, France, 21-26 April 2002 (2002).
Process identification by principal component analysis of river-quality data. Ecological Modeling 138, 193-213 (2001).
