Biblio
Filtre: Første Bokstav I Etternavn er P [Slett Alle Filtre]
Monitoring biodiversity from space: The ESA DIVERSITY project. IGARSS´09 (IEEE International Geoscience & Remote Sensing Symposium) (2009).
Web-GIS portal for multi-source oceanographic data of Nordic Seas. 82 (2013). Last ned: WEB-GIS_protal_Oceanographic_data_Phalguni.pdf (2.25 MB)
Lyapunov vectors and assimilation in the unstable subspace: theory and applications. Journal of Physics A: Mathematical and Theoretical 46, 254020 (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).
Efficient Thermal Noise Removal for Sentinel-1 TOPSAR Cross-Polarization Channel. IEEE Transactions on Geoscience and Remote Sensing 56, (2018).
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).
Numerical solution of regularised long ocean waves using periodised scaling functions. Pramana (Bangalore) 92, (2019).
Skilful decadal-scale prediction of fish habitat and distribution shifts. Nature Communications 13, (2022).
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).på <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). Last ned: pet01.pdf (1.2 MB)
