Biblio
Filtre: Første Bokstav I Etternavn er I [Slett Alle Filtre]
WMO Global Annual to Decadal Climate Update A Prediction for 2021-25. Bulletin of The American Meteorological Society - (BAMS) 103, (2022).
Variability along the Atlantic water pathway in the forced Norwegian Earth System Model. Climate Dynamics (2018).doi:10.1007/s00382-018-4184-5
Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends. The Cryosphere 8, (2014).
Towards an advanced observation system for the marine Arctic in the framework of the Pan-Eurasian Experiment (PEEX). Atmospheric Chemistry and Physics (ACP) 19, (2019).
Surface contaminations of the northern seas from synthetic aperture radar data: detection, properties. Proceedings of Polar Dynamics: Monitoring, Understanding and Prediction Conference. Bergen, Norway. 2007 (2007).
Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods. Ocean Science 18, (2022).
Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach. Remote Sensing 15, (2023).
STATE OF THE CLIMATE IN 2011 Special Supplement to the Bulletin of the American Meteorological Society Vol. 93, No. 7, July 2012. Bulletin of the American Meteorological Society 93, S1-+ (2012).
On specific features of coastal zone radar imaging. Earth observation from space (2007).
Separating signal and noise in atmospheric temperature changes: The importance of timescale. Journal of Geophysical Research-Atmospheres 116, (2011).
SEASTAR: A Mission to Study Ocean Submesoscale Dynamics and Small-Scale Atmosphere-Ocean Processes in Coastal, Shelf and Polar Seas. Frontiers in Marine Science 6, (2019).
Sea Ice Passive Microwave Algorithms and SAR Validation. ESA Living Planet Symposium (2010).på <http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html> Abstract
Last ned: Johannessen_Ivanova2010.pdf (13.02 MB)
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).
Sea ice concentration and thickness variability from passive microwave and altimetry measurements during the last 2-3 decades. Climate Change in High Latitudes Bjerknes Centre 10-years Anniversary Conference (2012).
THE ROLE OF THE BARENTS SEA IN THE ARCTIC CLIMATE SYSTEM. Reviews of geophysics 51, (2013). Last ned: The role of the Barents_ROG.pdf (3.32 MB)
Retrieval of arctic sea ice parameters by satellite passive microwave sensors: A comparison of eleven sea ice concentration algorithms. IEEE Transactions on Geoscience and Remote Sensing 52, (2014).
Response of passive microwave sea ice concentration algorithms to thin ice. IEEE International Geoscience and Remote Sensing Symposium proceedings (2014).doi:10.1109/IGARSS.2014.6947266
REFERENCE UPPER-AIR OBSERVATIONS FOR CLIMATE Rationale, Progress, and Plans. Bulletin of the American Meteorological Society 90, 361-+ (2009).
Reference Quality Upper-Air Measurements: guidance for developing GRUAN data products. Atmospheric Measurement Techniques 3, 1217-1231 (2010).
Recognising the social functions of climate services in Bergen, Norway. Climate Services 27, (2022). Abstract
