Biblio
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Calculation of the height of stable boundary layers in practical applications. Boundary-layer Meteorology 389-409 (2002).at <http://www.springerlink.com/content/100245/?p=43e84a3972f3443fbe3e13aeb2578da0&pi=0>
Can Environmental Conditions at North Atlantic Deep-Sea Habitats Be Predicted Several Years Ahead? ——Taking Sponge Habitats as an Example. Frontiers in Marine Science 8, (2021).
Causes of the large warm bias in the Angola–Benguela Frontal Zone in the Norwegian Earth System Model. Climate Dynamics (2017).doi:10.1007/s00382-017-3896-2
Channelized melting drives thinning under a rapidly melting Antarctic ice shelf. Geophysical Research Letters 44, (2017).
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error. Nonlinear processes in geophysics 25, (2018).
Characteristics of a convective-scale weather forecasting system for the European Arctic. Monthly Weather Review 145, (2017).
The circlet transform: A robust tool for detecting features with circular shapes. Computers & Geosciences 37, (2011). Abstract
Download: sdarticle-1.pdf (1.86 MB)
Classification of sea ice types in Sentinel-1 synthetic aperture radar images. The Cryosphere 14, (2020).
Climate change impacts on wind energy potential in the European domain with a focus on the Black Sea. Renewable and Sustainable Energy Reviews 81, (2017).
CoCoNet: Towards Coast to Coast Networks of Marine Protected Areas (from the shore to the high and deep sea), coupled with Sea-Based Wind Energy Potential. SCIRES-IT : SCIentific RESearch and Information Technology 6, (2016).
CoCoNet: Towards Coast to Coast Networks of Marine Protected Areas (from the shore to the high and deep sea), coupled with Sea-Based Wind Energy Potential. SCIRES-IT SCIentific RESearch and Information Technology 6, (2017).
The cold pool of the Bay of Bengal and its association with the break phase of the Indian summer monsoon. Atmospheric and Oceanic Science Letters 10, (2017). Download: George-AOSL-WarmPool-2017.pdf (1.78 MB)
Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration. The Cryosphere 15, (2021).
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. Journal of Computational Science 44, (2020).
Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, (2021). Abstract
Combining geostatistics and Kalman filtering for data assimilation in an estuarine system. Inverse Problems 1-13 (2002). Download: ber02a.pdf (240.51 KB)
Combining inflation-free and iterative ensemble Kalman filters for strongly nonlinear systems. Nonlinear processes in geophysics 19, (2012).
Comparing near-coincident C- and X-band SAR acquisitions of marine oil spills. IEEE Transactions on Geoscience and Remote Sensing 53, (2015).
Comparison of Quaternary interglacial periods in the Iceland Sea. J. Quat. Sci. 115-124 (1996).
Comparison of remotely measured and modeled currents in coastal areas of Norway and Spain. The Global Atmosphere and Ocean System 9, 39-64 (2003).
Comparison of sea ice signatures in OKEAN and RADARSAT radar images for the northeastern Barents Sea. Canadian Journal of Remote Sensing 30, 882-892 (2004).
A comparison of sequential assimilation schemes for ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM): Twin experiments with static forecast error covariances. Ocean Modelling 37, (2011). Abstract
Download: sdarticle-4.pdf (3.72 MB)
Concepts for benchmarking of homogenisation algorithm performance on the global scale. Geoscientific Instrumentation, Methods and Data Systems Discussions 4, (2014).
