822 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ReadingGB12 papers
- California Institute of TechnologyUS8 papers
- Fermi National Accelerator LaboratoryUS6 papers
- University of LeicesterGB6 papers
- Columbia UniversityUS5 papers
- Princeton UniversityUS5 papers
- Stanford UniversityUS5 papers
- University College LondonGB5 papers
- Utrecht UniversityNL5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Institute for High Energy PhysicsES4 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP4 papers
3 papers · 1 filter
Estimating carbon pools in the European Shelf sea environment: replacing reanalysis by model-informed machine learning?
Jozef Skakala
Shelf seas are important for the economy and the carbon cycle, but shelf sea observations for carbon pools are often sparse, or highly uncertain. An alternative can be provided by…
Assimilation of machine learning-predicted nitrate to improve the quality of phytoplankton forecasting in the shelf sea environment
Deep S Banerjee, Jozef Skakala, David Ford
We demonstrate that assimilating Neural Network (NN)-predicted surface nitrate leads to a major improvement in phytoplankton short-range (1-5 day) dynamical model forecasts for the…
Quantifying vegetation biophysical variables from imaging spectroscopy data: a review on retrieval methods
Jochem Verrelst, Zbyněk Malenovský, Christiaan Van der Tol +5
An unprecedented spectroscopic data stream will soon become available with forthcoming Earth-observing satellite missions equipped with imaging spectroradiometers. This data stream…