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
8 papers · 1 filter
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…
New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem
Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless +2
Data assimilation algorithms combine prior and observational information, weighted by their respective uncertainties, to obtain the most likely posterior of a dynamical system. In…
Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update
Christian Sampson, Alberto Carrassi, Ali Aydoğdu +1
Numerical solvers using adaptive meshes can focus computational power on important regions of a model domain capturing important or unresolved physics. The adaptation can be inform…
Low complexity model to study scale dependence of phytoplankton dynamics in the tropical Pacific
Jozef Skakala, Paolo Lazzari
We demonstrate that a simple model based on reaction-diffusion-advection (RDA) equation forced by realistic surface velocities and nutrients is skilled in reproducing the distribut…
Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds
Javier Amezcua, Sven Peter Näsholm, Erik Mårten Blixt +1
This data assimilation study exploits infrasound from explosions to probe an atmospheric wind component from the ground up to stratospheric altitudes. Planned explosions of old amm…
On temporal scale separation in coupled data assimilation with the ensemble Kalman filter
Maxime Tondeur, Alberto Carrassi, Stephane Vannitsem +1
Coupled data assimilation (CDA) distinctively appears as a main concern in numerical weather and climate prediction with major efforts put forward worldwide. The core issue is the…
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
Marc Bocquet, Julien Brajard, Alberto Carrassi +1
The reconstruction from observations of high-dimensional chaotic dynamics such as geophysical flows is hampered by (i) the partial and noisy observations that can realistically be…
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model
Julien Brajard, Alberto Carassi, Marc Bocquet +1
A novel method, based on the combination of data assimilation and machine learning is introduced. The new hybrid approach is designed for a two-fold scope: (i) emulating hidden, po…