Laurent Bertino
Biographic Data
| ID | 6818112 |
|---|---|
| NAME | Laurent Bertino |
| GIVEN NAMES | Laurent |
| FAMILY NAME | Bertino |
| SIGNATURE | BERTINO L |
| AFFILIATIONS | Nansen Environmental and Remote Sensing Center |
| ORCID | 0000-0002-1220-7207 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Map-Based Ensemble Forecasts for Maritime Operations
Previous research indicates that forecast uncertainty can, in certain formats and decision contexts, provide actionable insights that help users in their decision-making. However, how to best disseminate forecast uncertainty, which factors affect successful uptake, and how forecast uncertainty transforms into better decision-making remains an ongoing topic for discussion in both academic and operational contexts. Interpreting and using visualizat…
Data assimilation in the geosciences
We commonly refer to state estimation theory in geosciences as data assimilation (DA). This term encompasses the entire sequence of operations that, starting from the observations of a system, and from additional statistical and dynamical information (such as a dynamical evolution model), provides an estimate of its state. DA is standard practice in numerical weather prediction, but its application is becoming widespread in many other areas of cl…
No prominent works on this page.
Data assimilation in the geosciences
We commonly refer to state estimation theory in geosciences as data assimilation (DA). This term encompasses the entire sequence of operations that, starting from the observations of a system, and from additional statistical and dynamical information (such as a dynamical evolution model), provides an estimate of its state. DA is standard practice in numerical weather prediction, but its application is becoming widespread in many other areas of cl…
Map-Based Ensemble Forecasts for Maritime Operations
Previous research indicates that forecast uncertainty can, in certain formats and decision contexts, provide actionable insights that help users in their decision-making. However, how to best disseminate forecast uncertainty, which factors affect successful uptake, and how forecast uncertainty transforms into better decision-making remains an ongoing topic for discussion in both academic and operational contexts. Interpreting and using visualizat…
Computer Science (2 works) · Engineering (2 works) · Meteorological Phenomena and Simulations (2 works) · Operations research (2 works) · Assimilation (phonology (1 works) · Atmospheric and Environmental Gas Dynamics (1 works) · Climate variability and models (1 works) · Consensus forecast (1 works) · Coproduction (1 works) · Data assimilation (1 works)