A Fast and Generic Method to Identify Parameters in Complex and Embedded Geophysical Models: The Example of Turbulent Mixing in the Ocean
Abstract Geophysical models make predictions relying on parameter values to be estimated from data. However, existing methods are costly because they require either many runs of the complex geophysical model or to implement an adjoint model. Here, we propose an alternative approach based on optimal...
Enregistré dans:
Auteurs principaux: | Clement Aldebert, Guillaume Koenig, Melika Baklouti, Philippe Fraunié, Jean‐Luc Devenon |
---|---|
Format: | article |
Langue: | EN |
Publié: |
American Geophysical Union (AGU)
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/981f6a12dd764bdba8b4073d62929f0c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Analysis of and Solution to the Polar Numerical Noise Within the Shallow‐Water Model on the Latitude‐Longitude Grid
par: Jianghao Li, et autres
Publié: (2020) -
Realistic Simulation of Tropical Atmospheric Gravity Waves Using Radar‐Observed Precipitation Rate and Echo Top Height
par: Martina Bramberger, et autres
Publié: (2020) -
Changes to the Madden‐Julian Oscillation in Coupled and Uncoupled Aquaplanet Simulations With 4xCO2
par: Hien X. Bui, et autres
Publié: (2020) -
The Role of Isotope‐Enabled GCM Complexity in Simulating Tropical Circulation Changes in High‐CO2 Scenarios
par: Jun Hu, et autres
Publié: (2020) -
The Relationship Between Convective Clustering and Mean Tropical Climate in Aquaplanet Simulations
par: Max Popp, et autres
Publié: (2020)