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Showing 1 to 3 of 3 for “"Tangent Linear Model"”.

  1. Ensemble regression : using ensemble model output for atmospheric dynamics and prediction

    Ensemble regression (ER) is a linear inversion technique that uses ensemble statistics from atmospheric model output to make dynamical inferences and forecasts. ER defines a multivariate regression operator using ensemble forecasts and analyses to determine the most probable predict and …

    mit Repository record for Ensemble regression : using ensemble model output for atmospheric dynamics and prediction (opens in a new tab)

  2. MATLODE: A MATLAB ODE Solver and Sensitivity Analysis Toolbox

    … the effect that of perturbations of the model inputs have on the model's outputs. Some of the key insights gained using sensitivity analysis are to understand the robustness of the model with respect to perturbations, and to select the most important parameters for the model. MATLODE is a …

    vt Repository record for MATLODE: A MATLAB ODE Solver and Sensitivity Analysis Toolbox (opens in a new tab)

  3. The use of adjoint models for determining the sensitivity of integral quantities in an eddy resolving Oean General Circulation Model

    Adjoint models calculate the exact sensitivity of an output function of a model to infinitesimal perturbations in the forcing or initial conditions. In eddy resolving ocean models the presence of chaotic eddies is expected to lead to sensitivities to infinitesimal perturbations that are very …

    soton Repository record for The use of adjoint models for determining the sensitivity of integral quantities in an eddy resolving Oean General Circulation Model (opens in a new tab)