A methodology for sensitivity analysis of spatial features in forecasts: the stochastic kinetic energy backscatter scheme
Author:
Affiliation:
1. Applied Physics LaboratoryUniversity of Washington Seattle Washington
2. Department of StatisticsUniversity of Washington Seattle Washington
3. Department of Atmospheric SciencesUniversity of Washington Seattle Washington
Funder
Division of Atmospheric and Geospace Sciences
Office of Naval Research Global
National Science Foundation
Office of Naval Research
Publisher
Wiley
Subject
Atmospheric Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/met.1775
Reference39 articles.
1. Neural Network–Based Sensitivity Analysis of Summertime Convection over the Continental United States
2. Comparing Adjoint- and Ensemble-Sensitivity Analysis with Applications to Observation Targeting
3. Impact of a quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal prediction skill of a global climate model
4. Model Uncertainty in a Mesoscale Ensemble Prediction System: Stochastic versus Multiphysics Representations
5. Systematic Model Error: The Impact of Increased Horizontal Resolution versus Improved Stochastic and Deterministic Parameterizations
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