Probabilistic sensitivity analysis with dependent variables: Covariance‐based decomposition of hydrologic models
Variance‐based analysis has emerged as method of choice for quantifying the sensitivity of
the output, y, of a scalar‐valued square‐integrable function, f∈ L2 (), to its d≥ 1 input …
the output, y, of a scalar‐valued square‐integrable function, f∈ L2 (), to its d≥ 1 input …
An iterative interval analysis method based on Kriging-HDMR for uncertainty problems
L Ji, G Chen, L Qian, J Ma, J Tang - Acta Mechanica Sinica, 2022 - Springer
In recent years, growing attention has been paid to the interval investigation of uncertainty
problems. However, the contradiction between accuracy and efficiency always exists. In this …
problems. However, the contradiction between accuracy and efficiency always exists. In this …
Soil Moisture Cloud Precipitation Feedback in the Lower Atmosphere from Functional Decomposition of Satellite Observations
Y Gao, C Guilloteau, E Foufoula-Georgiou… - Authorea …, 2024 - essopenarchive.org
The feedback of topsoil moisture (SM) content on convective clouds and precipitation is not
well understood and represented in the current generation of coupled cloud physics and …
well understood and represented in the current generation of coupled cloud physics and …