Search Results

You are looking at 1 - 1 of 1 items for :

  • Regression analysis x
  • Mountain Terrain Atmospheric Modeling and Observations (MATERHORN) x
  • Weather and Forecasting x
  • Refine by Access: All Content x
Clear All
Sean M. Wile, Joshua P. Hacker, and Kenneth H. Chilcoat

of the analysis perturbation differ in different experiments explained below. By perturbing the analysis at a point x i , the slope of the regression line between x i and J gives the expected forecast change. Further, assimilating an observation at a sensitivity point decreases σ x , reflecting more certainty in the analysis. In this case the uncertainty in forecast J should also reduce as long as the linear approximation is valid, because to a linear approximation each member of the

Full access