Titlebook: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV); Seon Ki Park,Liang Xu Book 2022 The Editor(s) (if applic

Ischemia

诱惑

Stochastic Representations for Model Uncertainty in the Ensemble Data Assimilation System,ation hybrid tendencies (SPHT) scheme, which perturbs both physical tendency and dynamical tendency using the random forcing, and assessed its impact on the spread of ensemble forecast and ensemble mean error.

Pander

GNSS-RO Sounding in the Troposphere and Stratosphere,ntals of the measurement, the derivation of the typical observation which is used in NWP, the assimilation methods and error assumptions which are used, and finally some conjecture on the direction to improve the use of the observations and what future measurement systems may look like.

谦卑

Images Assimilation: An Ocean Perspective,ters should consider making image assimilation an integral part of their future assimilation systems. Beyond the motivation, we also discuss whether images should be assimilated directly or indirectly, the latter consisting of assimilating information derived from images.

PANEL

nerve-sparing

Climate Change Adaptation in North Americasful extension of the sensitivity of acoustic pressure to temperature and salinity implies that acoustic pressure observations in a given range-depth plane can be assimilated into an ocean model using the acoustic propagation model as the observation operator.

Audiometry

Perturbations by the Ensemble Transform,l perturbations. Results of forecast experiments using the local ensemble transform Kalman filter (LETKF) for a simplified global model and a regional NWP model are shown. The spin-up issue in a cloud resolving model is shown with the comparison to an alternative method (diagonal LETKF).

疼死我了

fulcrum

令人发腻