Objective Analysis and Data Assimilation - ppt download
Improving the handling of model bias in data assimilation | ECMWF
Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review | SpringerLink
The Canadian Land Data Assimilation System (CaLDAS): Description and Synthetic Evaluation Study in: Journal of Hydrometeorology Volume 16 Issue 3 (2015)
On the representation error in data assimilation - Janjić - 2018 - Quarterly Journal of the Royal Meteorological Society - Wiley Online Library
Using Prior Knowledge in Data Assimilation
Data assimilation in the geosciences: An overview of methods, issues, and perspectives - Carrassi - 2018 - WIREs Climate Change - Wiley Online Library
ARPS Overview
Land data assimilation with NASA LIS – Research and operational updates
Confluence Mobile - ECMWF Confluence Wiki
Computer Simulation, Measurement, and Data Assimilation | The British Journal for the Philosophy of Science: Vol 68, No 1
Ocean Data Assimilation – Geophysical Fluid Dynamics Laboratory
The ECMWF weak constraint 4D-Var formulation - ppt download
A Multi-Time-Scale Four-Dimensional Variational Data Assimilation Scheme and Its Application to Simulated Radial Velocity and Reflectivity Data in: Monthly Weather Review Volume 148 Issue 5 (2020)
GMD - Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation
Frontiers | Evaluation of a global ocean reanalysis generated by a global ocean data assimilation system based on a four-dimensional variational (4DVAR) method
The development of a hybrid EnSRF-En3DVar system for convective-scale data assimilation - ScienceDirect
Observations, first guess and analysis for speed data. (A) Noise-free... | Download Scientific Diagram
Wednesday B: Data assimilation in 4D — JEDI Academy documentation
4: Variational data assimilation process | Download Scientific Diagram
Data assimilation - Wikipedia
Adjoint-based direct data assimilation of GNSS time series for optimizing frictional parameters and predicting postseismic deformation following the 2003 Tokachi-oki earthquake | Earth, Planets and Space | Full Text
