We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …

Data assimilation is used in atmospheric chemistry models to improve air quality forecasts,
construct re-analyses of three-dimensional chemical (including aerosol) concentrations and …

The Data Assimilation Research Testbed (DART) is an open-source community facility for
data assimilation education, research, and development. DART's ensemble data …

Numerical models that combine weather forecasting and atmospheric chemistry are here
referred to as chemical weather forecasting models. Eighteen operational chemical weather …

Climate change, air quality, and environmental degradation are important societal
challenges for the Twenty-first Century. These challenges require an intelligent response …

Air quality prediction plays an important role in the management of our environment.
Computational power and efficiencies have advanced to the point where chemical transport …

We have developed an advanced chemical data assimilation system to combine
observations of chemical compounds from multiple satellites. NO 2, O 3, CO, and HNO 3 …

We establish an on-line optimization framework to exploit weather forecast information in the
operation of energy systems. We argue that anticipating the weather conditions can lead to …

Chemical data assimilation is the process by which models use measurements to produce
an optimal representation of the chemical composition of the atmosphere. Leveraging …

A necessary ingredient of an ensemble Kalman filter (EnKF) is covariance inflation, used to
control filter divergence and compensate for model error. There is an on-going search for …