data assimilation
Background error covariance with balance constraints for aerosol species and applications in data assimilation
... The control variables of the data assimilation are obtained from the MOSAIC (4-bin) aerosol scheme in the WRF/Chem model (Zaveri et al., 2008). The MOSAIC scheme includes eight aerosol species, that is, ...
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Impacts of AMSU-A, MHS and IASI data assimilation on temperature and humidity forecasts with GSI–WRF over the western United States
... (GSI) data assimilation system and NCAR’s Advanced Re- search WRF (Weather Research and Forecasting) (ARW- WRF) regional model, six experiments are designed by (1) a control experiment (CTRL) and five ...
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Data assimilation experiments using diffusive back-and-forth nudging for the NEMO ocean model
... as data assimilation is performed for a fi- nite time, the convergence of the real state is not yet achieved at the limited ...four-dimensional data assimilation (Morel et ...
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Assessing the benefit of snow data assimilation for runoff modeling in Alpine catchments
... integrating data from a dedicated external snow monitoring ...sequential assimilation of snow monitoring data with a snowmelt model, which is also based on the temperature-index approach but uses a ...
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Development of a hybrid variational-ensemble data assimilation technique for observed lightning tested in a mesoscale model
... the data assimilation interval were assigned to a particular grid point, and then divided by a time interval to form lightning flash ...6-hour assimilation time window (±3 h from a central time), ...
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Exploring Strategies for Parallel Computing of RS Data Assimilation with SWAP-GA
... using data assimilation has been proposed by Ines [1] using the SWAP (Soil, Water, Atmosphere and Plant) ...RS data, single computers time processing extends to unacceptable ...
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TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic
... EnKF-based data assimilation system is that it predicts and evolves the system’s state error covariance implicitly in the ensemble, as well as the system’s ...ensemble-based data assimilation ...
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Marine geochemical data assimilation in an efficient Earth System Model of global biogeochemical cycling
... tion, data assimilation and model integration over a specified time interval, in order to converge to the final ...real data have also been successful with a range of different models ...
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Improvement of RAMS precipitation forecast at the short-range through lightning data assimilation
... ning data assimilation on the short-term QPF, we consider the precipitation hits, ...lightning assimilation worsens the forecast, because of the different evolutions of the storms in CNTRL and F3HA6, ...
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Estimation of friction parameters in gravity currents by data assimilation in a model hierarchy
... the assimilation converged to a (local) minimum of the cost function which has a value that is not small ...using data assimilation one might have thought that one just did not find the right minimum ...
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TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic
... lated. We find that data assimilation improves the match to independent observations compared to a free model. Improvements are particularly noticeable for ice thickness, salinity in the Arctic, and ...
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Argo data assimilation into HYCOM with an EnOI method in the Atlantic Ocean
... all assimilation experiments the EUC velocity decreases from ...all data assimilation runs constrain the SAC near to the surface, while it reaches more than 300 m in the HYCOM + NCODA ...Finally, ...
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Better constraints on the sea-ice state using global sea-ice data assimilation
... the data are compatible with the model ...synthetic data the improvement brought by data assimilation of an observed variable such as ice con- centration on an another one, namely ice volume ...
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Orexinergic neurotransmission in temperature responses to methamphetamine and stress: mathematical modeling as a data assimilation approach.
... to data assimilation appears efficient in separating individual components of complex response with statistical analysis unachievable by traditional data processing ...
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Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting
... ensemble data assimilation for in- creasing ensemble spread about the mean is multiplicative covariance inflation (Anderson, 2007; Anderson and Ander- son, ...aerosol assimilation, only the 10 % ...
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Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models
... variational data assimilation (4D- Var) that minimizes a cost function defined in space and in time requires the use of the adjoint of the forward and obser- vation models, which may be costly to derive and ...
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Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin
... forecasts, data assimilation has been used operationally for meteorological modeling and prediction but seldom used for air quality mod- ...four-dimensional data assimilation (FDDA) schemes ...
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Data assimilation of CALIPSO aerosol observations
... aeolian dust events (yellow sand, or Kosa) were observed at/near Matsue on 14, 26, and 27 May 2007. It is clear that these dust events were detected by the NIES lidar, as shown in Fig. 3a. Based on this plot, it can be ...
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Influence of proxy data uncertainty on data assimilation for the past climate
... 2013). Data assimilation (DA) combines empirical information from proxy data with numerical simulations to obtain the best climate state esti- mates, aiming to capture both the forced and internal ...
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Implicit particle filtering for models with partial noise, and an application to geomagnetic data assimilation
... not update the state sequentially, but the implicit particle fil- ter does and, thus, reduces memory requirements; (ii) weak constraint 4-D-Var computes the most likely state, and this state estimate can be biased; the ...
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