Your English writing platform
Discover LudwigSuggestions(1)
Exact(5)
FDDA is an effective data assimilation algorithm, which is capable of assimilating diverse weather measurements on model grids and seamlessly providing realistic mesoscale weather forcing to drive a large eddy simulation (LES) model within the WRF framework.
The results demonstrated that a proper selection of state vector is critical to effective data assimilation.
Therefore, this effective data assimilation scheme holds great potential for short-term flood forecasting by merging observations from ground measurement and remote sensing retrievals.
Two effective data assimilation processes are developed to improve the wave-field estimates obtained from the study of one or several probe signals, so that we obtain proper initial conditions for the forecast.
In this study, we developed an effective data assimilation scheme based on the ensemble Kalman filter and smoother (named as EnKF-S) to exploit the benefits of the two observation types while accounting for the runoff routing lag.
Similar(55)
The high performance infrastructure provides adequate support for efficient data assimilation integrations of high computational granularity.
This paper presents a simple yet effective weakly-constrained (WC) data assimilation (DA) approach for hydrologic models which accounts for model structural inadequacies associated with rainfall-runoff transformation processes.
In this case, the parameterization can be used very effectively within a data assimilation framework.
This raises hopes that data assimilation will be an effective method for accurately representing the configuration of the plasmasphere for space weather applications.
Both satellite and in situ observations combined with data assimilation and models are needed for effective, integrated monitoring of the water cycle's trends and variability in terms of both quantity and quality.
For that reason data assimilation can be expected to be an effective tool in improving the modeling accuracy of the plasmasphere.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com