Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device
A major challenge in the field of microfluidics is to predict and control drop interactions. This
work develops an image-based data-driven model to forecast drop dynamics based on …
work develops an image-based data-driven model to forecast drop dynamics based on …
[HTML][HTML] Evaluation of data assimilation strategies on improving the performance of crop modeling based on a novel evapotranspiration assimilation framework
Recently, data assimilation (DA) has garnered significant attention. Integration of DA
approaches and crop models could diminish model uncertainties and improve the precision …
approaches and crop models could diminish model uncertainties and improve the precision …
Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020
Advanced data assimilation (DA) methods, widely used in geophysical and climate studies
to merge observations with numerical models, can improve state estimates and consequent …
to merge observations with numerical models, can improve state estimates and consequent …
Remotely sensed soil moisture assimilation in the distributed hydrological model based on the error subspace transform Kalman filter
Y Li, Z Cong, D Yang - Remote Sensing, 2023 - mdpi.com
The data assimilation of remotely sensed soil moisture observations provides a feasible path
of improving river flow simulation. In this work, we studied the performance of the error …
of improving river flow simulation. In this work, we studied the performance of the error …
Typhoon track, intensity, and structure: From theory to prediction
To improve understanding of essential aspects that influence forecasting of tropical cyclones
(TCs), the National Key Research and Development Program, Ministry of Science and …
(TCs), the National Key Research and Development Program, Ministry of Science and …
Data assimilation experiments inform monitoring needs for near‐term ecological forecasts in a eutrophic reservoir
Ecosystems around the globe are experiencing changes in both the magnitude and
fluctuations of environmental conditions due to land use and climate change. In response …
fluctuations of environmental conditions due to land use and climate change. In response …
The impact of incremental analysis update on regional simulations for typhoons
The analyses produced by intermittent data assimilation methods can be dynamically
inconsistent and unbalanced. By gradually distributing the analysis increment along model …
inconsistent and unbalanced. By gradually distributing the analysis increment along model …
[HTML][HTML] Tropical cyclone data assimilation with Coyote uncrewed aircraft system observations, very frequent cycling, and a new online quality control technique
A unique dataset obtained from the Coyote small uncrewed aircraft system (sUAS) in the
inner-core boundary layer of Hurricane Maria (2017) is assimilated using NOAA's Hurricane …
inner-core boundary layer of Hurricane Maria (2017) is assimilated using NOAA's Hurricane …
Spatiotemporal changes and driving mechanisms of carbon stocks in the Yangtze River Basin of China over the past 20 years
X An, M Zhang, H Zhang, Y Liu - Advances in Space Research, 2024 - Elsevier
Abstract The Yangtze River Basin is one of the main wetland ecosystems, playing an
indispensable role in the ecological balance and carbon balance of the basin …
indispensable role in the ecological balance and carbon balance of the basin …
How frequent and which variables of automatic weather station data should be assimilated into WRF-3DVar model? A case study of a squall line event in Beijing
Accurate precipitation forecasting is one of the most challenging problems in mesoscale
Numerical Weather Prediction (NWP) models. The utilization of 3-Dimensional Variational …
Numerical Weather Prediction (NWP) models. The utilization of 3-Dimensional Variational …