A Framework for Four-Dimensional Variational Data Assimilation Based on Machine Learning

A Framework for Four-Dimensional Variational Data Assimilation Based on Machine Learning

The initial field has a crucial influence on numerical weather prediction (NWP). Data assimilation (DA) is a reliable method to obtain the initial field of the forecast model. At the same time, data are the carriers of information. Observational data are a concrete representation of information. DA...

Full description

Bibliographic Details
Main Authors:	Renze Dong, Hongze Leng, Juan Zhao, Junqiang Song, Shutian Liang
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	Entropy
Subjects:	numerical weather prediction four-dimensional variational assimilation machine learning tangent linear and adjoint models
Online Access:	https://www.mdpi.com/1099-4300/24/2/264

Similar Items

A hybrid data assimilation system based on machine learning
by: Renze Dong, et al.
Published: (2023-01-01)

A Four‐Dimensional Variational Constrained Neural Network‐Based Data Assimilation Method
by: Wuxin Wang, et al.
Published: (2024-01-01)

Representer-based variational data assimilation in a spectral element shallow water model on the cubed-sphere grid
by: Byoung-Joo Jung, et al.
Published: (2014-10-01)

Assimilating AMSU-A Radiance Observations with an Ensemble Four-Dimensional Variational (En4DVar) Hybrid Data Assimilation System
by: Shujun Zhu, et al.
Published: (2023-07-01)

Evaluation of a global ocean reanalysis generated by a global ocean data assimilation system based on a four-dimensional variational (4DVAR) method
by: Yosuke Fujii, et al.
Published: (2023-01-01)

Multigrid methods for improving the variational data assimilation in numerical weather prediction
by: Youn-Hee Kang, et al.
Published: (2014-07-01)

Estimation of emission mass from an eruption plume for the Aso volcano eruption, on October 8, 2016, using a four-dimensional variational method
by: Kensuke Ishii
Published: (2018-12-01)

Development of the tangent linear and adjoint models of the MPAS-Atmosphere dynamic core and applications in adjoint relative sensitivity studies
by: Xiaoxu Tian, et al.
Published: (2020-01-01)

Impact of AMSU-A and MHS radiances assimilation on Typhoon Megi (2016) forecasting
by: Liu Chaoshun, et al.
Published: (2023-03-01)

Estimation of the Manning’s n coefficient in multi-constituent tidal models by assimilating satellite observations with the adjoint data assimilation
by: Daosheng Wang, et al.
Published: (2023-03-01)

Impact of Soil Moisture Data Assimilation on Analysis and Medium-Range Forecasts in an Operational Global Data Assimilation and Prediction System
by: Sanghee Jun, et al.
Published: (2021-08-01)

Adjoint Data Assimilation of the Flow on the Southern Flank of Georges Bank: March–June 1999
by: Changsheng Chen, et al.
Published: (2023-11-01)

Method Research on Data Assimilation for Burnup Distribution of PWR Based on Three=dimensional Variation and Neutral Network Algorithm
by: GUO Lin;WAN Chenghui;LI Yunzhao;WU Hongchun
Published: (2022-11-01)

Reduced-precision arithmetic in numerical weather prediction with an emphasis on data assimilation
by: Hatfield, S
Published: (2019)

A Data-Assimilation Based Method for Equilibrium Reconstruction of Magnetic Fusion Plasma: Solution by Adjoint Method
by: Akio Sanpei, et al.
Published: (2023-01-01)

Improve the Accuracy in Numerical Modeling of Suspended Sediment Concentrations in the Hangzhou Bay by Assimilating Remote Sensing Data Utilizing Combined Techniques of Adjoint Data Assimilation and the Penalty Function Method
by: Wenrui Chen, et al.
Published: (2022-12-01)

Grassland Aboveground Biomass Estimation through Assimilating Remote Sensing Data into a Grass Simulation Model
by: Yuxin Zhang, et al.
Published: (2022-07-01)

Assimilation of Polarimetric Radar Data in Simulation of a Supercell Storm with a Variational Approach and the WRF Model
by: Muyun Du, et al.
Published: (2021-08-01)

Impacts of Assimilating CYGNSS Satellite Ocean-Surface Wind on Prediction of Landfalling Hurricanes with the HWRF Model
by: Zhaoxia Pu, et al.
Published: (2022-04-01)

Variational data assimilation: mathematical foundations and one application Assimilação variacional de dados: fundamentos matemáticos e uma aplicação
by: Paulo S. D. da Silva, et al.
Published: (2011-09-01)

Short-Range Numerical Weather Prediction of Extreme Precipitation Events Using Enhanced Surface Data Assimilation
by: Magnus Lindskog, et al.
Published: (2019-09-01)

Assimilation of FY-3D and FY-3E Hyperspectral Infrared Atmospheric Sounding Observation and Its Impact on Numerical Weather Prediction during Spring Season over the Continental United States
by: Qi Zhang, et al.
Published: (2023-06-01)

Performance validation of in-house developed four-dimensional dynamic phantom
by: Rahul Kumar Chaudhary, et al.
Published: (2019-01-01)

Four-Dimensional Variational Data Assimilation and Sensitivity of Ocean Model State Variables to Observation Errors
by: Victor Shutyaev, et al.
Published: (2023-06-01)

Variational parameter estimation in a two-equation turbulence model: A case study with a 3D primitive-equation ocean model
by: Yan Hu, et al.
Published: (2022-12-01)

Assimilation of In Situ Meteorological Data to Optimize a Weather Service for Mosquito Control
by: Stergios Kartsios, et al.
Published: (2023-08-01)

On Applying Large-Scale Correction to Limited-Area Numerical Weather Prediction Models
by: Anurag Dipankar, et al.
Published: (2022-07-01)

Four-Dimensional History Matching Using ES-MDA and Flow-Based Distance-to-Front Measurement
by: Eduardo Barrela, et al.
Published: (2023-12-01)

A Background Error Statistics Analysis over the Mediterranean: The Impact on 3DVAR Data Assimilation
by: Ioannis Samos, et al.
Published: (2023-09-01)

Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation
by: Marc Bocquet
Published: (2023-03-01)

Application of the Trigonometric Polynomial Interpolation for the Estimation of the Vertical Eddy Viscosity Coefficient Based on the Ekman Adjoint Assimilation Model
by: Xinping Wu, et al.
Published: (2022-08-01)

Case Study of a Retrieval Method of 3D Proxy Reflectivity from FY-4A Lightning Data and Its Impact on the Assimilation and Forecasting for Severe Rainfall Storms
by: Yaodeng Chen, et al.
Published: (2020-04-01)

Assimilating Aeolus Satellite Wind Data on a Regional Level: Application in a Mediterranean Cyclone Using the WRF Model
by: Christos Stathopoulos, et al.
Published: (2023-12-01)

Application of GOES-16 Atmospheric Temperature-Profile Data Assimilation in a Hurricane Forecast
by: Zhiying Qian, et al.
Published: (2023-11-01)

Impacts of Multi-Source Microwave Satellite Radiance Data Assimilation on the Forecast of Typhoon Ampil
by: Aiqing Shu, et al.
Published: (2022-09-01)

Impact of Wind Profiler Data Assimilation on Wind Field Assessment over Coastal Areas
by: Soon-Young Park, et al.
Published: (2010-12-01)

Assimilation of GPSRO Bending Angle Profiles into the Brazilian Global Atmospheric Model
by: Ivette H. Banos, et al.
Published: (2019-01-01)

SWING, The Score-Weighted Improved NowcastinG Algorithm: Description and Application
by: Martina Lagasio, et al.
Published: (2022-07-01)

The linearisation of maps in data assimilation
by: Timothy J. Payne
Published: (2013-04-01)

Application of Lightning Data Assimilation for the 10 October 2018 Case Study over Sardinia
by: Rosa Claudia Torcasio, et al.
Published: (2020-05-01)