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Data assimilation (DA), as an indispensable component within contemporary Numerical Weather Prediction (NWP) systems, plays a crucial role in generating the analysis that significantly impacts forecast performance.
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A review of operational methods of variational and ensemble-variational data assimilation
Ross N Bannister · 2017
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Developing the science product algorithm testbed for chinese next-generation geostationary meteorological satellites: Fengyun-4 series
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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All-sky satellite data assimilation at operational weather forecasting centres
Alan J Geer, Katrin Lonitz, Peter Weston, Masahiro Kazumori, Kozo Okamoto, Yanqiu Zhu, Emily Huichun Liu, Andrew Collard, William Bell, Stefano Migliorini, et al · 2018
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Assimilation of satellite data in numerical weather prediction. part ii: Recent years
JR Eyre, W Bell, J Cotton, SJ English, M Forsythe, SB Healy, and EG Pavelin · 2022
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Sibo Cheng and Mingming Qiu · 2022
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Modelling the Background Error Covariance Matrix: Applicability Over the Maritime Continent
Joshua Chun Kwang Lee and Xiang-Yu Huang · 2022
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Accurate medium-range global weather forecasting with 3d neural networks
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian · 2023
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Fuxi: a cascade machine learning forecasting system for 15-day global weather forecast
Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi, and Hao Li · 2023
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Learning skillful medium-range global weather forecasting
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, et al · 2023
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Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Sibo Cheng, César Quilodrán-Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, et al · 2023
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Neural-network data assimilation using variational autoencoder
Boštjan Melinc and Žiga Zaplotnik · 2023
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2022 ecmwf-esa workshop report: current status, progress and opportunities in machine learning for earth system observation and prediction
Massimo Bonavita, Rochelle Schneider, Rossella Arcucci, Matthew Chantry, Marcin Chrust, Alan Geer, Bertrand Le Saux, and Claudia Vitolo · 2023
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https://www.ecmwf.int/en/research/data-assimilation/observations
Observations used in ECMWF · 2024
Closest in time.
http://www.nsmc.org.cn/nsmc/en/instrument/AGRI.html
Fengyun-4B/AGRI observation · 2024
Closest in time.