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Global data assimilation enables weather forecasting at all scales and provides valuable data for studying the Earth system.
“MSG’s SEVIRI instrument”
DMA Aminou · 2002
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“MSG’s SEVIRI instrument”
DMA Aminou · 2002
Earlier work this paper cites.
“MSG’s SEVIRI instrument”
DMA Aminou · 2002
Earlier work this paper cites.
“MSG’s SEVIRI instrument”
DMA Aminou · 2002
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“The global land data assimilation system”
Matthew Rodell et al · 2004
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“The global land data assimilation system”
Matthew Rodell et al · 2004
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“The visible infrared imaging radiometer suite”
RE Murphy et al · 2006
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“The visible infrared imaging radiometer suite”
RE Murphy et al · 2006
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“Earth science and applications from space: national imperatives for the next decade and beyond”
National Council et al · 2007
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“The shuttle radar topography mission”
Tom Farr et al · 2007
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“Earth science and applications from space: national imperatives for the next decade and beyond”
National Council et al · 2007
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“The shuttle radar topography mission”
Tom Farr et al · 2007
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“MiRS: An all-weather 1DVAR satellite data assimilation and retrieval system”
Sid-Ahmed Boukabara et al · 2011
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“MiRS: An all-weather 1DVAR satellite data assimilation and retrieval system”
Sid-Ahmed Boukabara et al · 2011
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“Introduction to Suomi national polar-orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications”
F Weng et al · 2012
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“Introduction to Suomi national polar-orbiting partnership advanced technology microwave sounder for numerical weather prediction and tropical cyclone applications”
F Weng et al · 2012
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“Calibration of Suomi national polar-orbiting partnership advanced technology microwave sounder”
Fuzhong Weng et al · 2013
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“Calibration of Suomi national polar-orbiting partnership advanced technology microwave sounder”
Fuzhong Weng et al · 2013
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“Adam: A method for stochastic optimization”
Diederik Kingma and Jimmy Ba · 2014
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“Adam: A method for stochastic optimization”
Diederik Kingma and Jimmy Ba · 2014
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“The quiet revolution of numerical weather prediction”
Peter Bauer, Alan Thorpe and Gilbert Brunet · 2015
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“Made: Masked autoencoder for distribution estimation”
Mathieu Germain, Karol Gregor, Iain Murray and Hugo Larochelle · 2015
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“The quiet revolution of numerical weather prediction”
Peter Bauer, Alan Thorpe and Gilbert Brunet · 2015
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“Made: Masked autoencoder for distribution estimation”
Mathieu Germain, Karol Gregor, Iain Murray and Hugo Larochelle · 2015
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“The case for technology investments in the environment”
Lucas Joppa · 2017
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“A closer look at the ABI on the GOES-R series”
Timothy Schmit et al · 2017
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“The modern-era retrospective analysis for research and applications, version 2 (MERRA-2)”
Ronald Gelaro et al · 2017
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“Masked autoencoders are scalable vision learners”
Kaiming He et al · 2022
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“Multimae: Multi-modal multi-task masked autoencoders”
Roman Bachmann, David Mizrahi, Andrei Atanov and Amir Zamir · 2022
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“Learning skillful medium-range global weather forecasting”
Remi Lam et al · 2023
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“Accurate medium-range global weather forecasting with 3D neural networks”
Kaifeng Bi et al · 2023
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“Skilful nowcasting of extreme precipitation with NowcastNet”
Yuchen Zhang et al · 2023
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“The outlook for AI weather prediction”
Imme Ebert-Uphoff and Kyle Hilburn · 2023
Later among the works it cites.
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“A closer look at the ABI on the GOES-R series”
Timothy Schmit et al · 2017
Cited alongside, same era.
“The case for technology investments in the environment”
Lucas Joppa · 2017
Cited alongside, same era.
“A closer look at the ABI on the GOES-R series”
Timothy Schmit et al · 2017
Cited alongside, same era.
“The modern-era retrospective analysis for research and applications, version 2 (MERRA-2)”
Ronald Gelaro et al · 2017
Cited alongside, same era.
“A closer look at the ABI on the GOES-R series”
Timothy Schmit et al · 2017
Cited alongside, same era.
“Data assimilation in the geosciences: An overview of methods, issues, and perspectives”
Alberto Carrassi, Marc Bocquet, Laurent Bertino and Geir Evensen · 2018
Cited alongside, same era.
“On masked pre-training and the marginal likelihood”
Pablo Moreno-Muñoz, Pol Garcia and Søren Hauberg · 2023
Later among the works it cites.
“Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning”
Colorado Reed et al · 2023
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“On masked pre-training and the marginal likelihood”
Pablo Moreno-Muñoz, Pol Garcia and Søren Hauberg · 2023
Later among the works it cites.
“Learning skillful medium-range global weather forecasting”
Remi Lam et al · 2023
Later among the works it cites.
“Accurate medium-range global weather forecasting with 3D neural networks”
Kaifeng Bi et al · 2023
Later among the works it cites.
“Skilful nowcasting of extreme precipitation with NowcastNet”
Yuchen Zhang et al · 2023
Later among the works it cites.
“The outlook for AI weather prediction”
Imme Ebert-Uphoff and Kyle Hilburn · 2023
Later among the works it cites.
“On masked pre-training and the marginal likelihood”
Pablo Moreno-Muñoz, Pol Garcia and Søren Hauberg · 2023
Later among the works it cites.
“Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning”
Colorado Reed et al · 2023
Later among the works it cites.
“On masked pre-training and the marginal likelihood”
Pablo Moreno-Muñoz, Pol Garcia and Søren Hauberg · 2023
Later among the works it cites.
“4M: Massively Multimodal Masked Modeling”
David Mizrahi et al · 2024
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“4M: Massively Multimodal Masked Modeling”
David Mizrahi et al · 2024
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“The ERA5 global reanalysis”
Hans Hersbach et al · 2049
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“The ERA5 global reanalysis”
Hans Hersbach et al · 2049
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