Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems | Paper Citation Record

Observation 3e0749ea-dd90-46e5-89fb-b9cf1db8fd05 · outbound

This paper cites Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet

Reference 1

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This paper cites Al-Ghattas, J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Al-Ghattas, J

Reference 2

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This paper cites Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters

Reference 3

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Observation 6bf2467e-3f9f-44af-a191-0a547d6fd733 · outbound

This paper cites Optimal Estimation of Structured Covariance Operators.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Optimal Estimation of Structured Covariance Operators

Reference 4

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This paper cites Al-Ghattas and D.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Al-Ghattas and D

Reference 5

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 6

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Observation 244bd08d-1fc9-410c-becc-47890f2131e6 · outbound

This paper cites Arcucci, J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Arcucci, J

Reference 7

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Observation c3aa5dbb-84d4-40af-8b6a-287a425d81f9 · outbound

This paper cites Azouani, E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Azouani, E

Reference 8

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This paper cites Machine Learning for Inverse Problems and Data Assimilation.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Machine Learning for Inverse Problems and Data Assimilation

Reference 9

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This paper cites Bessaih, E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Bessaih, E

Reference 10

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 11

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 12

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Observation bf71937b-0626-43dc-a785-6d2e43ef7b25 · outbound

This paper cites A unified framework for the analysis of accuracy and stability of a class of approximate Gaussian filters for the Navier-Stokes Equations.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems A unified framework for the analysis of accuracy and stability of a class of approximate Gaussian filters for the Navier-Stokes Equations

Reference 13

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This paper cites Bocquet , Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation, Frontiers in Applied Mathematics and Statistics, 9 (2023), p.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Bocquet , Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation, Frontiers in Applied Mathematics and Statistics, 9 (2023), p

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.736556Z

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This paper cites Bocquet, J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Bocquet, J

Reference 15

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This paper cites Brajard, A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Brajard, A

Reference 16

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This paper cites Branicki, A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Branicki, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.691574Z

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This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.676386Z

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Observation 88e985a4-f69c-48d5-b720-c70f288a266c · outbound

This paper cites Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting

Reference 19

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This paper cites Ensemble Kalman Methods: A Mean Field Perspective.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Ensemble Kalman Methods: A Mean Field Perspective

Reference 20

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Observation a7dbce6a-087b-4ab2-bc23-b6dae653f5c3 · outbound

This paper cites Carlson, A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Carlson, A

Reference 21

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This paper cites Carlson, A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Carlson, A

Reference 22

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This paper cites Carrillo, F.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Carrillo, F

Reference 23

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This paper cites Chattopadhyay, M.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Chattopadhyay, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.647033Z

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This paper cites Chattopadhyay, E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Chattopadhyay, E

Reference 25

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 26

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This paper cites Chen , Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models, Springer Nature, 2023.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Chen , Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models, Springer Nature, 2023

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.616568Z

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This paper cites Chen and Y.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Chen and Y

Reference 28

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 29

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This paper cites Cheng, C.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Cheng, C

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.571074Z

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Ding and Q

Reference 31

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Ding and Q

Reference 32

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 33

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 34

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This paper cites Evensen, F.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Evensen, F

Reference 35

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This paper cites F archi, P.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems F archi, P

Reference 36

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This paper cites Foias, C.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Foias, C

Reference 37

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This paper cites Furrer and T.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Furrer and T

Reference 38

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This paper cites González-Tokman and B.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems González-Tokman and B

Reference 39

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 40

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 41

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Observation d2276441-db2e-4ae7-a029-028ed83ad8bc · outbound

This paper cites Hamilton, T.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Hamilton, T

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.389785Z

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This paper cites Hatfield, M.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Hatfield, M

Reference 43

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This paper cites Hayden, E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Hayden, E

Reference 44

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Observation 1893181f-4afb-4eb9-a6c8-a64ec5f2db65 · outbound

This paper cites Herty and G.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Herty and G

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.343990Z

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Observation 87e2e15e-9d92-47c7-8843-56066f576700 · outbound

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 46

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Observation aea32fb6-ad93-4f4b-81f1-9bdc93e732b0 · outbound

This paper cites Jiang, P.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Jiang, P

Reference 47

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Observation a14588ac-fbff-4f99-aae0-0fc84039c3aa · outbound

This paper cites Kalnay, Atmospheric Modeling, Data Assimilation and Predictability, vol.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Kalnay, Atmospheric Modeling, Data Assimilation and Predictability, vol

Reference 48

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Observation 88994fbb-a850-4802-bfc8-60ef9a5ef90c · outbound

This paper cites Katzfuss, J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Katzfuss, J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.282329Z

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 50

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Observation bb6f646e-67fd-4454-acfb-473b41fc1ff9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Adam: A Method for Stochastic Optimization

Reference 51

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Observation 78eb6786-1325-4506-8302-d287e1bc5d30 · outbound

This paper cites Kotsuki, K.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Kotsuki, K

Reference 52

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Observation 013e3156-0f2a-4334-960e-87abf2edf014 · outbound

This paper cites Krasnopolsky and E.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Krasnopolsky and E

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.252020Z

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Observation 835d6d33-4369-4799-baec-8a3837a1a6b6 · outbound

This paper cites Kwiatkowski and J.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Kwiatkowski and J

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.236882Z

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Observation a7c1f714-b0e5-4196-bff6-87e9b1646bc7 · outbound

This paper cites GraphCast: Learning skillful medium-range global weather forecasting.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems GraphCast: Learning skillful medium-range global weather forecasting

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:04.827446Z

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.221450Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 240c9d8d-ddab-4009-8c2c-f113cc5dbfd0 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.205762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ebd98d82-2dc2-4bc7-a5df-2256a81cec5f · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.190422Z

Source-reported events for the cited work

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Observation 0272d85b-c599-408d-873a-2fa45b311f59 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.175143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1fe388fc-02a2-47c7-a1f0-a36e62bfa269 · outbound

This paper cites Le Gland, V.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Le Gland, V

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.160110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e7d5485-f33d-4f99-bf11-a1698c7013bd · outbound

This paper cites Mandel, L.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Mandel, L

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.144311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 432defd7-adc2-44ba-ba94-5abb4d979c24 · outbound

This paper cites Maulik, V.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Maulik, V

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.129232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4095d7ad-5803-476a-84b9-8493245ece0b · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.114200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bda4da04-c40c-4382-b4f4-4a3c90bc7d91 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.098932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b63e8ac4-ad87-4bca-98e5-ee8e6bdec6fb · outbound

This paper cites Mourtada, Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices, The Annals of Statistics, 50 (2022), pp.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Mourtada, Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices, The Annals of Statistics, 50 (2022), pp

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.083824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2b6ee8d3-90ff-440e-af99-86edd54dbaad · outbound

This paper cites EM-like Learning Chaotic Dynamics from Noisy and Partial Observations.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems EM-like Learning Chaotic Dynamics from Noisy and Partial Observations

Reference 66

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4192888f-4cc8-4461-ad5b-1e3f57adf655 · outbound

This paper cites ClimaX: A foundation model for weather and climate.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems ClimaX: A foundation model for weather and climate

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:04.884277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435da7d1-ed99-46e2-95cc-53192a72a6a0 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.067851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4f2b39aa-220c-49ce-bca6-aea6e5d95482 · outbound

This paper cites When are dynamical systems learned from time series data statistically accurate?.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems When are dynamical systems learned from time series data statistically accurate?

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:04.893494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fb48bab-9c86-4d18-9104-8a008d337dcc · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:04.898234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b2ea67-005a-4d24-a604-a7b16a4dfec3 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.052580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c2d6c36-8081-4fe4-a37f-20abbbe78f1f · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.037165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08d48a7b-f195-4905-ba06-fab7223c29d1 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:06.022253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0ee0b04-1f0b-4199-b8d6-2f7de9388225 · outbound

This paper cites Sanz-Alonso, A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Sanz-Alonso, A

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:06.007197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae3e9b31-77ce-4416-b4c5-715468e86a8f · outbound

This paper cites Sanz-Alonso and A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Sanz-Alonso and A

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:05.991259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a68f2cb4-d317-44dd-bb1e-a2c3bc175c58 · outbound

This paper cites Sanz-Alonso and N.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Sanz-Alonso and N

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:05.976138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1baca5d5-00b4-476a-a656-05e8cec5632e · outbound

This paper cites Stuart and A.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Stuart and A

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:05.960182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7277ac64-d7c0-4c7d-b80f-ab8d95532fde · outbound

This paper cites Takeda and T.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Takeda and T

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:04.937373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b838c0b-9e79-40d7-bc36-2eb748094ef7 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:04.942499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11fed929-2eff-4b64-a4b6-4cf5429f03a5 · outbound

This paper cites Temam, Navier–Stokes Equations and Nonlinear Functional Analysis, SIAM, 1995.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Temam, Navier–Stokes Equations and Nonlinear Functional Analysis, SIAM, 1995

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:05.943228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e05be785-be43-4537-88ab-2a54cf965a7a · outbound

This paper cites Exploring the Use of Machine Learning Weather Models in Data Assimilation.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Exploring the Use of Machine Learning Weather Models in Data Assimilation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:04.952519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16f1a89b-0f77-4946-bdd7-5621d77c8e02 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:05.926589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 289edd03-4261-4fcf-9e3a-8152d67cd986 · outbound

This paper cites an unresolved cited work.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:28:05.909528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab89583d-4434-4369-ab38-1932ec01882e · outbound

This paper cites Tsuyuki and R.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems Tsuyuki and R

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:28:05.891986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12850eef-29c6-496d-a9c3-87320b21bffd · outbound

This paper cites FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation.

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T12:28:04.974205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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