On the sensitivity of different ensemble filters to the type of assimilated observation networks | Paper Citation Record

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This paper cites , " * write output.state after.block = add.period write newline.

On the sensitivity of different ensemble filters to the type of assimilated observation networks , " * write output.state after.block = add.period write newline

Reference 1

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On the sensitivity of different ensemble filters to the type of assimilated observation networks write newline

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 3

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This paper cites L., 2022: A quantile-conserving ensemble filter framework.

On the sensitivity of different ensemble filters to the type of assimilated observation networks L., 2022: A quantile-conserving ensemble filter framework

Reference 4

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This paper cites L., 2023: A quantile-conserving ensemble filter framework.

On the sensitivity of different ensemble filters to the type of assimilated observation networks L., 2023: A quantile-conserving ensemble filter framework

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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On the sensitivity of different ensemble filters to the type of assimilated observation networks P., and C

Reference 7

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This paper cites Learning Optimal Filters Using Variational Inference.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Learning Optimal Filters Using Variational Inference

Reference 8

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 9

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This paper cites N., 2017: A review of operational methods of variational and ensemble-variational data assimilation.

On the sensitivity of different ensemble filters to the type of assimilated observation networks N., 2017: A review of operational methods of variational and ensemble-variational data assimilation

Reference 10

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This paper cites Nonlinear ensemble filtering with diffusion models: Application to the surface quasi-geostrophic dynamics.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Nonlinear ensemble filtering with diffusion models: Application to the surface quasi-geostrophic dynamics

Reference 11

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This paper cites Zhang, and G.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Zhang, and G

Reference 12

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This paper cites Sensors, 19, 2179, doi:https://doi.org/10.3390/s19092179.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Sensors, 19, 2179, doi:https://doi.org/10.3390/s19092179

Reference 13

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Reference 14

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Farchi, T

Reference 15

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Fillion, S

Reference 16

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Anderson, and X

Reference 17

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On the sensitivity of different ensemble filters to the type of assimilated observation networks G., 2025: Exact nonlinear state estimation

Reference 18

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 19

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 20

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This paper cites Bulletin of Atmospheric Science and Technology, 1, 23--42, doi:https://doi.org/10.1007/s42865-020-00003-8.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Bulletin of Atmospheric Science and Technology, 1, 23--42, doi:https://doi.org/10.1007/s42865-020-00003-8

Reference 21

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This paper cites 1st ed., Cambridge University Press.

On the sensitivity of different ensemble filters to the type of assimilated observation networks 1st ed., Cambridge University Press

Reference 22

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 23

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 24

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On the sensitivity of different ensemble filters to the type of assimilated observation networks R., and M

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Vossepoel, and P

Reference 26

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This paper cites J., and Coauthors, 2023: Lognormal and mixed G aussian-lognormal K alman filters.

On the sensitivity of different ensemble filters to the type of assimilated observation networks J., and Coauthors, 2023: Lognormal and mixed G aussian-lognormal K alman filters

Reference 27

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This paper cites Journal of Advances in Modeling Earth Systems, 16, e2023MS003\,692, doi:https://doi.org/10.1029/2023MS003692.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Journal of Advances in Modeling Earth Systems, 16, e2023MS003\,692, doi:https://doi.org/10.1029/2023MS003692

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This paper cites J., and P.

On the sensitivity of different ensemble filters to the type of assimilated observation networks J., and P

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This paper cites J., and Coauthors, 2018: All-sky satellite data assimilation at operational weather forecasting centres.

On the sensitivity of different ensemble filters to the type of assimilated observation networks J., and Coauthors, 2018: All-sky satellite data assimilation at operational weather forecasting centres

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This paper cites Bulletin of the American Meteorological Society, 98, 767--787, doi:https://doi.org/10.1175/BAMS-D-15-00257.1.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Bulletin of the American Meteorological Society, 98, 767--787, doi:https://doi.org/10.1175/BAMS-D-15-00257.1

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This paper cites Quarterly Journal of the Royal Meteorological Society, 144, 1218--1256, doi:https://doi.org/10.1002/qj.3179.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Quarterly Journal of the Royal Meteorological Society, 144, 1218--1256, doi:https://doi.org/10.1002/qj.3179

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 37

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On the sensitivity of different ensemble filters to the type of assimilated observation networks A., and Coauthors, 2021: Assimilation of a coordinated fleet of uncrewed aircraft system observations in complex terrain: EnKF system design and preliminary assessment

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On the sensitivity of different ensemble filters to the type of assimilated observation networks A., and Coauthors, 2022: Assimilation of a coordinated fleet of uncrewed aircraft system observations in complex terrain: Observing system experiments

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Mote, and C

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Flicker, R

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Th\' e paut, R

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Haefele, N

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This paper cites Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Progress in joint OSSEs , 9

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This paper cites Journal of Geophysical Research: Atmospheres, 115, D07\,101, doi:https://doi.org/10.1029/2009JD012528.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Journal of Geophysical Research: Atmospheres, 115, D07\,101, doi:https://doi.org/10.1029/2009JD012528

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Zhang, 2017: Adaptive observation error inflation for assimilating all-sky satellite radiances

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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This paper cites Quarterly Journal of the Royal Meteorological Society, 148, 620--640, doi:https://doi.org/10.1002/qj.4221.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Quarterly Journal of the Royal Meteorological Society, 148, 620--640, doi:https://doi.org/10.1002/qj.4221

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Monthly Weather Review, 144, 59--76, doi:https://doi.org/10.1175/MWR-D-15-0163.1

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Monthly Weather Review, 150, 1475--1493, doi:https://doi.org/10.1175/MWR-D-21-0228.1

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Walter, and A

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Schenk, P

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Snyder, 2008: A generalization of L orenz's model for the predictability of flows with many sclaes of motion

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On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

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This paper cites Reich, A.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Reich, A

Reference 58

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This paper cites Kirchgessner, L.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Kirchgessner, L

Reference 59

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This paper cites an unresolved cited work.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 60

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This paper cites an unresolved cited work.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 61

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This paper cites Shen, 2024: A deep neural network-ensemble adjustment Kalman filter and its application on strongly coupled data assimilation.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Shen, 2024: A deep neural network-ensemble adjustment Kalman filter and its application on strongly coupled data assimilation

Reference 62

Resolution: verified exact; doi, observed 2026-08-15T23:28:52.205015Z

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This paper cites an unresolved cited work.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Unresolved cited work

Reference 63

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This paper cites Bulletin of the American Meteorological Society, 99, 1639--1667, doi:https://doi.org/10.1175/BAMS-D-17-0009.1.

On the sensitivity of different ensemble filters to the type of assimilated observation networks Bulletin of the American Meteorological Society, 99, 1639--1667, doi:https://doi.org/10.1175/BAMS-D-17-0009.1

Reference 64

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