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Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2014gl059388openalex-snapshot
Predicting September sea ice: Ensemble skill of the SEARCH Sea Ice Outlook 2008-2013
inferredcites →https://doi.org/10.1002/2015gl065364openalex-snapshot
Predicted slowdown in the rate of Atlantic sea ice loss
inferredcites →https://doi.org/10.1002/2015gl065860openalex-snapshot
Model forecast skill and sensitivity to initial conditions in the seasonal Sea Ice Outlook
inferredcites →https://doi.org/10.1002/2016ef000495openalex-snapshot
Skillful spring forecasts of September Arctic sea ice extent using passive microwave sea ice observations
inferredcites →https://doi.org/10.1002/qj.2401openalex-snapshot
A review on Arctic sea‐ice predictability and prediction on seasonal to decadal time‐scales
inferredcites →https://doi.org/10.1002/qj.3803openalex-snapshot
The ERA5 global reanalysis
inferredcites →https://doi.org/10.1007/s00382-014-2181-xopenalex-snapshot
The skill of atmospheric linear inverse models in hindcasting the Madden–Julian Oscillation
inferredcites →https://doi.org/10.1007/s00382-016-3375-1openalex-snapshot
Seasonal and decadal forecasts of Atlantic Sea surface temperatures using a linear inverse model
inferredcites →https://doi.org/10.1007/s00382-016-3388-9openalex-snapshot
Multi-model seasonal forecast of Arctic sea-ice: forecast uncertainty at pan-Arctic and regional scales
inferredcites →https://doi.org/10.1007/s00382-018-4323-zopenalex-snapshot
Remote and local influences in forecasting Pacific SST: a linear inverse model and a multimodel ensemble study
inferredcites →https://doi.org/10.1007/s00382-018-4461-3openalex-snapshot
Robustness of Arctic sea-ice predictability in GCMs
inferredcites →https://doi.org/10.1016/0022-1694(70)90255-6openalex-snapshot
River flow forecasting through conceptual models part I — A discussion of principles
inferredcites →https://doi.org/10.1016/0167-2789(96)00124-8openalex-snapshot
A stochastic model of IndoPacific sea surface temperature anomalies
inferredcites →https://doi.org/10.1029/2001gl014575openalex-snapshot
Recent and future changes in Arctic sea ice simulated by the HadCM3 AOGCM
inferredcites →https://doi.org/10.1029/2006gl026216openalex-snapshot
A long‐range forecast of Arctic summer sea‐ice minimum extent
inferredcites →https://doi.org/10.1029/2007gl032043openalex-snapshot
A younger, thinner Arctic ice cover: Increased potential for rapid, extensive sea‐ice loss
inferredcites →https://doi.org/10.1029/2007jc004259openalex-snapshot
Seasonal predictions of ice extent in the Arctic Ocean
inferredcites →https://doi.org/10.1029/2011gl048739openalex-snapshot
The reversibility of sea ice loss in a state-of-the-art climate model
inferredcites →https://doi.org/10.1029/2011gl048807openalex-snapshot
Influence of initial conditions and climate forcing on predicting Arctic sea ice
inferredcites →https://doi.org/10.1029/2011gl049303openalex-snapshot
Changing seasonal sea ice predictor relationships in a changing Arctic climate
inferredcites →https://doi.org/10.1029/2011jd016709openalex-snapshot
September Arctic sea ice predicted to disappear near 2°C global warming above present
inferredcites →https://doi.org/10.1029/2018ms001400openalex-snapshot
Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO 2
inferredcites →https://doi.org/10.1029/2019gl085666openalex-snapshot
Nonstationary Teleconnection Between the Pacific Ocean and Arctic Sea Ice
inferredcites →https://doi.org/10.1029/2019ms001778openalex-snapshot
Linear Inverse Modeling for Coupled Atmosphere‐Ocean Ensemble Climate Prediction
inferredcites →https://doi.org/10.1029/2019ms001916openalex-snapshot
The Community Earth System Model Version 2 (CESM2)
inferredcites →https://doi.org/10.1029/2019ms002015openalex-snapshot
The GFDL Earth System Model Version 4.1 (GFDL‐ESM 4.1): Overall Coupled Model Description and Simulation Characteristics
inferredcites →https://doi.org/10.1029/2020gl091784openalex-snapshot
On the Origin of Discrepancies Between Observed and Simulated Memory of Arctic Sea Ice
inferredcites →https://doi.org/10.1038/497431aopenalex-snapshot
Arctic sea ice needs better forecasts
inferredcites →https://doi.org/10.1038/s41467-021-25257-4openalex-snapshot
Seasonal Arctic sea ice forecasting with probabilistic deep learning
inferredcites →https://doi.org/10.1038/s41561-019-0363-1openalex-snapshot
Arctic sea-ice variability is primarily driven by atmospheric temperature fluctuations
inferredcites →https://doi.org/10.1038/s41598-020-73211-zopenalex-snapshot
Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman mode decomposition
inferredcites →https://doi.org/10.1073/pnas.1214212110openalex-snapshot
New Trans-Arctic shipping routes navigable by midcentury
inferredcites →https://doi.org/10.1080/15022250.2010.521686openalex-snapshot
Polar Tourism: Definitions and Dimensions
inferredcites →https://doi.org/10.1126/science.1139426openalex-snapshot
Perspectives on the Arctic's Shrinking Sea-Ice Cover
inferredcites →https://doi.org/10.1175/1520-0469(1982)039<1663:tigodi>2.0.co;2openalex-snapshot
The Initial Growth of Disturbances in a Baroclinic Flow
inferredcites →https://doi.org/10.1175/2007jcli1849.1openalex-snapshot
Forecasting Pacific SSTs: Linear Inverse Model Predictions of the PDO
inferredcites →https://doi.org/10.1175/2008jcli2659.1openalex-snapshot
How Important Is Air–Sea Coupling in ENSO and MJO Evolution?
inferredcites →https://doi.org/10.1175/2010jcli3775.1openalex-snapshot
Persistence and Inherent Predictability of Arctic Sea Ice in a GCM Ensemble and Observations
inferredcites →https://doi.org/10.1175/bams-d-11-00094.1openalex-snapshot
An Overview of CMIP5 and the Experiment Design
inferredcites →https://doi.org/10.1175/bams-d-13-00255.1openalex-snapshot
The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability
inferredcites →https://doi.org/10.1175/bams-d-14-00233.1openalex-snapshot
Climate Variability and Change since 850 CE: An Ensemble Approach with the Community Earth System Model
inferredcites →https://doi.org/10.1175/bams-d-14-00246.1openalex-snapshot
Advancing Polar Prediction Capabilities on Daily to Seasonal Time Scales
inferredcites →https://doi.org/10.1175/jcli-d-11-00326.1openalex-snapshot
Last Millennium Climate and Its Variability in CCSM4
inferredcites →https://doi.org/10.1175/jcli-d-14-00354.1openalex-snapshot
Arctic Sea Ice Reemergence: The Role of Large-Scale Oceanic and Atmospheric Variability*
inferredcites →https://doi.org/10.1175/jcli-d-15-0858.1openalex-snapshot
Arctic Sea Ice Seasonal Prediction by a Linear Markov Model
inferredcites →https://doi.org/10.1175/jcli-d-19-0034.1openalex-snapshot
Changing Seasonal Predictability of Arctic Summer Sea Ice Area in a Warming Climate
inferredcites →https://doi.org/10.1175/jcli-d-19-0179.1openalex-snapshot
The Value of Sustained Ocean Observations for Sea Ice Predictions in the Barents Sea
inferredcites →https://doi.org/10.1175/jcli-d-19-0555.1openalex-snapshot
The Critical Role of Non-Normality in Partitioning Tropical and Extratropical Contributions to PNA Growth
inferredcites →https://doi.org/10.1175/jcli-d-20-0291.1openalex-snapshot
Impact of Annual Cycle on ENSO Variability and Predictability
inferredcites →https://doi.org/10.1175/jcli3428.1openalex-snapshot
Maintenance of the Sea-Ice Edge
inferredcites →https://doi.org/10.1175/waf1038.1openalex-snapshot
Long-Range Prediction of the Shipping Season in Hudson Bay: A Statistical Approach
inferredcites →https://doi.org/10.5194/gmd-9-1937-2016openalex-snapshot
Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
inferredcites →https://doi.org/10.5194/tc-15-325-2021openalex-snapshot
Year-round impact of winter sea ice thickness observations on seasonal forecasts
inferredcites →https://doi.org/10.5194/tc-9-269-2015openalex-snapshot
Arctic sea ice thickness loss determined using subsurface, aircraft, and satellite observations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4681562openalex-extracted
inferred← citeshttps://doi.org/10.1007/s11802-026-6411-8openalex-snapshot
Spatiotemporal Variation Analysis of Ice-Free Operating Area in the Barents Sea Using a Stochastic Model
inferred← citeshttps://doi.org/10.1016/j.eneco.2024.107591openalex-snapshot
Global, Arctic, and Antarctic sea ice volume predictions using score-driven threshold climate models
inferred← citeshttps://doi.org/10.1016/j.polar.2025.101308openalex-snapshot
Multivariate deep learning approach to forecast of an ice-free Arctic summer under the SSP2-4.5 and SSP5-8.5 scenarios
inferred← citeshttps://doi.org/10.1029/2024gl112835openalex-snapshot
Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
inferred← citeshttps://doi.org/10.1029/2024ms004513openalex-snapshot
Notes on Parameterized Energy Pathways in the Ocean: Insights From Stochastic and Deterministic Kinetic Energy Injection
inferred← citeshttps://doi.org/10.1029/2025jc023413openalex-snapshot
Medium‐Range Predictability of the Wintertime Bering Sea Ice Edge Using Linear Inverse Modeling
inferred← citeshttps://doi.org/10.5194/acp-25-15033-2025openalex-snapshot
Emulating chemistry-climate dynamics with a linear inverse model
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