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Channels - Seamless climate information from months to multiple years: constraining decadal predictions with seasonal predictions and past observations, and their comparison to multi-annual predictions :: FRELIP Discovery
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Seamless climate information from months to multiple years: constraining decadal predictions with seasonal predictions and past observations, and their comparison to multi-annual predictions
Changes of the Seasonal Prediction Skill of SST Anomalies in the Atlantic Main Development Region
The first decade (1929–1939) of atmospheric electricity observations at Świder Geophysical Observatory
A global perspective on past and future change in regional seasonal cycle shape
Emerging global freshwater challenges unveiled through observation-constrained projections
A comparative analysis of laboratory, in-situ, and observational methods for predicting the magnitude and duration of consolidation settlement: Northern Marmara highway case history
At-a-site and between-site variability of bedload transport, inferred from continuous surrogate monitoring, and comparison to predictive equations
Comparison of Statistical Models for the Prediction of the Ecological Niche of Fusarium oxysporum f. sp. cubense and its Implication in the Phytosanitation of Agricultural soils
Seasonal Analysis and Multivariate Forecasting of Monthly Precipitation in Jipijapa, Manabí, Using ARIMA, ETS, NNAR, and Prophet Models (2000–2024)
Spatiotemporal variation in rainfall predictability in Serbia under a changing climate
Constraining the wavefield of volcano-seismic events on Mt. Etna, Italy through a rotational sensor and seismic array observations
Predicting Post-Fire Change in West Virginia, USA from Remotely-Sensed Data
Detecting Regimes of Critical Zone Processes, Drivers and Predictability With a Data‐Driven Framework
An EOF-Based Emulator of Means and Covariances of Monthly Climate Fields
Improving dynamical climate predictions with machine learning: insights from a twin experiment framework
Long Term Assimilation of Directional Wave Data From CFOSAT in the Wave Prediction Model MFWAM
Trends in Annual Maximum Sub‐Daily to Daily Precipitation Over Australia
Image-based prediction of particle size distribution in recycled stabilized soils using convolutional neural networks
Beyond static forecasts: a dynamic stress gradient framework for high-resolution aftershock prediction and mitigation
An integrated deep learning framework enables rapid spatiotemporal morphodynamic predictions toward long-term simulations
Physics‐Informed Digital Twin for Predicting Permafrost Thermodynamic Characteristics Under an Embankment Road in Utqiaġvik, Alaska
DYNAMIC COASTAL LAND CHANGES AND PREDICTIVE MODELLING ASSESSMENT: FORMATION, DEFORMATION, AND FUTURE SCENARIOS IN THE COASTAL REGIONS OF BANGLADESH
Never Train a Deep Learning Model on a Single Well? Revisiting Training Strategies for Groundwater Level Prediction
Disappearing glaciers of Sikkim Himalaya: a multi-decadal remote sensing analysis
Clouds Over Delhi‐NCR: Three‐Year Analysis of Cloud Base Height, Types, and Seasonal Variability From Ceilometer Depolarization Measurements