Results 11 to 20 of about 1,024,956 (306)
Improved Skills for Predicting Sub‐Seasonal to Seasonal Global Sea Surface Temperature [PDF]
Advanced Science, EarlyView.Addressing the critical Sub‐seasonal to Seasonal predictability gap, this study presents CAS‐Canglong, a novel deep learning framework. By leveraging 3D Swin‐Transformers to capture long‐range ocean interactions, the model demonstrates superior skill over traditional GCMs.
Longhao Wang +6 more
wiley +2 more sources
Modelling Deterministic Seasonality with Artificial Neural Networks for Time Series Forecasting [PDF]
, 2010 This study explores both from a theoretical and empirical perspective how to model deterministic seasonality with artificial neural networks (ANN) to achieve the best forecasting accuracy.
Crone, S, Kourentzes, N
core +4 more sources
Forecasting seasonal outbreaks of influenza [PDF]
Proceedings of the National Academy of Sciences, 2012 Influenza recurs seasonally in temperate regions of the world; however, our ability to predict the timing, duration, and magnitude of local seasonal outbreaks of influenza remains limited. Here we develop a framework for initializing real-time forecasts of seasonal influenza outbreaks, using a data assimilation technique commonly applied in numerical ...
Jeffrey, Shaman, Alicia, Karspeck
openaire +2 more sources
Remote Sensing, 2023 Surface soil moisture (SSM) and root-zone soil moisture (RZSM) are key hydrological variables for the agricultural water cycle and vegetation growth.
Lei Xu +5 more
doaj +1 more source
Weather and Climate Extremes, 2015 Dynamical models are now widely used to provide forecasts of above or below average seasonal mean temperatures and precipitation, with growing interest in their ability to forecast climate extremes on a seasonal time scale.
Acacia S. Pepler +4 more
doaj +1 more source
Short-term load forecasting in smart meters with sliding window-based ARIMA algorithms
Vietnam Journal of Computer Science, 2018 Forecasting of electricity consumption for residential and industrial customers is an important task providing intelligence to the smart grid. Accurate forecasting should allow a utility provider to plan the resources as well as to take control actions ...
Dima Alberg, Mark Last
doaj +1 more source
A Seasonal Model Using Optimized Multi-Layer Neural Networks to Forecast Power Output of PV Plants
Energies, 2018 With the continuous increase of grid-connected photovoltaic (PV) installed capacity and the urgent demand of synergetic utilization with the other power generation forms, the high-precision prediction of PV power generation is increasingly important for ...
Yang Hu +4 more
doaj +1 more source
Skilful seasonal forecasts of streamflow over Europe? [PDF]
Hydrology and Earth System Sciences, 2018 This paper considers whether there is any added value in using seasonal climate forecasts instead of historical meteorological observations for forecasting streamflow on seasonal timescales over Europe. A Europe-wide analysis of the skill of the newly
L. Arnal +13 more
doaj +1 more source
Sources of skill in lake temperature, discharge and ice-off seasonal forecasting tools [PDF]
Hydrology and Earth System Sciences, 2023 Despite high potential benefits, the development of seasonal forecasting tools in the water sector has been slower than in other sectors. Here we assess the skill of seasonal forecasting tools for lakes and reservoirs set up at four sites in Australia ...
F. Clayer +19 more
doaj +1 more source
Model evaluation for seasonal forecasting over southern Africa [PDF]
, 2011 Includes bibliographical references.This study contributes to a broader effort of institutions toward improving seasonal forecasts over southern Africa.
Browne, Nana Ama Kum
core +1 more source