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Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.

Research & information: general --- Direct Normal Irradiance (DNI) --- IFS/ECMWF --- forecast --- evaluation --- DNI attenuation Index (DAI) --- bias correction --- nowcast --- meteorological radar data --- optical flow --- deep learning --- Bates-Granger weights --- uniform weights --- (REG) ARIMA --- ETS --- Hodrick-Prescott trend --- Google Trends indices --- Himalayan region --- streamflow forecast verification --- persistence --- snow-fed rivers --- intermittent rivers --- costumer relation management --- business to business sales prediction --- machine learning --- predictive modeling --- microsoft azure machine-learning service --- travel time forecasting --- time series --- bus service --- transit systems --- sustainable urban mobility plan --- bus travel time --- learning curve --- forecasting --- production cost --- cost estimating --- semi-empirical model --- logistic map --- COVID-19 --- SARS-CoV-2 --- PV output power estimation --- PV-load decoupling --- behind-the-meter PV --- baseline prediction --- Direct Normal Irradiance (DNI) --- IFS/ECMWF --- forecast --- evaluation --- DNI attenuation Index (DAI) --- bias correction --- nowcast --- meteorological radar data --- optical flow --- deep learning --- Bates-Granger weights --- uniform weights --- (REG) ARIMA --- ETS --- Hodrick-Prescott trend --- Google Trends indices --- Himalayan region --- streamflow forecast verification --- persistence --- snow-fed rivers --- intermittent rivers --- costumer relation management --- business to business sales prediction --- machine learning --- predictive modeling --- microsoft azure machine-learning service --- travel time forecasting --- time series --- bus service --- transit systems --- sustainable urban mobility plan --- bus travel time --- learning curve --- forecasting --- production cost --- cost estimating --- semi-empirical model --- logistic map --- COVID-19 --- SARS-CoV-2 --- PV output power estimation --- PV-load decoupling --- behind-the-meter PV --- baseline prediction

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The 15th Estuarine and Coastal Modeling Conference provides a venue for commercial, academic, and government scientists and engineers from around the world to present and discuss the latest results and techniques in applied estuarine and coastal modeling. Prospective authors are invited to submit papers on a wide range of topic areas, including:• Pollutant Transport and Water Quality Prediction• Coastal Response to Climate Change• Modeling Techniques and Sensitivity Studies• Model Assessment• Modeling Specific Estuarine and Coastal Systems• Visualization and Analysis• Wave and Sediment Transport Modeling• Modeling of Chemicals and Floatables• Oil Spill Transport and Fate Modeling• Inverse Methods• Circulation Modeling• Facility Siting and CSO Studies• Data Assimilation• Nowcast/Forecast Modeling Systems• Modeling Systems with Strong Buoyancy Forcing• Modeling of Coupled Systems• Risk Analysis (Nuclear Reactors, Flood Forecasting)

water level --- stratification --- Chatham Sound --- wave hindcast --- water level time series --- marine construction --- storm surge --- VDatum --- NARR --- estuarine modeling --- ecosystem simulation --- CFSR --- Sandusky Bay --- hydrodynamic modeling --- river discharge --- tidal datums --- British Columbia --- geospatial data visualization --- ocean modeling --- operational forecast --- numerical model --- initial dilution zone --- Puget Sound --- anthropogenic impact --- Finite Volume Community Ocean Model --- Salish Sea --- hydrodynamic numerical model --- compound events --- sea level rise --- marine --- Finite-Volume Community Ocean Model (FVCOM) --- CE-QUAL-W2 --- CICE --- temperature --- barotropic --- statistical interpolation --- unstructured grid --- wind-driven current --- Salish Sea model --- wave energy --- ADCIRC --- sediment transport --- breakwater --- biophysical modeling --- model calibration --- harbor --- Great Lakes --- multi-level nested-grid modeling --- property-carrying particle model --- spatially varying uncertainty (SVU) --- FVCOM --- phytoplankton --- MIKE21SW --- baroclinic --- tidal currents --- climate change --- operational nowcast and forecast system --- tidal constituent database --- spatially varying uncertainty --- momentum balance --- coastal ocean modeling --- eutrophication --- Hood Canal --- flooding --- coupled models --- environmental assessment --- water quality --- nearshore restoration --- SWAN --- Texas --- H3D --- coastal storm --- floating bridge --- wind forcing --- tidal current --- lateral circulation --- zone of influence --- ADvanced CIRCulation model (ADCIRC) --- non-tidal zones --- agriculture --- sediment model --- short-lived radioisotopes --- coastal and estuarine modeling --- Eastern North Pacific Ocean (ENPAC) --- Gulf of Mexico --- cloud computing --- feasibility assessments --- internal tides --- ice modeling --- salinity --- north-east Gulf of Mexico --- data analysis --- Brown Passage --- WaveWatch III --- marine grid population --- channel deepening --- hydrodynamics --- large-wave hindcast --- western Louisiana --- tides --- estuary --- algal growth kinetics --- circulation --- salt wedge