We invite contributions on all aspects of Meteorology and Climate for Renewable Energy (RE):
• Energy: wind, solar, hydro, tidal, wave, geothermal etc
• Spatial: microscale, mesoscale, synoptic and global
• Temporal: seconds, minutes, diurnal, seasonal, interannual, decadal and climatological
• Approach: measurement, modeling
The success of wind power has pushed turbines and research need into increasingly complex environments — mountainous terrain, forested areas, high in boundary layer and offshore. For solar power, new installation sites such as floating PV both rivers, water reservoirs for artificial snow, and “alpine PV farms” are gaining more attention. We need accurate measurements and short-term forecasts of cloud fields and aerosol effects. For weather-dependent renewables, the challenge of integrating shares into the power grid requires advances in understanding forecast uncertainty and spatio-temporal variability. Furthermore, meteorological conditions define how much power can be sent through the power grid and could help prevent curtailment or negative energy pricing.
Specifically, we invite contributions including but not limited to:
• Measurement techniques and analysis for e.g., wind, solar, hydro, and marine resources.
• Wind conditions (resource, extremes, turbulence) on all scales in complex environments (mountains, forests, coastal, offshore, urban).
• Wake effect models and measurements
• Forecast performance and uncertainty of RE at different time horizons
• Forecasts and detection of extreme and adverse weather events (wind ramps, droughts, heatwaves, storms, compound and consecutive)
• Detection and forecasting of dynamic line rating suitable conditions
• RE resource and atlas development (wind, solar, hydro, wave, thermal)
• Hydro-meteorological analyses of inflow variability, snowpack, precipitation extremes, and their implications for hydropower
• Tidal and wave resource assessment and predictability
• Impacts of renewable power plants or their large-scale integration on local, regional, and global scales
• Tools for strategic planning of RE in urban areas and smart energy systems.
• Climate Change Impact studies for renewables and weather-driven energy demand
• Interannual to decadal variability of renewable resources
• Typical Meteorological Years and probability of exceedance metrics
• AI and Machine Learning for weather and climate forecasting and applications to RE