GC31I:
High-Resolution Solar Energy Monitoring and Forecast from Satellite Observations and Model Forecasts II Posters


Submit an Abstract to this Session


Session ID#: 51869

Session Description:
Solar energy is a clean and renewable source, which is beneficial for climate mitigation and sustainable development. To monitor and forecast electricity generation from solar plants, the estimation of solar radiation is required. Existing radiation datasets, including satellite-derived and reanalysis data, have been used for climate and environment studies. In the solar energy applications, satellite observations were mainly used in solar energy potential mapping. There is an increasing need for dynamic energy estimation with high spatial and temporal resolution for some energy and power applications and models. The new generation satellites provide observations at sub-kilometer and sub-hourly resolutions and help improve the accuracy and usability of solar radiation estimation in energy monitoring and forecast. This session will focus on high-resolution satellite algorithm, products, modeling, and applications of solar energy, which will help both scientists and engineers to know about the data availability and to improve energy forecasts and plants monitoring.
Primary Convener:  Yi Zhang, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Conveners:  Tao He, Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China, Pietro Elia Campana, KTH Royal Institute of Technology & Mälardalen University, Stockholm, Sweden and Yelu Zeng, Carnegie Institution for Science Stanford, Stanford, CA, United States
Primary Liaison:  Yi Zhang, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Chairs:  Yi Zhang, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, Tao He, Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China and Pietro Elia Campana, Mälardalen university, Västerås, Sweden
OSPA Liaison:  Pietro Elia Campana, Mälardalen university, Västerås, Sweden
Co-Organized with:
Global Environmental Change, and Earth and Space Science Informatics

Cross-Listed:
  • IN - Earth and Space Science Informatics

Proposed Co-Organized Session with:
  • IN - Earth and Space Science Informatics
Index Terms:

0321 Cloud/radiation interaction [ATMOSPHERIC COMPOSITION AND STRUCTURE]
1605 Abrupt/rapid climate change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
1952 Modeling [INFORMATICS]

Abstracts Submitted to this Session:

Satellite estimation of high-resolution solar radiation incident on Earth’s surface: Synthesis and review (Invited) (428000)
Shunlin Liang, University of Maryland College Park, Department of Geographical Sciences, College Park, United States
Atmospheric Aerosols Effect on Solar Panels Efficiency in Saudi Arabia and United Arab Emirates using Integrated Satellite Observations and Modeling Techniques (349272)
Ashraf Farahat, King Fahd University of Petroleum & Minerals, Dhanran, Saudi Arabia, Bassam Tawabini, King Fahd University of Petroleum & Minerals, College of Petroleum Engineering and Geosciences, Dhahran, Saudi Arabia, Abdelgadir Abuelgasim, United Arab Emirates University, Department of Geography, Al Ain, United Arab Emirates and Maher A Dayeh, Southwest Research Institute, San Antonio, United States
Estimation of surface ultraviolet irradiance using OMI derived total ozone and UV reflectivity over East Asia (424587)
Hana Lee, Korea Meteorological Institute, Seoul, South Korea, Jhoon Kim, Yonsei University, Seoul, Korea, Republic of (South) and Ukkyo Jeong, Goddard Space Flight Center, NASA, Maryland, United States
Modelling the diffuse component of solar radiation using artificial intelligence techniques (381266)
Pietro Elia Campana1, Fu Cheng2, Eva Nordlander3, Sandra M. Andersson4, Tomas Landelius4, Bengt Stridh3 and *Jinyue Yan1, (1)KTH Royal Institute of Technology & Mälardalen University, Stockholm, Sweden, (2)University of Zurich, Zurich, Switzerland, (3)Mälardalen University, Vasteras, Sweden, (4)Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Estimating Global Land Surface Downward Shortwave Radiation using Moderate Resolution Imaging Spectroradiometer (MODIS) Data (424764)
Xiaotong Zhang, Beijing Normal University, Beijing, China, Shunlin Liang, Univ Maryland, College Park, United States and Dongdong Wang, University of Maryland College Park, Department of Geographical Sciences, College Park, United States
An Physically Based Method For Estimating Instantaneous and Daily Downward Shortwave Radiation from Combined Polar-orbiting and Geostationary Satellite Data (400910)
Hailong Zhang1, Xiaozhou Xin2, Li Li3, Shanshan Yu2 and Liu Qinhuo4, (1)Organization Not Listed, Washington, DC, United States, (2)Institute of Remote Sensing and Digital Earth, Beijing, China, (3)institute of remote sensing and digital earth,CAS, Beijing, China, (4)Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Intraday Cloud Cover Forecasting Using Geostationary Meteorological Satellite Images (403958)
Mathieu Turpin, Sylvain Cros, Caroline Lallemand, Frederik Kurzrock and Marion Monchalin, Reuniwatt, Sainte-Clotilde, Reunion

See more of: Global Environmental Change