Session: High-Resolution Solar Energy Monitoring and Forecast from Satellite Observations and Model Forecasts I eLightning (AGU Fall Meeting 2018)

GC44D:
High-Resolution Solar Energy Monitoring and Forecast from Satellite Observations and Model Forecasts I eLightning

Session ID#: 62981

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, Pietro Elia Campana, Mälardalen university, Västerås, Sweden and Tao He, Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China

OSPA Liaison: Tao He, Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China

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:

Incorporating Observed Solar Variability into Model Forecasts: New Developments in WRF-Solar v2 (Invited) (344835)

Laura Riihimaki, Pacific Northwest National Lab, Richland, United States, Larry K Berg, Pacific Northwest National Laboratory, Richland, WA, United States, Branko Kosovic, Johns Hopkins University, Ralph O'Connor Sustainable Energy Institute, Baltimore, MD, United States, James R McCaa, 3TIER, Vaisala, Seattle, WA, United States and Kathleen O Lantz, NOAA Global Monitoring Laboratory, Boulder, CO, United States

Probabilistic Forecasting of solar energy generation using numerical modeling and remote sensing (395120)

Guido Cervone, Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States and Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, CO, United States

Intercomparison of machine learning algorithms for satellite derived estimates of essential climate variables (441386)

Meredith G. L. Brown, University of Maryland College Park, College Park, United States, Dongdong Wang, University of Maryland College Park, Department of Geographical Sciences, College Park, United States and Shunlin Liang, Univ Maryland, College Park, United States

Validation of Shortwave Downward Radiation in Mountainous Areas Based on Field Observations (402555)

Yiyi Tong¹, Guangjian Yan^1,2, Qing Chu¹, Kai Yan³, Yingji Zhou¹, Yanan Liu¹, Jianbo Qi⁴ and Xihan Mu^1,2, (1)Beijing Normal University, Faculty of Geographical Science, Beijing, China, (2)State Key Laboratory of Remote Sensing Science, Beijing, China, (3)China University of Geosciences, School of Land Science and Techniques, Beijing, China, (4)Beijing Forestry University, College of Forestry, Beijing, China

Estimation of instantaneous and daily solar radiation using an optimization-based method: from MODIS to VIIRS (436703)

Yi Zhang¹, Tao He², Shunlin Liang¹, Dongdong Wang³ and Yunyue Yu⁴, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China, (3)University of Maryland College Park, Department of Geographical Sciences, College Park, United States, (4)NOAA, STAR, College Park, MD, United States