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Session Proposal: Atmospheric Observations and Modeling for Renewable Energy Applications (AGU25)

A029
Atmospheric Observations and Modeling for Renewable Energy Applications

Session ID#: 249328

Session Description:
Accurate atmospheric observations and modeling are fundamental to the renewable energy sector, especially for the assessment and forecasting of wind and solar resources. This session invites contributions at the intersection of atmospheric science and renewable energy. We welcome studies that leverage ground-based observations, remote sensing technologies, and reanalysis data, as well as advancements in process-based models, numerical weather prediction (NWP), and AI-based approaches. These tools are increasingly used to improve the accuracy and reliability of solar and wind energy forecasting, resource mapping, and climate impact assessments. Topics of interest include, but are not limited to: observational strategies to monitor and characterize wind and solar radiation; forecasting methods, including data-driven, machine learning, and physics-based approaches; renewable energy resource assessment and long-term variability under changing climate conditions; impacts of weather and climate variability on energy supply, demand, and grid integration; characterization of spatiotemporal variability, uncertainty quantification, and energy intermittency.
Index Terms:

3311 Clouds and aerosols [ATMOSPHERIC PROCESSES]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3359 Radiative processes [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
Primary Convener:  Dongdong Wang, Peking University, Beijing, China
Convener:  Jun Qin, IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China
 
Climate Change Prolongs Wind Drought Durations and Enhances Their Co-Occurrence with Heatwaves (1870651)
Meng Qu1, Lu Shen1, Zhenzhong Zeng2, Bolei Yang1, Huiru Zhong1, Xinrong Yang1 and Xi Lu3, (1)Peking University, Department of Atmospheric and Oceanic Sciences, School of Physics, Beijing, China, (2)Southern University of Science and Technology, School of Environmental Science and Engineering, Shenzhen, China, (3)Tsinghua University, Beijing, China
 
A novel metric for quantifying solar irradiance stability: Mapping solar irradiance variability to photovoltaic power generation (1871717)
Dr. Zhiang Xie, PhD, Southern University of Science and Technology, Department of Earth and Space Sciences, Shenzhen, China and Qun Tian, GBA Academy of Meteorological Research, Guangzhou Institute of Tropical and Marine Meteorology of China Meteorological Administration/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China
 
On the Prediction of offshore wind farm power output in the near-shore region of Yellow Sea under winter cyclonic effects (1871754)
Haosen Xu1, Jiahao Guo2, Jian Shi2, Jingkai Li1, Xiaowei Zhu3 and Raúl Bayoán Cal4, (1)Ocean University of China, Physical Oceanography Laboratory, Qingdao, China, (2)Ocean University of China, Qingdao, China, (3)Portland State University, Mechanical & Materials Engineering, Portland, United States, (4)Portland State University, Portland, OR, United States
 
Developing High-Resolution Future Projection Datasets Using Dynamical Downscaling for Energy System Planning (1884507)
Jaemo Yang, National Renewable Energy Laboratory, Highlands Ranch, Colorado, UNITED STATES, Manajit Sengupta, National Renewable Energy Laboratory Golden, Golden, CO, United States and Yu Xie, National Renewable Energy Laboratory, Golden, CO, United States
 
Enhancing Renewable Energy Forecast Accuracy via High-resolution WRF-Solar and Roughness sublayer scheme (1905406)
Chanyi Gwak, Kongju National University, Gongju, Korea, Republic of (South), Eun-Chul Chang, Kongju National University, Department of Atmospheric Science, Gongju, South Korea and Junhong Lee, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, South Korea
 
Coastal sea surface wind speed retrievals from X-band Synthetic Aperture Radars onboard StriX satellites (1907416)
Yuko Takeyama1, Souta Morioka1, Fujita Aito2, Orzeł Krzysztof2, Ogushi Toshihiko2 and Praveen Kumar2, (1)Tokyo University of Marine Science and Technology, Tokyo, Japan, (2)Synspective, Tokyo, Japan
 
Impacts of Solar Farm Development on Water Resources in Northwest China's Arid Regions (1911635)
Zhengyao Lu, Lund University, Lund, Sweden, Tingting Xie, Tarim University, Tarim, China, Wei Huang, Beijing Normal University, Zhuhai, China, Jing Tang, University of Copenhagen, København K, Denmark, Tinghai Ou, Gothenburg University, Gothenburg, Sweden, Deliang Chen, Tsinghua University, Department of Earth System Science, Beijing, China and Fahu Chen, Alpine Paleoecology and Human Adaptation Group (ALPHA), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
 
An Open-access Database and Machine Learning Toolbox for Solar Energy Forecasting across the Globe (1913915)
Yuhao Nie1, Stephen Campbell2, Quentin Paletta3, Liwenbo Zhang4, Tao Jing5, Samer Chaaraoui6, Jonathan Giezendanner7, Andea Scott8, Max Aragon9, Jack Camier10, Adam Jensen11, Florian Kotthoff12, Mengying Li13, Stefanie Meilinger14, Yupeng Wu4, Adam R Brandt15 and Sherrie Wang16, (1)Massachusetts Institute of Technology, Institute for Data, Systems, and Society, Cambridge, MA, United States, (2)Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, United States, (3)European Space Agency, ECSAT, Oxfordshire, United Kingdom, (4)University of Nottingham, Department of Architecture and Built Environment, Nottingham, United Kingdom, (5)Hong Kong Polytechnic University, Department of Mechanical Engineering, Hong Kong, Hong Kong, (6)Hochschule Bonn-Rhein-Sieg University of Applied Sciences, International Center for Sustainable Development, Sankt Augustin, Germany, (7)Massachusetts Institute of Technology, Institute for Data, Systems, and Society, Cambridge, United States, (8)Stanford University, Department of Energy Science and Engineering, Stanford, United States, (9)Mines ParisTech, Paris, France, (10)Independent researcher, Dallas, United States, (11)Technical University of Denmark, Department of Civil and Mechanical Engineering, Kgs Lyngby, Denmark, (12)OFFIS Institute for Information Technology, Oldenburg, Germany, (13)The Hong Kong Polytechnic University, Hong Kong, Hong Kong, (14)Hochschule Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, Germany, (15)Stanford University, Department of Energy Science and Engineering, Stanford, CA, United States, (16)Massachusetts Institute of Technology, Mechanical Engineering, Cambridge, United States
 
Which Locations Across the Western U.S. Are Most Resilient to Wind Energy? (1918268)
Weichen LIU, University of Wyoming, Laramie, WY, United States, Stefan Rahimi, University of Wyoming, Atmospheric Science, Laramie, United States and Lei Haung, University of California, Los Angeles, CA, Department of Atmospheric and Oceanic Sciences, Los Angeles, United States
 
Improvement of the model function for sea surface wind retrievals using ASNARO-2 (1934713)
Naoyuki Takemoto, Tokyo University of Marine Science and Technology, Tokyo, Japan and Yuko Takeyama, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
 
Offshore wind map from C-band and Ku-band satellite scatterometers around Japan (1940946)
Shingo Sato, Tokyo University of Marine Science and Technology, Tokyo, Japan and Yuko Takeyama, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
 
High Resolution Projections of Wind and Solar Capacity Factors for Morocco Using Bias Corrected CMIP6 Ensembles (1950217)
Oussama Rigat1, Abdelaziz Chaqdid2 and Nabil El Mocayd1, (1)Mohammed VI Polytechnic University (UM6P), International Water Research Institute (IWRI), College of Agriculture & Environmental Sciences (CAES), Ben Guerir, Morocco, (2)Mohammed VI Polytechnic University, School of Applied and Engineering Physics, Ben Guerir, Morocco
 
Estimating Hourly Hub-Height Wind Speed in the Tropical Andes Using Random Forest and ERA5 Sub-Grid Orography information (1958694)
Juan Contreras1,2, Nicole van Lipzig2, Esteban Samaniego3 and Daniela Ballari1, (1)Universidad del Azuay, Instituto de Estudios de Régimen Seccional del Ecuador (IERSE), Cuenca, Ecuador, (2)KU Leuven, Department of Earth and Environmental Sciences, Leuven, Belgium, (3)Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador
 
Marine Atmospheric Boundary Layer Wind Profiles Across Stability Regimes: A Flux-Based Comparison of HRRR and Lidar Observations (1960392)
Patrick Miller, SUNY at Albany, Atmospheric Sciences Research Center, Albany, United States and Jeffrey Michael Freedman, University at Albany State University of New York, Atmospheric Sciences Research Center, Albany, United States
 
Marine Boundary Layer Observations on an autonomous floating platform (1967108)
Raghavendra Krishnamurthy1, Anthony Kirincich2, Nicola Bodini3, Virendra P Ghate4, Stefano Letizia3, Robert Clyde Jackson4, Matthis Chabert5, Harindra Joseph Fernando6, Lexie Goldberger7 and Jennifer Wehof1, (1)Pacific Northwest National Laboratory, Richland, United States, (2)Woods Hole Oceanographic Inst, Woods Hole, MA, United States, (3)National Renewable Energy Laboratory, Golden, United States, (4)Argonne National Laboratory, Argonne, IL, United States, (5)University of Notre Dame, Notre Dame, United States, (6)University of Notre Dame, Department of Civil and Environmental Engineering and Earth Sciences, Notre Dame, IN, United States, (7)University of Washington, Department of Atmospheric Sciences, Seattle, United States
 
Assessing Global Solar and Wind Investment Potential Under Climate-Driven Supply Risk (1983734)
Mengjie Zhang1, Adam Nayak1 and Upmanu Lall1,2, (1)Columbia University, Earth and Environmental Engineering, New York, United States, (2)Arizona State University, Water Institute, School of Complex Adaptive Systems, Tempe, United States
 
Understanding Dunkelflaute Events in Idaho Using CESM2-LE and ERA5-Derived Capacity Factors (1988405)
Irene Cionni, Boise State University, Geosciences Department, Boise, ID, United States, Alejandro N Flores, Boise State University, Department of Geosciences, Boise, ID, United States and Stephanie Lenhart, Boise State University, Boise, United States
 
Improving Variable Renewable Energy Modeling for Grid Planning via Reanalysis Downscaling and In-situ Observations (1997471)
Olivia Pfeiffer and Rob Cirincione, Sunairio, Baltimore, United States
 
Characterizing the Vertical Wind Profile at a Forested Mountain Site for Potential Wind Energy Applications (1999011)
Ginny Henderson, University of Virginia, Charlottesville, United States, Stephan De Wekker, University of Virginia, Charlottesville, VA, United States, Matteo Puccioni, Lawrence Livermore National Laboratory, Livermore, United States, Sonia Wharton, LLNL, Livermore, United States and Jerome D Fast, Pacific Northwest Natl Lab, Richland, United States
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