Articles | Volume 16, issue 10
https://doi.org/10.5194/acp-16-6365-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-16-6365-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 May 2016
Research article |
| 25 May 2016
Local short-term variability in solar irradiance
Gerald M. Lohmann
CORRESPONDING AUTHOR
Energy Meteorology Group, Institute of Physics, Oldenburg University, Oldenburg, Germany
Adam H. Monahan
School of Earth and Ocean Sciences, University of
Victoria, Victoria, BC, Canada
Detlev Heinemann
Energy Meteorology Group, Institute of Physics, Oldenburg University, Oldenburg, Germany
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- Dependence of subhourly solar variability statistics on time interval and cloud vertical position M. Zamora Zapata & J. Kleissl 10.1063/5.0090846
- An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems M. Espinosa-Gavira et al. 10.3390/s18103405
- Spatial and temporal variability analysis of power from solar photovoltaic generators at multiple locations for power system planning J. Bodireddy et al. 10.1063/5.0264268
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- The seasonal variability and trends for the surface solar irradiation in northeastern region of Brazil F. Lima et al. 10.1016/j.seta.2019.08.006
- Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review G. Lohmann 10.3390/atmos9070264
- Simulating clear-sky index increment correlations under mixed sky conditions using a fractal cloud model G. Lohmann et al. 10.1016/j.solener.2017.04.048
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40 citations as recorded by crossref.
- Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method M. Espinosa-Gavira et al. 10.1016/j.solener.2020.03.081
- Multiresolution analysis of the spatiotemporal variability in global radiation observed by a dense network of 99 pyranometers B. Madhavan et al. 10.5194/acp-17-3317-2017
- Regressive and Spatio-Temporal Accessibility of Variability in Solar Energy on a Short Scale Measurement in the Southern and Mid Region of Mozambique F. Mucomole et al. 10.3390/en17112613
- Relating solar resource and its variability to weather and climate across the northwestern United States L. Hinkelman & N. Schaeffer 10.1016/j.solener.2017.07.060
- Ten years of 1 Hz solar irradiance observations at Cabauw, the Netherlands, with cloud observations, variability classifications, and statistics W. Mol et al. 10.5194/essd-15-2139-2023
- Are the optimum angles of photovoltaic systems so important? X. Chen et al. 10.1016/j.rser.2020.109791
- Combined ANFIS–Wavelet Technique to Improve the Estimation Accuracy of the Power Output of Neighboring PV Systems during Cloud Events H. Al-Hilfi et al. 10.3390/en13071613
- An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network D. Pattanaik et al. 10.1515/eng-2020-0073
- Analysis of high frequency photovoltaic solar energy fluctuations F. Kreuwel et al. 10.1016/j.solener.2020.05.093
- Study of global solar irradiance in Northeast Brazil with considerations on superirradiance and extreme superirradiance events I. de Freitas & R. Abrahão 10.1007/s00704-024-05351-5
- Impact of probabilistic small-scale photovoltaic generation forecast on energy management systems W. El-Baz et al. 10.1016/j.solener.2018.02.069
- Analytic model for correlations of cloud induced fluctuations of clear-sky index B. Elsinga & W. van Sark 10.1016/j.solener.2017.07.035
- Robust Optimization for Electricity Generation H. Yang et al. 10.1287/ijoc.2020.0956
- Characterizing the ramps and noise in solar power imbalances R. Raj & A. Kowli 10.1016/j.solener.2022.10.020
- Effects of temporal averaging on short-term irradiance variability under mixed sky conditions G. Lohmann & A. Monahan 10.5194/amt-11-3131-2018
- Spatiotemporal interpolation and forecast of irradiance data using Kriging M. Jamaly & J. Kleissl 10.1016/j.solener.2017.09.057
- Short-term peer-to-peer solar forecasting in a network of photovoltaic systems B. Elsinga & W. van Sark 10.1016/j.apenergy.2017.09.115
- Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice C. Barrientos Velasco et al. 10.5194/amt-13-1757-2020
- A spatiotemporal Markov-chain mixture distribution model of the clear-sky index J. Munkhammar & J. Widén 10.1016/j.solener.2018.12.064
- Performance variability and implications for yield prediction of rooftop PV systems – Analysis of 246 identical systems B. Meng et al. 10.1016/j.apenergy.2022.119550
- From Point to Area: Worldwide Assessment of the Representativeness of Monthly Surface Solar Radiation Records M. Schwarz et al. 10.1029/2018JD029169
- Power fluctuations in solar-storage clusters: spatial correlation and battery response times J. Barry et al. 10.1016/j.egypro.2017.09.516
- Combining observations and simulations to investigate the small-scale variability of surface solar irradiance under continental cumulus clouds Z. He et al. 10.5194/acp-24-11391-2024
- Local and Regional PV Power Variability in the Northeastern U.S.: Implications for Simplified Utility Flicker Screening Analyses B. Smith et al. 10.1155/2021/4620972
- The HD(CP)2 Observational Prototype Experiment (HOPE) – an overview A. Macke et al. 10.5194/acp-17-4887-2017
- Comparison between MRM simulations, CAMS and PVGIS databases with measured solar radiation components at the Methoni station, Greece B. Psiloglou et al. 10.1016/j.renene.2019.07.064
- Quantitative insights into the differences of variability and intermittency between wind and solar resources on spatial and temporal scales in China G. Ren et al. 10.1063/5.0055134
- Suppressing power output fluctuations of photovoltaic power plants M. Anvari et al. 10.1016/j.solener.2017.08.038
- Meteorological Radiation Model (MRM v6.1): Improvements in diffuse radiation estimates and a new approach for implementation of cloud products H. Kambezidis et al. 10.1016/j.rser.2017.02.058
- Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017) A. Habte et al. 10.1016/j.rser.2020.110285
- Estimating the efficiency of a PEM electrolyzer fed by a PV plant in NEOM City A. Boretti 10.1016/j.seja.2024.100072
- Real-time reaction control for solar production of chemicals under fluctuating irradiance F. Zhao et al. 10.1039/C8GC00613J
- Dependence of subhourly solar variability statistics on time interval and cloud vertical position M. Zamora Zapata & J. Kleissl 10.1063/5.0090846
- An On-Line Low-Cost Irradiance Monitoring Network with Sub-Second Sampling Adapted to Small-Scale PV Systems M. Espinosa-Gavira et al. 10.3390/s18103405
- Spatial and temporal variability analysis of power from solar photovoltaic generators at multiple locations for power system planning J. Bodireddy et al. 10.1063/5.0264268
- Validating global horizontal irradiance retrievals from Meteosat SEVIRI at increased spatial resolution against a dense network of ground-based observations J. Wiltink et al. 10.5194/amt-17-6003-2024
- The seasonal variability and trends for the surface solar irradiation in northeastern region of Brazil F. Lima et al. 10.1016/j.seta.2019.08.006
- Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review G. Lohmann 10.3390/atmos9070264
- Simulating clear-sky index increment correlations under mixed sky conditions using a fractal cloud model G. Lohmann et al. 10.1016/j.solener.2017.04.048
- Cloud advection model of solar irradiance smoothing by spatial aggregation J. Ranalli & E. Peerlings 10.1063/5.0050428
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Latest update: 03 Jul 2025
Short summary
Increasing numbers of photovoltaic (PV) power systems call for the characterization of irradiance variability with very high spatiotemporal resolution. We use 1 Hz irradiance data recorded by as many as 99 pyranometers and show mixed sky conditions to differ substantially from clear and overcast skies. For example, the probabilities of strong fluctuations and their respective spatial autocorrelation structures are appreciably distinct under mixed conditions.
Increasing numbers of photovoltaic (PV) power systems call for the characterization of...
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