Articles | Volume 9, issue 3
https://doi.org/10.5194/amt-9-1153-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-1153-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Mar 2016
Research article |
| 18 Mar 2016
Shortwave surface radiation network for observing small-scale cloud inhomogeneity fields
Bomidi Lakshmi Madhavan
CORRESPONDING AUTHOR
Leibniz-Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany
John Kalisch
Department of Energy and Semiconductor Research, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
now at: WRD Wobben Research and Development GmbH, Aurich, Germany
Andreas Macke
Leibniz-Institute for Tropospheric Research (TROPOS), Permoserstraße 15, 04318 Leipzig, Germany
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Cited
24 citations as recorded by crossref.
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- Sub-mesoscale observations of convective cold pools with a dense station network in Hamburg, Germany B. Kirsch et al. 10.5194/essd-14-3531-2022
- Effects of temporal averaging on short-term irradiance variability under mixed sky conditions G. Lohmann & A. Monahan 10.5194/amt-11-3131-2018
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- Determination of cloud transmittance for all sky imager based solar nowcasting B. Nouri et al. 10.1016/j.solener.2019.02.004
- 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
- Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review G. Lohmann 10.3390/atmos9070264
- Comparison of two sensor technologies for solar irradiance measurement in a desert environment M. Al-Rasheedi et al. 10.1016/j.solener.2017.12.058
- Cloud advection model of solar irradiance smoothing by spatial aggregation J. Ranalli & E. Peerlings 10.1063/5.0050428
- High resolution measurement network of global horizontal and tilted solar irradiance in southern Germany with a new quality control scheme E. Lorenz et al. 10.1016/j.solener.2021.11.023
- 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
- An Efficient and Accurate Algorithm for Computing Grid-Averaged Solar Fluxes for Horizontally Inhomogeneous Clouds Z. Jin & A. Lacis 10.1175/JAS-D-20-0167.1
- Clarifications on the equations and the sample number in triple collocation analysis using SST observations C. Tsamalis 10.1016/j.rse.2022.112936
- Local short-term variability in solar irradiance G. Lohmann et al. 10.5194/acp-16-6365-2016
- Worldwide evaluation and correction of irradiance measurements from personal weather stations under all-sky conditions J. López Lorente et al. 10.1016/j.solener.2020.06.073
- Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data H. Jiang et al. 10.1016/j.apenergy.2020.115178
- Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation S. Dipu et al. 10.16993/tellusb.27
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- Handling of Small Scale Structures of the Irradiance Field for Solar Energy System Analysis – A Review H. Beyer 10.1016/j.egypro.2016.10.039
- Evaluating the spatio-temporal performance of sky-imager-based solar irradiance analysis and forecasts T. Schmidt et al. 10.5194/acp-16-3399-2016
- Solar irradiance estimations for modeling the variability of photovoltaic generation and assessing violations of grid constraints: A comparison between satellite and pyranometers measurements with load flow simulations F. Sossan et al. 10.1063/1.5109076
20 citations as recorded by crossref.
- Spatiotemporal variability of solar radiation introduced by clouds over Arctic sea ice C. Barrientos Velasco et al. 10.5194/amt-13-1757-2020
- Impact of a solar eclipse on surface radiation and photovoltaic energy B. Madhavan & M. Venkat Ratnam 10.1016/j.solener.2021.05.062
- Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples H. Deneke et al. 10.5194/amt-14-5107-2021
- Phase-wise analysis of the COVID-19 lockdown impact on aerosol, radiation and trace gases and associated chemistry in a tropical rural environment C. Jain et al. 10.1016/j.envres.2020.110665
- Sub-mesoscale observations of convective cold pools with a dense station network in Hamburg, Germany B. Kirsch et al. 10.5194/essd-14-3531-2022
- Effects of temporal averaging on short-term irradiance variability under mixed sky conditions G. Lohmann & A. Monahan 10.5194/amt-11-3131-2018
- The HD(CP)<sup>2</sup> Observational Prototype Experiment (HOPE) – an overview A. Macke et al. 10.5194/acp-17-4887-2017
- Determination of cloud transmittance for all sky imager based solar nowcasting B. Nouri et al. 10.1016/j.solener.2019.02.004
- 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
- Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review G. Lohmann 10.3390/atmos9070264
- Comparison of two sensor technologies for solar irradiance measurement in a desert environment M. Al-Rasheedi et al. 10.1016/j.solener.2017.12.058
- Cloud advection model of solar irradiance smoothing by spatial aggregation J. Ranalli & E. Peerlings 10.1063/5.0050428
- High resolution measurement network of global horizontal and tilted solar irradiance in southern Germany with a new quality control scheme E. Lorenz et al. 10.1016/j.solener.2021.11.023
- 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
- An Efficient and Accurate Algorithm for Computing Grid-Averaged Solar Fluxes for Horizontally Inhomogeneous Clouds Z. Jin & A. Lacis 10.1175/JAS-D-20-0167.1
- Clarifications on the equations and the sample number in triple collocation analysis using SST observations C. Tsamalis 10.1016/j.rse.2022.112936
- Local short-term variability in solar irradiance G. Lohmann et al. 10.5194/acp-16-6365-2016
- Worldwide evaluation and correction of irradiance measurements from personal weather stations under all-sky conditions J. López Lorente et al. 10.1016/j.solener.2020.06.073
- Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data H. Jiang et al. 10.1016/j.apenergy.2020.115178
- Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation S. Dipu et al. 10.16993/tellusb.27
4 citations as recorded by crossref.
- Retrieval of Reflected Shortwave Radiation at the Top of the Atmosphere Using Himawari-8/AHI Data S. Lee et al. 10.3390/rs10020213
- Handling of Small Scale Structures of the Irradiance Field for Solar Energy System Analysis – A Review H. Beyer 10.1016/j.egypro.2016.10.039
- Evaluating the spatio-temporal performance of sky-imager-based solar irradiance analysis and forecasts T. Schmidt et al. 10.5194/acp-16-3399-2016
- Solar irradiance estimations for modeling the variability of photovoltaic generation and assessing violations of grid constraints: A comparison between satellite and pyranometers measurements with load flow simulations F. Sossan et al. 10.1063/1.5109076
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Latest update: 20 Apr 2024
Short summary
As part of the High Definition Clouds and Precipitation for advancing Climate Prediction Observational Prototype Experiment (HOPE), a high-density network of pyranometer stations (99 nos.) was set up around Jülich (10 km × 12 km area) from April to July 2013 to capture the small-scale variability of cloud-induced radiation fields at the surface. This paper provides the details of this unique setup of the network, data, quality control, uncertainty estimation and discussion of some case days.
As part of the High Definition Clouds and Precipitation for advancing Climate Prediction...
