L’innovation et la recherche nous aident \u00e0 trouver de nouvelles m\u00e9thodes et \u00e0 obtenir de meilleurs r\u00e9sultats. Reuniwatt publie r\u00e9guli\u00e8rement ses r\u00e9sultats scientifiques, participe \u00e0 des conf\u00e9rences internationales et se tient pr\u00eat \u00e0 \u00e9changer avec d’autres scientifiques dans les domaines de l’observation et de la pr\u00e9vision des nuages, de la m\u00e9t\u00e9orologie pour le secteur de l’\u00e9nergie et des sciences de l’atmosph\u00e8re.<\/p>\n<\/div>
![\"Publications](\"https:\/\/reuniwatt.com\/fr\/wp-content\/uploads\/sites\/2\/2026\/04\/Publications_scientifiques_observation_nuages.webp\" "\\"Publications")
<\/span><\/div><\/div><\/div><\/div><\/div>Liste compl\u00e8te des publications scientifiques de Reuniwatt en m\u00e9t\u00e9orologie, t\u00e9l\u00e9d\u00e9tection, machine learning, traitement d’images, et d’autres domaines<\/h2><\/span><\/div><\/div><\/div>D\u00e9couvrez nos publications scientifiques, class\u00e9es par sujets de recherche :<\/p>\n<\/div>
<\/i><\/i><\/span>Estimation et pr\u00e9vision de la couverture nuageuse et de l'irradiation solaire par satellite<\/span><\/a><\/h3><\/div>\nL’irradiation horizontale globale (GHI) ou irradiation solaire de surface (SSI) est un param\u00e8tre m\u00e9t\u00e9orologique et climatique cl\u00e9 qui d\u00e9termine les interactions entre la surface terrestre et l’atmosph\u00e8re, y compris les processus radiatifs, hydrologiques et autres processus de la surface terrestre. Le GHI peut fluctuer fortement en raison du passage des nuages. Par cons\u00e9quent, la pr\u00e9vision de la couverture nuageuse \u00e0 l’\u00e9chelle de l’heure<\/a> est utile pour la gestion de l’\u00e9nergie solaire et pour toute autre application n\u00e9cessitant des informations sur la couverture nuageuse \u00e0 l’\u00e9chelle locale. Reuniwatt vise \u00e0 faire progresser l’\u00e9tat de l’art dans le domaine de l’estimation et de la pr\u00e9vision globale du GHI par satellite et de la pr\u00e9vision de la couverture nuageuse. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n- Turpin M., Roussel G., Marchal S., Schmutz N., Preliminary assessment of Surface Solar Irradiance retrieval from Meteosat Third Generation satellite, EUMETSAT Meteorological Satellite Conference 2025, 15-19 September 2025, Lyon, France.<\/li>\n
- Turpin M., Duval S., Adrien B., Marchal S., Schmutz N., Surface Solar Irradiance retrieval from third-generation geostationary meteorological satellites using Machine Learning, EUMETSAT Meteorological Satellite Conference 2024, 30 September – 4 October 2024, W\u00fcrzburg, Germany.<\/li>\n
- Turpin M., Marchal S., S\u00e9bastien N., Schmutz N., Evaluation of direct normal irradiance via cloud optical depth from third-generation geostationary meteorological satellites in the USA, EUMETSAT Meteorological Satellite Conference 2024, 30 September – 4 October 2024, W\u00fcrzburg, Germany.<\/li>\n
- Turpin M., Marchal S., Schmutz N., Forecasting surface solar irradiance in Germany using Meteosat Rapid Scanning Service satellite images, European Geosciences Union General Assembly 2023, 23\u201328 April 2023, Vienna, Austria and online, EGU23-10763.<\/li>\n
- Rivonirina J-M., Portafaix T., Lamy K., Rakotoniaina S., Turpin M., Intercomparison of cloud fraction between all-sky imagers, satellites, and numerical weather prediction models over Reunion Island, EUMETSAT Meteorological Satellite Conference 2023, 11-15 September 2023, Malm\u00f6, Sweden.<\/li>\n
- Turpin M., Kurzrock F., Schmutz N.: Assessment of direct normal irradiance assessment from cloud optical depth of geostationary meteorological satellites in Germany, EMS Annual Meeting 2022, Bonn, Germany, 5\u20139 Sep 2022, EMS2022-338, https:\/\/doi.org\/10.5194\/ems2022-338, 2022.<\/li>\n
- Turpin M., Lallemand C., Schmutz N., Solar irradiance assessment from geostationary meteorological satellites under snow conditions, 102nd American Meteorological Society Annual Meeting, 23-27 January 2022, Virtual Meeting.<\/li>\n
- Polo, J., Fern\u00e1ndez-Peruchena, C., Salamalikis, V., Mazorra-Aguiar, L., Turpin, M., Mart\u00edn-Pomares, L., Kazantzidis, A., Blanc, P., Remund, J. (2020). Benchmarking on improvement and site-adaptation techniques for modeled solar radiation datasets. Solar Energy, 201, 469-479.<\/li>\n
- Turpin M., Lallemand C., Lef\u00e8fre M., Kurzrock F., Schmutz N., Geographic Information System for the analysis and forecast of spatio-temporal configurations of cloud occurrences, NWCSAF Users Workshop 2020, 10-12 March 2020, Madrid, Spain.<\/li>\n
- Turpin M., Grosselin L., Castro C\u00e1rdenas J.F., David M., Site adaptation to improve GHI accuracy assessed by satellite. ISES Solar World Congress (SWC), November 2019, Santiago, Chile.<\/li>\n
- Lef\u00e8vre M., Cros S., Saint-Drenan Y-M., Meirink J. F., Schroedter-Homscheidt M., Deneke H., Turpin M., Stengel M., Applying the Heliosat-4 method to four different cloud property databases for the estimation of the surface downwelling short wave irradiation, EMS Annual meeting 2019, European Conference for Applied Meteorology and Climatology, 9-13 September 2019, Lyngby, Denmark.<\/li>\n
- Cros S., Turpin M., Lallemand C., Souchard de Lavoreille H., Kurzrock F., Satellite-based cloud cover detection and tracking for solar irradiance forecasting, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-14784, 2019, Geophysical Research Abstracts.<\/li>\n
- Cros S., Turpin M., Aillaud P., Lallemand C., Real-time solar irradiance retrieval from satellite data: quality assessment of an operational tool using five satellites, 6th International Conference Energy & Meteorology, 24-27 June 2019, Copenhagen, Denmark.<\/li>\n
- Turpin M., Cros S., Lallemand C., Monchalin M., Kurzrock F., Intraday cloud cover forecasting using geostationary meteorological satellite images, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.<\/li>\n
- Roussel, G., Liandrat, O., Cros, S., Turpin, M., Rainjonneau, S., Qualification of a new short-term cloud forecasting method for the optimization of Earth observation satellite programs. In Remote Sensing of Clouds and the Atmosphere XXIII (Vol. 10786, p. 107860P). International Society for Optics and Photonics, October 2018, Berlin, Germany.<\/li>\n
- Cros S., Turpin M., Lallemand C., Gu\u00e9rin A., Solar irradiance and variability forecasting using Himawari-8 satellite images, 5th International Conference Energy & Meteorology, 22-24 May 2018, Shanghai, China.<\/li>\n
- Cros S., Turpin M., Le Guillou F., Providing intraday solar irradiance forecasts before the sunrise: satellite-based night cloud index retrieval and forecast, EMS Annual meeting 2017, European Conference for Applied Meteorology and Climatology, 4-8 September 2017, Dublin, Ireland.<\/li>\n
- Cros S., Turpin M., De Roubaix M., Schmutz N., An autoregressive algorithm of solar irradiance forecasting in Reunion Island: First benefits of Meteosat-8 over Indian Ocean, Eumetsat Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.<\/li>\n
- Cros S., Lallemand C., Turpin M., Wald L., Using SEVIRI cloud time-series to assess the orbits number of LEO optical satellites for land mapping without cloud contamination, EUMETSAT Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.<\/li>\n
- Cros S., Huet L., Buessler E., Turpin M., Intraday solar irradiance forecasting using day and night satellite data: benefits for the PV power trading, 4th International Conference Energy & Meteorology, 27\u201329 June 2017, Bari, Italy.<\/li>\n
- Cros S., Buessler E., Le Guillou F., Turpin M., Country Scale Solar Irradiance Forecasting for PV Power Trading, 7th Solar Integration Workshop \u2013 International Workshop on Integration of Solar Power into Power Systems, October 24-25 2017, Berlin, Germany.<\/li>\n
- Cros S., R\u00e9my P., Madec S., Schmutz N., Design of a double-layer cloud motion vector field using cloud top height from SAF-NWC for solar irradiance forecasting, 2016 EUMETSAT Meteorological Satellite Conference, September 26-20 2016, Darmstadt, Germany.<\/li>\n
- Cros S., Liandrat O., Turpin M., Pineau J.-F., Solar irradiance assessment in insular areas using Himawari-8 satellite images, American Geophysical Union Fall Meeting, December 12-16, 2016, San Francisco, USA.<\/li>\n
- Cros S., Deroubaix M., Turpin M., Jeanty P., Satellite-based solar irradiance assessment and forecasting in tropical insular areas, 16th European Meteorological Society (EMS) Annual Meeting & & 11th European Conference on Applied Climatology (ECAC), 12\u201316 September 2016, Trieste, Italy.<\/li>\n
- Lorenz E., K\u00fchnert J., Heinemann D., Nielsen K. P., Remund J., M\u00fcller S.C., Cros S., Comparison of irradiance forecasts based on numerical weather prediction models with different spatio-temporal resolutions, In Proceedings of the 31st European PV Solar Energy Conference, 14-18 September 2015, Hamburg, Germany.<\/li>\n
- Cros S., Turpin M., Verspieren Q., Lallemand C., Schmutz N., Pignolet G., Mapping surface solar irradiance over Japan and Australia using MTSAT-2 and MODIS, 30th International Symposium on Space Technology and Science, 4-10 July 2015, Kobe-Hyogo, Japan.<\/li>\n
- Cros S., Turpin M., Lallemand C., Verspieren Q., Schmutz N., Soleksat: a flexible solar irradiance forecasting tool using satellite images and geographic web-services., 3rd International Conference for Energy & Meteorology, 23-26 June 2015, Boulder, CO, USA.<\/li>\n
- Cros S., Thomas R., Turpin M., Lallemand C., S\u00e9bastien N., Schmutz N., Intraday solar energy forecasting using cloud motion observation from satellite combined with WRF irradiance forecasts, 15th European Meteorological Society (EMS) Annual Meeting & 12th European European Conference on Applications of Meteorology (ECAM), September 7-11 2015, Sofia, Bulgaria.<\/li>\n
- Hamard I., Catry T., Richard P-E., Cros S., Liandrat O., R\u00e9villion C., Schmutz N., Photovoltaic plant mapping in Reunion Island from very high resolution optical remote sensing: the benefit of Pl\u00e9iades imagery, Pl\u00e9iades Days, April 1-3 2014, Toulouse, France.<\/li>\n
- Cros S., S\u00e9bastien N., Liandrat O., Schmutz N., Cloud pattern prediction from geostationary meteorological satellite images for solar energy forecasting, In Proceedings of SPIE \u2013 Remote Sensing Conference, 22-25 September 2014, Amsterdam, The Netherlands.<\/li>\n
- Cros S., Liandrat O., S\u00e9bastien N., Jolivet S., Schmutz N., Solar energy forecasting using Meteosat Second Generation Optimal Cloud Analysis and cloud motion vectors derivation from MSG HRV channel, In Proceedings of the 2014 EUMETSAT Meteorological Satellite Conference, 22-26 September 2014, Geneva, Switzerland.<\/li>\n
- Cros S., Jolivet S., S\u00e9bastien N., Schmutz N., Using Satellite Data for Intraday Solar Energy Forecasts: Benchmarks of Two Cloud Trajectory Retrieval Techniques, In Proceedings of the 29th European PV Solar Energy Conference, 22 – 26 September 2014, Amsterdam, The Netherlands.<\/li>\n
- Cros, S., Liandrat, O., S\u00e9bastien, N., & Schmutz, N. (2014, July). Extracting cloud motion vectors from satellite images for solar power forecasting. In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International (pp. 4123-4126).<\/li>\n
- Cros S., S\u00e9bastien N., Schmutz N., Using meteorological satellite data for photovoltaic production intra-day forecast, International Conference for Energy Meteorology. 25-28 June 2013, Toulouse, France.<\/li>\n
- Cros S., S\u00e9bastien N., Schmutz N., Photovoltaic production forecast: the significant role of the meteorological satellites, 13th EMS Annual Meeting & 11th European Conference on Applications of Meteorology (ECAM), 09 – 13 September 2013, Reading, United Kingdom.<\/li>\n
- Cros S., Liandrat O., Voyant C., Schmutz N., Comparison of clear-sky models performance for a photovoltaic energy production forecasting tool, 13th EMS Annual Meeting & 11th European Conference on Applications of Meteorology (ECAM), 09 – 13 September 2013, Reading, United Kingdom.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Observation des nuages par infrarouge thermique et \u00e0 partir du sol<\/span><\/a><\/h3><\/div>\nContrairement aux imageurs de ciel qui fonctionnent dans le domaine visible, l’imageur de ciel IR brevet\u00e9 de Reuniwatt, Sky InSight™, permet d’observer la couverture nuageuse 24 heures sur 24, 7 jours sur 7, avec une pr\u00e9cision stable et sans pr\u00e9c\u00e9dent. L’observation et la pr\u00e9vision de la couverture nuageuse<\/a>, de jour comme de nuit, sont utiles pour plusieurs applications de recherche, telles que la mod\u00e9lisation m\u00e9t\u00e9orologique \u00e0 petite \u00e9chelle, les relev\u00e9s \u00e0 long terme des processus locaux pour les \u00e9tudes sur le changement climatique ou les alertes sur les \u00e9v\u00e9nements du ciel. Diverses autres applications sont \u00e9galement concern\u00e9es : pr\u00e9vision de la production \u00e9lectrique solaire \u00e0 l’\u00e9chelle de la minute, gestion du trafic a\u00e9rien, communications optiques sol-satellite, etc. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n- Ben Slama M., Sauvage Laurent, Liandrat O., Contrail characterisation with thermal ground based all-sky imagers, Aircraft Contrail Analysis Workshop 2025, 17-18 September 2025, London, UK.<\/li>\n
- Irbah A., Keckhut P., Alraddawi D., Mandija F., Liandrat O., Ground-based installations at the Haute Provence Observatory (OHP) to monitoring and study condensation trails, European Geosciences Union General Assembly 2025, 27 Apr\u20132 May 2025, Vienna, Austria, EGU25-11372.<\/li>\n
- Ben Slama M., Liandrat O., Balmes K. A., Riihimaki L. D., Improving the cloud cover estimation using wide-field of view imagers compared to narrow field instruments, WMO Technical Conference on Meteorological and Environmental Instruments and Methods of Observation (TECO-2024), 23-26 September 2024, Vienna, Austria.<\/li>\n
- Ben Slama M., Liandrat O., Balmes K.A., Hodges G.B., Riihimaki L.D., Schmutz N., Leveraging wide-field of view imagers to improve the instantaneous cloud amount estimates, 105th American Meteorological Society Annual Meeting, 12-16 January 2025, New Orleans, Louisiana and Virtual Meeting.<\/li>\n
- Giordano C., Ziad A., Aresta A., Aristidi E., Berto F., Bertolin C., Carbillet M., Caujolle Y., Ceus D., Cavazzani S., Gonzalez-Ramos Y., Irbah A., Le Kernec A., Liandrat O., Pascal N., Pascual-Garcia A.-J., Riedi J., Schmutz N., Victori S., ANAtOLIA: First light to first results, International Conference on Space Optics 2024, Antibes Juan-les-Pins, France, 21-25 October 2024.<\/li>\n
- Ziad A., Giordano C., Aresta A., Aristidi E., Bailet C., Berto F., Bertolin C., Carbillet M., Cavazzani S., Ceus D. et al., ANAtOLIA: a high-performance mobile station for atmospheric characterization for Astronomical Observations and Optical Communications, Adaptive Optics for Extremely Large Telescopes 7th Edition, June 2023.<\/li>\n
- Acevedo Valencia, W., Kurzrock, F., Reinhardt, M., and Potthast, R.: Assimilation of atmospheric wind vectors retrieved via Optical flow algorithm and a thermal all-sky imager, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-574, https:\/\/doi.org\/10.5194\/ems2022-574, 2022.<\/li>\n
- Liandrat, O., Roussel, G., Bedoya-Velasquez A., Ceolato R., Cautru A., Decroix J., Schmutz N., A stereoscopic approach for cloud base height assessment over an optical ground station. In Free-Space Laser Communications XXXIV (11993-23). SPIE Photonics West, 22-27 January 2022, San Francisco, California, United States.<\/li>\n
- Kurzrock, F., Boudreault, L.-E., Reinhardt, M., Schoger, S. Y., Potthast, R., Millerioux, Q., and Schmutz, N., Remote sensing of atmospheric winds using an infrared all-sky imager, European Geosciences Union General Assembly 2021, 19\u201330 Apr 2021, online, EGU21-8751, https:\/\/doi.org\/10.5194\/egusphere-egu21-8751<\/li>\n
- Baidar S., Bonin T.A., Choukulkar A., Brewer W.A., Pichugina Y.L., Banta R.M., Lantz K., Sedlar J., Sauvage L., Liandrat O., Angevine W., Kenyon J., Olson J., Turner D.D., Doppler wind lidar observations of shallow cumulus clouds, 100th American Meteorological Society Annual Meeting, January 12-16, 2020, Boston, USA.<\/li>\n
- Roussel G., Liandrat O., Boudreault L.-E., Cros S., Sauvage L., Cloud detection and cloud base height retrieval using a ground thermal-infrared all sky imager, International Symposium on Tropospheric Profiling, 20 – 24 May 2019, Toulouse, France.<\/li>\n
- Roussel G., Liandrat O., Boudreault L-E., Cros S., Kurzrock F., Cloud base height retrieval from a ground-based thermal infrared all-sky imager, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.<\/li>\n
- Liandrat O., Braun A., Buessler E., Lafuma M., Cros S., Gomez A., Boudreault L-E., Sky-Imager Forecasting for Improved Management of a Hybrid Photovoltaic-Diesel System, 3rd International Hybrid Power Systems Workshops, 8-9 May 2018, Tenerife, Spain.<\/li>\n
- Buessler E., Braun A., Liandrat O., Boudreault L-E., Cros S., Optimising the fuel consumption of a simulated hybrid photovoltaic-Diesel generator using solar irradiance forecast from a thermal infrared sky camera, 5th International Conference Energy & Meteorology, 22-24 May 2018, Shanghai, China.<\/li>\n
- Liandrat O., Cros S., Braun A., Saint-Antonin L., Decroix J., Schmutz N., Cloud cover forecast from a ground-based all sky infrared thermal camera, Proc. SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 104240B (20 October 2017); doi: 10.1117\/12.2278636<\/li>\n
- Cros S., Liandrat, Braun A., Schmutz N., Very short-term solar power forecasting using a thermal infrared camera, 4th International Conference Energy & Meteorology, 27\u201329 June 2017, Bari, Italy.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Pr\u00e9visions solaires \u00e0 l'aide de cam\u00e9ras tout ciel<\/span><\/a><\/h3><\/div>\nEn fonction des conditions m\u00e9t\u00e9orologiques, la production d’\u00e9lectricit\u00e9 d’une centrale photovolta\u00efque (PV) est sujette \u00e0 une forte variabilit\u00e9 et \u00e0 des \u00e9v\u00e9nements de rampe caus\u00e9s par le passage des nuages. La pr\u00e9vision de la production photovolta\u00efque \u00e0 l’\u00e9chelle minimale est un outil utile aux op\u00e9rateurs de r\u00e9seaux pour la gestion des centrales \u00e9lectriques. Les imageurs du ciel fonctionnant dans le spectre visible permettent de pr\u00e9voir pendant la journ\u00e9e le rayonnement solaire, la production photovolta\u00efque et les \u00e9v\u00e9nements de rampe. Nous \u00e9valuons les pr\u00e9visions effectu\u00e9es \u00e0 l’aide de la SkyCam Vision de Reuniwatt, un imageur tout ciel<\/a> qui observe les nuages et fournit des pr\u00e9visions d’irradiance solaire utilis\u00e9es pour le contr\u00f4le des centrales. Par exemple, le contr\u00f4le de l’allumage des groupes \u00e9lectrog\u00e8nes diesel peut maximiser les \u00e9conomies de carburant gr\u00e2ce \u00e0 l’int\u00e9gration des pr\u00e9visions dans les syst\u00e8mes de gestion de l’\u00e9nergie des centrales hybrides PV-Diesel<\/a>. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n- Boudreault L.-E., Mart T., Schmutz N., Driving the Unknown towards Fuel Economy with a Sky-Imager in a Hybrid PV-Diesel System, 37th European Photovoltaic Solar Energy Conference and Exhibition, 7-11 September 2020<\/span>, Virtual Meeting.<\/li>\n
- Boudreault L.-E., Liandrat O., Buessler E., Schmutz N., Fuel Consumption Decrease in Hybrid-Power Systems Using PV Power Monitoring and Forecast Solution, 36th European Photovoltaic Solar Energy Conference and Exhibition, 9-13 September 2019, Marseille, France.<\/li>\n
- Boudreault L.-E., Kurzrock F., Liandrat O., Roussel G., Cros S., Performance evaluation metrics for very short-term PV forecasting, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-17324, 2019, Geophysical Research Abstracts.<\/li>\n
- Nitche N., Trombe P-J., Cros S., Using cloud fraction derived from all-sky camera to improve beam solar irradiance forecasting by time-series modelling, 14th European Meteorological Society (EMS) Annual Meeting & 10th European Conference on Applied Climatology (ECAC), 6 -10 October 2014, Prague, Czech Republic.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Pr\u00e9vision de la couverture nuageuse et de du rayonnement solaire \u00e0 l'aide de mod\u00e8les de pr\u00e9vision num\u00e9rique du temps (NWP)<\/span><\/a><\/h3><\/div>\nDe nombreuses applications soci\u00e9tales et de recherche, telles que l’\u00e9valuation et la pr\u00e9vision du rayonnement solaire \u00e0 la surface de la terre, n\u00e9cessitent des pr\u00e9visions pr\u00e9cises de la n\u00e9bulosit\u00e9 \u00e0 court terme, \u00e0 l’\u00e9chelle du kilom\u00e8tre et de l’heure. Les mod\u00e8les de pr\u00e9vision num\u00e9rique du temps (PNT) \u00e0 aire limit\u00e9e peuvent fournir de telles pr\u00e9visions en simulant les nuages \u00e0 des r\u00e9solutions spatiales et temporelles \u00e9lev\u00e9es. Ces simulations permettent donc d’am\u00e9liorer les pr\u00e9visions d’\u00e9nergie solaire et \u00e9olienne pour la journ\u00e9e<\/a>. Cependant, la performance des pr\u00e9visions au cours des 24-48 premi\u00e8res heures est fortement influenc\u00e9e par la pr\u00e9cision des analyses des nuages et de la thermodynamique dans les conditions initiales. Notre objectif est d’am\u00e9liorer les pr\u00e9visions de la couverture nuageuse bas\u00e9es sur la PNT, en se concentrant sur les mod\u00e8les \u00e0 aire limit\u00e9e et l’assimilation des donn\u00e9es nuageuses. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n- Kurzrock F., M\u00e4hnert M., Mayer B., Gregor P., Voitus A., Schmutz N., Evaluation of ensemble prediction systems in terms of solar irradiance in Germany, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7-12 September 2025, EMS2025-420.<\/li>\n
- Reinhardt M., Schoger S.Y., Kurzrock F., Potthast R. (2023). Convective-scale Assimilation of Cloud Cover from Photographs using a Machine Learning Forward Operator. Artificial Intelligence for the Earth Systems 1-38. [https:\/\/doi.org\/10.1175\/AIES-D-22-0025.1](https:\/\/doi.org\/10.1175\/AIES-D-22-0025.1)<\/li>\n
- Reinhardt M., Schoger S. Y., Kurzrock F., Acevedo W., Potthast R.: Assimilation of intelligent cloud observation, 13th International conference dynamical systems applied to biology and natural sciences (DSABNS), Bilbao, Spain, 8-11 February 2022.<\/li>\n
- Reinhardt M., Kurzrock F., Acevedo W., Potthast R.: Data Assimilation of visible and infrared cloud observations from pictures, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-39, https:\/\/doi.org\/10.5194\/ems2022-39, 2022.<\/li>\n
- Kurzrock F., Hochebner A., Millerioux Q., Schmutz N., Reinhardt M., Acevedo W., Potthast R.: Hour-scale cloud cover forecasting using WRF and an infrared all-sky imager, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-328, https:\/\/doi.org\/10.5194\/ems2022-328, 2022.<\/li>\n
- Acevedo W., Reinhardt M., Kurzrock F., Schoger S. Y., Potthast R., Assimilating Sky Camera Cloud Information via Convolutional Neural Networks, Machine Learning and Data Assimilation for Dynamical Systems – International Conference on Computational Science, 21-23 June 2022, London, United Kingdom.<\/li>\n
- Turpin M., Lallemand C., Kurzrock F., Schmutz N., Reanalysis models impact on clear sky solar irradiance models, 102nd American Meteorological Society Annual Meeting, 23-27 January 2022, Virtual Meeting.<\/li>\n
- Reinhardt M., Schoger S. Y., Kurzrock F., Boudreault L-E., Potthast R., Intelligent Camera Cloud Operators for Convective Scale Numerical Weather Prediction, Machine Learning and Data Assimilation for Dynamical Systems – International Conference on Computational Science, 16-18 June 2021, Krakow, Poland.<\/li>\n
- Kurzrock, F., 2019. Assimilation de donn\u00e9es satellitaires pour la pr\u00e9vision num\u00e9rique m\u00e9t\u00e9orologique r\u00e9gionale appliqu\u00e9e \u00e0 la pr\u00e9vision du rayonnement solaire du sol (Doctoral dissertation). Universit\u00e9 de La R\u00e9union.<\/li>\n
- Kurzrock F., Nguyen H., Sauer J., Cros S., Chane Ming F., Linguet L., Lajoie G., Forecasting of solar irradiance at Reunion Island using numerical weather prediction models, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-12642, 2019, Geophysical Research Abstracts.<\/li>\n
- Kurzrock, F., Nguyen, H., Sauer, J., Chane Ming, F., Cros, S., Smith Jr., W. L., Minnis, P., Palikonda, R., Jones, T. A., Lallemand, C., Linguet, L., Lajoie, G. (2019). Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment. Geoscientific Model Development, 12, 3939\u20133954. doi:10.5194\/gmd-12-3939-2019<\/li>\n
- Kurzrock F., Nguyen H., Sauer J., Cros S., Chane-Ming F., Linguet L., Lajoie G., Multi-Phase Cloud Water Path Assimilation Using WRF-DART for Short-Term Solar Irradiance Forecasting in the South-West Indian Ocean, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.<\/li>\n
- Kurzrock, F., Cros, S., Chane-Ming, F., Otkin, J. A., Hutt, A., Linguet, L., Lajoie, G., Potthast, R. (2018). A review of the use of geostationary satellite observations in regional-scale models for short-term cloud forecasting. Meteorologische Zeitschrift Vol. 27 No 4(2018), p.227-298. doi:10.1127\/metz\/2018\/0904<\/li>\n
- Kurzrock F., Cros S., Potthast R., Meteosat-8 radiance assimilation for solar irradiance forecasting using COSMO-KENDA over Reunion Island, EUMETSAT Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.<\/li>\n
- Kurzrock F., Cros S., Chane-Ming F., Linguet L., Potthast R., Lajoie G., Improving short-term irradiance forecasts in the tropics with ensemble data assimilation in limited-area models using Meteosat-8 IODC observations, EMS Annual meeting 2017, European Conference for Applied Meteorology and Climatology, 4-8 September 2017, Dublin, Ireland.<\/li>\n
- Kurzrock F., Cros S., S\u00e9bastien N., Chane-Ming F., Linguet L., Potthast R., Lajoie G., The use of satellite data assimilation methods in regional NWP for solar irradiance forecasting, European Geosciences Union General Assembly 2016, Apr 2016, Vienna, Austria. Vol. 18, pp.EGU2016-15821-1, 2016, Geophysical Research Abstracts.<\/li>\n
- Kurzrock F., Cros S., Chane-Ming F., Potthast R., Linguet L., Lajoie G., Satellite Data Assimilation in Regional Numerical Weather Prediction as a Key for Better Cloud Cover Forecasts in Tropical Environments, In Proceedings of the 32th European PV Solar Energy Conference, 20-24 June 2016, Munich, Germany.<\/li>\n
- Kurzrock F., Cros S., Chane-Ming F., Potthast R., Linguet L., Lajoie G., Enhanced solar power forecasting in the tropics using satellite data assimilation, International Conference on Earth Observations and Societal Impacts 2016, June 26-28, Keelung, Ta\u00efwan.<\/li>\n
- S\u00e9bastien N., Zanchetta P., Huet L., Nitche N., Cros S., Schmutz N., Day-ahead solar radiation forecasting using GFS and artificial neural networks, 15th European Meteorological Society (EMS) Annual Meeting & 12th European Conference on Applications of Meteorology (ECAM), September 7-11 2015, Sofia, Bulgaria.<\/li>\n
- Diagne, M., David, M., Boland, J., Schmutz, N., Lauret, P. (2014), Post-processing of solar irradiance forecasts from WRF model at Reunion Island\u201d, Solar Energy, 105, 99-108. doi:10.1016\/j.solener.2014.03.016<\/li>\n
- Lauret P., Diagne M-H., David M., A neural network post-processing approach to improving NWP solar radiation forecasts. ISES Solar World Congress (SWC), November 2013, Cancun, Mexico.<\/li>\n
- Jolivet S., S\u00e9bastien N., Schmutz N., Combining NWP and expert system as a decision-making tool for photovoltaic production forecasting. International Conference for Energy Meteorology, 25-28 June 2013, Toulouse, France.<\/li>\n
- Diagne M-H., David M., Boland J., Schmutz N., Lauret P., Post-processing of solar irradiance forecasts from WRF model at Reunion Island. ISES Solar World Congress (SWC), November 2013, Cancun, Mexico.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Autres sujets<\/span><\/a><\/h3><\/div>\n
D\u00e9couvrez nos publications scientifiques, class\u00e9es par sujets de recherche :<\/p>\n<\/div>
<\/i><\/i><\/span>Estimation et pr\u00e9vision de la couverture nuageuse et de l'irradiation solaire par satellite<\/span><\/a><\/h3><\/div>\nL’irradiation horizontale globale (GHI) ou irradiation solaire de surface (SSI) est un param\u00e8tre m\u00e9t\u00e9orologique et climatique cl\u00e9 qui d\u00e9termine les interactions entre la surface terrestre et l’atmosph\u00e8re, y compris les processus radiatifs, hydrologiques et autres processus de la surface terrestre. Le GHI peut fluctuer fortement en raison du passage des nuages. Par cons\u00e9quent, la pr\u00e9vision de la couverture nuageuse \u00e0 l’\u00e9chelle de l’heure<\/a> est utile pour la gestion de l’\u00e9nergie solaire et pour toute autre application n\u00e9cessitant des informations sur la couverture nuageuse \u00e0 l’\u00e9chelle locale. Reuniwatt vise \u00e0 faire progresser l’\u00e9tat de l’art dans le domaine de l’estimation et de la pr\u00e9vision globale du GHI par satellite et de la pr\u00e9vision de la couverture nuageuse. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n- Turpin M., Roussel G., Marchal S., Schmutz N., Preliminary assessment of Surface Solar Irradiance retrieval from Meteosat Third Generation satellite, EUMETSAT Meteorological Satellite Conference 2025, 15-19 September 2025, Lyon, France.<\/li>\n
- Turpin M., Duval S., Adrien B., Marchal S., Schmutz N., Surface Solar Irradiance retrieval from third-generation geostationary meteorological satellites using Machine Learning, EUMETSAT Meteorological Satellite Conference 2024, 30 September – 4 October 2024, W\u00fcrzburg, Germany.<\/li>\n
- Turpin M., Marchal S., S\u00e9bastien N., Schmutz N., Evaluation of direct normal irradiance via cloud optical depth from third-generation geostationary meteorological satellites in the USA, EUMETSAT Meteorological Satellite Conference 2024, 30 September – 4 October 2024, W\u00fcrzburg, Germany.<\/li>\n
- Turpin M., Marchal S., Schmutz N., Forecasting surface solar irradiance in Germany using Meteosat Rapid Scanning Service satellite images, European Geosciences Union General Assembly 2023, 23\u201328 April 2023, Vienna, Austria and online, EGU23-10763.<\/li>\n
- Rivonirina J-M., Portafaix T., Lamy K., Rakotoniaina S., Turpin M., Intercomparison of cloud fraction between all-sky imagers, satellites, and numerical weather prediction models over Reunion Island, EUMETSAT Meteorological Satellite Conference 2023, 11-15 September 2023, Malm\u00f6, Sweden.<\/li>\n
- Turpin M., Kurzrock F., Schmutz N.: Assessment of direct normal irradiance assessment from cloud optical depth of geostationary meteorological satellites in Germany, EMS Annual Meeting 2022, Bonn, Germany, 5\u20139 Sep 2022, EMS2022-338, https:\/\/doi.org\/10.5194\/ems2022-338, 2022.<\/li>\n
- Turpin M., Lallemand C., Schmutz N., Solar irradiance assessment from geostationary meteorological satellites under snow conditions, 102nd American Meteorological Society Annual Meeting, 23-27 January 2022, Virtual Meeting.<\/li>\n
- Polo, J., Fern\u00e1ndez-Peruchena, C., Salamalikis, V., Mazorra-Aguiar, L., Turpin, M., Mart\u00edn-Pomares, L., Kazantzidis, A., Blanc, P., Remund, J. (2020). Benchmarking on improvement and site-adaptation techniques for modeled solar radiation datasets. Solar Energy, 201, 469-479.<\/li>\n
- Turpin M., Lallemand C., Lef\u00e8fre M., Kurzrock F., Schmutz N., Geographic Information System for the analysis and forecast of spatio-temporal configurations of cloud occurrences, NWCSAF Users Workshop 2020, 10-12 March 2020, Madrid, Spain.<\/li>\n
- Turpin M., Grosselin L., Castro C\u00e1rdenas J.F., David M., Site adaptation to improve GHI accuracy assessed by satellite. ISES Solar World Congress (SWC), November 2019, Santiago, Chile.<\/li>\n
- Lef\u00e8vre M., Cros S., Saint-Drenan Y-M., Meirink J. F., Schroedter-Homscheidt M., Deneke H., Turpin M., Stengel M., Applying the Heliosat-4 method to four different cloud property databases for the estimation of the surface downwelling short wave irradiation, EMS Annual meeting 2019, European Conference for Applied Meteorology and Climatology, 9-13 September 2019, Lyngby, Denmark.<\/li>\n
- Cros S., Turpin M., Lallemand C., Souchard de Lavoreille H., Kurzrock F., Satellite-based cloud cover detection and tracking for solar irradiance forecasting, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-14784, 2019, Geophysical Research Abstracts.<\/li>\n
- Cros S., Turpin M., Aillaud P., Lallemand C., Real-time solar irradiance retrieval from satellite data: quality assessment of an operational tool using five satellites, 6th International Conference Energy & Meteorology, 24-27 June 2019, Copenhagen, Denmark.<\/li>\n
- Turpin M., Cros S., Lallemand C., Monchalin M., Kurzrock F., Intraday cloud cover forecasting using geostationary meteorological satellite images, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.<\/li>\n
- Roussel, G., Liandrat, O., Cros, S., Turpin, M., Rainjonneau, S., Qualification of a new short-term cloud forecasting method for the optimization of Earth observation satellite programs. In Remote Sensing of Clouds and the Atmosphere XXIII (Vol. 10786, p. 107860P). International Society for Optics and Photonics, October 2018, Berlin, Germany.<\/li>\n
- Cros S., Turpin M., Lallemand C., Gu\u00e9rin A., Solar irradiance and variability forecasting using Himawari-8 satellite images, 5th International Conference Energy & Meteorology, 22-24 May 2018, Shanghai, China.<\/li>\n
- Cros S., Turpin M., Le Guillou F., Providing intraday solar irradiance forecasts before the sunrise: satellite-based night cloud index retrieval and forecast, EMS Annual meeting 2017, European Conference for Applied Meteorology and Climatology, 4-8 September 2017, Dublin, Ireland.<\/li>\n
- Cros S., Turpin M., De Roubaix M., Schmutz N., An autoregressive algorithm of solar irradiance forecasting in Reunion Island: First benefits of Meteosat-8 over Indian Ocean, Eumetsat Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.<\/li>\n
- Cros S., Lallemand C., Turpin M., Wald L., Using SEVIRI cloud time-series to assess the orbits number of LEO optical satellites for land mapping without cloud contamination, EUMETSAT Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.<\/li>\n
- Cros S., Huet L., Buessler E., Turpin M., Intraday solar irradiance forecasting using day and night satellite data: benefits for the PV power trading, 4th International Conference Energy & Meteorology, 27\u201329 June 2017, Bari, Italy.<\/li>\n
- Cros S., Buessler E., Le Guillou F., Turpin M., Country Scale Solar Irradiance Forecasting for PV Power Trading, 7th Solar Integration Workshop \u2013 International Workshop on Integration of Solar Power into Power Systems, October 24-25 2017, Berlin, Germany.<\/li>\n
- Cros S., R\u00e9my P., Madec S., Schmutz N., Design of a double-layer cloud motion vector field using cloud top height from SAF-NWC for solar irradiance forecasting, 2016 EUMETSAT Meteorological Satellite Conference, September 26-20 2016, Darmstadt, Germany.<\/li>\n
- Cros S., Liandrat O., Turpin M., Pineau J.-F., Solar irradiance assessment in insular areas using Himawari-8 satellite images, American Geophysical Union Fall Meeting, December 12-16, 2016, San Francisco, USA.<\/li>\n
- Cros S., Deroubaix M., Turpin M., Jeanty P., Satellite-based solar irradiance assessment and forecasting in tropical insular areas, 16th European Meteorological Society (EMS) Annual Meeting & & 11th European Conference on Applied Climatology (ECAC), 12\u201316 September 2016, Trieste, Italy.<\/li>\n
- Lorenz E., K\u00fchnert J., Heinemann D., Nielsen K. P., Remund J., M\u00fcller S.C., Cros S., Comparison of irradiance forecasts based on numerical weather prediction models with different spatio-temporal resolutions, In Proceedings of the 31st European PV Solar Energy Conference, 14-18 September 2015, Hamburg, Germany.<\/li>\n
- Cros S., Turpin M., Verspieren Q., Lallemand C., Schmutz N., Pignolet G., Mapping surface solar irradiance over Japan and Australia using MTSAT-2 and MODIS, 30th International Symposium on Space Technology and Science, 4-10 July 2015, Kobe-Hyogo, Japan.<\/li>\n
- Cros S., Turpin M., Lallemand C., Verspieren Q., Schmutz N., Soleksat: a flexible solar irradiance forecasting tool using satellite images and geographic web-services., 3rd International Conference for Energy & Meteorology, 23-26 June 2015, Boulder, CO, USA.<\/li>\n
- Cros S., Thomas R., Turpin M., Lallemand C., S\u00e9bastien N., Schmutz N., Intraday solar energy forecasting using cloud motion observation from satellite combined with WRF irradiance forecasts, 15th European Meteorological Society (EMS) Annual Meeting & 12th European European Conference on Applications of Meteorology (ECAM), September 7-11 2015, Sofia, Bulgaria.<\/li>\n
- Hamard I., Catry T., Richard P-E., Cros S., Liandrat O., R\u00e9villion C., Schmutz N., Photovoltaic plant mapping in Reunion Island from very high resolution optical remote sensing: the benefit of Pl\u00e9iades imagery, Pl\u00e9iades Days, April 1-3 2014, Toulouse, France.<\/li>\n
- Cros S., S\u00e9bastien N., Liandrat O., Schmutz N., Cloud pattern prediction from geostationary meteorological satellite images for solar energy forecasting, In Proceedings of SPIE \u2013 Remote Sensing Conference, 22-25 September 2014, Amsterdam, The Netherlands.<\/li>\n
- Cros S., Liandrat O., S\u00e9bastien N., Jolivet S., Schmutz N., Solar energy forecasting using Meteosat Second Generation Optimal Cloud Analysis and cloud motion vectors derivation from MSG HRV channel, In Proceedings of the 2014 EUMETSAT Meteorological Satellite Conference, 22-26 September 2014, Geneva, Switzerland.<\/li>\n
- Cros S., Jolivet S., S\u00e9bastien N., Schmutz N., Using Satellite Data for Intraday Solar Energy Forecasts: Benchmarks of Two Cloud Trajectory Retrieval Techniques, In Proceedings of the 29th European PV Solar Energy Conference, 22 – 26 September 2014, Amsterdam, The Netherlands.<\/li>\n
- Cros, S., Liandrat, O., S\u00e9bastien, N., & Schmutz, N. (2014, July). Extracting cloud motion vectors from satellite images for solar power forecasting. In Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International (pp. 4123-4126).<\/li>\n
- Cros S., S\u00e9bastien N., Schmutz N., Using meteorological satellite data for photovoltaic production intra-day forecast, International Conference for Energy Meteorology. 25-28 June 2013, Toulouse, France.<\/li>\n
- Cros S., S\u00e9bastien N., Schmutz N., Photovoltaic production forecast: the significant role of the meteorological satellites, 13th EMS Annual Meeting & 11th European Conference on Applications of Meteorology (ECAM), 09 – 13 September 2013, Reading, United Kingdom.<\/li>\n
- Cros S., Liandrat O., Voyant C., Schmutz N., Comparison of clear-sky models performance for a photovoltaic energy production forecasting tool, 13th EMS Annual Meeting & 11th European Conference on Applications of Meteorology (ECAM), 09 – 13 September 2013, Reading, United Kingdom.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Observation des nuages par infrarouge thermique et \u00e0 partir du sol<\/span><\/a><\/h3><\/div>\nContrairement aux imageurs de ciel qui fonctionnent dans le domaine visible, l’imageur de ciel IR brevet\u00e9 de Reuniwatt, Sky InSight™, permet d’observer la couverture nuageuse 24 heures sur 24, 7 jours sur 7, avec une pr\u00e9cision stable et sans pr\u00e9c\u00e9dent. L’observation et la pr\u00e9vision de la couverture nuageuse<\/a>, de jour comme de nuit, sont utiles pour plusieurs applications de recherche, telles que la mod\u00e9lisation m\u00e9t\u00e9orologique \u00e0 petite \u00e9chelle, les relev\u00e9s \u00e0 long terme des processus locaux pour les \u00e9tudes sur le changement climatique ou les alertes sur les \u00e9v\u00e9nements du ciel. Diverses autres applications sont \u00e9galement concern\u00e9es : pr\u00e9vision de la production \u00e9lectrique solaire \u00e0 l’\u00e9chelle de la minute, gestion du trafic a\u00e9rien, communications optiques sol-satellite, etc. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n- Ben Slama M., Sauvage Laurent, Liandrat O., Contrail characterisation with thermal ground based all-sky imagers, Aircraft Contrail Analysis Workshop 2025, 17-18 September 2025, London, UK.<\/li>\n
- Irbah A., Keckhut P., Alraddawi D., Mandija F., Liandrat O., Ground-based installations at the Haute Provence Observatory (OHP) to monitoring and study condensation trails, European Geosciences Union General Assembly 2025, 27 Apr\u20132 May 2025, Vienna, Austria, EGU25-11372.<\/li>\n
- Ben Slama M., Liandrat O., Balmes K. A., Riihimaki L. D., Improving the cloud cover estimation using wide-field of view imagers compared to narrow field instruments, WMO Technical Conference on Meteorological and Environmental Instruments and Methods of Observation (TECO-2024), 23-26 September 2024, Vienna, Austria.<\/li>\n
- Ben Slama M., Liandrat O., Balmes K.A., Hodges G.B., Riihimaki L.D., Schmutz N., Leveraging wide-field of view imagers to improve the instantaneous cloud amount estimates, 105th American Meteorological Society Annual Meeting, 12-16 January 2025, New Orleans, Louisiana and Virtual Meeting.<\/li>\n
- Giordano C., Ziad A., Aresta A., Aristidi E., Berto F., Bertolin C., Carbillet M., Caujolle Y., Ceus D., Cavazzani S., Gonzalez-Ramos Y., Irbah A., Le Kernec A., Liandrat O., Pascal N., Pascual-Garcia A.-J., Riedi J., Schmutz N., Victori S., ANAtOLIA: First light to first results, International Conference on Space Optics 2024, Antibes Juan-les-Pins, France, 21-25 October 2024.<\/li>\n
- Ziad A., Giordano C., Aresta A., Aristidi E., Bailet C., Berto F., Bertolin C., Carbillet M., Cavazzani S., Ceus D. et al., ANAtOLIA: a high-performance mobile station for atmospheric characterization for Astronomical Observations and Optical Communications, Adaptive Optics for Extremely Large Telescopes 7th Edition, June 2023.<\/li>\n
- Acevedo Valencia, W., Kurzrock, F., Reinhardt, M., and Potthast, R.: Assimilation of atmospheric wind vectors retrieved via Optical flow algorithm and a thermal all-sky imager, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-574, https:\/\/doi.org\/10.5194\/ems2022-574, 2022.<\/li>\n
- Liandrat, O., Roussel, G., Bedoya-Velasquez A., Ceolato R., Cautru A., Decroix J., Schmutz N., A stereoscopic approach for cloud base height assessment over an optical ground station. In Free-Space Laser Communications XXXIV (11993-23). SPIE Photonics West, 22-27 January 2022, San Francisco, California, United States.<\/li>\n
- Kurzrock, F., Boudreault, L.-E., Reinhardt, M., Schoger, S. Y., Potthast, R., Millerioux, Q., and Schmutz, N., Remote sensing of atmospheric winds using an infrared all-sky imager, European Geosciences Union General Assembly 2021, 19\u201330 Apr 2021, online, EGU21-8751, https:\/\/doi.org\/10.5194\/egusphere-egu21-8751<\/li>\n
- Baidar S., Bonin T.A., Choukulkar A., Brewer W.A., Pichugina Y.L., Banta R.M., Lantz K., Sedlar J., Sauvage L., Liandrat O., Angevine W., Kenyon J., Olson J., Turner D.D., Doppler wind lidar observations of shallow cumulus clouds, 100th American Meteorological Society Annual Meeting, January 12-16, 2020, Boston, USA.<\/li>\n
- Roussel G., Liandrat O., Boudreault L.-E., Cros S., Sauvage L., Cloud detection and cloud base height retrieval using a ground thermal-infrared all sky imager, International Symposium on Tropospheric Profiling, 20 – 24 May 2019, Toulouse, France.<\/li>\n
- Roussel G., Liandrat O., Boudreault L-E., Cros S., Kurzrock F., Cloud base height retrieval from a ground-based thermal infrared all-sky imager, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.<\/li>\n
- Liandrat O., Braun A., Buessler E., Lafuma M., Cros S., Gomez A., Boudreault L-E., Sky-Imager Forecasting for Improved Management of a Hybrid Photovoltaic-Diesel System, 3rd International Hybrid Power Systems Workshops, 8-9 May 2018, Tenerife, Spain.<\/li>\n
- Buessler E., Braun A., Liandrat O., Boudreault L-E., Cros S., Optimising the fuel consumption of a simulated hybrid photovoltaic-Diesel generator using solar irradiance forecast from a thermal infrared sky camera, 5th International Conference Energy & Meteorology, 22-24 May 2018, Shanghai, China.<\/li>\n
- Liandrat O., Cros S., Braun A., Saint-Antonin L., Decroix J., Schmutz N., Cloud cover forecast from a ground-based all sky infrared thermal camera, Proc. SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 104240B (20 October 2017); doi: 10.1117\/12.2278636<\/li>\n
- Cros S., Liandrat, Braun A., Schmutz N., Very short-term solar power forecasting using a thermal infrared camera, 4th International Conference Energy & Meteorology, 27\u201329 June 2017, Bari, Italy.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Pr\u00e9visions solaires \u00e0 l'aide de cam\u00e9ras tout ciel<\/span><\/a><\/h3><\/div>\nEn fonction des conditions m\u00e9t\u00e9orologiques, la production d’\u00e9lectricit\u00e9 d’une centrale photovolta\u00efque (PV) est sujette \u00e0 une forte variabilit\u00e9 et \u00e0 des \u00e9v\u00e9nements de rampe caus\u00e9s par le passage des nuages. La pr\u00e9vision de la production photovolta\u00efque \u00e0 l’\u00e9chelle minimale est un outil utile aux op\u00e9rateurs de r\u00e9seaux pour la gestion des centrales \u00e9lectriques. Les imageurs du ciel fonctionnant dans le spectre visible permettent de pr\u00e9voir pendant la journ\u00e9e le rayonnement solaire, la production photovolta\u00efque et les \u00e9v\u00e9nements de rampe. Nous \u00e9valuons les pr\u00e9visions effectu\u00e9es \u00e0 l’aide de la SkyCam Vision de Reuniwatt, un imageur tout ciel<\/a> qui observe les nuages et fournit des pr\u00e9visions d’irradiance solaire utilis\u00e9es pour le contr\u00f4le des centrales. Par exemple, le contr\u00f4le de l’allumage des groupes \u00e9lectrog\u00e8nes diesel peut maximiser les \u00e9conomies de carburant gr\u00e2ce \u00e0 l’int\u00e9gration des pr\u00e9visions dans les syst\u00e8mes de gestion de l’\u00e9nergie des centrales hybrides PV-Diesel<\/a>. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n- Boudreault L.-E., Mart T., Schmutz N., Driving the Unknown towards Fuel Economy with a Sky-Imager in a Hybrid PV-Diesel System, 37th European Photovoltaic Solar Energy Conference and Exhibition, 7-11 September 2020<\/span>, Virtual Meeting.<\/li>\n
- Boudreault L.-E., Liandrat O., Buessler E., Schmutz N., Fuel Consumption Decrease in Hybrid-Power Systems Using PV Power Monitoring and Forecast Solution, 36th European Photovoltaic Solar Energy Conference and Exhibition, 9-13 September 2019, Marseille, France.<\/li>\n
- Boudreault L.-E., Kurzrock F., Liandrat O., Roussel G., Cros S., Performance evaluation metrics for very short-term PV forecasting, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-17324, 2019, Geophysical Research Abstracts.<\/li>\n
- Nitche N., Trombe P-J., Cros S., Using cloud fraction derived from all-sky camera to improve beam solar irradiance forecasting by time-series modelling, 14th European Meteorological Society (EMS) Annual Meeting & 10th European Conference on Applied Climatology (ECAC), 6 -10 October 2014, Prague, Czech Republic.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Pr\u00e9vision de la couverture nuageuse et de du rayonnement solaire \u00e0 l'aide de mod\u00e8les de pr\u00e9vision num\u00e9rique du temps (NWP)<\/span><\/a><\/h3><\/div>\nDe nombreuses applications soci\u00e9tales et de recherche, telles que l’\u00e9valuation et la pr\u00e9vision du rayonnement solaire \u00e0 la surface de la terre, n\u00e9cessitent des pr\u00e9visions pr\u00e9cises de la n\u00e9bulosit\u00e9 \u00e0 court terme, \u00e0 l’\u00e9chelle du kilom\u00e8tre et de l’heure. Les mod\u00e8les de pr\u00e9vision num\u00e9rique du temps (PNT) \u00e0 aire limit\u00e9e peuvent fournir de telles pr\u00e9visions en simulant les nuages \u00e0 des r\u00e9solutions spatiales et temporelles \u00e9lev\u00e9es. Ces simulations permettent donc d’am\u00e9liorer les pr\u00e9visions d’\u00e9nergie solaire et \u00e9olienne pour la journ\u00e9e<\/a>. Cependant, la performance des pr\u00e9visions au cours des 24-48 premi\u00e8res heures est fortement influenc\u00e9e par la pr\u00e9cision des analyses des nuages et de la thermodynamique dans les conditions initiales. Notre objectif est d’am\u00e9liorer les pr\u00e9visions de la couverture nuageuse bas\u00e9es sur la PNT, en se concentrant sur les mod\u00e8les \u00e0 aire limit\u00e9e et l’assimilation des donn\u00e9es nuageuses. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n- Kurzrock F., M\u00e4hnert M., Mayer B., Gregor P., Voitus A., Schmutz N., Evaluation of ensemble prediction systems in terms of solar irradiance in Germany, EMS Annual Meeting 2025, Ljubljana, Slovenia, 7-12 September 2025, EMS2025-420.<\/li>\n
- Reinhardt M., Schoger S.Y., Kurzrock F., Potthast R. (2023). Convective-scale Assimilation of Cloud Cover from Photographs using a Machine Learning Forward Operator. Artificial Intelligence for the Earth Systems 1-38. [https:\/\/doi.org\/10.1175\/AIES-D-22-0025.1](https:\/\/doi.org\/10.1175\/AIES-D-22-0025.1)<\/li>\n
- Reinhardt M., Schoger S. Y., Kurzrock F., Acevedo W., Potthast R.: Assimilation of intelligent cloud observation, 13th International conference dynamical systems applied to biology and natural sciences (DSABNS), Bilbao, Spain, 8-11 February 2022.<\/li>\n
- Reinhardt M., Kurzrock F., Acevedo W., Potthast R.: Data Assimilation of visible and infrared cloud observations from pictures, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-39, https:\/\/doi.org\/10.5194\/ems2022-39, 2022.<\/li>\n
- Kurzrock F., Hochebner A., Millerioux Q., Schmutz N., Reinhardt M., Acevedo W., Potthast R.: Hour-scale cloud cover forecasting using WRF and an infrared all-sky imager, EMS Annual Meeting 2022, Bonn, Germany, 5-9 Sep 2022, EMS2022-328, https:\/\/doi.org\/10.5194\/ems2022-328, 2022.<\/li>\n
- Acevedo W., Reinhardt M., Kurzrock F., Schoger S. Y., Potthast R., Assimilating Sky Camera Cloud Information via Convolutional Neural Networks, Machine Learning and Data Assimilation for Dynamical Systems – International Conference on Computational Science, 21-23 June 2022, London, United Kingdom.<\/li>\n
- Turpin M., Lallemand C., Kurzrock F., Schmutz N., Reanalysis models impact on clear sky solar irradiance models, 102nd American Meteorological Society Annual Meeting, 23-27 January 2022, Virtual Meeting.<\/li>\n
- Reinhardt M., Schoger S. Y., Kurzrock F., Boudreault L-E., Potthast R., Intelligent Camera Cloud Operators for Convective Scale Numerical Weather Prediction, Machine Learning and Data Assimilation for Dynamical Systems – International Conference on Computational Science, 16-18 June 2021, Krakow, Poland.<\/li>\n
- Kurzrock, F., 2019. Assimilation de donn\u00e9es satellitaires pour la pr\u00e9vision num\u00e9rique m\u00e9t\u00e9orologique r\u00e9gionale appliqu\u00e9e \u00e0 la pr\u00e9vision du rayonnement solaire du sol (Doctoral dissertation). Universit\u00e9 de La R\u00e9union.<\/li>\n
- Kurzrock F., Nguyen H., Sauer J., Cros S., Chane Ming F., Linguet L., Lajoie G., Forecasting of solar irradiance at Reunion Island using numerical weather prediction models, European Geosciences Union General Assembly 2019, 7-12 April 2019, Vienna, Austria. Vol. 21, pp.EGU2019-12642, 2019, Geophysical Research Abstracts.<\/li>\n
- Kurzrock, F., Nguyen, H., Sauer, J., Chane Ming, F., Cros, S., Smith Jr., W. L., Minnis, P., Palikonda, R., Jones, T. A., Lallemand, C., Linguet, L., Lajoie, G. (2019). Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment. Geoscientific Model Development, 12, 3939\u20133954. doi:10.5194\/gmd-12-3939-2019<\/li>\n
- Kurzrock F., Nguyen H., Sauer J., Cros S., Chane-Ming F., Linguet L., Lajoie G., Multi-Phase Cloud Water Path Assimilation Using WRF-DART for Short-Term Solar Irradiance Forecasting in the South-West Indian Ocean, American Geophysical Union Fall Meeting, December 10-14, 2018, Washington, D.C., USA.<\/li>\n
- Kurzrock, F., Cros, S., Chane-Ming, F., Otkin, J. A., Hutt, A., Linguet, L., Lajoie, G., Potthast, R. (2018). A review of the use of geostationary satellite observations in regional-scale models for short-term cloud forecasting. Meteorologische Zeitschrift Vol. 27 No 4(2018), p.227-298. doi:10.1127\/metz\/2018\/0904<\/li>\n
- Kurzrock F., Cros S., Potthast R., Meteosat-8 radiance assimilation for solar irradiance forecasting using COSMO-KENDA over Reunion Island, EUMETSAT Meteorological Satellite Conference 2017, 2-6 October 2017, Rome, Italy.<\/li>\n
- Kurzrock F., Cros S., Chane-Ming F., Linguet L., Potthast R., Lajoie G., Improving short-term irradiance forecasts in the tropics with ensemble data assimilation in limited-area models using Meteosat-8 IODC observations, EMS Annual meeting 2017, European Conference for Applied Meteorology and Climatology, 4-8 September 2017, Dublin, Ireland.<\/li>\n
- Kurzrock F., Cros S., S\u00e9bastien N., Chane-Ming F., Linguet L., Potthast R., Lajoie G., The use of satellite data assimilation methods in regional NWP for solar irradiance forecasting, European Geosciences Union General Assembly 2016, Apr 2016, Vienna, Austria. Vol. 18, pp.EGU2016-15821-1, 2016, Geophysical Research Abstracts.<\/li>\n
- Kurzrock F., Cros S., Chane-Ming F., Potthast R., Linguet L., Lajoie G., Satellite Data Assimilation in Regional Numerical Weather Prediction as a Key for Better Cloud Cover Forecasts in Tropical Environments, In Proceedings of the 32th European PV Solar Energy Conference, 20-24 June 2016, Munich, Germany.<\/li>\n
- Kurzrock F., Cros S., Chane-Ming F., Potthast R., Linguet L., Lajoie G., Enhanced solar power forecasting in the tropics using satellite data assimilation, International Conference on Earth Observations and Societal Impacts 2016, June 26-28, Keelung, Ta\u00efwan.<\/li>\n
- S\u00e9bastien N., Zanchetta P., Huet L., Nitche N., Cros S., Schmutz N., Day-ahead solar radiation forecasting using GFS and artificial neural networks, 15th European Meteorological Society (EMS) Annual Meeting & 12th European Conference on Applications of Meteorology (ECAM), September 7-11 2015, Sofia, Bulgaria.<\/li>\n
- Diagne, M., David, M., Boland, J., Schmutz, N., Lauret, P. (2014), Post-processing of solar irradiance forecasts from WRF model at Reunion Island\u201d, Solar Energy, 105, 99-108. doi:10.1016\/j.solener.2014.03.016<\/li>\n
- Lauret P., Diagne M-H., David M., A neural network post-processing approach to improving NWP solar radiation forecasts. ISES Solar World Congress (SWC), November 2013, Cancun, Mexico.<\/li>\n
- Jolivet S., S\u00e9bastien N., Schmutz N., Combining NWP and expert system as a decision-making tool for photovoltaic production forecasting. International Conference for Energy Meteorology, 25-28 June 2013, Toulouse, France.<\/li>\n
- Diagne M-H., David M., Boland J., Schmutz N., Lauret P., Post-processing of solar irradiance forecasts from WRF model at Reunion Island. ISES Solar World Congress (SWC), November 2013, Cancun, Mexico.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
<\/i><\/i><\/span>Autres sujets<\/span><\/a><\/h3><\/div>\n
L’irradiation horizontale globale (GHI) ou irradiation solaire de surface (SSI) est un param\u00e8tre m\u00e9t\u00e9orologique et climatique cl\u00e9 qui d\u00e9termine les interactions entre la surface terrestre et l’atmosph\u00e8re, y compris les processus radiatifs, hydrologiques et autres processus de la surface terrestre. Le GHI peut fluctuer fortement en raison du passage des nuages. Par cons\u00e9quent, la pr\u00e9vision de la couverture nuageuse \u00e0 l’\u00e9chelle de l’heure<\/a> est utile pour la gestion de l’\u00e9nergie solaire et pour toute autre application n\u00e9cessitant des informations sur la couverture nuageuse \u00e0 l’\u00e9chelle locale. Reuniwatt vise \u00e0 faire progresser l’\u00e9tat de l’art dans le domaine de l’estimation et de la pr\u00e9vision globale du GHI par satellite et de la pr\u00e9vision de la couverture nuageuse. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n Contrairement aux imageurs de ciel qui fonctionnent dans le domaine visible, l’imageur de ciel IR brevet\u00e9 de Reuniwatt, Sky InSight™, permet d’observer la couverture nuageuse 24 heures sur 24, 7 jours sur 7, avec une pr\u00e9cision stable et sans pr\u00e9c\u00e9dent. L’observation et la pr\u00e9vision de la couverture nuageuse<\/a>, de jour comme de nuit, sont utiles pour plusieurs applications de recherche, telles que la mod\u00e9lisation m\u00e9t\u00e9orologique \u00e0 petite \u00e9chelle, les relev\u00e9s \u00e0 long terme des processus locaux pour les \u00e9tudes sur le changement climatique ou les alertes sur les \u00e9v\u00e9nements du ciel. Diverses autres applications sont \u00e9galement concern\u00e9es : pr\u00e9vision de la production \u00e9lectrique solaire \u00e0 l’\u00e9chelle de la minute, gestion du trafic a\u00e9rien, communications optiques sol-satellite, etc. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n En fonction des conditions m\u00e9t\u00e9orologiques, la production d’\u00e9lectricit\u00e9 d’une centrale photovolta\u00efque (PV) est sujette \u00e0 une forte variabilit\u00e9 et \u00e0 des \u00e9v\u00e9nements de rampe caus\u00e9s par le passage des nuages. La pr\u00e9vision de la production photovolta\u00efque \u00e0 l’\u00e9chelle minimale est un outil utile aux op\u00e9rateurs de r\u00e9seaux pour la gestion des centrales \u00e9lectriques. Les imageurs du ciel fonctionnant dans le spectre visible permettent de pr\u00e9voir pendant la journ\u00e9e le rayonnement solaire, la production photovolta\u00efque et les \u00e9v\u00e9nements de rampe. Nous \u00e9valuons les pr\u00e9visions effectu\u00e9es \u00e0 l’aide de la SkyCam Vision de Reuniwatt, un imageur tout ciel<\/a> qui observe les nuages et fournit des pr\u00e9visions d’irradiance solaire utilis\u00e9es pour le contr\u00f4le des centrales. Par exemple, le contr\u00f4le de l’allumage des groupes \u00e9lectrog\u00e8nes diesel peut maximiser les \u00e9conomies de carburant gr\u00e2ce \u00e0 l’int\u00e9gration des pr\u00e9visions dans les syst\u00e8mes de gestion de l’\u00e9nergie des centrales hybrides PV-Diesel<\/a>. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n De nombreuses applications soci\u00e9tales et de recherche, telles que l’\u00e9valuation et la pr\u00e9vision du rayonnement solaire \u00e0 la surface de la terre, n\u00e9cessitent des pr\u00e9visions pr\u00e9cises de la n\u00e9bulosit\u00e9 \u00e0 court terme, \u00e0 l’\u00e9chelle du kilom\u00e8tre et de l’heure. Les mod\u00e8les de pr\u00e9vision num\u00e9rique du temps (PNT) \u00e0 aire limit\u00e9e peuvent fournir de telles pr\u00e9visions en simulant les nuages \u00e0 des r\u00e9solutions spatiales et temporelles \u00e9lev\u00e9es. Ces simulations permettent donc d’am\u00e9liorer les pr\u00e9visions d’\u00e9nergie solaire et \u00e9olienne pour la journ\u00e9e<\/a>. Cependant, la performance des pr\u00e9visions au cours des 24-48 premi\u00e8res heures est fortement influenc\u00e9e par la pr\u00e9cision des analyses des nuages et de la thermodynamique dans les conditions initiales. Notre objectif est d’am\u00e9liorer les pr\u00e9visions de la couverture nuageuse bas\u00e9es sur la PNT, en se concentrant sur les mod\u00e8les \u00e0 aire limit\u00e9e et l’assimilation des donn\u00e9es nuageuses. Liste de nos publications scientifiques dans ce domaine, dont les auteurs de Reuniwatt sont les premiers auteurs ou coauteurs :<\/p>\n\n
<\/i><\/i><\/span>Observation des nuages par infrarouge thermique et \u00e0 partir du sol<\/span><\/a><\/h3><\/div>
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<\/i><\/i><\/span>Pr\u00e9visions solaires \u00e0 l'aide de cam\u00e9ras tout ciel<\/span><\/a><\/h3><\/div>
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<\/i><\/i><\/span>Pr\u00e9vision de la couverture nuageuse et de du rayonnement solaire \u00e0 l'aide de mod\u00e8les de pr\u00e9vision num\u00e9rique du temps (NWP)<\/span><\/a><\/h3><\/div>
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<\/i><\/i><\/span>Autres sujets<\/span><\/a><\/h3><\/div>