Academic literature on the topic 'Wind Forecasts'
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Journal articles on the topic "Wind Forecasts"
Sampson, Charles R., Paul A. Wittmann, Efren A. Serra, Hendrik L. Tolman, Jessica Schauer, and Timothy Marchok. "Evaluation of Wave Forecasts Consistent with Tropical Cyclone Warning Center Wind Forecasts." Weather and Forecasting 28, no. 1 (February 1, 2013): 287–94. http://dx.doi.org/10.1175/waf-d-12-00060.1.
Full textRiordan, Allen J. "Forecasting for a Remote Island: A Class Exercise." Bulletin of the American Meteorological Society 84, no. 6 (June 1, 2003): 777–84. http://dx.doi.org/10.1175/bams-84-6-777.
Full textTyner, Bryce, Anantha Aiyyer, Jonathan Blaes, and Donald Reid Hawkins. "An Examination of Wind Decay, Sustained Wind Speed Forecasts, and Gust Factors for Recent Tropical Cyclones in the Mid-Atlantic Region of the United States." Weather and Forecasting 30, no. 1 (February 1, 2015): 153–76. http://dx.doi.org/10.1175/waf-d-13-00125.1.
Full textKnaff, John A., and Charles R. Sampson. "After a Decade Are Atlantic Tropical Cyclone Gale Force Wind Radii Forecasts Now Skillful?" Weather and Forecasting 30, no. 3 (June 1, 2015): 702–9. http://dx.doi.org/10.1175/waf-d-14-00149.1.
Full textRoads, JO, K. Ueyoshi, SC Chen, J. Alpert, and F. Fujioka. "Medium-range fire weather forecasts." International Journal of Wildland Fire 1, no. 3 (1991): 159. http://dx.doi.org/10.1071/wf9910159.
Full textJacobs, A. J. M., and N. Maat. "Numerical Guidance Methods for Decision Support in Aviation Meteorological Forecasting." Weather and Forecasting 20, no. 1 (February 1, 2005): 82–100. http://dx.doi.org/10.1175/waf-827.1.
Full textKnaff, John A., Charles R. Sampson, and Galina Chirokova. "A Global Statistical–Dynamical Tropical Cyclone Wind Radii Forecast Scheme." Weather and Forecasting 32, no. 2 (March 20, 2017): 629–44. http://dx.doi.org/10.1175/waf-d-16-0168.1.
Full textHallgren, Christoffer, Stefan Ivanell, Heiner Körnich, Ville Vakkari, and Erik Sahlée. "The smoother the better? A comparison of six post-processing methods to improve short-term offshore wind power forecasts in the Baltic Sea." Wind Energy Science 6, no. 5 (September 16, 2021): 1205–26. http://dx.doi.org/10.5194/wes-6-1205-2021.
Full textLehr, William J., Debra Simecek-Beatty, and Marc Hodges. "Wind Uncertainty in Long Range Trajectory Forecasts." International Oil Spill Conference Proceedings 2003, no. 1 (April 1, 2003): 435–39. http://dx.doi.org/10.7901/2169-3358-2003-1-435.
Full textTheuer, Frauke, Andreas Rott, Jörge Schneemann, Lueder von Bremen, and Martin Kühn. "Observer-based power forecast of individual and aggregated offshore wind turbines." Wind Energy Science 7, no. 5 (October 24, 2022): 2099–116. http://dx.doi.org/10.5194/wes-7-2099-2022.
Full textDissertations / Theses on the topic "Wind Forecasts"
Mason, Jesse Cheyenne. "On improving wind-turbine hub-height wind-speed forecasts." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/46558.
Full textSiuta, David. "Improving hub-height wind forecasts in complex terrain." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/61055.
Full textScience, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
Welsh, David J. S. "The improvement of wind-wave forecasts in the Great Lakes /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487948807587679.
Full textNchaba, Teboho. "Verification of gridded seasonal wind speed forecasts over South Africa." Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/4970.
Full textIncludes bibliographical references.
The Climate System Analysis Group (CSAG) at the University of Cape Town produces provisional global and Southern African seasonal wind forecasts generated using the United Kingdom Meteorological Office Atmospheric General Circulation Model (AGCM) HadAM3P (non-standard version of HadAM3). This study examines the quality of the seasonal wind speed forecasts through a forecast verification process for continuous variables using reanalysis products of the National Centers for Environmental Prediction and the Department of Energy (NCEP-DOE) as observations data. The verification analyses are performed using summary measures Mean Error (ME), Mean Absolute Error (MAE), Mean Squared Error (MSE), correlation coefficients, Linear Error in Probability Space (LEPS) and exploratory methods, scatter and conditional quantile plots. These methods are used to determine the aspects of forecast quality namely, bias, accuracy, reliability, resolution, and skill over a 20 year period (1991 to 2010). The results of the study have determined that the use of both accuracy and skill measures for the verification analyses provide more information about the quality of the forecasts, as opposed only one of these. In all provinces, the highest quality seasonal wind speed forecasts are made at 500 hPa and the lowest quality forecasts at 1000 hPa. Furthermore regions, pressure levels, and seasons with the highest forecast quality share the common characteristic that their wind speeds are relatively high. The forecasts add value to the climatology and thus are a useful tool for wind assessment at a seasonal scale. It is suggested that adding spatial resolution to the forecasts through downscaling may prepare them for use in applications such as wind power output forecasting.
Lau, Ada. "Probabilistic wind power forecasts : from aggregated approach to spatiotemporal models." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:f5a66568-baac-4f11-ab1e-dc79061cfb0f.
Full textde, Almeida Francisco M. S. C. "The influence of wind on HF radar surface current forecasts." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5Fde%5FAlmeida.pdf.
Full textThesis Advisor(s): Paduan, Jeffrey. "December 2008." Description based on title screen as viewed on January 29, 2009. Includes bibliographical references (p. 67-69). Also available in print.
Sjöberg, Ludvig. "Wind Forecasts Using Large Eddy Simulations for Stratospheric Balloon Applications." Thesis, Luleå tekniska universitet, Rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74457.
Full textGallaher, Shawn G. "Performance of a high resolution diagnostic model for short range mesoscale wind forecasts in complex terrain." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FGallaher.pdf.
Full textThesis advisor(s): Douglas K. Miller, Wendell A. Nuss. Includes bibliographical references (p. 125-128). Also available online.
Olaofe, Zaccheus Olaniyi. "Wind energy generation and forecasts: a case study of Darling and Vredenburg sites." Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/16831.
Full textIve, Federica. "Improving numerical simulation methods for the assessment of wind source availability and related power production for wind farms over complex terrain." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/350981.
Full textBooks on the topic "Wind Forecasts"
G, Benjamin Stanley, and Forecast Systems Laboratory (U.S.), eds. A study of the accuracy of RUC-1 and RUC-2 wind and aircraft trajectory forecasts using ACARS observations. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Forecast Systems Laboratory, 1998.
Find full textGrasping for the wind: The search for meaning in the 20th century. Grand Rapids, Mich: Zondervan, 2001.
Find full textJohn F. Kennedy Space Center. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station: Phase 1 results. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.
Find full textJohn F. Kennedy Space Center. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station: Phase 1 results. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.
Find full textInc, Icon Group International, ed. The 2002 world market forecasts for imported wine. San Diego, Calif: Icon Group, 2002.
Find full textK, Sahai A., and Indian Institute of Tropical Meteorology., eds. Experimental seasonal forecast of Indian summer monsoon 2007: Statistical and dynamical models. Pune: Indian Institute of Tropical Meteorology, 2007.
Find full textMandke, S. K. Dynamical ensemble seasonal forecast experiments of recent Indian summer monsoons: An assessment using new approach. Pune: Indian Institute of Tropical Meteorology, 2005.
Find full textSpace Environment Center (U.S.), ed. Wang and Sheeley medium-range planetary A index forecast verification statistics. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Center, 1996.
Find full textSpace Environment Center (U.S.), ed. Wang and Sheeley medium-range planetary A index forecast verification statistics. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Center, 1996.
Find full textSpace Environment Center (U.S.), ed. Wang and Sheeley medium-range planetary A index forecast verification statistics. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Space Environment Center, 1996.
Find full textBook chapters on the topic "Wind Forecasts"
Kay, Merlinde, and Iain MacGill. "Improving NWP Forecasts for the Wind Energy Sector." In Weather Matters for Energy, 413–28. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9221-4_20.
Full textKirthika, N., K. I. Ramachandran, and Sasi K. Kottayil. "Deep Quantile Regression Based Wind Generation and Demand Forecasts." In Advances in Intelligent Systems and Computing, 112–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49345-5_12.
Full textMoritz, Richard E. "Accuracy of Surface Geostrophic Wind Forecasts in the Central Arctic." In The Geophysics of Sea Ice, 1135–61. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-5352-0_19.
Full textGiannitrapani, Antonio, Simone Paoletti, Antonio Vicino, and Donato Zarrilli. "Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts." In 2013 Proceedings of the Conference on Control and its Applications, 13–20. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2013. http://dx.doi.org/10.1137/1.9781611973273.3.
Full textAbel, Rafael, Lutz Pegel, and Andreas Waldmann. "On the Importance of Highly Resolved Wind Forecasts for Range Estimation." In Proceedings, 187–96. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37011-4_16.
Full textDi Napoli, Claudia, Alessandro Messeri, Martin Novák, João Rio, Joanna Wieczorek, Marco Morabito, Pedro Silva, Alfonso Crisci, and Florian Pappenberger. "The Universal Thermal Climate Index as an Operational Forecasting Tool of Human Biometeorological Conditions in Europe." In Applications of the Universal Thermal Climate Index UTCI in Biometeorology, 193–208. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76716-7_10.
Full textAlonzo, Bastien, Riwal Plougonven, Mathilde Mougeot, Aurélie Fischer, Aurore Dupré, and Philippe Drobinski. "From Numerical Weather Prediction Outputs to Accurate Local Surface Wind Speed: Statistical Modeling and Forecasts." In Springer Proceedings in Mathematics & Statistics, 23–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99052-1_2.
Full textAlmeida, Vânia, and João Gama. "Collaborative Wind Power Forecast." In Adaptive and Intelligent Systems, 162–71. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11298-5_17.
Full textZjavka, Ladislav, Stanislav Mišák, and Lukáš Prokop. "Post-processing of Wind-Speed Forecasts Using the Extended Perfect Prog Method with Polynomial Neural Networks to Elicit PDE Models." In Hybrid Intelligent Systems, 11–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14347-3_2.
Full textNielsen, Henrik Aalborg. "Short Term Forecast of Wind Power." In Advances in Wind Energy Conversion Technology, 107–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-88258-9_4.
Full textConference papers on the topic "Wind Forecasts"
Kemper, Jason J., Mark F. Bielecki, and Thomas L. Acker. "Modeling of Wind Power Production Forecast Errors for Wind Integration Studies." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90441.
Full textZhang, Jie, Anthony Florita, Bri-Mathias Hodge, and Jeffrey Freedman. "Ramp Forecasting Performance From Improved Short-Term Wind Power Forecasting." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34775.
Full textHaupt, Sue Ellen, Gerry Wiener, Yubao Liu, Bill Myers, Juanzhen Sun, David Johnson, and William Mahoney. "A Wind Power Forecasting System to Optimize Power Integration." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54773.
Full textBai, Li, Emanuele Crisostomi, Marco Raugi, and Mauro Tucci. "Wind Power Forecast Using Wind Forecasts at Different Altitudes in Convolutional Neural Networks." In 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973938.
Full textSroga, J., A. Rosenberg, L. O’Hara, P. Hays, and B. Kennedy. "Ground Based 0.53 μm Wind Sensor." In Optical Remote Sensing. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.wc30.
Full textChagas, F. M., B. R. F. Rachid, B. G. Ambrosio, A. A. Luz, C. B. Gramcianinov, P. F. Serrao, R. Camargo, and E. Siegle. "Assessment of Wind and Wave High-Resolution Forecasts During High-Energy Weather Events in the Brazilian Coast." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62030.
Full textWu, Yuan-Kang, Po-En Su, and Jing-Shan Hong. "An overview of wind power probabilistic forecasts." In 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2016. http://dx.doi.org/10.1109/appeec.2016.7779540.
Full textKaso, Mathias, Felix Musgens, and Oliver Grothe. "Dynamic forecast combinations of improved individual forecasts for the prediction of wind energy." In 2016 13th International Conference on the European Energy Market (EEM). IEEE, 2016. http://dx.doi.org/10.1109/eem.2016.7521228.
Full textCampos, Ricardo Martins, Andressa D’Agostini, Leandro Machado Cruz, Bruna Reis Leite França, and C. Guedes Soares. "Extreme Wind and Wave Predictability From Operational Forecasts at the Drake Passage." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96626.
Full textFrate, Guido Francesco, Lorenzo Ferrari, and Umberto Desideri. "Impact of Forecast Uncertainty on Wind Farm Profitability." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91523.
Full textReports on the topic "Wind Forecasts"
Pennock, K. Updated Eastern Interconnect Wind Power Output and Forecasts for ERGIS: July 2012. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1056126.
Full textNorquist, Donald C., and Warner C. Meeks. A Comparative Verification of Forecasts from Two Operational Solar Wind Models (Postprint). Fort Belvoir, VA: Defense Technical Information Center, February 2012. http://dx.doi.org/10.21236/ada558506.
Full textPiwko, Richard, and Gary Jordan. Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011. Office of Scientific and Technical Information (OSTI), November 2011. http://dx.doi.org/10.2172/1031400.
Full textFinley, Cathy. The Wind Forecast Improvement Project (WFIP). A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations -- the Northern Study Area. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1129929.
Full textNachmani, Gil. Minimum-Energy Flight Paths for UAVs Using Mesoscale Wind Forecasts and Approximate Dynamic Programming. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada475720.
Full textFreedman, Jeffrey M., John Manobianco, John Schroeder, Brian Ancell, Keith Brewster, Sukanta Basu, Venkat Banunarayanan, Bri-Mathias Hodge, and Isabel Flores. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations. The Southern Study Area, Final Report. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1129905.
Full textOptis, Michael, George N. Scott, and Caroline Draxl. Evaluation of Wind Power Forecasts from the Vermont Weather Analytics Center and Identification of Improvements. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1419925.
Full textDumais, Robert E., John W. Raby, Yansen Wang, Yasmina R. Raby, and David Knapp. Performance Assessment of the Three-Dimensional Wind Field Weather Running Estimate - Nowcast and the Three-Dimensional Wind Field Air Force Weather Agency Weather Research and Forecasting Wind Forecasts. Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada573289.
Full textGallagher, Alex, Sandra LeGrand, Taylor Hodgdon, and Theodore Letcher. Simulating environmental conditions for Southwest United States convective dust storms using the Weather Research and Forecasting Model v4.1. Engineer Research and Development Center (U.S.), August 2022. http://dx.doi.org/10.21079/11681/44963.
Full textVenäläinen, Ari, Sanna Luhtala, Mikko Laapas, Otto Hyvärinen, Hilppa Gregow, Mikko Strahlendorff, Mikko Peltoniemi, et al. Sää- ja ilmastotiedot sekä uudet palvelut auttavat metsäbiotaloutta sopeutumaan ilmastonmuutokseen. Finnish Meteorological Institute, January 2021. http://dx.doi.org/10.35614/isbn.9789523361317.
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