Literatura académica sobre el tema "Rain forecasting"
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Artículos de revistas sobre el tema "Rain forecasting"
Hutchins, David A. "Forecasting the rain ratio". Nature 476, n.º 7358 (agosto de 2011): 41–42. http://dx.doi.org/10.1038/476041a.
Texto completoBridger, Nguyen y Chiao. "Developing Spatially Accurate Rainfall Predictions for the San Francisco Bay Area through Case Studies of Atmospheric River and other Synoptic Events". Atmosphere 10, n.º 9 (12 de septiembre de 2019): 541. http://dx.doi.org/10.3390/atmos10090541.
Texto completoAdhikary, Sajal Kumar, Nitin Muttil y Abdullah Gokhan Yilmaz. "Improving streamflow forecast using optimal rain gauge network-based input to artificial neural network models". Hydrology Research 49, n.º 5 (5 de diciembre de 2017): 1559–77. http://dx.doi.org/10.2166/nh.2017.108.
Texto completoCosta-Patry, Etienne, Sven Holzendorf y Matthias Pätsch. "Car Rain Sensors as Mobile Measuring Stations in Heavy-rain Forecasting". ATZ worldwide 123, n.º 5-6 (mayo de 2021): 70–75. http://dx.doi.org/10.1007/s38311-021-0655-0.
Texto completoKAWASAKI, Shoji, Masaaki KOYAMA, Shunsuke FUKAMI y Chisa KOBAYASHI. "Forecasting Occurrence of Localized Heavy Rain and Tornado". Journal of The Institute of Electrical Engineers of Japan 134, n.º 9 (2014): 604–7. http://dx.doi.org/10.1541/ieejjournal.134.604.
Texto completoMazzeffi, Michael A. y Jacob T. Gutsche. "Forecasting Extracorporeal Membrane Oxygenation Outcomes: Rain or Shine?" Journal of Cardiothoracic and Vascular Anesthesia 33, n.º 4 (abril de 2019): 918–19. http://dx.doi.org/10.1053/j.jvca.2018.09.021.
Texto completoMigon, Helio S. y Ana Beatriz S. Monteiro. "Rain-fall modeling: An Application of Bayesian forecasting". Stochastic Hydrology and Hydraulics 11, n.º 2 (abril de 1997): 115–27. http://dx.doi.org/10.1007/bf02427911.
Texto completoMwangi, E., F. Wetterhall, E. Dutra, F. Di Giuseppe y F. Pappenberger. "Forecasting droughts in East Africa". Hydrology and Earth System Sciences Discussions 10, n.º 8 (8 de agosto de 2013): 10209–30. http://dx.doi.org/10.5194/hessd-10-10209-2013.
Texto completoLi, Ji, Yangbo Chen, Huanyu Wang, Jianming Qin, Jie Li y Sen Chiao. "Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model". Hydrology and Earth System Sciences 21, n.º 2 (2 de marzo de 2017): 1279–94. http://dx.doi.org/10.5194/hess-21-1279-2017.
Texto completoShu, Zhangkang, Jianyun Zhang, Junliang Jin, Lin Wang, Guoqing Wang, Jie Wang, Zhouliang Sun et al. "Evaluation and Application of Quantitative Precipitation Forecast Products for Mainland China Based on TIGGE Multimodel Data". Journal of Hydrometeorology 22, n.º 5 (mayo de 2021): 1199–219. http://dx.doi.org/10.1175/jhm-d-20-0004.1.
Texto completoTesis sobre el tema "Rain forecasting"
DeSordi, Steven Paul. "Utah local area model sensitivity to boundary conditions for summer rain simulations". Wright-Patterson AFB, Ohio : Dept. of the Air Force, 1996. http://stinet.dtic.mil/cgi-bin/fulcrum%5Fmain.pl?database=ft%5Fu2&searchid=0&keyfieldvalue=ADA319136&filename=%2Ffulcrum%2Fdata%2FTR%5Ffulltext%2Fdoc%2FADA319136.pdf.
Texto completoTitle from web page (viewed Oct. 30, 2003). "96-084." "August 1996." Includes bibliographical references p. [110]-112. Also available in print version.
Li, Jing. "Clustering and forecasting for rain attenuation time series data". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219615.
Texto completoClustering is een van de unsupervised learning algorithmen om groep soortgelijke objecten in dezelfde cluster en de objecten in dezelfde cluster zijn meer vergelijkbaar met elkaar dan die in de andere clusters. Prognoser är att göra förutspårningar baserade på övergående data och effektiva artificiella intelligensmodeller för att förutspå datautveckling, som kan hjälpa till att fatta lämpliga beslut. Dataseten som används i denna avhandling är signaldämpningstidsseriedata från mikrovågsnätverket. Mikrovågsnät är kommunikationssystem för att överföra information mellan två fasta platser på jorden. De kan stödja ökade kapacitetsbehov i mobilnät och spela en viktig roll i nästa generationens trådlösa kommunikationsteknik. Men inneboende sårbarhet för slumpmässig fluktuering som nedbörd kommer att orsaka betydande nätverksförstöring. I den här avhandlingen används K-medel, Fuzzy c-medel och 2-state Hidden Markov Model för att utveckla ett steg och tvåstegs regen dämpning dataklyvningsmodeller. Prognosmodellerna är utformade utifrån k-närmaste granne-metoden och implementeras med linjär regression för att förutsäga realtidsdämpning för att hjälpa mikrovågstransportnät att mildra regnpåverkan, göra rätt beslut före tid och förbättra den allmänna prestandan.
Karlsson, Magnus Sven. "NEAREST NEIGHBOR REGRESSION ESTIMATORS IN RAINFALL-RUNOFF FORECASTING". Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/282088.
Texto completoGorugantula, Srikanth V. L. "A GPS-IPW Based Methodology for Forecasting Heavy Rain Events". Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/10145.
Texto completoMaster of Science
Ryall, Gill. "An automated system for generating very-short-range forecasts of precipitation". Thesis, University of Sussex, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284079.
Texto completoPettegrew, Brian P. "On methods of precipitation efficiency estimation /". free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1422951.
Texto completoMichaud, Jene Diane. "RAINFALL-RUNOFF MODELING OF FLASH FLOODS IN SEMI-ARID WATERSHEDS". Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ), 1992. http://hdl.handle.net/10150/614156.
Texto completoTsang, Fan Cheong. "Advances in flood forecasting using radar rainfalls and time-series analysis". Thesis, Lancaster University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.481184.
Texto completoCataldo, Edmund F. "Evaluation of the SSM/I rain analyses for selective storms in the ERICA project". Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA241321.
Texto completoThesis Advisor(s): Wash, Carlyle H. Second Reader: Nuss, Wendell A. "September 1990." Description based on title screen viewed on December 17, 2009. DTIC Descriptor(s): Weather forecasting, satellite meteorology, uncertainty, polarization, ships, coastal regions, light, rates, theses, radar, regression analysis, precipitation, solutions(general), rain, winter, rainfall intensity, storms, equations, cyclones, channels, corrections, temperate regions, cyclogenesis, algorithms, temperature. DTIC Identifier(s): Rainfall intensity, erica project, ssm/i(special sensor microwave/images). Author(s) subject terms: Microwave, ERICA, SSM/I, precipitation forecasting, rain. Includes bibliographical references (p. 81-82). Also available in print.
Karnieli, Arnon 1952. "Storm runoff forecasting model incorporating spatial data". Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/191138.
Texto completoLibros sobre el tema "Rain forecasting"
Rainfall forecasting. Hauppauge, N.Y: Nova Science Publishers, 2011.
Buscar texto completoMartín, Olga E. y Tricia M. Roberts. Rainfall: Behavior, forecasting, and distribution. Hauppauge, N.Y: Nova Science Publishers, 2011.
Buscar texto completoill, Ross Scott, ed. Brewster, the rain-makin' rooster. Austin, Tex: Eakin Press, 1999.
Buscar texto completoDevkota, Lochan Prasad. Long range forecasting (LRF) of monsoon rainfall in Nepal. Dhaka: SAARC Meteorological Research Centre, 2006.
Buscar texto completoDevkota, Lochan Prasad. Long range forecasting (LRF) of monsoon rainfall in Nepal. Dhaka: SAARC Meteorological Research Centre, 2006.
Buscar texto completoOjhā, Madhusūdana. Vr̥ṣṭividyābodhikā Kādambinī: Svopajñahindībhāṣānuvādasahitā. Jodhapuram: Paṇḍitamadhusūdanaojhāśodhaprakoṣṭhaḥ, 2003.
Buscar texto completoDube, Umāśaṅkara. Prācīna varshā vijñāna. Kānapura: Śrī Hanumat Jyotisha Mandira, 1989.
Buscar texto completoKishōdai, Ōsaka Kanku. Kyōu o motarasu senjō kōsuitai no keisei kikō tō no kaimei oyobi kōsui kyōdo idō sokudo no yosoku ni kansuru kenkyū. Tsukuba-shi: Kishō Kenkyūjo, 2010.
Buscar texto completoKelkar, R. R. Monsoon prediction. Hyderabad, India: BS Publications, 2009.
Buscar texto completoKishōdai, Ōsaka Kanku. Dankōki no kōsuikei ni okeru meso-ryōteki yohō no gijutsu kaihatsu. [Osaka]: Ōsaka Kanku Kishōdai, 1995.
Buscar texto completoCapítulos de libros sobre el tema "Rain forecasting"
Yasuno, Takato, Akira Ishii y Masazumi Amakata. "Rain-Code Fusion: Code-to-Code ConvLSTM Forecasting Spatiotemporal Precipitation". En Pattern Recognition. ICPR International Workshops and Challenges, 20–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68787-8_2.
Texto completoSong, Haifeng, Tao Tang, Chenling Li y Yi Ding. "Short Time Forecasting of Rail Transit Passenger Volume". En The 2nd International Symposium on Rail Transit Comprehensive Development (ISRTCD) Proceedings, 121–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37589-7_12.
Texto completoSong, Haifeng, Tao Tang, Chenling Li y Yi Ding. "Long Time Forecasting of Rail Transit Passenger Volume". En The 2nd International Symposium on Rail Transit Comprehensive Development (ISRTCD) Proceedings, 387–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37589-7_37.
Texto completoPeng, Hao, Santosh U. Bobade, Michael E. Cotterell y John A. Miller. "Forecasting Traffic Flow: Short Term, Long Term, and When It Rains". En Big Data – BigData 2018, 57–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94301-5_5.
Texto completoTang, Yuxin, Jianyuan Guo, Yalin Wang y Jian Li. "Metro Outbound Passenger Flow Forecasting Considering Spatial-Temporal Correlation Characteristics". En Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021, 525–34. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9909-2_55.
Texto completoZhang, Liangliang, Yuanhua Jia, Xihui Yin y Zhong-hai Niu. "The Arrival Passenger Flow Short-Term Forecasting of Urban Rail Transit Based on the Fractal Theory". En The 2nd International Symposium on Rail Transit Comprehensive Development (ISRTCD) Proceedings, 95–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-37589-7_9.
Texto completoZhang, Ke, Xinyue Xu y Ziyue Mi. "Subway Passenger Flow Forecasting Under Station Closure with an Improved General Regression Neural Network". En Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021, 397–405. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9909-2_44.
Texto completoTang, Jinjin, Leishan Zhou, Yong Zhao y Jingjing Shao. "Passenger Flow Trend Analysis and Forecasting for Large High-Speed Railway Stations During Holidays: A Case Study for Beijing West Railway Station". En Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation, 399–407. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49370-0_42.
Texto completo"rain(fall) forecasting". En Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 1074. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_180249.
Texto completoHudnurkar, Shilpa, Vidur Sood, Vedansh Mishra, Manobhav Mehta, Akash Upadhyay, Shilpa Gite y Neela Rayavarapu. "Multivariate Time Series Forecasting of Rainfall Using Machine Learning". En Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis, 87–106. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3981-4.ch007.
Texto completoActas de conferencias sobre el tema "Rain forecasting"
KIM, Jaekwang. "Seasonal Heavy Rain Forecasting Method". En 2nd International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.111002.
Texto completoLegg, Nicholas T. "FORECASTING RAIN-INDUCED DEBRIS FLOWS ON MOUNT RAINIER, WASHINGTON". En GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-302794.
Texto completoLi, Jiachen, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka y Chiho Choi. "RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting". En 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.01579.
Texto completoKomarudin y David. "Rain Forecasting for Production Capacity Planning at Open Pit Mining". En ICIBE 2019: 2019 The 5th International Conference on Industrial and Business Engineering. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3364335.3364396.
Texto completoAwan, Malik Shahzad Kaleem y Mian Muhammad Awais. "Towards a Generic Model for Forecasting Rain Duration Using GITIC Model". En 2008 15th Annual IEEE International Conference on Engineering of Computer Based Systems (ECBS). IEEE, 2008. http://dx.doi.org/10.1109/ecbs.2008.25.
Texto completoDel Rosario, Vince Xavier C., Vhynce Joi Narca, Franz Timothy Jeanne Laconsay y Chris Jordan Alliac. "Weather Forecasting Rain Probability in Cebu Using ANFIS and Bayesian Network". En 2021 1st International Conference in Information and Computing Research (iCORE). IEEE, 2021. http://dx.doi.org/10.1109/icore54267.2021.00026.
Texto completoYeo, J. X., Y. H. Lee y J. T. Ong. "Use of weather radar rain cell motion forecasting for site diversity system". En MILCOM 2016 - 2016 IEEE Military Communications Conference (MILCOM). IEEE, 2016. http://dx.doi.org/10.1109/milcom.2016.7795351.
Texto completoKhidir, Adil Mohammed, Hanan Hassan Ali Adlan y Isam Ahmed Basheir. "Neural Networks forecasting architectures for rainfall in the rain-fed Sectors in Sudan". En 2013 International Conference on Computing, Electrical and Electronics Engineering (ICCEEE). IEEE, 2013. http://dx.doi.org/10.1109/icceee.2013.6634026.
Texto completoYin, Zhiyuan, Fang Yang y Tieyuan Shen. "Application of Set Pair Analysis on QPE and Rain Gauge in Flood Forecasting". En 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/isaeece-17.2017.10.
Texto completoKim, Byung Sik, Jun Bum Hong, Hung Soo Kim y Seok Young Yoon. "Combining Radar and Rain Gauge Rainfall Estimates for Flood Forecasting Using Conditional Merging Method". En World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)414.
Texto completoInformes sobre el tema "Rain forecasting"
Charley, William J. The Estimation of Rainfall for Flood Forecasting Using Radar and Rain Gage Data. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1988. http://dx.doi.org/10.21236/ada200802.
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