Добірка наукової літератури з теми "Rain forecasting"
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Статті в журналах з теми "Rain forecasting"
Hutchins, David A. "Forecasting the rain ratio." Nature 476, no. 7358 (August 2011): 41–42. http://dx.doi.org/10.1038/476041a.
Повний текст джерелаBridger, Nguyen, and Chiao. "Developing Spatially Accurate Rainfall Predictions for the San Francisco Bay Area through Case Studies of Atmospheric River and other Synoptic Events." Atmosphere 10, no. 9 (September 12, 2019): 541. http://dx.doi.org/10.3390/atmos10090541.
Повний текст джерелаAdhikary, Sajal Kumar, Nitin Muttil, and Abdullah Gokhan Yilmaz. "Improving streamflow forecast using optimal rain gauge network-based input to artificial neural network models." Hydrology Research 49, no. 5 (December 5, 2017): 1559–77. http://dx.doi.org/10.2166/nh.2017.108.
Повний текст джерелаCosta-Patry, Etienne, Sven Holzendorf, and Matthias Pätsch. "Car Rain Sensors as Mobile Measuring Stations in Heavy-rain Forecasting." ATZ worldwide 123, no. 5-6 (May 2021): 70–75. http://dx.doi.org/10.1007/s38311-021-0655-0.
Повний текст джерелаKAWASAKI, Shoji, Masaaki KOYAMA, Shunsuke FUKAMI, and Chisa KOBAYASHI. "Forecasting Occurrence of Localized Heavy Rain and Tornado." Journal of The Institute of Electrical Engineers of Japan 134, no. 9 (2014): 604–7. http://dx.doi.org/10.1541/ieejjournal.134.604.
Повний текст джерелаMazzeffi, Michael A., and Jacob T. Gutsche. "Forecasting Extracorporeal Membrane Oxygenation Outcomes: Rain or Shine?" Journal of Cardiothoracic and Vascular Anesthesia 33, no. 4 (April 2019): 918–19. http://dx.doi.org/10.1053/j.jvca.2018.09.021.
Повний текст джерелаMigon, Helio S., and Ana Beatriz S. Monteiro. "Rain-fall modeling: An Application of Bayesian forecasting." Stochastic Hydrology and Hydraulics 11, no. 2 (April 1997): 115–27. http://dx.doi.org/10.1007/bf02427911.
Повний текст джерелаMwangi, E., F. Wetterhall, E. Dutra, F. Di Giuseppe, and F. Pappenberger. "Forecasting droughts in East Africa." Hydrology and Earth System Sciences Discussions 10, no. 8 (August 8, 2013): 10209–30. http://dx.doi.org/10.5194/hessd-10-10209-2013.
Повний текст джерелаLi, Ji, Yangbo Chen, Huanyu Wang, Jianming Qin, Jie Li, and 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, no. 2 (March 2, 2017): 1279–94. http://dx.doi.org/10.5194/hess-21-1279-2017.
Повний текст джерелаShu, 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, no. 5 (May 2021): 1199–219. http://dx.doi.org/10.1175/jhm-d-20-0004.1.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаTitle 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.
Повний текст джерелаClustering 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.
Повний текст джерелаGorugantula, Srikanth V. L. "A GPS-IPW Based Methodology for Forecasting Heavy Rain Events." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/10145.
Повний текст джерелаMaster 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.
Повний текст джерелаPettegrew, 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.
Повний текст джерелаMichaud, 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.
Повний текст джерелаTsang, 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.
Повний текст джерелаCataldo, 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.
Повний текст джерелаThesis 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.
Повний текст джерелаКниги з теми "Rain forecasting"
Rainfall forecasting. Hauppauge, N.Y: Nova Science Publishers, 2011.
Знайти повний текст джерелаMartín, Olga E., and Tricia M. Roberts. Rainfall: Behavior, forecasting, and distribution. Hauppauge, N.Y: Nova Science Publishers, 2011.
Знайти повний текст джерелаill, Ross Scott, ed. Brewster, the rain-makin' rooster. Austin, Tex: Eakin Press, 1999.
Знайти повний текст джерелаDevkota, Lochan Prasad. Long range forecasting (LRF) of monsoon rainfall in Nepal. Dhaka: SAARC Meteorological Research Centre, 2006.
Знайти повний текст джерелаDevkota, Lochan Prasad. Long range forecasting (LRF) of monsoon rainfall in Nepal. Dhaka: SAARC Meteorological Research Centre, 2006.
Знайти повний текст джерелаOjhā, Madhusūdana. Vr̥ṣṭividyābodhikā Kādambinī: Svopajñahindībhāṣānuvādasahitā. Jodhapuram: Paṇḍitamadhusūdanaojhāśodhaprakoṣṭhaḥ, 2003.
Знайти повний текст джерелаDube, Umāśaṅkara. Prācīna varshā vijñāna. Kānapura: Śrī Hanumat Jyotisha Mandira, 1989.
Знайти повний текст джерелаKishōdai, 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.
Знайти повний текст джерелаKelkar, R. R. Monsoon prediction. Hyderabad, India: BS Publications, 2009.
Знайти повний текст джерелаKishōdai, Ōsaka Kanku. Dankōki no kōsuikei ni okeru meso-ryōteki yohō no gijutsu kaihatsu. [Osaka]: Ōsaka Kanku Kishōdai, 1995.
Знайти повний текст джерелаЧастини книг з теми "Rain forecasting"
Yasuno, Takato, Akira Ishii, and Masazumi Amakata. "Rain-Code Fusion: Code-to-Code ConvLSTM Forecasting Spatiotemporal Precipitation." In 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.
Повний текст джерелаSong, Haifeng, Tao Tang, Chenling Li, and Yi Ding. "Short Time Forecasting of Rail Transit Passenger Volume." In 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.
Повний текст джерелаSong, Haifeng, Tao Tang, Chenling Li, and Yi Ding. "Long Time Forecasting of Rail Transit Passenger Volume." In 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.
Повний текст джерелаPeng, Hao, Santosh U. Bobade, Michael E. Cotterell, and John A. Miller. "Forecasting Traffic Flow: Short Term, Long Term, and When It Rains." In Big Data – BigData 2018, 57–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94301-5_5.
Повний текст джерелаTang, Yuxin, Jianyuan Guo, Yalin Wang, and Jian Li. "Metro Outbound Passenger Flow Forecasting Considering Spatial-Temporal Correlation Characteristics." In 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.
Повний текст джерелаZhang, Liangliang, Yuanhua Jia, Xihui Yin, and Zhong-hai Niu. "The Arrival Passenger Flow Short-Term Forecasting of Urban Rail Transit Based on the Fractal Theory." In 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.
Повний текст джерелаZhang, Ke, Xinyue Xu, and Ziyue Mi. "Subway Passenger Flow Forecasting Under Station Closure with an Improved General Regression Neural Network." In 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.
Повний текст джерелаTang, Jinjin, Leishan Zhou, Yong Zhao, and Jingjing Shao. "Passenger Flow Trend Analysis and Forecasting for Large High-Speed Railway Stations During Holidays: A Case Study for Beijing West Railway Station." In 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.
Повний текст джерела"rain(fall) forecasting." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik, 1074. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_180249.
Повний текст джерелаHudnurkar, Shilpa, Vidur Sood, Vedansh Mishra, Manobhav Mehta, Akash Upadhyay, Shilpa Gite, and Neela Rayavarapu. "Multivariate Time Series Forecasting of Rainfall Using Machine Learning." In 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.
Повний текст джерелаТези доповідей конференцій з теми "Rain forecasting"
KIM, Jaekwang. "Seasonal Heavy Rain Forecasting Method." In 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.
Повний текст джерелаLegg, Nicholas T. "FORECASTING RAIN-INDUCED DEBRIS FLOWS ON MOUNT RAINIER, WASHINGTON." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-302794.
Повний текст джерелаLi, Jiachen, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, and Chiho Choi. "RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.01579.
Повний текст джерелаKomarudin and David. "Rain Forecasting for Production Capacity Planning at Open Pit Mining." In 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.
Повний текст джерелаAwan, Malik Shahzad Kaleem, and Mian Muhammad Awais. "Towards a Generic Model for Forecasting Rain Duration Using GITIC Model." In 2008 15th Annual IEEE International Conference on Engineering of Computer Based Systems (ECBS). IEEE, 2008. http://dx.doi.org/10.1109/ecbs.2008.25.
Повний текст джерелаDel Rosario, Vince Xavier C., Vhynce Joi Narca, Franz Timothy Jeanne Laconsay, and Chris Jordan Alliac. "Weather Forecasting Rain Probability in Cebu Using ANFIS and Bayesian Network." In 2021 1st International Conference in Information and Computing Research (iCORE). IEEE, 2021. http://dx.doi.org/10.1109/icore54267.2021.00026.
Повний текст джерелаYeo, J. X., Y. H. Lee, and J. T. Ong. "Use of weather radar rain cell motion forecasting for site diversity system." In MILCOM 2016 - 2016 IEEE Military Communications Conference (MILCOM). IEEE, 2016. http://dx.doi.org/10.1109/milcom.2016.7795351.
Повний текст джерелаKhidir, Adil Mohammed, Hanan Hassan Ali Adlan, and Isam Ahmed Basheir. "Neural Networks forecasting architectures for rainfall in the rain-fed Sectors in Sudan." In 2013 International Conference on Computing, Electrical and Electronics Engineering (ICCEEE). IEEE, 2013. http://dx.doi.org/10.1109/icceee.2013.6634026.
Повний текст джерелаYin, Zhiyuan, Fang Yang, and Tieyuan Shen. "Application of Set Pair Analysis on QPE and Rain Gauge in Flood Forecasting." In 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.
Повний текст джерелаKim, Byung Sik, Jun Bum Hong, Hung Soo Kim, and Seok Young Yoon. "Combining Radar and Rain Gauge Rainfall Estimates for Flood Forecasting Using Conditional Merging Method." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)414.
Повний текст джерелаЗвіти організацій з теми "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, September 1988. http://dx.doi.org/10.21236/ada200802.
Повний текст джерела