Academic literature on the topic 'Downscaling'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Downscaling.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Downscaling"
Yano, J. I. "Downscaling, parameterization, decomposition, compression: a perspective from the multiresolution analysis." Advances in Geosciences 23 (June 22, 2010): 65–71. http://dx.doi.org/10.5194/adgeo-23-65-2010.
Full textYhang, Yoo-Bin, Soo-Jin Sohn, and Il-Won Jung. "Application of Dynamical and Statistical Downscaling to East Asian Summer Precipitation for Finely Resolved Datasets." Advances in Meteorology 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/2956373.
Full textZhang, Xunchang, Mingxi Shen, Jie Chen, Joel W. Homan, and Phillip R. Busteed. "Evaluation of Statistical Downscaling Methods for Simulating Daily Precipitation Distribution, Frequency, and Temporal Sequence." Transactions of the ASABE 64, no. 3 (2021): 771–84. http://dx.doi.org/10.13031/trans.14097.
Full textNjuki, Sammy M., Chris M. Mannaerts, and Zhongbo Su. "An Improved Approach for Downscaling Coarse-Resolution Thermal Data by Minimizing the Spatial Averaging Biases in Random Forest." Remote Sensing 12, no. 21 (October 25, 2020): 3507. http://dx.doi.org/10.3390/rs12213507.
Full textWu, Yichen, Zhihua Zhang, M. James C. Crabbe, and Lipon Chandra Das. "Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution." Advances in Meteorology 2022 (June 7, 2022): 1–12. http://dx.doi.org/10.1155/2022/3140872.
Full textLiu, X., P. Coulibaly, and N. Evora. "Comparison of data-driven methods for downscaling ensemble weather forecasts." Hydrology and Earth System Sciences Discussions 4, no. 1 (February 1, 2007): 189–210. http://dx.doi.org/10.5194/hessd-4-189-2007.
Full textCoulibaly, P., and N. Evora. "Comparison of data-driven methods for downscaling ensemble weather forecasts." Hydrology and Earth System Sciences 12, no. 2 (March 20, 2008): 615–24. http://dx.doi.org/10.5194/hess-12-615-2008.
Full textCoulibaly, Paulin, Yonas B. Dibike, and François Anctil. "Downscaling Precipitation and Temperature with Temporal Neural Networks." Journal of Hydrometeorology 6, no. 4 (August 1, 2005): 483–96. http://dx.doi.org/10.1175/jhm409.1.
Full textXu, Mengchao, Qian Liu, Dexuan Sha, Manzhu Yu, Daniel Q. Duffy, William M. Putman, Mark Carroll, Tsengdar Lee, and Chaowei Yang. "PreciPatch: A Dictionary-based Precipitation Downscaling Method." Remote Sensing 12, no. 6 (March 23, 2020): 1030. http://dx.doi.org/10.3390/rs12061030.
Full textSachindra, D. A., F. Huang, A. Barton, and B. J. C. Perera. "Statistical downscaling of general circulation model outputs to catchment scale hydroclimatic variables: issues, challenges and possible solutions." Journal of Water and Climate Change 5, no. 4 (July 15, 2014): 496–525. http://dx.doi.org/10.2166/wcc.2014.056.
Full textDissertations / Theses on the topic "Downscaling"
Charles, Stephen Philip. "Statistical downscaling from numerical climate models." Thesis, Charles, Stephen Philip (2002) Statistical downscaling from numerical climate models. PhD thesis, Murdoch University, 2002. https://researchrepository.murdoch.edu.au/id/eprint/51653/.
Full textLi, Qinglan 1971. "Statistical downscaling and simulation of daily temperature extremes." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99521.
Full textFirstly, a systematic data analysis procedure was proposed for analyzing the variability of daily maximum (Tmax) and minimum (Tmin) temperature characteristics. The suggested procedure consists of performing a detailed statistical analysis of twelve relevant temperature indices that are important for various practical application purposes: mean of diurnal temperature range, frost season length, growing season length, freeze and thaw cycle, 90th percentile of Tmax, 10th percentile of Tmin, means and standard deviations of Tmax, Tmin, and the daily mean temperature. The suggested method was applied to the analysis of daily Tmax and Tmin data for 20 stations in Quebec. The available records used are different from station to station, varying from 44 years to 107 years. In general, it was found that, depending on the temperature index considered as well as on the particular season of the year, there are some significant increasing or decreasing trends at some locations in Quebec. Results of this analysis would provide valuable information on the temporal and spatial variations of daily extreme temperature processes in the region. Furthermore, it can be observed that no systematic spatial variability of the increasing or decreasing trends of any of the twelve temperature indices considered could be identified for a given area in Quebec.
Secondly, two new statistical downscaling models were proposed using the stepwise and robust regression methods in order to describe the linkage between largescale climate variables and the characteristics of Tmax and Tmin at a local site. The performance of these two models was tested using daily extreme temperature data available at Dorval Airport station in Quebec and the NCEP data for 25 different climate variables for the 1961-1990 period. It was found that the proposed stepwise and robust regression downscaling models can provide accurate estimates of fundamental statistical and physical properties of Tmax and Tmin. In addition, it has been observed that three climate variables, the mean sea level pressure, the 850hPa-geopotential height, and the near surface specific humidity, had the most significant effect on Tmax and Tmin at Dorval Airport. Furthermore, as compared with the popular SDSM model, the stepwise and robust regression models can provide more accurate estimates of the local Tmax and Tmin characteristics. In particular, the robust regression model was found to be the most accurate.
Finally, a new stochastic simulation procedure was developed in this study for simulating the Tmax and Tmin temperature time series at a local site using the combination of the first-order autoregressive AR(1) model and the SVD technique. Results of the evaluation of the proposed AR(1)-SVD simulation method using daily extreme temperature data at Dorval Airport for the 1961-1990 period have indicated the feasibility of this method in describing accurately the observed basic statistical properties (mean, standard deviation, and first order autocorrelation) of the daily Tmax and Tmin time series at a local site.
Ferreira, Juan Gabriel de Almeida. "Reconstrução climática para Portugal através de downscaling dinâmico." Doctoral thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/8991.
Full textApresenta-se uma avaliação de vários métodos de downscaling dinâmico. Os métodos utilizados vão desde o método clássico de aninhar um modelo regional nos resultados de um modelo global, neste caso as reanálises do ECMWF, a métodos propostos mais recentemente, que consistem em utilizar métodos de relaxamento Newtoniano de forma a fazer tender os resultados do modelo regional aos pontos das reanálises que se encontram dentro do domínio deste. O método que apresenta melhores resultados envolve a utilização de um sistema variacional de assimilação de dados de forma a incorporar dados de observações com resultados do modelo regional. A climatologia de uma simulação de 5 anos usando esse método é testada contra observações existentes sobre Portugal Continental e sobre o oceano na área da Plataforma Continental Portuguesa, o que permite concluir que o método desenvolvido é apropriado para reconstrução climática de alta resolução para Portugal Continental.
An evaluation of various methods of dynamic downscaling is presented. The methods used range from the classic method of nesting a regional model results in a global model, in this case the ECMWF reanalysis, to more recently proposed methods, which consist in using Newtonian relaxation methods in order to nudge the results of the regional model to the reanalysis. The method with better results involves using a system of variational data assimilation to incorporate observational data with results from the regional model. The climatology of a simulation of 5 years using this method is tested against observations on mainland Portugal and the ocean in the area of the Portuguese Continental Shelf, which shows that the method developed is suitable for the reconstruction of high resolution climate over continental Portugal.
Babaei, Masoud. "Multiscale wavelet and upscaling-downscaling for reservoir simulation." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/10684.
Full textBarcons, Roca Jordi. "A downscaling methodology for microscale wind modelling and forecasting." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/461606.
Full textEls camps de vent pròxims a la superfície es solen obtenir a partir de models numèrics de predicció meteorològica mesoescalar (Numerical Weather Prediction: NWP). Aquests models descriuen la física i la dinàmica de fenòmens atmosfèrics amb extensions que van des de diversos centenars fins a pocs quilòmetres. En configuracions operacionals, aquests models treballen a resolucions insuficients per capturar els efectes que exerceixen orografies complexes sobre el flux. Aquests efectes poden ser rellevants per aplicacions com l'avaluació i previsió del recurs eòlic o la simulació de fenòmens perillosos deguts al vent, com la propagació d'incendis forestals o la dispersió atmosfèrica de substàncies tòxiques. Per aquestes aplicacions, és necessària una estratègia de downscaling mesoescala-microescala. Tradicionalment, els vents en alta resolució s'obtenen mitjançant models de diagnòstic. Aquests models, però, no són capaços de representar fenòmens com els de la recirculació darrere d'obstacles o els perfils de vent en la capa límit atmosfèrica. Gràcies a l'increment del poder computacional, l'ús de models Computational Fluid Dynamics (CFD) s'està estenent ràpidament. Les metodologies per acoblar dinàmicament models mesoescalars i CFD permeten capturar fenòmens físics que no són resolts per models més simples. Tanmateix, el cost computacional dels CFD n'impedeix l'ús en predicció operacional. Per tant, tot i que la capa límit atmosfèrica és intrínsecament dinàmica, la modelització eòlica operativa en alta resolució ha d'enfocar-se en mètodes computacionalment menys exigents, com per exemple, mètodes estadístics o físic-estadístics. Aquesta tesi doctoral proposa una nova metodologia per a la caracterització i pronòstic del vent en alta resolució. El downscaling es basa en una cadena de models; un model mesoescalar, un model microescalar CFD, i les metodologies per l'acoblament físic-estadístic. El doctorat es centra en tres objectius principals: 1) S'avalua la capacitat d'assimilar estacions meteorològiques automàtiques en superfície de WRF-3DVar i LAPS, per a la inicialització del model mesoescalar WRF. Els resultats mostren patrons d'assimilació diferents; el 3DVar mostra característiques de gran escala sense representar la naturalesa no homogènia dels camps superficials; el LAPS reprodueix característiques de petita escala i proporciona una condició inicial coherent amb les observacions. La validació mostra que les prediccions del model WRF inicialitzades amb els anàlisis de LAPS milloren substancialment els camps de vent pronosticats. 2) S'afronta la simulació de cicles diaris amb Alya-CFDWind (CFD-RANS) per tal de pal·liar part de les limitacions provinents de l'assumpció d'atmosfera neutra. Aquestes simulacions transitòries proporcionen un marc adequat per incorporar consideracions tèrmiques degudes a l'estratificació atmosfèrica. Els resultats de l'avaluació del recurs eòlic en un enclau a l'estat Puebla (Mèxic) són prometedors i substancialment millors que els obtinguts amb l'assumpció d'estratificació neutra. 3) Es desenvolupa l'estratègia de downscaling. La metodologia combina una tècnica de segmentació de dominis amb l'ús de funcions de transferència. Aquesta estratègia demostra la capacitat de preservar el patró mesoescalar i d'incorporar els efectes microescalars no resolts pel model mesoescalar gràcies a CFD pre-correguts. Finalment, el downscaling s'aplica amb èxit en la simulació de dispersió atmosfèrica de CO2 procedent d'una erupció límnica al Llac Nyos (Camerun, 1986). El compliment d'aquests objectius ha donat com a resultat una metodologia de downscaling eficient i operacionalment assumible, dissenyada com a post-procés del model mesoescalar i que permet la caracterització i el pronòstic del camp de vents. Actualment, la metodologia està preparada per ser implementada al Servei Meteorològic de Catalunya com a prototip per a la seva validació i avaluació.
Schipper, Janus Willem. "Downscaling of Precipitation in the Upper Danube Catchment Area." Diss., lmu, 2005. http://nbn-resolving.de/urn:nbn:de:bvb:19-41638.
Full textMehrotra, Rajeshwar Civil & Environmental Engineering Faculty of Engineering UNSW. "Multisite rainfall stochastic downscaling for climate change impact assessment." Awarded by:University of New South Wales. Civil and Environmental Engineering, 2005. http://handle.unsw.edu.au/1959.4/23327.
Full textZerenner, Tanja [Verfasser]. "Atmospheric downscaling using multi-objective genetic programming / Tanja Zerenner." Bonn : Universitäts- und Landesbibliothek Bonn, 2017. http://d-nb.info/1149154055/34.
Full textTrigo, Ricardo M. "Improving meteorological downscaling methods with artificial neural network models." Thesis, University of East Anglia, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327283.
Full textBergin, Emma Jean. "Statistical downscaling for hydrological applications in the tropical Andes." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/23980.
Full textBooks on the topic "Downscaling"
Inger, Hanssen-Bauer, and Chen Deliang, eds. Empirical-statistical downscaling. New Jersey: World Scientific Pub Co Inc., 2008.
Find full textBenestad, Rasmus E. Empirical-statistical downscaling. New Jersey: World Scientific Pub Co Inc., 2008.
Find full textKathy, Babbitt, ed. Downscaling: Simplify and enrich your lifestyle. Chicago: Moody Press, 1993.
Find full textBierkens, Marc F. P., 1965-, Finke Peter A, and Willigen P. de, eds. Upscaling and downscaling methods for environmental research. Dordrecht: Kluwer Academic Publishers, 2000.
Find full textDehn, Martin. Szenarien der klimatischen Auslösung alpiner Hangrutschungen: Simulation durch Downscaling allgemeiner Zirkulationsmodelle der Atmosphäre. Sankt Augustin: In Kommission bei Asgard-Verlag, 1999.
Find full textDas, Someshwar. Simulation of seasonal monsoon rainfall over the SAARC region by dynamical downscaling using WRF model. Dhaka: SAARC Meteorological Research Centre, 2012.
Find full textBusuioc, Aristita, and Alexandru Dumitrescu. Empirical-Statistical Downscaling: Nonlinear Statistical Downscaling. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.770.
Full textMearns, Linda, Katharine Hayhoe, and Rao Kotamarthi. Downscaling Techniques for High-Resolution Climate Projections. University of Cambridge ESOL Examinations, 2021.
Find full textSingh, Vijay P., and Taesam Lee. Statistical Downscaling for Hydrological and Environmental Applications. Taylor & Francis Group, 2018.
Find full textLee, Taesam, and Vijay P. Singh. Statistical Downscaling for Hydrological and Environmental Applications. CRC Press, 2018. http://dx.doi.org/10.1201/9780429459580.
Full textBook chapters on the topic "Downscaling"
Yoosefdoost, Arash, Omid Bozorg-Haddad, Jie Chen, Kwok Wing Chau, and Fahmida Khan. "Downscaling Methods." In Climate Change in Sustainable Water Resources Management, 179–278. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1898-8_7.
Full textWilby, Robert L., and Hayley J. Fowler. "Regional climate downscaling." In Modelling the Impact of Climate Change on Water Resources, 34–85. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9781444324921.ch3.
Full textKhanna, Vinod Kumar. "Downscaling Classical MOSFET." In NanoScience and Technology, 45–72. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-3625-2_4.
Full textMatebesi, Sethulego, Thomas Stewart, Maléne Campbell, and Oupa Kale. "Koffiefontein mine downscaling." In Local Responses to Mine Closure in South Africa, 93–103. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003403326-9.
Full textMearns, Linda O., Melissa S. Bukovsky, Sarah C. Pryor, and Victor Magaña. "Downscaling of Climate Information." In Regional Climate Studies, 201–50. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03768-4_5.
Full textKucina, Ivan. "Belgrade/Upgrading by Downscaling." In Uropean Urbanity. Europan 7 and 8, 40–51. Vienna: Springer Vienna, 2007. http://dx.doi.org/10.1007/978-3-211-68145-9_3.
Full textMearns, L. O., M. Bukovsky, S. C. Pryor, and V. Magaña. "Downscaling of Climate Information." In Climate Modelling, 199–269. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65058-6_8.
Full textKim, Heewon, Myungsub Choi, Bee Lim, and Kyoung Mu Lee. "Task-Aware Image Downscaling." In Computer Vision – ECCV 2018, 419–34. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01225-0_25.
Full textSrinivasa Raju, Komaragiri, and Dasika Nagesh Kumar. "Downscaling Techniques in Climate Modeling." In Springer Climate, 77–105. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6110-3_3.
Full textVisconti, Guido. "Downscaling, Regional Models and Impacts." In Climate, Planetary and Evolutionary Sciences, 31–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74713-8_2.
Full textConference papers on the topic "Downscaling"
Goly, Aneesh, and Ramesh S. V. Teegavarapu. "Assessment of Various Statistical Downscaling Methods for Downscaling Precipitation in Florida." In World Environmental and Water Resources Congress 2013. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784412947.105.
Full textLiu, Yumin, Auroop R. Ganguly, and Jennifer Dy. "Climate Downscaling Using YNet." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394486.3403366.
Full textJang, S., and M. L. Kavvas. "Statistical Downscaling versus Dynamic Downscaling: An Assessment Based upon a Sample Study." In World Environmental and Water Resources Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413548.062.
Full textKaramouz, M., S. Nazif, and M. Fallahi. "Rainfall Downscaling Using Statistical Downscaling Model and Canonical Correlation Analysis: A Case Study." In World Environmental and Water Resources Congress 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41114(371)465.
Full textVandal, Thomas, Evan Kodra, Sangram Ganguly, Andrew Michaelis, Ramakrishna Nemani, and Auroop R. Ganguly. "Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/759.
Full textAshry, Mohammed H. "Downscaling Interest In Interest Rates." In 2014 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2014. http://dx.doi.org/10.1109/csci.2014.160.
Full textWonsook Ha, Prasanna H Gowda, Terry A Howell, George Paul, Jairo E Hernandez, and Sukanta Basu. "Downscaling Surface Temperature Image with TsHARP." In 5th National Decennial Irrigation Conference Proceedings, 5-8 December 2010, Phoenix Convention Center, Phoenix, Arizona USA. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2010. http://dx.doi.org/10.13031/2013.35876.
Full textZhang, Zixu, Kohei Inoue, Kenji Hara, and Kiichi Urahama. "Image Downscaling Based on Neugebauer Model." In The 4th IIAE International Conference on Intelligent Systems and Image Processing 2016. The Institute of Industrial Applications Engineers, 2016. http://dx.doi.org/10.12792/icisip2016.079.
Full text"CORDEX – An international climate downscaling initiative." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.f5.evans.
Full text"The added value of dynamical downscaling." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.f5.katzfey.
Full textReports on the topic "Downscaling"
Mamaluy, Denis, Xujiao Gao, and Brian David Tierney. The ultimate downscaling limit of FETs. Office of Scientific and Technical Information (OSTI), October 2014. http://dx.doi.org/10.2172/1160288.
Full textGriffin, Sean. Spatial downscaling disease risk using random forests machine learning. Engineer Research and Development Center (U.S.), February 2020. http://dx.doi.org/10.21079/11681/35618.
Full textvan Haren, C., M. van Eupen, P. Verweij, M. Vittek, S. Islam, C. Terwisscha van Scheltinga, S. Hasan, et al. Land use classification Bangladesh : combining and downscaling existing databases. Wageningen: Wageningen Environmental Research, 2022. http://dx.doi.org/10.18174/576671.
Full textCayan, Dan. Developing Metrics to Evaluate the Skill and Credibility of Downscaling. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1656897.
Full textMaurer, Ed, and Alex Hall. Developing Metrics to Evaluate the Skill and Credibility of Downscaling. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1661196.
Full textWestley, Glenn D. Bancos comerciales en microfinanzas: Mejores prácticas y directrices para el diseño, seguimiento y evaluación de proyectos. Inter-American Development Bank, June 2007. http://dx.doi.org/10.18235/0009780.
Full textMoser, Lauren, and Manuel Alegre. Factores de éxito en financiamiento a la pequeña empresa: Estrategias y mejores prácticas internacionales en "downscaling". Inter-American Development Bank, October 2008. http://dx.doi.org/10.18235/0007102.
Full textJohannesson, G. Accounting for Global Climate Model Projection Uncertainty in Modern Statistical Downscaling. Office of Scientific and Technical Information (OSTI), March 2010. http://dx.doi.org/10.2172/974391.
Full textStenmark, Aurora, Jonas Olsson, and Andreas Dobler. Downscaling climate projections – towards better adaptation strategies in the Nordic countries. Edited by Bo Storrank. Nordic Council of Ministers, 2021. http://dx.doi.org/10.6027/na2021-901.
Full textColeman, Michael L., and Jeffrey D. Niemann. Development and Application of a Soil Moisture Downscaling Method for Mobility Assessment. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada547252.
Full text