Academic literature on the topic 'WRFM'
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Journal articles on the topic "WRFM"
Oliinyk, Svitlana, Olga Samokhvalova, Nadegda Lapitskaya, and Zinoviya Kucheruk. "STUDY OF THE INFLUENCE OF MEALS OF WHEAT AND OAT GERMS AND WILD ROSE FRUITS ON THE FERMENTING MICROFLORA ACTIVITY OF RYE-WHEAT DOUGH." EUREKA: Life Sciences 1 (January 24, 2020): 40–47. http://dx.doi.org/10.21303/2504-5695.2020.001114.
Full textCasati, B. "New Developments of the Intensity-Scale Technique within the Spatial Verification Methods Intercomparison Project." Weather and Forecasting 25, no. 1 (February 1, 2010): 113–43. http://dx.doi.org/10.1175/2009waf2222257.1.
Full textLangkamp, T. "Influence of the compiler on multi-CPU performance of WRFv3." Geoscientific Model Development Discussions 4, no. 1 (March 21, 2011): 547–73. http://dx.doi.org/10.5194/gmdd-4-547-2011.
Full textLangkamp, T., and J. Böhner. "Influence of the compiler on multi-CPU performance of WRFv3." Geoscientific Model Development 4, no. 3 (July 13, 2011): 611–23. http://dx.doi.org/10.5194/gmd-4-611-2011.
Full textConnolly, D., C. Fitzpatrick, L. O’toole, F. O’shea, and M. Doran. "OP0265-HPR FACTORS ASSOCIATED WITH MEETING WORK DEMANDS FOR INDIVIDUALS WITH RHEUMATIC DISEASES." Annals of the Rheumatic Diseases 79, Suppl 1 (June 2020): 166.1–166. http://dx.doi.org/10.1136/annrheumdis-2020-eular.5550.
Full textKościelniak, Lucyna, and Ewelina Moroń. "Historia migana – między narracją a przekładem. Uwagi metodologiczne do zbierania i opracowywania relacji osób niesłyszących." Wrocławski Rocznik Historii Mówionej 7 (December 29, 2017): 35–67. http://dx.doi.org/10.26774/wrhm.166.
Full textRudnicka, Maria. "Czy istnieje życiorys mówiony? O przenikaniu gatunków mówionych i pisanych – próba genologii na przykładzie analizy wypowiedzi autobiograficznych." Wrocławski Rocznik Historii Mówionej 7 (January 29, 2017): 69–101. http://dx.doi.org/10.26774/wrhm.167.
Full textVaněk, Miroslav. "Słuchać, poszukiwać, rozumieć. Nie tylko o dialogu interdyscyplinarnym i oral history." Wrocławski Rocznik Historii Mówionej 7 (January 29, 2017): 103–17. http://dx.doi.org/10.26774/wrhm.168.
Full textKnapczyk, Sonia. "„Gdzie diabły szepcą dobranoc” – powojenne osadnictwo w Bieszczadach." Wrocławski Rocznik Historii Mówionej 7 (December 29, 2017): 119–48. http://dx.doi.org/10.26774/wrhm.169.
Full textSroka, Piotr. "Ks. Andrzej Dziełak „Gdyby nie kardynał kominek, nie byłoby Jana Pawła II”. Wspomnienie o Bolesławie Kominku i Orędziu biskupów Polskich do biskupów niemieckich." Wrocławski Rocznik Historii Mówionej 1 (October 30, 2011): 195–212. http://dx.doi.org/10.26774/wrhm.17.
Full textDissertations / Theses on the topic "WRFM"
Wickramanayake, Ama Manjarie. "WRFM Process Improvement." Thesis, University of Canterbury. Engineering Management, 2014. http://hdl.handle.net/10092/8953.
Full textCarvalho, Susana Maria Caldeira da Silva Gouveia. "Validação de nuvens no WRF." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/11949.
Full textO presente trabalho pretende estabelecer uma metodologia para validação das nuvens geradas pelo modelo WRF operacional, disponibilizado na página do CliM@UA da Universidade de Aveiro. Utilizaram-se, para o efeito, ferramentas informáticas como os Sistemas de Informação Geográfica e programas de tratamento e interpretação de imagens de satélite. A verificação do modelo foi avaliada através de parâmetros probabilísticos e de atributos de objetos. Foi também efetuada uma análise da sensibilidade do modelo à microfísica das nuvens. Testaram-se quatro esquemas de microfísica, para além do que é considerado no modelo operacional. No que respeita à verificação do modelo operacional concluiu-se que este simula o campo de nuvens total de uma forma mediana e fica bastante aquém da realidade. No campo de nuvens altas o comportamento do modelo melhora, embora o modelo sobrestime a área de nuvens altas. Relativamente aos testes de sensibilidade, existe similaridade, no campo de nuvens total, no comportamento do modelo com as parametrizações de WSM6, WDM6 e Lin. Os resultados das parametrizações Kessler e Thompson são bastante inferiores. No campo de nuvens altas concluiu-se que o modelo com a parametrização de Lin é o que obtém o melhor comportamento. Do conjunto da análise da verificação e da sensibilidade, concluiu-se que seria aceitável experimentar a parametrização de Lin no modelo operacional.
This work aims to establish a methodology for validation of clouds generated by the operational WRF model, available on the website of CliM@UA (Aveiro´s University). For that purpose computer tools such as Geographic Information Systems and treatment and interpretation of satellite images software were used. The verification of the model was assessed using probabilistic parameters and object attributes. A sensitivity analysis of the model to the cloud microphysics was also performed. Four microphysics schemes, in addition to what is considered in the operational model were tested. From the operational model verification it was possible to conclude the model simulates the total cloud field in a median way, being far from reality. In the high clouds field the model behaviour improves, although the model overestimates the area of high clouds. From the sensitivity test, similar results were obtained using the parameterization WSM6, WDM6 and Lin for the total cloud field. The values obtained from the parameterization of Kessler and Thompson were considerably smaller. In the high cloud field it can be concluded that the model with the Lin's parameterization presents the best behaviour. From the set of parameterizations included in the sensitivity tests, it was concluded that it would be recommended to include the Lin's parameterization in the operational model.
Waxegård, Anna. "Verifiering av WRF-modellen över Svalbard." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-160191.
Full textJörpeland, Jon. "WRF-data analysis at Svalbard 1989-2010." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-238812.
Full textWilson, Aaron Benjamin. "Enhancement of Polar WRF atmospheric and surface processes: An annual simulation." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1268066611.
Full textWilliams, John K. (John Kenneth). "WRF-Var implementation for data assimilation experimentation at MIT." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45784.
Full textIncludes bibliographical references (p. 55-57).
The goal of this Masters project is to implement the WRF model with 3D variational assimilation (3DVAR) at MIT. A working version of WRF extends the scope of experimentation to mesoscale problems in both real and idealized scenarios. A state-of-the-art model and assimilation package can now be used to conduct science or as a benchmark to compare new methods with.The second goal of this project is to demonstrate MIT's WRF implementation in an ongoing study of the impact of position errors on contemporary data assimilation (DA) methods [21]. In weather forecasting, accurately predicting the position and shape of small scale features can be as important as predicting their strength. Position errors are unfortunately common in operational forecasts [2, 14, 21, 27] and arise for a number of reasons. It is difficult to factor error into its constituent sources [21].Traditional data assimilation methods are amplitude adjustment methods, which do not deal with position errors well [4, 21]. In this project, we configured the WRF-Var system for use at MIT to extend experimentation on data assimilation to mesoscale problems. We experiment on position errors with the WRF-Var system by using a standard WRF test; a tropical cyclone. The results for this identical twin experiment show the common distorted analysis from 3DVAR in dealing with position errors. A field alignment solution proposed by Ravela et al. [21] explicitly represents and minimizes position errors. We achieve promising results in testing this algorithm with WRF-Var by aligning WRF fields from the identical twin.
by John K. Williams.
S.M.
Tuchtenhagen, Patricia Nunes, and Patricia Nunes Tuchtenhagen. "WRF e o potencial eólico no Brasil em 2011." Universidade Federal de Pelotas, 2013. http://repositorio.ufpel.edu.br:8080/handle/prefix/3381.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
A crescente demanda e consumo de energia elétrica, tanto pela sociedade econômica como social; em adição à política mundial para a implementação de sistemas de geração empregando fontes renováveis, tem sido fator determinante na expansão de fazendas eólicas em diferentes países. Para a determinação do local para a instalação de fazendas eólicas é de importância fundamental proceder a estudos, realizar análises e avaliar a disponibilidade da fonte que permite gerar a energia, ou seja, do vento, em níveis de altura compatíveis com a dos geradores eólicos. Tendo em vista que, raramente se dispõe de dados de medições do vento necessários para consolidar os requisitos básicos e fundamentais, particularmente sobre o Brasil, é proposta, desenvolvida e aplicada uma metodologia que permite avaliar o potencial eólico sobre o país para um ano. Os dados necessários para elaborar o mapeamento e a avaliação do potencial eólico, durante o ano de 2011, foram produzidos, de hora em hora, com o processamento do modelo de mesoescala WRF (Weather Research and Forecasting). A avaliação dos resultados foi realizada em termos de médias diárias, número de horas sequenciais com ventos, vento médio acima de valores pré-estabelecidos de vento e período de rampa, análises sazonal e anual, frequência dos ventos e densidade da probabilidade de Weibull. Como conclusão geral da análise realizada, foram caracterizadas algumas regiões do país, localizadas próximas do litoral do Nordeste e Sul do país, que se apresentam como locais marcadamente favoráveis à instalação de fazendas eólicas. Entretanto, aponta-se, também, que há diversas outras áreas esparsas sobre o país que podem ser indicadas como locais com grande potencialidade energética.
The increasing demand and electric energy consumption, by both economic and social society, in addition to the worldwide politics for the implementation of generation systems employing renewable sources, has been determinant factors of the expansion of wind farms in different countries. To find out an installation local of wind power farms, it is of fundamental importance to proceed studies, perform analysis and evaluate the availability of the source to generate energy – that is, the wind at vertical levels which are consistent with the wind turbine height. Given that, scarcely the wind measurement data needed are available to consolidate the basic and fundamental requirements, particularly over Brazil, it is proposed, developed and a methodology is applied, for the assessment of wind energy potential over the country for a year. The required data for the mapping and assessment of wind energy potential, during the year 2011 were produced, for every hour, throughout the mesoscale model WRF (Weather Research and Forecasting) forecasting. The result evaluation has been performed in terms of daily mean wind average, number of sequential hours with wind, wind above pre-established values and ramp period, seasonal and annual analysis, wind frequency analysis and Weibull probability density. The general conclusion of the performed analysis has been the characterization of some region of the country, located nearby the shoreline of the Northeast and South of the county, as remarkable locals favorable for the installation of wind farms. However, it has been also pointed out that there are several other areas, scattered over the country, which can be suitable places with great energy potentiality.
Teixeira, João Carlos Martins. "WRF sensitivity to lower boundary and urban canopy parametrizations." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10175.
Full textAo longo dos anos avanços, na tecnologia de satélite viabilizaram a aquisição de informações sobre a superfície da Terra, tais como elevação e uso do solo, com grande detalhe e resolução. Esta informação pode ser incluída em modelos numérico da atmosfera, atualizando e dando-lhes mais detalhes sobre as condições de fronteira inferior. Assim sendo, este trabalho visa estudar a sensibilidade do Weather Research and Forecasting model a três conjuntos de dados de topografia, e dois de uso do solo diferentes. Um caso de estudo em que a precipitação orográfica foi dominante sobre a Ilha da Madeira foi considerado mostrando que, em geral não existe um aumento significativo da performance do modelo ao usar topografia ou uso do solo de alta resolução. Contudo, existe uma melhor performance do modelo em simular a precipitação a barlavento e o fluxo a sotavento da ilha. Dada a natureza deste estudo, considerou-se também um teste à sensibilidade de três parametrizações de microfísica, sendo que os resultados encontrados não mostram alterações significativas aos resultados encontrados. Além disso, a introdução de um novo conjunto de dados de uso do solo tornou possível realizar simulações usando modelos urbanos acoplados. Assim, de forma a estudar a sensibilidade a estes modelos considerou-se um caso de estudo sobre a região de Lisboa. Ao utilizar um modelo urbano verificou-se que sobre a região urbana existe um arrefecimento à superfície quando comparando com as simulações de controlo. Além disso verificou-se uma grande diferença no escoamento e na energia turbulenta produzida sobre esta zona. Estas diferenças podem por sua vez intaragem com ondas gravíticas, alterando a sua fase e amplitude. Além disso, ao comparar os resultados com dados observados verificou-se que, em geral, não existe melhoria na performance do modelo para este caso de estudo. No entanto o uso do modelo urbano BEP melhora significativamente os resultados relativos à altura da camada de mistura.
Through the years, the advances in satellite technology made feasible the acquisition of information about the Earth surface, such as elevation and land use, with great detail and resolution. This information can be included in numerical atmospheric models, updating and giving them more details about the lower boundary. Given so, this work aims to study the sensitivity of the Weather Research and Forecast model to three different topography datasets as well as two different land use datasets. A test case study in which topography driven precipitation was dominant over Madeira Island was considered. Overall, results show that there is no enhancement of model skill when using higher resolution topography or land use. However, there is a higher model skill simulating precipitation on Madeira leeward and wind flow windward. Additionally, given the nature of this event, a sensitivity test was also performed considering three different microphysics parametrizations. This test showed that the choice of the microphysics parametrizations does not significantly change the results found for this event. Furthermore, the introduction of a new land use dataset turned possible to perform simulations using Urban Canopy Models. Therefore, the sensitivity of the model to these urban parametrizations was also performed. In this work, a case study for the Lisbon region was chosen and showed that the simulations that used a urban canopy model presented a cooling in the urban region. Moreover, larger changes were observed for wind flow and turbulence kinetic energy over the area. In addition, it was shown that these could change the phase and amplitude of gravity waves that were generated in the region. When comparing to observed data it was seen that there is no enhancement of model skill when using these models. However, the planetary boundary layer is better represent by BEP urban model.
Melo, Camylla Maria Narciso de. "Using the WRF numerical model for the purpose of generation eolioelÃtrica: case study for MaracanaÃ, CearÃ." Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14606.
Full textThis paper analyzes the mesoscale model WRF (Weather Research And Forecast) to verify its reliability in use as a research tool in areas with potential for eolioeletric generation. The area chosen for study was a farm located in Maracanaà in the state of CearÃ. On the farm was installed an anemometer tower of 80 meters high with three anemometers, 1 windsock, 1 temperature sensor and a pyranometer, all sensors connected to a datalogger. The data collected in this tower were used for comparison with the data obtained through simulations in WRF. In the simulations the model was evaluated for two different climatic conditions in the region, the rainy and the dry seasons. The periods chosen to perform the simulations are: March/2012 (representing the rainy season) and November/2011 (representing the dry season). Was performed five sensitivity tests, which were exchanged in the parameterizations of the Planetary Boundary Layer (PBL), Surface Layer (CS) and Ground Surface Model (GSM). The simulation results were evaluated according to the Pearson's correlation method, that one has parameter values from -1 to 1 which presents an index of correlations ranging from bad (-1) to great (1). The simulation with the best performance in the dry and rainy periods presented values for correlations of 0.76 and 0.58, respectively, considered good and fair to the Pearson's parameters. The model was able to satisfactorily represent the local wind behavior for the dry season of the year, and more research is needed in the area to analyze how the model behaves in the representation of the rainy season. Thus, this model provides satisfactory results to be used as a tool for evaluate areas with potential for eolioeletric generation, more research is needed to fit better.
O presente trabalho analisa o modelo de mesoescala WRF (Weather Research and Forecast) para verificar a sua confiabilidade na utilizaÃÃo como ferramenta de investigaÃÃo de Ãreas com potencial para geraÃÃo eolioelÃtrica. A regiÃo escolhida para estudo foi uma fazenda localizada no municÃpio de MaracanaÃ, no estado do CearÃ. Na fazenda foi instalada uma torre anemomÃtrica de 80 metros de altura com 3 anemÃmetros, 1 biruta, 1 sensor de temperatura e um piranÃmetro, todos os sensores conectados a um datalogger. Os dados coletados nesta torre foram utilizados para comparaÃÃo com os dados obtidos atravÃs das simulaÃÃes no WRF. Nas simulaÃÃes o modelo foi avaliado para duas situaÃÃes climatolÃgicas distintas na regiÃo, o perÃodo chuvoso e o seco. Os perÃodos escolhidos para realizar as simulaÃÃes sÃo: marÃo/2012 (representando o perÃodo chuvoso) e novembro/2011 (representando o perÃodo seco). Foram realizados cinco testes de sensibilidade, nos quais foram permutadas as parametrizaÃÃes da Camada Limite PlanetÃria (CLP), Camada de SuperfÃcie (CS) e o Modelo de Solo SuperfÃcie (MSS). Os resultados das simulaÃÃes foram avaliados segundo o mÃtodo de correlaÃÃo de Pearson, mÃtodo este que possui parÃmetros de valores de -1 a 1 onde apresenta um indicativo de correlaÃÃes que vÃo de pÃssimas (-1) a Ãtimas (1). A simulaÃÃo com o melhor desempenho no perÃodo seco e chuvoso apresentaram valores de correlaÃÃes de 0,76 e 0,58, consideradas forte e moderada, para os parÃmetros de Pearson, respectivamente. O modelo conseguiu representar de forma satisfatÃria o regime de vento local para a estaÃÃo seca do ano, sendo necessÃrias mais pesquisas na Ãrea para analisar como o modelo se comporta na representaÃÃo do perÃodo chuvoso. Assim este modelo apresenta resultados satisfatÃrios para ser utilizado como ferramenta para avaliaÃÃo de regiÃes com potencial em geraÃÃo eolioelÃtrica, sendo necessÃrias mais pesquisas para ajustÃ-lo melhor.
Iwabe, Clara Miho Narukawa. "Ciclones secundários no Sudoeste do Atlântico Sul: climatologia e simulação numérica." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/14/14133/tde-08042013-180829/.
Full textSecondary cyclones are systems that are not well defined yet and they are difficult to predict, requiring further studies to identify the signals that trigger their development. In this study we carried out a climatology and numerical study of secondary cyclogenesis over the southwestern South Atlantic Ocean in order to obtain information about these systems and understand the dynamic processes involved in its development. The climatology for the period 1980-2010 shows that an average of 3.9 secondary systems per year develops in the southwestern South Atlantic Ocean. These systems occur with more and less frequency in the colder and warmer months, respectively. Two distinct types of secondary cyclones were found. TYPE1 forms eastward and over the warm front region of the primary cyclone. These systems develop due to warm advection at lower levels and relatively weak influence of potential vorticity (PV) anomalies at upper levels. TYPE2 develops westward/northwestward of the primary cyclone where strong cold advection predominates at lower levels. However, in this type, the lower troposphere is heated due to intense heat and moisture fluxes and at upper levels it is forced by PV anomalies. Numerical simulations using the Weather Research and Forecasting model (WRF) indicate that the sensible and latent heat fluxes on surface act as intensification mechanisms for both TYPE1 and TYPE2 secondary cyclones and that the latent heat flux influences more on decreasing the pressure in these systems. The numerical experiments show that the cyclone TYPE2 does not develop in the absence of PV anomalies, while the TYPE1 does, but it is relatively weaker and delayed in time. Factors separation analysis indicates that the PV anomaly and some other mechanism unrelated to the factors evaluated in the simulations have a triggering role in the development of the secondary cyclone TYPE1, while the interaction of PV anomaly with surface fluxes acted to intensify the cyclone. The TYPE2 development occurred solely due to PV anomaly, which also acted to intensifying together with heat/moisture fluxes on surface as well as the interaction processes of these two factors.
Books on the topic "WRFM"
Kalsum. Wawacan dalam khasanah sastra Sunda dan suntingan teks wawacan rawi Mulud (WRM). Jatinangor, Sumedang: Sastra Unpad Press, 2010.
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 textMcAllister, Michael J. Case studies in educational auditing: Outcomes of a WRFE project undertaken in Lancashire County FE Colleges June 1989-90. [Preston]: [Lancashire County Council], 1991.
Find full textB. R. S. B. Basnayake. Structure and movement of tropical cyclones over the North Indian ocean simulated by WRF-ARW model. Dhaka: SAARC Meteorological Research Centre, 2010.
Find full textB. R. S. B. Basnayake. Nor'westers over Bangladesh and neighborhood during pre-monsoon season of 2009: Observations and WRF model simulations. Dhaka: SAARC Meteorological Research Centre, 2010.
Find full textNeto, Pedro. Robotics in Smart Manufacturing: International Workshop, WRSM 2013, Co-located with FAIM 2013, Porto, Portugal, June 26-28, 2013. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textDas, Someshwar. Assimilation of storm 2009 field observations in WRF model and their impact on the simulations of thunderstorms. Dhaka: SAARC Meteorological Research Centre, 2012.
Find full textEvaluation of the WRFE Programme (Research Series: 55). The Stationery Office Books (Agencies), 1995.
Find full textBook chapters on the topic "WRFM"
Rohland, Christoph J. "Ziele des WRFU." In essentials, 15. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34904-2_5.
Full textRohland, Christoph J. "Anteil Stimmen im WRFU." In essentials, 17–19. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-34904-2_6.
Full textNarasimhan, Priya, Brian Blake, and Giacomo Cabri. "WRSM 2003 PC Co-Chairs’ Message." In On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops, 870. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39962-9_85.
Full textDobrinkova, Nina, Georgi Jordanov, and Jan Mandel. "WRF-Fire Applied in Bulgaria." In Numerical Methods and Applications, 133–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18466-6_15.
Full textMues, A., A. Lauer, and M. Rupakheti. "PM Modelling over Nepal with WRF-Chem." In Springer Proceedings in Complexity, 319–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24478-5_52.
Full textVarlas, G., P. Katsafados, and A. Papadopoulos. "Temperature Seasonal Predictability of the WRF Model." In Perspectives on Atmospheric Sciences, 75–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35095-0_11.
Full textBarutcu, Burak, Seyda Tilev Tanriover, Serim Sakarya, Selahattin Incecik, F. Mert Sayinta, Erhan Caliskan, Abdullah Kahraman, Bulent Aksoy, Ceyhan Kahya, and Sema Topcu. "Improving WRF GHI Forecasts with Model Output Statistics." In Progress in Clean Energy, Volume 1, 291–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16709-1_20.
Full textBauer, Hans-Stefan, Thomas Schwitalla, Oliver Branch, Rohith Thundathil, Stephan Adam, and Volker Wulfmeyer. "WRF Simulations to Investigate Processes Across Scales (WRFSCALE)." In High Performance Computing in Science and Engineering '19, 501–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66792-4_34.
Full textKolokytha, Elpida, and Charalampos Skoulikaris. "WRM and EU policies to adapt to climate change." In Climate Change-Sensitive Water Resources Management, 4–24. First edition. | Boca Raton : CRC Press, [2021] | Series: IAHR monographs series: CRC Press, 2020. http://dx.doi.org/10.1201/9780429289873-2.
Full textJolivet, S., and F. Chane-Ming. "WRF Modelling of Turbulence Triggering Convective Thunderstorms over Singapore." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 115–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43489-5_14.
Full textConference papers on the topic "WRFM"
Kingsley, Iheajemu, Attah Thomson, Igban Kalu, and Adeniran Babatunde. "WRFM Technical Data Management - An Enabler for Effective WRFM Value Loop Excellence." In SPE Nigeria Annual International Conference and Exhibition. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/184323-ms.
Full textEgbe, ThankGod, Gideon Sanni, and Abba Chiroma. "Advances in WRFM Technology Integration." In SPE Nigeria Annual International Conference and Exhibition. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/193528-ms.
Full textFedorov, N., and D. Pavlov. "Leveraging WRFM Data to Reduce Reservoir Connectivity and Correlation Uncertainties." In Far East Hydrocarbons 2019. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201951025.
Full textGonzalez, Santiago, Fernando Gomez, Gregorio Gonzalez, and Jacobo Montero. "Benchmarking Well, Reservoir and Facility Management WRFM Performance in Greenfield Heavy Oil Assets." In SPE Kuwait Oil & Gas Show and Conference. Society of Petroleum Engineers, 2019. http://dx.doi.org/10.2118/198167-ms.
Full textZeidan, A. A., Reeham Ali Redha, Darryl D. Williams, and Jacobo Enrique Montero. "Implementing WRFM Well, Reservoir, Facility Management and Smart Field Best Practices for EOR Optimization." In SPE International Heavy Oil Conference and Exhibition. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/193693-ms.
Full textSa'ad, Abdul-Wahab, Olumide Ayeni, Obaro Unukogbon, Obiora Nwosu, and Imonitie Imorame. "Raising the Sleeping Giants: Restarting of Alpha & Beta Fields World-Class WRFM Collaboration." In SPE Nigeria Annual International Conference and Exhibition. Society of Petroleum Engineers, 2020. http://dx.doi.org/10.2118/203640-ms.
Full textZeidan, A. A., Reeham Ali Redha, and Darryl D. Williams. "Implementing WRFM Well, Reservoir, Facility Management and Smart Field Best Practices for EOR Optimization." In SPE EOR Conference at Oil and Gas West Asia. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/190345-ms.
Full textSaraiva, Rafael. "Clusterização e Análise da Carteira de Clientes de Time de Futebol Brasileiro via Modelagem WRFM." In ANAIS DO 14º SIMPóSIO BRASILEIRO DE AUTOMAçãO INTELIGENTE. Galoa, 2019. http://dx.doi.org/10.17648/sbai-2019-112460.
Full textSunday, Ewhoforama, Oghene Nkonyeasua, Ayeni Olumide, Ibikunle Gbolade, William Tamunotonye, and Ori-Jesu Efe. "Optimising Reservoir Production in WRFM by Unleashing Locked-in Potential through Trusted Data at Finger's Tip." In SPE Nigeria Annual International Conference and Exhibition. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/184367-ms.
Full textGolushko, A., D. Pesotskaya, B. Mabrouki, A. Beresnev, M. Nakatsukasa, A. Garipov, and M. Petrova. "Making Use of 4D Seismic on Lunskoye Field to Calibrate Static and Dynamic Models and Define WRFM Scope." In Geomodel 2021. European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.202157052.
Full textReports on the topic "WRFM"
Wiersema, David John, Katherine A. Lundquist, and Fotini Katapodes Chow. A framework for WRF to WRF-IBM grid nesting to enable multiscale simulations. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1331464.
Full textTran, Duc. WRF Validation in Portland, OR. Portland State University Library, January 2014. http://dx.doi.org/10.15760/honors.72.
Full textLeGrand, Sandra, Christopher Polashenski, Theodore Letcher, Glenn Creighton, Steven Peckham, and Jeffrey Cetola. The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41560.
Full textPoppeliers, Christian, Katherine Anderson Aur, Lauren Bronwyn Wheeler, Christian Poppeliers, and Leiph Preston. Building and Running TDAAPS Models: WRF Postdictions. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1472225.
Full textNeef, Paul A., Adrian M. Crowley, Dwight Pavek, Wayne Young, and Kelly M. Vinson. War Reserve Materiel Capability Assessment (WRM-CA). Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada405417.
Full textAur, Katherine, Leiph Preston, Christian Poppeliers, and Michelle Williams. Building and Running TDAAPS Models: WRF Predictions. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1761342.
Full textWheeler, Lauren, Christian Poppeliers, and Leiph Preston. Building and Running TDAAPS Models: Nudged WRF Hindcasts. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1763262.
Full textSauter, Barbara. Weather Research and Forecasting (WRF) Results Over New Mexico. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada443014.
Full textLin, Wuyin, Minghua Zhang, Juanxiong He, Xiangmin Jiao, Ying Chen, Brian Colle, Andrew M. Vogelmann, Ping Liu, Marat Khairoutdinov, and Ruby Leung. Two-Way Integration of WRF and CCSM for Regional Climate Simulations. Office of Scientific and Technical Information (OSTI), July 2013. http://dx.doi.org/10.2172/1087316.
Full textHenmi, Teizi, Robert Flanigan, and Richard Padilla. Development and Application of an Evaluation Method for the WRF Mesoscale Model. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada438387.
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