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Статті в журналах з теми "RegCM4.1"
Reboita, Michelle Simões, Cássia Gabriele Dias, Lívia Márcia Mosso Dutra, Rosmeri Porfírio da Rocha, and Marta Llopart. "Previsão Climática Sazonal para o Brasil Obtida Através de Modelos Climáticos Globais e Regional." Revista Brasileira de Meteorologia 33, no. 2 (June 2018): 207–24. http://dx.doi.org/10.1590/0102-7786332001.
Повний текст джерелаAgacayak, Tugba, Tayfun Kindap, Alper Unal, Luca Pozzoli, Marc Mallet, and Fabien Solmon. "A case study for Saharan dust transport over Turkey via RegCM4.1 model." Atmospheric Research 153 (February 2015): 392–403. http://dx.doi.org/10.1016/j.atmosres.2014.09.012.
Повний текст джерелаDas, Sushant, Sagnik Dey, S. K. Dash, and George Basil. "Examining mineral dust transport over the Indian subcontinent using the regional climate model, RegCM4.1." Atmospheric Research 134 (December 2013): 64–76. http://dx.doi.org/10.1016/j.atmosres.2013.07.019.
Повний текст джерелаMegrelidze, Lia, Nato Kutaladze, Gizo Gogichaishvili, and Marina Shvangiradze. "Impact of Climate Change on Some Agricultural Crops Distribution and Productivity in Georgia." Acta Horticulturae et Regiotecturae 24, s1 (May 1, 2021): 20–26. http://dx.doi.org/10.2478/ahr-2021-0005.
Повний текст джерелаO'Brien, T. A., P. Y. Chuang, L. C. Sloan, I. C. Faloona, and D. L. Rossiter. "Coupling a new turbulence parametrization to RegCM adds realistic stratocumulus clouds." Geoscientific Model Development 5, no. 4 (August 3, 2012): 989–1008. http://dx.doi.org/10.5194/gmd-5-989-2012.
Повний текст джерелаO'Brien, T. A., P. Y. Chuang, L. C. Sloan, I. C. Faloona, and D. L. Rossiter. "Coupling a new turbulence parametrization to RegCM adds realistic stratocumulus clouds." Geoscientific Model Development Discussions 4, no. 4 (December 9, 2011): 3437–84. http://dx.doi.org/10.5194/gmdd-4-3437-2011.
Повний текст джерелаSangelantoni, Ferretti, and Redaelli. "Toward a Regional-Scale Seasonal Climate Prediction System over Central Italy based on Dynamical Downscaling." Climate 7, no. 10 (October 5, 2019): 120. http://dx.doi.org/10.3390/cli7100120.
Повний текст джерелаSun, Hui, Xiaodong Liu, and Zaitao Pan. "Direct radiative effects of dust aerosols emitted from the Tibetan Plateau on the East Asian summer monsoon – a regional climate model simulation." Atmospheric Chemistry and Physics 17, no. 22 (November 17, 2017): 13731–45. http://dx.doi.org/10.5194/acp-17-13731-2017.
Повний текст джерелаDe Souza, Alexandre Santos, Cleber Souza Correa, and Inácio Malmonge Martin. "Avaliação do modelo regional climático para a previsão de temperatura no centro de lançamento de Alcântara." Latin American Journal of Development 3, no. 5 (September 17, 2021): 2908–21. http://dx.doi.org/10.46814/lajdv3n5-019.
Повний текст джерелаPhan Van, Tan, Hiep Van Nguyen, Long Trinh Tuan, Trung Nguyen Quang, Thanh Ngo-Duc, Patrick Laux, and Thanh Nguyen Xuan. "Seasonal Prediction of Surface Air Temperature across Vietnam Using the Regional Climate Model Version 4.2 (RegCM4.2)." Advances in Meteorology 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/245104.
Повний текст джерелаДисертації з теми "RegCM4.1"
Segalin, Bruna. "Características dos sistemas convectivos de mesoescala nas simulações climáticas do RegCM4." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/14/14133/tde-19122012-154326/.
Повний текст джерелаForecasting and Tracking the evolution of Cloud Clusters (ForTraCC) technique and numerical simulations have been used to understand the development of Mesoscale Convective Systems (MCSs). In general, these systems are associated with intense rainfall, wind gusts, hail and sometimes with tornados. This work has adapted the ForTraCC to track MCSs in the outgoing longwave radiation (OLR) from RegCM4 climatic simulations. The RegCM4 was nested in ERA-Interim reanalysis in a domain covering the South America (SA) for the periods of October-May (8 months) of 1997-2003. The RegCM4 simulated climatology reproduced the main atmospheric patterns observed in SA, with best performance in its southern part. The MCSs\' morphological and kinematic features were investigated in the tropical (AMZ) and subtropical (BP) sectors. ForTraCC tracked a similar number of MCSs in both regions, but the systems presented dierent features. In AMZ (BP) the simulations show the maximum frequency of MCSs in November (January). In terms of life cycle, in the AMZ (BP) the MCSs start at 03 UTC (09 UTC), attain the maximum extension at 06 UTC (14 UTC) and dissipate at 12 UTC (23-00 UTC). This indicates a discrepancy between simulated and observed MCSs\' life cycle according to the literature, which shows MCSs in AMZ following mainly the solar radiation cycle. The strong infuence of low level jet (LLJ) could explain the preferred time (09 UTC) of initiation of MCSs in the BP. In the simulations, the subtropical MCSs are generally larger, long-lived and colder and they are more linear than tropical ones, features also reported in the literature. In AMZ the MCSs do not show a preferential place for genesis and dissipation neither typical trajectories, while in BP they have no preferential place to start but move mainly eastward. Additionally, mesoscale convective complexes (MCCs) were tracked in the area between 10-45ºS and 75-30ºW. On average, the simulated MCCs form at 04 UTC, attain the maximum extension at 12 UTC (coinciding with maximum activity of LLJ), and dissipate at 15 UTC and 23 UTC. The MCCs are mostly continental, last approximately 16.5 hours (long-lived than reported in observations) and are larger than MCSs. The central-northern Argentina, southern-southeastern Brazil and southern Peru are the preferred regions for genesis of simulated MCCs, which present a typical eastward trajectory. Although there are some restrictions and dierences (e.g. horizontal resolution, interval between \"images\") in the used criteria to classify the simulated MCSs and MCCs and literature, the RegCM4 simulated the main observed morphological and kinematics features of these systems.
Silva, Elaine Rosângela Leutwiler di Giacomo. "Oscilação de Madden e Julian: dados observados e simulados pelo modelo RegCM4." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-18092018-150731/.
Повний текст джерелаThe present work proposes to evaluate the ability of the Regional Climatic Model (RegCM4) to simulate the temporal and spatial variability of the signal associated with the propagation of the Madden-Julian Oscillation in the tropics. The evaluation was done by comparing the observed data obtained from the Reanalysis of the ERA-Interim and the data simulated by RegCM4, for the period from 2005 to 2009. Daily global data were used for precipitation, Emergent Long Wave Radiation and zonal wind components at 850 and 200 hPa from the ERA-Interim Reanalysis, both in the simulation and in the observed data. As initial conditions of the model, we chose to use the tropical band, whose main characteristic is to simulate the circulation and the tropical precipitation patterns. The validation of the model was performed with the daily precipitation of the Global Precipitation Climatology Project (GPCP). All data were filtered in the 30-60 day scale in order to observe the signal concerning the MJO. The analysis of the global precipitation and Outgoing Longwave Radiation (OLR) patterns, after filtration, allowed the selection of five areas, with signs associated to the MJO, being: Africa (AFR), Indonesia (IND), North of South America (NAS), Northeast Brazil (NEB) e Southeast Brazil (SEB). The NEB area presented linear correlation values of 0,63 and 0,32 for the anomaly and filtered anomaly of OLR, respectively. The SEB area presented linear correlation values of 0.30 and 0.54 for the anomaly and anomaly of filtered OLR. The BIAS calculated between the model and GPCP precipitation for the dry (MAY-OCT) and rainy seasons (NOV-APR) showed that for South America, South Africa and Indian continent, the model overestimates precipitation values of GPCP in the two seasons. The multivariate analysis between OLR, zonal wind at 850 and 200 hp compared to that obtained for Era-Interim data, the EOF1 applied to RegCM4 data presents convection and convection inhibition in different areas between 15º N and 15º S. While the minimum Empirical Orthogonal Function (EOF1) values for OLR (convection enhancement) of the Era-Interim are observed close to 90º E, the minimum OLR values for the RegCM4 data are observed close to 120º O, with a longitudinal lag of 30º. And while maximum EOF1 values for OLR (convection inhibition) of the ERA-Interim are observed close to 150º E, the maximum values for the simulated data by RegCM4 are observed close to 60º E, with a longitudinal lag of 90º.
Pareja, Quispe David. "Simulación de un pseudo-escenario de cambio climático con el modelo climático regional RegCM4." Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2013. https://hdl.handle.net/20.500.12672/3490.
Повний текст джерелаTesis
Pereira, Gabriel. "Impactos das atualizações do uso e cobertura da terra e das características físico-químicas da vegetação na América do Sul em modelos climáticos." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-21022013-115444/.
Повний текст джерелаThe land use and land cover changes modify the air temperature, precipitation, air moisture, energy balance and regional and global circulations. Consequently, the land use and land cover maps and its physical-chemical and biological properties are important variables for numerical modeling of terrestrial systems. However, in most of regional weather and climate models the land use and land cover maps are not frequently updated, being out-of-date and, influencing the results of simulations. Therefore, this work has as main objective to analyze the impacts in numerical simulations by RegCM4 of land use and land cover maps updating, as well as the alteration of physical parameters, such as the leaf area index (LAI), the visible (<0.7 m) and near infrared and medium (> 0.7 m) reflectance used by the Biosphere Atmosphere Transfer Scheme (BATS). The validation of simulated precipitation by comparison to the Tropical Rainfall Measuring Mission (TRMM) data is also an objective. The comparison between monthly precipitation data estimated by TRMM and the 183 weather stations distributed throughout Brazil presented a concordance of approximately 97%. Also related to rainfall, maximum and minimum temperature simulations, better assessments of RegCM4 were found when SST-ERA-Interim, ERA-Interim reanalysis and cumulus parameterization proposed by Emmanuel were used. In addition, the update of the South America 2007 land use and land cover map used by BATS has improved the simulation of precipitation in 10%, increasing the correlation coefficient from 0.84 to 0.92 (significant at p <0.05, t-test student). Moreover, the results show good agreement between simulated and observed maximum and minimum temperature, with correlation coefficients near to 0.95 for both variables. Correspondingly, the simulations performed with adjustments on maximum fractional of vegetation cover showed precipitation mean value 18% above the observed data. Changes in visible and infrared reflectance and in the leaf area index overestimated the precipitation in 19% and 23%, respectively. It is noteworthy that all simulations showed good agreement for maximum and minimum temperature, with values very close to those observed. The three-monthly (seasonal) change of the physical parameters, which characterize the surface model BATS, provided a reduction of 3% in the mean simulated precipitation if compared to the results obtained without seasonal variation of surface parameters. The linear correlation between simulated and observed monthly precipitation obtained by considering seasonal changes in the surface parameter was equal to 92% (significant at p <0.05, Student\'s t-test). Regarding to atmospheric variables, the more significant differences observed in evapotranspiration, precipitation, relative humidity and temperature above two meters from surface are located in the northwest of Mato Grosso state, at the Mato Grosso do Sul, Mato Grosso states and the Bolivia bordering (placed on the Brazilian Pantanal wetlands), over Northeastern Brazil region, northwestern Paraguay, and River Plate Basin, among others. These important differences are due to the substitution of Tropical Rain Forest by pasture and agriculture and, the replacement of agricultural areas by areas of grass pasture, shrub and Deciduous Forest.
Silva, Michel Rocha da. "Previsão de safra de arroz no estado do Rio Grande do Sul através de modelagem numérica." Universidade Federal de Santa Maria, 2015. http://repositorio.ufsm.br/handle/1/5139.
Повний текст джерелаThe objective of this study was to define a methodology for monitoring a flooded rice crop forecast for Rio Grande do Sul, and to evaluate the effect of the flood time on growth, development and rice productivity. Two experiments were conducted during the 2013/14 growing season, using a randomized blocks design with four replications. The treatments in Experiment 1 were flooding in V3, V5, V8 and V9, and in Experiment 2 the treatments were flooding in V5, V8, V9 and V10. The onset of flooding did not influence the emission of leaves, the final leaf number, the final number of tillers and crop development. Leaf growth rate is affected by the onset of flooding when rainfall was less than the crop evapotranspiration. It is not clear if kernel yield is or not affected by the time that flooding starts. To define a methodology for monitoring a flooded rice crop forecast for Rio Grande do Sul, the SimulArroz rice model were coupled to regional climate model RegCM4 for generation the daily seasonal forecast. Nine members of RegCM4 model were used, with different parameterization (01, 07, 10, 13, 19, 22, 31, 34 and 37) and four boots (01, 02, 3:04) per month, with daily data of minimum temperature, maximum temperature and solar radiation. Three points with 45 km resolution grid were used for generating data of the minimum temperature (°C) maximum temperature (°C) and solar radiation (MJ m-2 day-1), covering the municipalities of Restinga Seca, Itaqui and Uruguaiana. The predictions were compared with SimulArroz crop monitoring with INMET automatic weather stations data and data collected in three cropping areas in Restinga Seca and 2 in Itaqui. The compared variables were leaf emission (Haun Stage - HS), final leaf number, development stage (COUNCE et al., 2000) and productivity (Mg ha-1). The best predicting irrigated rice crop forecast in Rio Grande do Sul were: member 31 minimum temperature, member 34 maximum temperature and a member 01 solar radiation (M31M34M01); minimum and maximum temperature and solar radiation boot 01 member 19 (M19S01) and; minimum and maximum temperature and solar radiation boot 03 member 01 (M01S03). The seasonal forecast generated by RegCM4 model coupled to SimulArroz rice model made possible the numerical prediction of rice crop in Rio Grande do Sul.
O objetivo deste trabalho foi definir uma metodologia para acompanhamento e previsão de safra de arroz irrigado para o Rio Grande do Sul, e avaliar o efeito da época de inundação sobre variáveis de crescimento, desenvolvimento e produtividade de arroz irrigado. Foram conduzidos dois experimentos durante o ano agrícola 2013/14, em delineamento experimental de blocos ao acaso, com quatro repetições. Os tratamentos no Experimento 1 foram: inundação em V3, V5, V8 e V9, e no Experimento 2 os tratamentos foram: inundação em V5, V8, V9 e V10. A época de inundação não influenciou a emissão de folhas, o número final de folhas, o número final de perfilhos e o desenvolvimento da cultura. A taxa de crescimento foliar quando a precipitação foi menor que a evapotranspiração da cultura do arroz. Não é clara se a produtividade de grãos é ou não afetada pela época de inundação do solo. Para definir uma metodologia para acompanhamento e previsão de safra de arroz irrigado para o Rio Grande do Sul, foi utilizado como modelo de arroz o SimulArroz, acoplado ao modelo climático regional RegCM4 para geração dos dados meteorológicos diários da previsão sazonal. Foram utilizados nove membros do modelo RegCM4, com diferentes parametrizações (01, 07, 10, 13, 19, 22, 31, 34 e 37), e quatro inicializações (01, 02, 03 e 04) por mês, com dados diários de temperatura mínima, temperatura máxima e radiação solar.Três pontos de resolução de 45 km de grade foram utilizados para geração dos dados de temperatura mínima (°C), temperatura máxima (°C) e radiação solar (MJ m-2 dia-1), abrangendo os municípios de Restinga Seca, Itaqui e Uruguaiana. As previsões foram comparadas com o acompanhamento de safra do SimulArroz rodado com dados das estações meteorológicas automáticas do INMET, e com dados observados em 3 lavouras em Restinga Seca e 2 em Itaqui. As variáveis comparadas foram emissão de folhas (Haun Stage - HS), número final de folhas, estádio de desenvolvimento (COUNCE et al., 2000) e produtividade (Mg ha-1). As melhores previsões para realizar previsão de safra de arroz irrigado no Rio Grande do Sul foram: temperatura mínima do membro 31, temperatura máxima do membro 34 e radiação solar do membro 01 (M31M34M01); temperatura mínima, máxima e radiação solar da inicialização 01 do membro 19 (M19S01) e; temperatura mínima, máxima e radiação solar da inicialização 03 do membro 01 (M01S03). A previsão sazonal gerada pelo modelo RegCM4 acoplado ao modelo de arroz SimulArroz possibilitou a previsão numérica de safra de arroz para o Rio Grande do Sul.
DEL, GOBBO COSTANZA. "Utilizzo del modello climatico regionale RegCM4 per la ricostruzione di circolazione atmosferica, precipitazioni e campi di temperatura sul ghiacciaio del Tagliamento (Alpi sud-orientali) a 21 ka." Doctoral thesis, Università degli Studi di Trieste, 2021. http://hdl.handle.net/11368/2988360.
Повний текст джерелаThe Last Glacial Maximum (LGM) is a global event that occurred 26 to 21 ka BP. It was characterised by the expansion of ice sheets, mountain glaciers, permafrost and sea ice and was associated with a mean sea level drop of about 120 m. The environment was deeply modified by decreased temperature (3 to 6°C globally) and different precipitation regimes compared with today's conditions. In the southeastern Alps, the Tagliamento glacier expanded into the Friuli plane with a piedmont lobe. Mountain glaciers are inherently sensitive to changes in climate conditions and are strongly affected by temperature and precipitation variations and are thus considered crucial climate indicators. For the Tagliamento glacier during the LGM, the physical processes leading to its extension and mass balance are not yet fully understood. Contributions likely derive from reduced snowmelt and evaporation related to lower temperature and changes in regional circulations. Disentangling these contributions is thus important for a full understanding of the dynamics of the glacier. The low elevation and relatively small accumulation basin of the Tagliamento glacier make it an ideal case study for the application of a high-resolution regional climate model, which can provide climate information at fine spatial scales. Therefore this thesis combines a high-resolution regional climate model (RCM), the ICTP RegCM4 model system, with LGM topography, vegetation and glacier morphology reconstructed from paleoclimate proxies. The primary aim of the thesis is to improve our knowledge about the atmospheric circulation and thermodynamic conditions that sustained the Tagliamento glacier at the LGM. A multiple nesting approach is adopted, with the RegCM4 run at high spatial resolution (12 km) over a greater Alpine domain, with boundary conditions from an intermediate resolution (50 km) RegCM4 simulation, itself driven by the atmospheric component of the MPI Earth System Model (ECHAM). Two 20-year long simulations are conducted and intercompared, one for the climate state at the LGM standard (21 ka BP) and one for pre-industrial conditions. In order to validate and customise the RegCM4 simulation, an experiment forced with ERA-Interim observations reanalysis data is performed and compared with observational precipitation and temperature datasets. For the LGM simulation orbital parameters and greenhouse gas concentrations are set at the LGM values. This is one of the few applications of RCMs to paleoclimate studies today. The results show that RegCM4 at 12 km of resolution is able to capture the spatio-temporal variability of the atmospheric circulation patterns which were responsible for the development of several glaciers in the domain at the LGM, with simulated climate fields compatible with available proxies and other model reconstructions. LGM temperatures are simulated to be about 6.6°C lower than at pre-industrial times, with drier conditions over the study domain, especially north of the alpine chain, and with the southern alpine region relatively wetter due to increasing southerly moist flow. Stratiform and convective precipitation contributed to feed the Tagliamento glacier, with the predominance of convective phenomena from late spring to early autumn, while during the rest of the year southerly and westerly stratiform precipitation prevailed, as originated from a cyclonic circulation. In the southeastern Alps, summer precipitation often occurred as snowfall, limiting extensive melting phenomena, and in general precipitation was higher than in the whole alpine chain. These conditions favoured the development of a large glacier in a southerly exposed, low elevation basin. This project represents a step forward in the framework of paleoclimate studies, adding new high-resolution quantitative information about the atmospheric circulation feeding glacier formation at the LGM and paving the way for several future developments.
Silva, Aline Gomes da. "Estudo sobre a precipita??o simulada no outono na regi?o tropical da Am?rica do Sul atrav?s de downscaling din?mico e previs?o por conjunto." PROGRAMA DE P?S-GRADUA??O EM CI?NCIAS CLIM?TICAS, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/22235.
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Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (CNPq)
Este trabalho apresenta a an?lise do desempenho do m?todo de previs?o por conjunto atrav?s de Regress?o Linear M?ltipla por Componentes Principais (RCP) para combinar simula??es, com diferentes configura??es, executadas com um modelo clim?tico regional (t?cnica downscaling din?mico) a fim de simular a precipita??o sobre a parte tropical da Am?rica do Sul. As an?lises focaram-se em duas sub-regi?es do Brasil: Nordeste Brasileiro (NEB) e Amaz?nia (AMZ). O modelo regional utilizado nas simula??es foi o RegCM4, for?ado por dados do ERA-Interim, produzidos pelo European Center for Medium-Range Weather Forecast (ECMWF). Analisaram-se 18 outonos austrais de 1991 at? 2008. Para a composi??o da previs?o por conjunto foram usados 2/3 do per?odo para treinamento e 1/3 para valida??o, conforme a t?cnica de holdout. Os resultados foram comparados aos dados di?rios de precipita??o do Global Precipitation Climatology Center (GPCC) e com a m?dia aritm?tica (MA) das simula??es, que ? o m?todo geralmente utilizado para previs?o por conjunto. O modelo RegCM4 apresentou potencialidade para prever a precipita??o sobre a regi?o tropical da Am?rica do Sul (AS). Al?m disso, diferentes parametriza??es do modelo podem ser modificadas a fim de torn?-lo mais eficaz. Entretanto, o bom desempenho do modelo somado ao m?todo de previs?o por conjunto RCP aumentou a precis?o, comparada ao m?todo MA apresentando: vieses menos tendenciosos (m?dia pr?xima de zero), enquanto o m?todo MA foi tendencioso (subestimou a precipita??o); maior captura da variabilidade dos dados do GPCC e correla??o moderada com os dados do GPCC, enquanto MA obteve correla??o fraca e maior erro quadr?tico m?dio. Al?m disso, o m?todo RCP reproduziu, com melhor desempenho, a distribui??o da frequ?ncia de chuva di?ria ao longo de todo o per?odo para ambas as regi?es. Portanto, a partir da metodologia desenvolvida e implementada obteve-se melhorias na previs?o da intensidade da chuvas di?rias sobre a regi?o tropical da Am?rica do Sul.
This study presents an analysis of the performance of the method ensemble forecasting by Multiple Linear Regression Principal Component (RPC) to combine simulations with different configurations, performed with a regional climate model (downscaling dynamic technique) in order to simulate rainfall over tropical portion of South America. The analysis focused on two sub-regions of Brazil: Northeast Brazil (NEB) and Amazon (AMZ). The regional model used in the simulations was the RegCM4, forced by ERA-Interim data produced by the European Center for Medium- Range Weather Forecast (ECMWF). They analyzed 18 austral autumns (1991 until 2008). For the composition of a prediction ensemble, were used for training period 2/3 and 1/3 for validation, as holdout technique. The results were compared to daily precipitation data from the Global Precipitation Climatology Center (GPCC) and the average of the simulations (MA method), which is the method generally used for ensemble forecasting. The RegCM4 model showed potential to predict rainfall over the tropical region of AS. Moreover, different parameterization of the model can be modified to make it more effective. However, the good performance of the model combined with the RCP method of prediction ensemble increased accuracy compared to the MA method, with: less biased bias (average close to zero), while the MA method was biased (underestimated precipitation); greater capture the variability of GPCC data and moderate correlation with the GPCC data, while MA obtained weak correlation and greater mean square error. In addition, the reproduced PCR method improves the performance, the distribution of daily precipitation along the entire the period for both regions. Therefore, from the developed and implemented methodology yielded improvements in forecasting intensity of daily rainfall over the tropical region of South America.
Das, Sushant. "Dynamical impacts of aerosols on Indian summer monsoon circulation using regional climate model." Thesis, 2017. http://localhost:8080/xmlui/handle/12345678/7320.
Повний текст джерелаBartík, Lukáš. "Studium troposférické chemie pomocí regionálního klimatického modelu RegCM4 a chemického transportního modelu CAMx." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-435301.
Повний текст джерелаЧастини книг з теми "RegCM4.1"
Papanastasiou, D. K., X. Huang, A. Poupkou, X. Pu, P. Zanis, T. Wang, and D. Melas. "Performance of RegCM4 Model During Heat Waves—A Case Study for China." In Perspectives on Atmospheric Sciences, 129–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35095-0_19.
Повний текст джерелаVelikou, K., K. Tolika, C. Anagnostolpoulou, and P. Zanis. "Physics Parameterizations of Regional Climate Model RegCM4: Sensitivity to Convective Precipitation Schemes." In Perspectives on Atmospheric Sciences, 649–54. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35095-0_92.
Повний текст джерелаIvanov, Vladimir, Rilka Valcheva, and Georgi Gadzhev. "HPC Simulations of the Extreme Thermal Conditions in the Balkan Region with RegCM4." In Advances in High Performance Computing, 309–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55347-0_27.
Повний текст джерелаTsikerdekis, A., P. Zanis, A. L. Steiner, F. Solmon, V. Amiridis, E. Marinou, E. Katragkou, and Theodore S. Karacostas. "Simulated Dust Over the Sahara and Mediterranean with a Regional Climate Model (RegCM4)." In Perspectives on Atmospheric Sciences, 615–20. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35095-0_87.
Повний текст джерелаIvanov, Vladimir, and Georgi Gadzhev. "Behavior and Scalability of the Regional Climate Model RegCM4 on High Performance Computing Platforms." In Large-Scale Scientific Computing, 124–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97549-4_14.
Повний текст джерелаIvanov, Vladimir, Georgi Gadzhev, Kostadin Ganev, and Ivelina Georgieva. "Estimation of the Historical and Future Renewable Energy Potential with RegCM4 over the Region of Southeastern Europe." In Lecture Notes in Networks and Systems, 160–69. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26754-3_14.
Повний текст джерелаKalmár, Tímea, Ildikó Pieczka, and Rita Pongrácz. "A RegCM4.5 regionális klímamodell tesztelése: a hidrosztatikus és nem-hidrosztatikus közelítés szerepe különbözo csapadéksémák alkalmazása." In Egyetemi meteorológiai füzetek, 95–102. ELTE Meteorológiai Tanszék, 2018. http://dx.doi.org/10.31852/emf.30.2018.084.094.
Повний текст джерелаKalmár, Tímea, Ildikó Pieczka, and Rita Pongrácz. "A RegCM4.7 regionális éghajlati modell érzékenysége a földfelszíni és a planetáris határréteg sémákra a Kárpát-medence térségében." In Jelenlegi PhD kutatások a 75 éves Meteorológiai Tanszéken, 55–63. ELTE Meteorológiai Tanszék, 2020. http://dx.doi.org/10.31852/emf.33.2020.055.063.
Повний текст джерелаТези доповідей конференцій з теми "RegCM4.1"
Elizbarashvili, Mariam, Magda Tsintsadze, and Tsezari Mshvenieradze. "Simulation of Temperature and Precipitation Climatology for Georgia using RegCM4." In 2nd International Conference on Environmental Science and Applications (ICESA'21). Avestia Publishing, 2021. http://dx.doi.org/10.11159/icesa21.121.
Повний текст джерелаMakushev, Konstantin M., Anatoly A. Lagutin, Nikolay V. Volkov, and Egor Yu Mordvin. "Validation of the RegCM4/CLM4.5 regional climate modeling system over the Western Siberia." In XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, edited by Gennadii G. Matvienko and Oleg A. Romanovskii. SPIE, 2016. http://dx.doi.org/10.1117/12.2249163.
Повний текст джерелаSu, Yueyv, Yizhuo Wen, and Aili Yang. "Future Changes in Precipitation over Fujian Province using RegCM4 under RCP Emission Scenarios." In ICCDE 2022: 2022 The 8th International Conference on Computing and Data Engineering. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3512850.3512864.
Повний текст джерелаAnwar, Samy Ashraf, Zeinab Salah, Wael Khald, and Ashraf Saber Zakey. "Projecting the Potential Evapotranspiration of Egypt Using a High-Resolution Regional Climate Model (RegCM4)." In ECAS 2022. Basel Switzerland: MDPI, 2022. http://dx.doi.org/10.3390/ecas2022-12841.
Повний текст джерелаChung, Jing Xiang, Sheau Tieh Ngai, Tze Wei Tay, Ju Neng Liew, and Fredolin Tangang. "Simulation of surface temperature in Southeast Asia during the Southeast Asian southwest monsoon using RegCM4." In THE 2015 UKM FST POSTGRADUATE COLLOQUIUM: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2015 Postgraduate Colloquium. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4931196.
Повний текст джерелаAli, Amani H., Zeinab Salah, Samy Ashraf Anwar, and Ashraf Saber Zakey. "Influence of Agricultural Activity on the Surface Climate of New Delta of Egypt Using the RegCM4." In ASEC 2022. Basel Switzerland: MDPI, 2022. http://dx.doi.org/10.3390/asec2022-13763.
Повний текст джерелаMostafa, Sally Mahmoud, Samy Ashraf Anwar, Ashraf Saber Zakey, and Mohamed Magdy Abdel Wahab. "Bias-Correcting the Maximum and Minimum Air Temperatures of Egypt Using a High-Resolution Regional Climate Model (RegCM4)." In ASEC 2022. Basel Switzerland: MDPI, 2022. http://dx.doi.org/10.3390/asec2022-13852.
Повний текст джерелаValcheva, Rilka, Ivan Popov, and Nikola Gerganov. "A SENSITIVITY STUDY OF THE NON-HYDROSTATIC REGIONAL CLIMATE MODEL REGCM-4.7.1 TO PHYSICAL PARAMETRIZATION SCHEMES OVER THE BALKAN PENINSULA AND BULGARIA." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022v/4.2/s19.20.
Повний текст джерелаCAIAN, Mihaela, Crina RADU, and Georgeta BANDOC. "Changes in Breeze Warmest Summers for the Romanian Black Sea Coast in Climate Scenarios for the Time Horizon 2050." In Air and Water – Components of the Environment 2021 Conference Proceedings. Casa Cărţii de Ştiinţă, 2021. http://dx.doi.org/10.24193/awc2021_14.
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