Academic literature on the topic 'RegCM4.1'
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Journal articles on the topic "RegCM4.1"
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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.
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Resumo Este estudo avalia a destreza de dois modelos climáticos globais (CPTEC e CFSv2) e de um modelo climático regional (RegCM4) em prever o clima sazonal em diferentes regiões do Brasil. O RegCM4 foi dirigido tanto com as saídas do sistema CFSv2 quanto do modelo do CPTEC. Também foram utilizadas duas versões do RegCM: a 4.3 e a 4.5. O RegCM4.3 foi dirigido por seis membros do CFSv2, enquanto o RegCM4.5 foi dirigido por um membro do modelo global do CPTEC. Todas as previsões iniciaram cerca de dois meses antes do trimestre a ser previsto e ao todo foram realizadas 94 simulações com o modelo regional. De forma geral, o RegCM4 adiciona valor às previsões dos modelos climáticos globais, principalmente, quando é aninhado às saídas do modelo do CPTEC. Quando o RegCM4.5 é dirigido por esse modelo global e é utilizada a parametrização de convecção cumulus de Emanuel há uma boa performance do modelo regional na previsão da precipitação e temperatura do ar em quase todo o Brasil.
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Agacayak, 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.
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Das, 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.
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Megrelidze, 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.
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Abstract Under the increase of the concern for food security in the world, mainly caused by water resources shortages, the forecast and determination of crop yield at regional scale has been considered as a strategic topic. This study has been conducted to assess the possible impacts of the climate change on cereal crops productivity and irrigation requirement for two main producing regions of Georgia, according to the current crop pattern, and for the 2050s periods. With this aim, water-driven FAO-AquaCrop model has been used. Furthermore, ongoing and forecasted changes, up to the end of the century, in agro-climatic zones relevant for cereals production have been assessed. The climate change data was generated for RCP4.5 scenario through the global circulation model ECHAM4.1, dynamically downscaled on the region via regional climate model (RegCM4.1). Results show overall increase in cereal crop yields, but also enhancement in water shortages even considering optimum management practices under rainfed conditions. Based on the results obtained, recommendations have been developed for adaptation measures to the climate change for the Georgia Agriculture sector.
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O'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.
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Abstract. To model stratocumulus clouds in the regional climate model, RegCM4.1, the University of Washington (UW) turbulence parametrization has been coupled to RegCM. We describe improvements in RegCM's coastal and near-coastal climatology, including improvements in the representation of stratiform clouds. By comparing output from a 27-yr (1982–2009) simulation of the climate of western North America to a wide variety of observational data (station data, satellite data, and aircraft in situ data), we show the following: (1) RegCM-UW is appropriate for use in general regional climate studies, and (2) the UW model distinctly improves the representation of the marine boundary layer in RegCM. These model–data comparisons also show that RegCM-UW has a slight cold bias, a (wet) precipitation bias, a systematic low bias in the vertically-integrated liquid water content near the coast, and a high bias in the fractional cloud coverage. The model represents well the diurnal, monthly, and interannual variability in low clouds. These results show RegCM-UW as a nascent mesoscale stratocumulus model that is appropriate for stratocumulus investigations at scales ranging from hourly to decadal. The source code for RegCM-UW is publicly available, under the GNU license, through the International Centre for Theoretical Physics.
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O'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.
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Abstract. To model stratocumulus clouds in the regional climate model, RegCM4.1, the University of Washington (UW) turbulence parametrization has been coupled to RegCM. We describe improvements in RegCM's coastal and near-coastal climatology, including improvements in the representation of stratiform clouds. By comparing output from a 27-yr (1982–2009) simulation of the climate of Western North America to a wide variety of observational data (station data, satellite data, and aircraft in situ data), we show the following: (1) RegCM-UW is appropriate for use in general regional climate studies, and (2) the UW model distinctly improves the representation of the marine boundary layer in RegCM. These model-data comparisons also show that RegCM-UW has slight cold bias, a (wet) precipitation bias, a systematic low bias in the vertically-integrated liquid water content near the coast, and a high bias in the fractional cloud coverage. The model represents well the diurnal, monthly, and interannual variability in low clouds. These results show RegCM-UW as a nascent mesoscale stratocumulus model that is appropriate for stratocumulus investigations at scales ranging from hourly to decadal. The source code for RegCM-UW is publicly available, under the GNU license, through the International Centre for Theoretical Physics.
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Sangelantoni, 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.
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Anticipating seasonal climate anomalies is essential for defining short-term adaptation measures. To be actionable, many stakeholders require seasonal forecasts at the regional scale to be properly coupled to region-specific vulnerabilities. In this study, we present and preliminarily evaluate a regional-scale Seasonal Forecast System (SFS) over Central Italy. This system relies on a double dynamical downscaling performed through the Regional-scale Climate Model (RCM) RegCM4.1. A twelve-member ensemble of the NCEP-CFSv2 provides driving fields for the RegCM. In the first step, the RegCM dynamically downscales NCEP-CFSv2 predictions from a resolution of 100 to 60 km over Europe (RegCM-d1). This first downscaling drives a second downscaling over Central Italy at 12 km (RegCM-d2). To investigate the added value of the downscaled forecasts compared to the driving NCEP-CFSv2, we evaluate the driving CFS, and the two downscaled SFSs over the same (inner) domain. Evaluation involves winter temperatures and precipitations over a climatological period (1982–2003). Evaluation for mean bias, statistical distribution, inter-annual anomaly variability, and hit-rate of anomalous seasons are shown and discussed. Results highlight temperature physical values reproduction benefiting from the downscaling. Downscaled inter-annual variability and probabilistic metrics show improvement mainly at forecast lead-time 1. Downscaled precipitation shows an improved spatial distribution with an undegraded but not improved seasonal forecast quality.
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Sun, 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.
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Abstract. While dust aerosols emitted from major Asian sources such as Taklimakan and Gobi deserts have been shown to have strong effect on Asian monsoon and climate, the role of dust emitted from Tibetan Plateau (TP) itself, where aerosols can directly interact with the TP heat pump because of their physical proximity both in location and elevation, has not been examined. This study uses the dust-coupled RegCM4.1 regional climate model (RCM) to simulate the spatiotemporal distribution of dust aerosols originating within the TP and their radiative effects on the East Asian summer monsoon (EASM) during both heavy and light dust years. Two 20-year simulations with and without the dust emission from TP showed that direct radiative cooling in the mid-troposphere induced by the TP locally produced dust aerosols resulted in an overall anticyclonic circulation anomaly in the low troposphere centered over the TP region. The northeasterly anomaly in the EASM region reduces its strength considerably. The simulations found a significant negative correlation between the TP column dust load produced by local emissions and the corresponding anomaly in the EASM index (r = −0.46). The locally generated TP dust can cause surface cooling far downstream in Bohai Gulf and the China–North Korea border area through stationary Rossby wave propagation. Although dust from within TP (mainly Qaidam Basin) is a relatively small portion of total Asian aerosols, its impacts on Asian monsoon and climate seems disproportionately large, likely owning to its higher elevation within TP itself.
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De 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.
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Este estudo avaliou a previsão intrasazonal da temperatura à superfície (2 m de altura) na região do Centro de Lançamento de Alcântara (CLA) utilizando O Regional Climate Model RegCM4.7 em comparação aos dados de reanálises obtidos do modelo de reanalises globalERA5 do European Centre for Medium-Range Weather Forecasts (ECMWF) para os meses de abril de 2019 (estação chuvosa) e outubro de 2019 (estação seca). Foram realizadas 4 (quatro) membros de simulações de temperatura utilizando o RegCM4.7 em horários sinóticos, os quais foram comparadas com os dados observacionais e de reanálises do ERA5. Os resultados indicaram uma boa previsibilidade para a temperatura média nos dois períodos, diferenças inferiores a 1 °C, com um grau de diferença para abril e praticamente coincidindo em outubro. Para as temperaturas máximas médias o RegCM4.7 superestimou em 2 °C para abril e 4 °C para outubro. Para as temperaturas médias mínimas subestimou em 2 °C tanto para abril como para outubro. Essas avaliações indicaram um bom desempenho geral para a previsão de temperaturas médias, contudo, sabendo-se da tendência de superestimar temperaturas máximas médias e subestimar temperaturas mínimas médias, ainda assim, com as devidas correções, poderá ser utilizado com eficácia para a previsão intrasazonal de temperatura à superfície em apoio ao planejamento de operações de lançamento no CLA.
This study evaluated the intraseasonal surface temperature (2 m height) forecast in the Alcântara Launch Center (ALC) region using the Regional Climate Model RegCM4.7 against reanalysis data obtained from the European Center for Medium-Range Weather global Forecasts (ECMWF) reanalysis model ERA5 for the months of April 2019 (rainy season) and October 2019 (dry season). Four members of temperature simulations were performed using RegCM4.7 at synoptic times, which were compared with observational and reanalysis data from ERA5. The results indicated a good predictability for the average temperature in the two periods, differences below 1 °C, with one degree of difference for April and practically coinciding in October. For average maximum temperatures RegCM4.7 overestimated by 2 °C for April and 4 °C for October. For average minimum temperatures, it was underestimated by 2 °C for both April and October. These evaluations indicated a good overall performance for predicting average temperatures, however, knowing the tendency to overestimate average maximum temperatures and underestimate average minimum temperatures, even so, with the appropriate corrections, it can be used effectively for forecasting intraseasonal surface temperature analysis in support of ALC launch operations planning.
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Phan 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.
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To investigate the ability of dynamical seasonal climate predictions for Vietnam, the RegCM4.2 is employed to perform seasonal prediction of 2 m mean (T2m), maximum (Tx), and minimum (Tn) air temperature for the period from January 2012 to November 2013 by downscaling the NCEP Climate Forecast System (CFS) data. For model bias correction, the model and observed climatology is constructed using the CFS reanalysis and observed temperatures over Vietnam for the period 1980–2010, respectively. The RegCM4.2 forecast is run four times per month from the current month up to the next six months. A model ensemble prediction initialized from the current month is computed from the mean of the four runs within the month. The results showed that, without any bias correction (CTL), the RegCM4.2 forecast has very little or no skill in both tercile and value predictions. With bias correction (BAS), model predictions show improved skill. The experiment in which the results from the BAS experiment are further successively adjusted (SUC) with model bias at one-month lead time of the previous run showed further improvement compared to CTL and BAS. Skill scores of the tercile probability forecasts were found to exceed 0.3 for most of the target months.
Dissertations / Theses on the topic "RegCM4.1"
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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/.
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Técnicas de rastreamento como o Forecasting and Tracking the evolution of Cloud Clusters (ForTraCC) e simulações numéricas têm sido utilizadas para entender o desenvolvimento de sistemas convectivos de mesoecala (SCMs), que estão associados à precipitação intensa, rajadas de vento, granizo e até mesmo tornados. Este trabalho adaptou o ForTraCC para rastrear SCMs na radiação de onda longa emergente (ROLE) nas simulações climáticas do RegCM4. As simulações utilizaram a reanálise ERA-Interim como condições inicial e de fronteira em um domínio cobrindo a América do Sul (AS) para os períodos outubro-maio (8 meses) de 1997-2003. A climatologia simulada pelo RegCM4 reproduziu os principais padrões atmosféricos observados na AS, com melhor desempenho no setor sul da AS. Foram investigadas características (morfológicas e cinemáticas) dos SCMs no setor tropical (AMZ) e subtropical (BP). O ForTraCC rastreou número semelhante de SCMs nestas regiões, mas com características diferentes. Na AMZ (BP) a simulação mostra máxima frequência de SCMs em novembro (janeiro) e com padrão de ciclo de vida apresentando início às 03 UTC (09 UTC), máxima extensão às 06 UTC (14 UTC) e dissipação às 12 UTC (23-00 UTC). Isto indica discrepância entre o ciclo de vida dos SCMs simulados e observados de acordo com a literatura, que mostra que os SCMs acompanham predominantemente o ciclo de radiação solar. A forte influência do jato de baixos níveis (JBN) explicaria o horário preferencial de início dos SCMs na BP. Nas simulações, os SCMs subtropicais são em geral maiores, duram mais tempo, possuem temperatura mínima menor e são mais lineares que os tropicais, características também reportadas na literatura. Na AMZ os SCMs não apresentam local preferencial de gênese e dissipação e nem trajetórias típicas, enquanto na BP embora se iniciem em qualquer posição movem-se principalmente para leste. Adicionalmente, para a área entre 10-45º S e 75-30º W foram rastreados os complexos convectivos de mesoescala (CCMs). Nas simulações, os CCMs formam-se preferencialmente às 04 UTC, atingem máxima extensão às 12 UTC (coincidindo com a máxima atividade do JBN) e dissipam-se às 15 UTC e 23 UTC. Os CCMs são predominantemente continentais, duram aproximadamente 16,5 horas (duração é maior que a reportada na literatura) e são maiores que os SCMs. O centro-norte da Argentina, sul-sudeste do Brasil, sul do Peru são as regiões preferenciais de gênese dos CCMs simulados e apresentam trajetórias típicas para leste. Embora existam algumas restrições e diferenças (p.ex.: resolução horizontal, intervalo de tempo entre imagens) nos critérios utilizados na classificação dos SCMs e CCMs simulados e os da literatura, o RegCM4 simulou as principais características morfológicas e cinemáticas desses sistemas.Forecasting 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.
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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/.
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O presente trabalho propõe avaliar a habilidade do Modelo Regional Climático, versão 4, (RegCM4) em simular a variabilidade temporal e espacial do sinal associado à propagação da Oscilação de Madden-Julian (OMJ) nos trópicos. A avaliação foi feita através da comparação dos dados observados obtidos do conjunto da Reanálise do ERA-Interim e dos dados simulados pelo RegCM4, para o período de 2005 a 2009. Foram utilizados dados globais diários de precipitação, Radiação de Onda Longa Emergente e componentes zonal do vento em 850 e 200 hPa, provenientes da Reanálise do ERA-Interim, tanto na simulação, quanto nos dados observados. Como condição inicial do modelo, optou-se pela utilização da banda tropical, cujo principal aspecto é o de simular características tanto da circulação quanto dos padrões de precipitação tropicais. Para a validação do modelo, foi utilizada a precipitação diária do Global Precipitation Climatology Project (GPCP). Todos os dados foram filtrados na escala de 30-60 dias a fim de se observar o sinal referente à OMJ. A análise dos padrões globais de precipitação e Radiação de Onda Longa (ROL), após filtragem, permitiu a seleção de cinco áreas, com sinais associados à OMJ, sendo elas: África (AFR), Indonésia (IND), Norte da América do Sul (NAS), Nordeste brasileiro (NEB) e Sudeste brasileiro (SEB). A área NEB, apresentou valores de correlação linear de 0,63 e 0,32 para a anomalia e anomalia de ROL filtrada, respectivamente. Já a área SEB, apresentou valores de correlação linear de 0,30 e 0,54, para a anomalia e anomalia de ROL filtrada. O BIAS calculado entre o modelo e a precipitação do GPCP, para as estações secas (MAI-OUT) e chuvosas (NOV-ABR) mostrou que para a América do Sul, Sul do continente Africano e Índico, o modelo superestima os valores de precipitação do GPCP nas duas estações do ano. Quanto à análise multivariada entre a ROL, vento zonal em 850 e 200 hpa a comparação com o obtido para os dados do Era-Interim, a Empirical Orthogonal Function (EOF1) aplicada aos dados do RegCM4 apresenta convecção e inibição da convecção em áreas distintas da faixa longitudinal entre 15º N e 15º S. Enquanto os valores mínimos de EOF1 para ROL (intensificação da convecção) do Era-Interim são observados próximo a 90º L, os valores mínimos de ROL para os dados do RegCM4 são observados próximos à 120º O, com defasagem longitudinal de 30º. L, enquanto os valores máximos da EOF1 para ROL (inibição de convecção) do Era-Interim são observados próximo a 150º L, os valores máximos para os dados simulados pelo RegCM4 são observados próximos à 60º L, com uma defasagem longitudinal de 90°.The 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.
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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.
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En este trabajo fue evaluado la sensibilidad del clima regional, particularmente sobre la región noreste amazónico del Perú (NAP) en una atmósfera cálida. Permitiendo
de esta manera mejorar nuestro entendimiento de los posibles cambios que experimentaran las variables asociadas al ciclo hidrológico, tales como, precipitación y evapotranspiración. Para ello, fue realizado la simulación numérica de pseudoescenario de cambio climático (PEC) con el modelo climático regional RegCM4, en el cual la temperatura atmosférica y oceánica fueron aumentadas en 3K. Para
su comparación las proyecciones climáticas del modelo acoplado ECHAM/MPI-OM para finales del siglo XXI fueron utilizadas (FUT). Para evaluar la habilidad del modelo en reproducir el clima presente fueron utilizados los datos de CRU y GPCP.
Los resultados encontrados en ambas simulaciones (PEC y FUT), muestran efectos semejantes en el promedio estacional y anual, con algunas diferencias en la intensidad de sus efectos sobre la región NAP. Las variables de precipitación y evapotranspiración mostraron disminución y aumento en las diferentes estaciones del año, por lo cual en un clima más cálido el ciclo hidrológico será afectado, alterando de esta manera también a las otras variables asociadas. La distribución espacial de sus impactos muestran algunas diferencias, porque cada simulación desarrolla su propia respuesta a las forzantes al que fueron sometidas. En general, ambos experimentos presentaron menor precipitación durante la mitad del año. Asimismo, estos resultados son reforzados con lo encontrado en los regímenes climáticos (indice UNEP), las cuales muestran un mayor grado de aridez. Estos efectos fueron más intensos en la simulación PEC, sobre todo en la región de estudio, sin embargo, en otras partes del Perú quien presentó mayores efectos en los regímenes climáticos fue la simulación FUT.Tesis
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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/.
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As mudanças de uso e cobertura da terra ocasionam alterações no balanço de energia, na temperatura do ar, na precipitação, na umidade do ar e na circulação regional e global. Consequentemente, mapas de uso e cobertura da terra e suas respectivas características físico-químicas e biológicas constituem-se em uma importante variável na modelagem numérica de sistemas terrestres. Entretanto, na maioria dos modelos regionais de previsão do tempo e clima, o mapa de uso e cobertura da terra não é atualizado com frequência e encontra-se defasado, o que influencia os resultados das simulações. Desta forma, o presente trabalho tem como objetivo principal verificar o impacto nas simulações numéricas do RegCM4 oriundas da atualização do mapa de uso e cobertura da terra e dos parâmetros físicos como, por exemplo, o índice de área foliar (IAF), a reflectância no visível ( 0,7m) e no infravermelho próximo e médio (>0,7m) utilizados pelo Biosphere Atmosphere Transfer Scheme (BATS), além da validação dos dados provenientes do Tropical Rainfall Measuring Mission (TRMM). Consequentemente, a comparação entre os dados de precipitação mensal estimada pelo TRMM e 183 estações meteorológicas espalhadas por todo o Brasil apresentam uma concordância de aproximadamente 97%. Ainda, em relação à precipitação, temperatura máxima e temperatura mínima, obtém-se um melhor ajuste do modelo RegCM4 quando os dados de entrada do modelo são compostos pelas reanálises do SST-ERA-Interim e ERA-Interim e com a parametrização cúmulos proposta por Emmanuel. A partir da atualização do uso e cobertura da terra utilizado no modelo de superfície BATS para o ano 2007 obteve-se uma melhora de 10% na simulação da precipitação, aumentando de 0,84 para 0,92 o coeficiente de correlação (significante a p<0,05, teste t-student). Do mesmo modo, a simulação realizada com a alteração dos valores de fração máxima de cobertura vegetal apresentou valores de precipitação 18% acima dos observados. Ainda, as alterações da reflectância no visível e no infravermelho próximo e do índice de área foliar superestimaram a precipitação em 19% e 23%. Ressalta-se que todas as simulações apresentaram boa concordância no que diz respeito à temperatura máxima e mínima, apresentando valores muito próximos ao esperado. A variação trimestral dos parâmetros físicos utilizados pelo modelo de superfície BATS reduziram para 3% as superestimativas de precipitação, provendo uma correlação de 92% (significante a p<0,05, teste t-student). Em relação às variáveis meteorológicas, as principais diferenças encontradas na evapotranspiração, precipitação, umidade relativa do ar e temperatura a 2 metros concentram-se na região noroeste do Estado do Mato Grosso, nas divisas dos Estados de Mato Grosso do Sul e Mato Grosso com a Bolívia (áreas alagadas do Pantanal brasileiro), região noroeste do Paraguai e para a região da Bacia do Rio da Prata na Argentina, Região Nordeste do Brasil entre outras, devido principalmente à alteração da classe Floresta Ombrófila Densa para áreas de pastagem e agricultura e à substituição de áreas de agricultura por áreas de gramíneas, pastagem, vegetação arbustiva e Floresta Estacional Decidual.The 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.
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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.
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Conselho Nacional de Desenvolvimento Científico e TecnológicoThe 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.
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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.
Full textAbstract:
L'ultimo massimo glaciale (LGM in inglese) è stato un evento globale avvenuto da 26 a 21 ka, segnato dall'espansione di calotte glaciali, ghiacciai montani, permafrost e ghiaccio marino e associato ad un abbassamento del livello medio del mare di circa 120 m. Le temperature da 3 a 6°C più basse rispetto ad oggi e i diversi regimi di precipitazione hanno profondamente modificato l'ambiente. Durante l'LGM il ghiacciaio del Tagliamento si espandeva nella pianura Friulana con un lobo pedemontano.
I ghiacciai montani sono particolarmente sensibili ai cambiamenti delle condizioni climatiche e sono fortemente influenzati dalle variazioni di temperatura e precipitazioni e quindi sono considerati importanti indicatori climatici.
I processi che hanno portato alla formazione del ghiacciaio del Tagliamento all'LGM non sono ancora del tutto chiari, ma sono probabilmente ascrivibili alla riduzione della fusione del manto nevoso e dell'evaporazione legate a temperature più basse e a cambiamenti nella circolazione atmosferica.
La bassa quota e il bacino di accumulo relativamente piccolo fanno del ghiacciaio del Tagliamento un caso studio ideale per l'applicazione di un modello climatico regionale ad alta risoluzione.
Questo studio combina un modello climatico regionale ad alta risoluzione con ricostruzioni ambientali basate su proxy paleoclimatici di topografia, vegetazione e ghiacciai per l'LGM. Obiettivo primario di questo studio è analizzare la circolazione atmosferica che ha portato allo sviluppo del ghiacciaio del Tagliamento all'LGM. Questo lavoro è basato su un nesting multiplo. Il modello climatico regionale RegCM4, sviluppato dall'ICTP, è stato forzato prima dal modello climatico globale del Max Planck Institute for Meteorology (ECHAM) e poi dallo stesso RegCM4 con una risoluzione di 50 km. Le simulazioni finali hanno fornito informazioni quantitative sul clima dell'LGM e del preindustriale per le regioni alpina e appenninica con una risoluzione di 12 km. Al fine di validare il modello, è stata eseguita una simulazione, forzata con i dati di rianalisi di ERA-Interim che è stata confrontata poi con dataset grigliati di misure dirette di precipitazione e temperatura. Il sistema RegCM4 è stato adattato per simulare il clima della regione alpina. Per le simulazioni all'LGM, i parametri orbitali e le concentrazioni di gas serra sono stati fissati ai valori dell'LGM.
I risultati di questo studio evidenziano che RegCM4 a 12 km di risoluzione è in grado di rappresentare la variabilità spazio-temporale della circolazione atmosferica che hanno portato allo sviluppo dei principali ghiacciai delle Alpi sudorientali, degli Appennini e dei Balcani all'LGM. I risultati sono compatibili con proxy ambientali e ricostruzioni da modelli. I risultati di RegCM4 per l'LGM, mostrano temperature 6,6°C più fredde rispetto al periodo preindustriale e condizioni generalmente più secche. La regione a sud delle Alpi era relativamente più umida rispetto alla regione a nord. Precipitazioni stratiformi e convettive hanno contribuito ad alimentare il ghiacciaio del Tagliamento, con predominanza di fenomeni convettivi dalla tarda primavera all'inizio dell'autunno. Durante il resto dell'anno prevalevano precipitazioni stratiformi provenienti dai quadranti meridionali e occidentali, causate da una circolazione ciclonica. Nelle Alpi sud orientali le precipitazioni estive spesso avvenivano sotto forma di nevicate, limitando la fusione dei ghiacciai. Le Alpi sudorientali ricevevano una maggiore quantità di precipitazioni (sia liquide che solide) rispetto al resto della catena alpina. Questo fatto ha favorito lo sviluppo di un ghiacciaio così grande in un bacino esposto a sud e a bassa quota.
Questo progetto rappresenta un passo avanti nel contesto degli studi paleoclimatici, aggiungendo nuove informazioni quantitative ad alta risoluzione sulla circolazione atmosferica all'LGM e aprendo la strada a diversi sviluppi futuri.The 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.
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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.
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Das, Sushant. "Dynamical impacts of aerosols on Indian summer monsoon circulation using regional climate model." Thesis, 2017. http://localhost:8080/xmlui/handle/12345678/7320.
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Bartík, 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.
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The subject of this diploma thesis is study of the impacts of different implementations of turbulence and convection in the Regional Climate Model (RegCM, version 4.6) on the ability to predict the chemical pollution of the troposphere in Europe, which was simulated by the chemical transport model CAMx (Comprehensive Air quality Model with extensions, version 6.50) driven by RegCM meteorology using offline coupling of theese two models. Thesis also includes a brief description of the tropospheric chemistry, a discussion of the influence of meteorological conditions on changes in pollutant concentrations in the troposphere, a brief introduction to the regional climate modeling, a description of both models and method of their coupling. The main focus of the thesis is the analysis of the impacts of different parameterizations in RegCM model simulations on some climatic elements, validation of air temperature and precipitation, analysis of the impacts of changes in driving meteorology on ozone, nitrogen dioxide, sulfur dioxide and fine aerosol, validation of model concentrations of these pollutants with measurements at rural monitoring stations and comparison of column concentrations of nitrogen dioxide with satellite measurements.
Book chapters on the topic "RegCM4.1"
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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.
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Velikou, 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.
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Ivanov, 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.
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Tsikerdekis, 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.
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Ivanov, 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.
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Ivanov, 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.
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Kalmár, 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.
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Kalmár, 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.
Full textConference papers on the topic "RegCM4.1"
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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.
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Makushev, 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.
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Su, 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.
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Anwar, 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.
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Chung, 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.
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Ali, 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.
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Mostafa, 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.
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Valcheva, 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.
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The aim of this study is to present preliminary results of testing the new non-hydrostatic dynamic core of the regional climate model RegCM4.7.1 by varying different parametrization schemes over the Balkan Peninsula and Bulgaria. A one-way double nesting technique was applied, employing a mother domain with 15 km grid spacing and a nested domain with 3 km grid spacing. Twenty test simulations were performed with a model resolution of 15 km for the year 2000 on a Lambert Conformal Conic projection and 12 test simulations with a model resolution of 3 km for one monthJanuary 2000. Two planetary boundary layer schemes (UW PBL and Holtslag), four cumulus schemes (Emanuel, Grell, Tiedke and Kain-Fritsch), three explicit moisture schemes (Nogherotto-Tompkins, WSM5 and SUBEX) and two shallow convection configurations (MM5 and Tiedke) were tested. We used ERA-Interim reanalysis as boundary conditions for the 15 km runs with 0.75-degree horizontal resolution. The results are presented for several model output parameters (precipitation, temperature, surface pressure and cloud fraction cover). The output is compared with E-OBS observational dataset, satellite-based observations and ERA-Interim reanalysis. Based on the results, the model is sensitive to the choice of different parametrization schemes. The 15 km simulations overestimate the precipitation and underestimate the temperature in all scheme configurations. The biggest biases in precipitation and surface pressure we found in simulations with combinations with Nogherotto-Tompkins moisture scheme. In the case of 3 km simulations, UW PBL scheme with WSM5 moisture configurations and Nogherotto-Tompkins configurations gave the largest biases for the studied territory.
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CAIAN, 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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The study aims to analyze and compare the mean sea level pressure field to show the changes in the breeze regime in the coastal area of Romania in the current climate and the one projected in climate scenarios. The mechanism and variability of the breeze cell (intensity, location, frequency, persistence) are analyzed and compared for extreme conditions of warmest summers (July) during the two climatic intervals: 1971- 2000 respectively for the RCP4.5 2021-2050 scenario. The high-resolution climate is simulated using the RegCMv4.5 regional climate model at 5 km resolution, coupled with the global EC-Earth model. These dynamical downscaling methods were performed for the first time for Romania in ANM (Meteo Romania) during the AZURE-Microsoft project (2018), aiming to refine the scale of the global climate scenarios to allow process analysis. The mechanism of changes is analyzed with the interaction between regional-scale conditions and large-scale dynamic factors. The results indicate changes in the frequency of intense events and the spatial development of the breeze cell, with a time-mean intensification of both sea and land breezes and, a greater spatial advance in the area mainly during the day. Large scale-dynamics changes in interaction with the breeze circulation lead to an anticyclonic rotation under a warmer climate of the coupled circulation that induces a shift to the South-West of the cell, with a possible impact on the location of the associated precipitation. Regarding timing, a time-delay in the sea breeze occurrence (smaller pressure gradients persist longer due to warmer sea surface temperature), together with enhanced cell intensity, later on, makes the event appear as a more abrupt or extreme one. The results of the study provide potentially important input for further analysis of projected impacts of the breeze circulation on the regional climate.