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  • Search: subject:"mesoscale model"
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Mesoscale model 10 mesoscale model 3 Tornado 2 Tropical cyclone 2 Wave energy 2 Wave power 2 intensity 2 track 2 Cloud burst 1 Cloud microphysics 1 Cumulus scheme 1 ECMWF and GFS 1 Extreme events 1 Extreme rainfall event 1 Geographycal information system (GIS) 1 Hawaii 1 Heavy rainfall 1 High resolution 1 Hurricane 1 Intensity 1 Low-level jet 1 Mesocyclone 1 Mesoscale 1 Mesoscale-model 1 Monsoon 1 Movement 1 Numerical weather prediction (NWP) 1 Ocean observing system 1 Offshore wind energy potential 1 Parameterization schemes 1 Peninsular Florida 1 Physical processes 1 Physics parameterizations 1 Planetary Boundary Layer 1 Planetary boundary layer 1 Pressure vertical velocity 1 Sea surface winds 1 Severe thunderstorm 1 Spectral wave model 1 Spectral wave models 1
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Undetermined 15
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Article 15
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Undetermined 15
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Mohanty, U. 3 Chen, Yi-Leng 2 Cheung, Kwok Fai 2 Mandal, M. 2 Raman, S. 2 Stopa, Justin E. 2 Ahasan, M. 1 Bhutiyani, M. 1 Dai, Qiang 1 Deshpande, Medha 1 Dimri, A. 1 Filipot, Jean-François 1 Fishman, Jack 1 Ganju, A. 1 Goswami, P. 1 Goud, B. 1 Gupta, Manika 1 Himesh, S. 1 Ishihara, Takeshi 1 Islam, Tanvir 1 Jeong, Ju 1 Khan, A. 1 Kim, You-Keun 1 Krishna, S. Rama 1 Kumar, M. Sravana 1 Kwun, Ji 1 Li, Ning 1 Lin, Yeong-Jer 1 Litta, A. 1 Mandal 1 Mohanty 1 Mohapatra, M. 1 Moore, James 1 Pattnaik, S. 1 Prasad, S. Kiran 1 Ramakrishna, S. 1 Rico-Ramirez, Miguel 1 Sahu, S. 1 Salvekar, P. 1 Saradhi, N. Vijaya 1
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Natural Hazards 12 Renewable Energy 3
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RePEc 15
Showing 1 - 10 of 15
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Tracking a tropical cyclone through WRF–ARW simulation and sensitivity of model physics
Islam, Tanvir; Srivastava, Prashant; Rico-Ramirez, Miguel; … - In: Natural Hazards 76 (2015) 3, pp. 1473-1495
The Weather Research and Forecasting (WRF) model’s Advanced Research WRF (ARW) dynamic solver is one of the most popular regional numerical weather prediction models being used by operational and research personnel. In this study, we simulate a tropical cyclone to reproduce the track direction...
Persistent link: https://www.econbiz.de/10011241176
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Assessment of offshore wind energy potential using mesoscale model and geographic information system
Yamaguchi, Atsushi; Ishihara, Takeshi - In: Renewable Energy 69 (2014) C, pp. 506-515
Offshore wind climate along the coast of Kanto area was investigated by a mesoscale model and wind energy potential … annual mean wind speed by the mesoscale model was 2.49%. The estimated wind climate shows that offshore Choshi, the annual …
Persistent link: https://www.econbiz.de/10011046276
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Wave energy resources along the Hawaiian Island chain
Stopa, Justin E.; Filipot, Jean-François; Li, Ning; … - In: Renewable Energy 55 (2013) C, pp. 305-321
Hawaii's access to the ocean and remoteness from fuel supplies has sparked an interest in ocean waves as a potential resource to meet the increasing demand for sustainable energy. The wave resources include swells from distant storms and year-round seas generated by trade winds passing through...
Persistent link: https://www.econbiz.de/10011043993
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Simulation of a flood producing rainfall event of 29 July 2010 over north-west Pakistan using WRF-ARW model
Ahasan, M.; Khan, A. - In: Natural Hazards 69 (2013) 1, pp. 351-363
Simulation of a flood producing rainfall event of 29 July 2010 over north-west Pakistan has been carried out using the Weather Research and Forecasting (WRF) model. This extraordinary rainfall event was localized over north-west Pakistan and recorded 274 mm of rainfall at Peshawar (34.02°N,...
Persistent link: https://www.econbiz.de/10010996204
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Simulation of high-impact tropical weather events: comparative analysis of three heavy rainfall events
Goswami, P.; Himesh, S.; Goud, B. - In: Natural Hazards 65 (2013) 3, pp. 1703-1722
Episodes of heavy rainfall, although relatively rare, significantly contribute to the hydrological cycle due to the large quantum of rainfall in a short span of time. Accurate simulation of such heavy or extreme rainfall events therefore is an important benchmark for a model. Here, we consider...
Persistent link: https://www.econbiz.de/10010996865
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Numerical simulation of cloud burst event on August 05, 2010, over Leh using WRF mesoscale model
Kumar, M. Sravana; Shekhar, M.; Krishna, S. Rama; … - In: Natural Hazards 62 (2012) 3, pp. 1261-1271
, it is necessary to predict such extreme events accurately to avoid damage associated with them. The numerical mesoscale … model Weather Research and Forecasting has been used to simulate the cloud burst event of Leh on August 05, 2010, so as to …
Persistent link: https://www.econbiz.de/10010995870
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On the role of the Planetary Boundary Layer in the numerical simulation of a severe cyclonic storm Nargis using a mesoscale model
Ramakrishna, S.; Saradhi, N. Vijaya; Srinivas, C. - In: Natural Hazards 63 (2012) 3, pp. 1471-1496
The very severe cyclonic storm Nargis of 2008 was a strong tropical cyclone that caused the deadliest natural disaster in the history of Myanmar. The time tested NCAR/PSU MM5 model has been used to simulate the Nargis cyclone, which is designed to have two domains covering the Bay of Bengal with...
Persistent link: https://www.econbiz.de/10010996522
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Simulation of tornado over Orissa (India) on March 31, 2009, using WRF–NMM model
Litta, A.; Mohanty, U.; Prasad, S. Kiran; Mohapatra, M.; … - In: Natural Hazards 61 (2012) 3, pp. 1219-1242
also made to simulate this rare event using Non-hydrostatic Mesoscale Model (NMM) core of the Weather Research and …
Persistent link: https://www.econbiz.de/10010996962
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Assessment of wave energy resources in Hawaii
Stopa, Justin E.; Cheung, Kwok Fai; Chen, Yi-Leng - In: Renewable Energy 36 (2011) 2, pp. 554-567
Hawaii is subject to direct approach of swells from distant storms as well as seas generated by trade winds passing through the islands. The archipelago creates a localized weather system that modifies the wave energy resources from the far field. We implement a nested computational grid along...
Persistent link: https://www.econbiz.de/10011046085
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Impact of physical parameterization schemes on numerical simulation of super cyclone Gonu
Deshpande, Medha; Pattnaik, S.; Salvekar, P. - In: Natural Hazards 55 (2010) 2, pp. 211-231
Pennsylvania State University-National Center for Atmospheric Research Fifth-Generation Mesoscale Model (MM5). Three sets of …
Persistent link: https://www.econbiz.de/10010846243
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