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    Experimental Determination of Forecast Sensitivity and the Degradation of Forecasts through the Assimilation of Good Quality Data 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 007:;page 2253
    Author(s): Semple, Adrian; Thurlow, Michael; Milton, Sean
    Publisher: American Meteorological Society
    Abstract: he case of a small vigorous cyclone crossing the United Kingdom on 1 November 2009 is investigated. Met Office Global Model forecasts at the time displayed a marked change in solutions at a forecast range of 72 h, with ...
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    Comparing Tropical Precipitation Simulated by the Met Office NWP and Climate Models with Satellite Observations 

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 053 ):;issue: 001:;page 200
    Author(s): Liu, Chunlei; Allan, Richard P.; Brooks, Malcolm; Milton, Sean
    Publisher: American Meteorological Society
    Abstract: orecasts of precipitation and water vapor made by the Met Office global numerical weather prediction (NWP) model are evaluated using products from satellite observations by the Special Sensor Microwave Imager/Sounder (SSMIS) ...
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    Evaluating Benefits of Two-Way Ocean–Atmosphere Coupling for Global NWP Forecasts 

    Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 005:;page 2127
    Author(s): Vellinga, Michael;Copsey, Dan;Graham, Tim;Milton, Sean;Johns, Tim
    Publisher: American Meteorological Society
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    Unified Modeling and Prediction of Weather and Climate: A 25-Year Journey 

    Source: Bulletin of the American Meteorological Society:;2012:;volume( 093 ):;issue: 012:;page 1865
    Author(s): Brown, Andrew; Milton, Sean; Cullen, Mike; Golding, Brian; Mitchell, John; Shelly, Ann
    Publisher: American Meteorological Society
    Abstract: years there has been a growing appreciation of the potential advantages of using a seamless approach to weather and climate prediction. However, what exactly should this mean in practice? To help address this question, we ...
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    An Evaluation of Modeled Evaporation Regimes in Europe Using Observed Dry Spell Land Surface Temperature 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 005:;page 1453
    Author(s): Harris, Phil P.; Folwell, Sonja S.; Gallego-Elvira, Belen; Rodríguez, José; Milton, Sean; Taylor, Christopher M.
    Publisher: American Meteorological Society
    Abstract: oil moisture availability exerts control over the land surface energy partition in parts of Europe. However, determining the strength and variability of this control is impeded by the lack of reliable evaporation observations ...
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    The Benefits of Ensemble Prediction for Forecasting an Extreme Event: The Queensland Floods of February 2019 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 007:;page 2391
    Author(s): Hawcroft, Matt;Lavender, Sally;Copsey, Dan;Milton, Sean;Rodríguez, José;Tennant, Warren;Webster, Stuart;Cowan, Tim
    Publisher: American Meteorological Society
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    How Well Can a Climate Model Simulate an Extreme Precipitation Event: A Case Study Using the Transpose-AMIP Experiment 

    Source: Journal of Climate:;2018:;volume 031:;issue 016:;page 6543
    Author(s): Li, Jian; Chen, Haoming; Rong, Xinyao; Su, Jingzhi; Xin, Yufei; Furtado, Kalli; Milton, Sean; Li, Nina
    Publisher: American Meteorological Society
    Abstract: AbstractA high-impact extreme precipitation event over the Yangtze River valley (YRV) in the midsummer of 2016 is simulated using the Climate System Model of Chinese Academy of Meteorological Sciences (CAMS-CSM). After ...
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    Processes Controlling Tropical Tropopause Temperature and Stratospheric Water Vapor in Climate Models 

    Source: Journal of Climate:;2015:;volume( 028 ):;issue: 016:;page 6516
    Author(s): Hardiman, Steven C.; Boutle, Ian A.; Bushell, Andrew C.; Butchart, Neal; Cullen, Mike J. P.; Field, Paul R.; Furtado, Kalli; Manners, James C.; Milton, Sean F.; Morcrette, Cyril; O’Connor, Fiona M.; Shipway, Ben J.; Smith, Chris; Walters, David N.; Willett, Martin R.; Williams, Keith D.; Wood, Nigel; Abraham, N. Luke; Keeble, James; Maycock, Amanda C.; Thuburn, John; Woodhouse, Matthew T.
    Publisher: American Meteorological Society
    Abstract: warm bias in tropical tropopause temperature is found in the Met Office Unified Model (MetUM), in common with most models from phase 5 of CMIP (CMIP5). Key dynamical, microphysical, and radiative processes influencing the ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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