'Convective' diaporamas de présentation

Lecture 7 Evolution of Massive Stars on the Main Sequence and During Helium Burning - Basics

Lecture 7 Evolution of Massive Stars on the Main Sequence and During Helium Burning - Basics. Key Physics and Issues. Evolution in HR diagram Nucleosynthesis Surface abundances Presupernova structure Supernova properties Remnant properties Rotation and B-field of pulsars.

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Mesoscale Convective Systems: Recent Observational and Diagnostic Studies Robert Houze

Mesoscale Convective Systems: Recent Observational and Diagnostic Studies Robert Houze Department of Atmospheric Sciences University of Washington. 10 th Conf. on Mesoscale Meteorology, Portland, OR, June 23-27 2003. DEFINITION Mesoscale Convective System (MCS)

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Chun Zhao Advisor: Yuhang Wang

Modeling the impacts of convective transport and lightning NOx production over North America: Dependence on cumulus parameterizations. Chun Zhao Advisor: Yuhang Wang. Introduction.

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Global Variability of Intense Convection

Global Variability of Intense Convection. Robert A. Houze, Jr. University of Washington. ISSCP at 30, New York, 22 April 2013. Radars in Space. CloudSat 2006-. TRMM 1997-. Epic Floods in Pakistan 2010, 2011, 2012. TRMM data showing storms producing the floods. 2010. 2011. 2012. 30N.

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relevant & demanding test for GCMs

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How will precipitation change under global warming?

How will precipitation change under global warming?. Chia Chou Research Center for Environmental Changes Academia Sinica September 22, 2009 NCU. Figure 3.6. IPCC AR4. IPCC AR4. Figure 3.12. IPCC AR4. IPCC AR4. M : mass flux; q : PBL water vapor. ?.

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MJO Insights from the S-PolKa radar in DYNAMO

MJO Insights from the S-PolKa radar in DYNAMO. Robert A. Houze, Jr. H. C. Barnes, S. W. Powell, A. K. Rowe, M . Zuluaga University of Washington. Symposium on Progress of MJO Research Through Field Campaigns, Sapporo, Japan, 23-25 July 2014. Before DYNAMO. Active. Suppressed.

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Precipitation

Precipitation. Types Convective Cyclonic Orographic Important for Real Time Input and Forecasting. Convective.

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Recent Application of Machine Learning Techniques to Environmental Science at PNNL

Recent Application of Machine Learning Techniques to Environmental Science at PNNL. A Machine Learning Assisted Cloud Parameterization. Predicting Hurricane Intensification using Deep Neural Networks Analyze and Reconstruct Radar Data.

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Outline

Convective (and Lightning) Nowcast Products: SATellite Convection AnalySis and Tracking (SATCAST) System John R. Mecikalski 1 (Assistant Professor) Kristopher M. Bedka 2 Todd A. Berendes 1 Simon J. Paech 1 and Laci Gambill 1 1 Atmospheric Science Department

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Non-adiabatic non-radial models for ? Scuti and ? Dor stars

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An evaluation and comparison of microphysics fields in Dennis (2005) at various lifecycle stages

An evaluation and comparison of microphysics fields in Dennis (2005) at various lifecycle stages. Eric Meyers Atlantic Oceanographic and Meteorological Laboratory Hurricane Research Division Millersville University Eric.C.Meyers@noaa.gov Dr. Robert Rogers 01 August 2006. OUTLINE.

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Existing Ideas on Upscale Effects of Clouds in TC Genesis

Convection in the Genesis Phase of Ophelia (2005) Wen-Chau Lee* Michael Bell* Robert Houze # *NCAR/EOL # University of Washington AMS 28th Conf. on Hurricanes & Tropical Meteorology Orlando, Florida - 29 April 2007. Existing Ideas on Upscale Effects of Clouds in TC Genesis.

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A Cloud Resolving Modeling Study of Tropical Convective and Stratiform Clouds

A Cloud Resolving Modeling Study of Tropical Convective and Stratiform Clouds. C.-H. Sui and Xiaofan Li. Introduction.

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Analysis of convective indices over the northeastern Adriatic

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Solution 1

Solution 1. Date of assignment: 18 January 2006 Date of solution: 20 January 2006 E-course on Seismic Design of Tanks. Part II: True / False. Identify the following statements as True or False 1.1)Hydrodynamic pressure varies linearly with liquid height. False

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US intrsumentation S-Pol-Ka and DOWs

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Result:

Which cloud-resolving model results are robust to basic changes in microphysics and dynamics schemes to guide climate model parameterization development?.

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( a )

Results. Conclusions. The incorporation of textural cloud parameters increased the performance in the discrimination between convective and stratiform rain clouds. PCR2 outperforms the other three algorithms when verifying against the dependent dataset

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