Clouds and Convection
|
|
|
- Daniel Oliver
- 8 years ago
- Views:
Transcription
1 Max-Planck-Institut Clouds and Convection Cathy Hohenegger, Axel Seifert, Bjorn Stevens, Verena Grützun, Thijs Heus, Linda Schlemmer, Malte Rieck
2 Max-Planck-Institut Shallow convection Deep convection 2
3 Why do we care of convective clouds? è Weather 3
4 Why do we care of convective clouds? è Weather è Damaging effects Hamburg main railway station,
5 Why do we care of convective clouds? è Weather è Damaging effects è Abundant (S. Warren) 5
6 Why do we care of convective clouds? è Weather è Damaging effects è Abundant 35% (S. Warren) 6
7 Why do we care of convective clouds? è Weather è Damaging effects è Abundant è Key player in water and energy cycles: è modify radiation è transport heat, moisture and momentum è produce precipitation 7
8 But convection is hard to simulate Accumulated precipitation, 1 May Sept (Axel Seifert) 8
9 But convection is hard to simulate Mean diurnal cycle, 28 June-14 July 2010 (Axel Seifert) 9
10 Issue 1: Clouds can be very small g/kg Cloud liquid water content 12 Local Time, 3 km height 10
11 Issue 1: Clouds can be very small g/kg Cloud liquid water content 12 Local Time, 3 km height Skamarock (2004) true resolution = 7Δx 11
12 Issue 1: Clouds can be very small Brute-force solution: increasing the horizontal resolution è Bryan et al : deep convection, 100 m è Craig and Dörnbrack 2008 : buoyant thermal, O(10 m) è Matheou et al : shallow convection, 20 m 2 Δx~10 m, Germany area: km, 3.6 billion points only in the horizontal. Still need some form of parameterization 12
13 Max-Planck-Institut Issue 2: Clouds are complex Pictures taken by Louise Nuijens 13
14 Issue 2: Clouds are complex è Because of large-scale forcing? è Pure luck? è Because of previous clouds? è Because of the land surface? 14
15 Scientific Goal Improve our understanding and modeling ability of shallow to deep convective clouds 15
16 Scientific Goal Improve our understanding and modeling ability of shallow to deep convective clouds è better understand the processes controlling the cloud size distribution, especially the role of local effects such as surface condition, inhomogeneities in the boundary layer, versus the large-scale flow è express the properties of individual clouds in form of joint probability density functions to formulate a spectral scale-adaptive convection scheme 16
17 Our main tool: large-eddy simulation (LES) è Solve the basic equations describing atmospheric motion è Resolution O(10-100m) in the horizontal, explicit convection è Domain size 20 km x 20 km x 20 km è Allow to document and investigate the cloud properties, life cycle and interactions with the environment è More detailed information than observations è Well-established and successful (GCSS) 17
18 Our main tool: large-eddy simulation (LES) (Malte Rieck) 18
19 Our main tool: large-eddy simulation (LES) (Dylan Dussel) 19
20 Our main tool: large-eddy simulation (LES) (Dylan Dussel) 20
21 Our main tool: large-eddy simulation (LES) (Dylan Dussel) 21
22 Our main tool: large-eddy simulation (LES) (Dylan Dussel) 22
23 Our main tool: large-eddy simulation (LES) (Dylan Dussel) 23
24 Our main tool: large-eddy simulation (LES) (Dylan Dussel) 24
25 Method Forecast bias Idealisation Large-eddy simulations OBS Process analysis: tracking Understanding Parameterization development Single column model and/or full model 25
26 Still difficulties in simulating convection, even with convection-permitting models Hans Ertel research group on clouds and convection 26
The formation of wider and deeper clouds through cold-pool dynamics
The formation of wider and deeper clouds through cold-pool dynamics Linda Schlemmer, Cathy Hohenegger e for Meteorology, Hamburg 2013-09-03 Bergen COST Meeting Linda Schlemmer 1 / 27 1 Motivation 2 Simulations
Evalua&ng Downdra/ Parameteriza&ons with High Resolu&on CRM Data
Evalua&ng Downdra/ Parameteriza&ons with High Resolu&on CRM Data Kate Thayer-Calder and Dave Randall Colorado State University October 24, 2012 NOAA's 37th Climate Diagnostics and Prediction Workshop Convective
STRATEGY & Parametrized Convection
for WP4.1.3 // meeting, 22 Sept 2005 morning, Francoise Guichard some inferences from the EUROCS project EUROCS: european project on cloud systems in NWP/climate models European Component of GCSS (GEWEX
A new positive cloud feedback?
A new positive cloud feedback? Bjorn Stevens Max-Planck-Institut für Meteorologie KlimaCampus, Hamburg (Based on joint work with Louise Nuijens and Malte Rieck) Slide 1/31 Prehistory [W]ater vapor, confessedly
Research Objective 4: Develop improved parameterizations of boundary-layer clouds and turbulence for use in MMFs and GCRMs
Research Objective 4: Develop improved parameterizations of boundary-layer clouds and turbulence for use in MMFs and GCRMs Steve Krueger and Chin-Hoh Moeng CMMAP Site Review 31 May 2007 Scales of Atmospheric
Large Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux
Large Eddy Simulation (LES) & Cloud Resolving Model (CRM) Françoise Guichard and Fleur Couvreux Cloud-resolving modelling : perspectives Improvement of models, new ways of using them, renewed views And
An economical scale-aware parameterization for representing subgrid-scale clouds and turbulence in cloud-resolving models and global models
An economical scale-aware parameterization for representing subgrid-scale clouds and turbulence in cloud-resolving models and global models Steven Krueger1 and Peter Bogenschutz2 1University of Utah, 2National
Dutch Atmospheric Large-Eddy Simulation Model (DALES v3.2) CGILS-S11 results
Dutch Atmospheric Large-Eddy Simulation Model (DALES v3.2) CGILS-S11 results Stephan de Roode Delft University of Technology (TUD), Delft, Netherlands Mixed-layer model analysis: Melchior van Wessem (student,
Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models
Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models S. A. Klein National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics
GCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency
GCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency In Sik Kang Seoul National University Young Min Yang (UH) and Wei Kuo Tao (GSFC) Content 1. Conventional
The horizontal diffusion issue in CRM simulations of moist convection
The horizontal diffusion issue in CRM simulations of moist convection Wolfgang Langhans Institute for Atmospheric and Climate Science, ETH Zurich June 9, 2009 Wolfgang Langhans Group retreat/bergell June
Improving Representation of Turbulence and Clouds In Coarse-Grid CRMs
Improving Representation of Turbulence and Clouds In CoarseGrid CRMs Peter A. Bogenschutz and Steven K. Krueger University of Utah, Salt Lake City, UT Motivation Embedded CRMs in MMF typically have horizontal
Unified Cloud and Mixing Parameterizations of the Marine Boundary Layer: EDMF and PDF-based cloud approaches
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Unified Cloud and Mixing Parameterizations of the Marine Boundary Layer: EDMF and PDF-based cloud approaches Joao Teixeira
A Review on the Uses of Cloud-(System-)Resolving Models
A Review on the Uses of Cloud-(System-)Resolving Models Jeffrey D. Duda Since their advent into the meteorological modeling world, cloud-(system)-resolving models (CRMs or CSRMs) have become very important
How To Model An Ac Cloud
Development of an Elevated Mixed Layer Model for Parameterizing Altocumulus Cloud Layers S. Liu and S. K. Krueger Department of Meteorology University of Utah, Salt Lake City, Utah Introduction Altocumulus
Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations
Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations S. C. Xie, R. T. Cederwall, and J. J. Yio Lawrence Livermore National Laboratory Livermore, California M. H. Zhang
Evaluation of clouds in GCMs using ARM-data: A time-step approach
Evaluation of clouds in GCMs using ARM-data: A time-step approach K. Van Weverberg 1, C. Morcrette 1, H.-Y. Ma 2, S. Klein 2, M. Ahlgrimm 3, R. Forbes 3 and J. Petch 1 MACCBET Symposium, Royal Meteorological
Long-term Observations of the Convective Boundary Layer (CBL) and Shallow cumulus Clouds using Cloud Radar at the SGP ARM Climate Research Facility
Long-term Observations of the Convective Boundary Layer (CBL) and Shallow cumulus Clouds using Cloud Radar at the SGP ARM Climate Research Facility Arunchandra S. Chandra Pavlos Kollias Department of Atmospheric
Description of zero-buoyancy entraining plume model
Influence of entrainment on the thermal stratification in simulations of radiative-convective equilibrium Supplementary information Martin S. Singh & Paul A. O Gorman S1 CRM simulations Here we give more
Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models Yefim L. Kogan Cooperative Institute
The influence of radiation on cloud-surface feedback mechanisms using Large Eddy Simulation
The influence of radiation on cloud-surface feedback mechanisms using Large Eddy Simulation Natalie Theeuwes Supervisor: Thijs Heus Max Planck Institute for Meteorology, Hamburg, Germany August 2010 Abstract
Atmospheric kinetic energy spectra from high-resolution GEM models
Atmospheric kinetic energy spectra from high-resolution GEM models Bertrand Denis NWP Section Canadian Meteorological Centre Environment Canada SRNWP 2009 Bad Orb, Germany Outline Introduction What we
Impact of microphysics on cloud-system resolving model simulations of deep convection and SpCAM
Impact of microphysics on cloud-system resolving model simulations of deep convection and SpCAM Hugh Morrison and Wojciech Grabowski NCAR* (MMM Division, NESL) Marat Khairoutdinov Stony Brook University
Stability and Cloud Development. Stability in the atmosphere AT350. Why did this cloud form, whereas the sky was clear 4 hours ago?
Stability and Cloud Development AT350 Why did this cloud form, whereas the sky was clear 4 hours ago? Stability in the atmosphere An Initial Perturbation Stable Unstable Neutral If an air parcel is displaced
Various Implementations of a Statistical Cloud Scheme in COSMO model
2 Working Group on Physical Aspects 61 Various Implementations of a Statistical Cloud Scheme in COSMO model Euripides Avgoustoglou Hellenic National Meteorological Service, El. Venizelou 14, Hellinikon,
Cloud-Resolving Simulations of Convection during DYNAMO
Cloud-Resolving Simulations of Convection during DYNAMO Matthew A. Janiga and Chidong Zhang University of Miami, RSMAS 2013 Fall ASR Workshop Outline Overview of observations. Methodology. Simulation results.
Turbulence-microphysics interactions in boundary layer clouds
Turbulence-microphysics interactions in boundary layer clouds Wojciech W. Grabowski 1 with contributions from D. Jarecka 2, H. Morrison 1, H. Pawlowska 2, J.Slawinska 3, L.-P. Wang 4 A. A. Wyszogrodzki
Limitations of Equilibrium Or: What if τ LS τ adj?
Limitations of Equilibrium Or: What if τ LS τ adj? Bob Plant, Laura Davies Department of Meteorology, University of Reading, UK With thanks to: Steve Derbyshire, Alan Grant, Steve Woolnough and Jeff Chagnon
CAUSES. (Clouds Above the United States and Errors at the Surface)
CAUSES (Clouds Above the United States and Errors at the Surface) Cloud-regime analysis to find the causes of surface temperature errors in weather and climate models Cyril Morcrette and Kwinten Van Weverberg
1D shallow convective case studies and comparisons with LES
1D shallow convective case studies and comparisons with CNRM/GMME/Méso-NH 24 novembre 2005 1 / 17 Contents 1 5h-6h time average vertical profils 2 2 / 17 Case description 5h-6h time average vertical profils
Why aren t climate models getting better? Bjorn Stevens, UCLA
Why aren t climate models getting better? Bjorn Stevens, UCLA Four Hypotheses 1. Our premise is false, models are getting better. 2. We don t know what better means. 3. It is difficult, models have rough
MOGREPS status and activities
MOGREPS status and activities by Warren Tennant with contributions from Rob Neal, Sarah Beare, Neill Bowler & Richard Swinbank Crown copyright Met Office 32 nd EWGLAM and 17 th SRNWP meetings 1 Contents
Highly Scalable Dynamic Load Balancing in the Atmospheric Modeling System COSMO-SPECS+FD4
Center for Information Services and High Performance Computing (ZIH) Highly Scalable Dynamic Load Balancing in the Atmospheric Modeling System COSMO-SPECS+FD4 PARA 2010, June 9, Reykjavík, Iceland Matthias
Sub-grid cloud parametrization issues in Met Office Unified Model
Sub-grid cloud parametrization issues in Met Office Unified Model Cyril Morcrette Workshop on Parametrization of clouds and precipitation across model resolutions, ECMWF, Reading, November 2012 Table of
The ARM-GCSS Intercomparison Study of Single-Column Models and Cloud System Models
The ARM-GCSS Intercomparison Study of Single-Column Models and Cloud System Models R. T. Cederwall and D. J. Rodriguez Atmospheric Science Division Lawrence Livermore National Laboratory Livermore, California
Towards an NWP-testbed
Towards an NWP-testbed Ewan O Connor and Robin Hogan University of Reading, UK Overview Cloud schemes in NWP models are basically the same as in climate models, but easier to evaluate using ARM because:
RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE. Peter J. Lamb. Cooperative Institute for Mesoscale Meteorological Studies
RADIATION IN THE TROPICAL ATMOSPHERE and the SAHEL SURFACE HEAT BALANCE by Peter J. Lamb Cooperative Institute for Mesoscale Meteorological Studies and School of Meteorology The University of Oklahoma
Guy Carpenter Asia-Pacific Climate Impact Centre, School of energy and Environment, City University of Hong Kong
Diurnal and Semi-diurnal Variations of Rainfall in Southeast China Judy Huang and Johnny Chan Guy Carpenter Asia-Pacific Climate Impact Centre School of Energy and Environment City University of Hong Kong
Sensitivity studies of developing convection in a cloud-resolving model
Q. J. R. Meteorol. Soc. (26), 32, pp. 345 358 doi:.256/qj.5.7 Sensitivity studies of developing convection in a cloud-resolving model By J. C. PETCH Atmospheric Processes and Parametrizations, Met Office,
Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP
Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP X. Wu Department of Geological and Atmospheric Sciences Iowa State University Ames, Iowa X.-Z.
Frank and Charles Cohen Department of Meteorology The Pennsylvania State University University Park, PA, 16801 -U.S.A.
376 THE SIMULATION OF TROPICAL CONVECTIVE SYSTEMS William M. Frank and Charles Cohen Department of Meteorology The Pennsylvania State University University Park, PA, 16801 -U.S.A. ABSTRACT IN NUMERICAL
Titelmasterformat durch Klicken. bearbeiten
Evaluation of a Fully Coupled Atmospheric Hydrological Modeling System for the Sissili Watershed in the West African Sudanian Savannah Titelmasterformat durch Klicken June, 11, 2014 1 st European Fully
What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper
What the Heck are Low-Cloud Feedbacks? Takanobu Yamaguchi Rachel R. McCrary Anna B. Harper IPCC Cloud feedbacks remain the largest source of uncertainty. Roadmap 1. Low cloud primer 2. Radiation and low
CFD Based Air Flow and Contamination Modeling of Subway Stations
CFD Based Air Flow and Contamination Modeling of Subway Stations Greg Byrne Center for Nonlinear Science, Georgia Institute of Technology Fernando Camelli Center for Computational Fluid Dynamics, George
Temperature. PJ Brucat
PJ Brucat Temperature - the measure of average kinetic energy (KE) of a gas, liquid, or solid. KE is energy of motion. KE = ½ mv 2 where m=mass and v=velocity (speed) 1 All molecules have KE whether solid,
How To Write A New Vertical Diffusion Package
2318 M O N T H L Y W E A T H E R R E V I E W VOLUME 134 A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes SONG-YOU HONG AND YIGN NOH Department of Atmospheric Sciences,
Seasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity
Seasonal & Daily Temperatures Seasons & Sun's Distance The role of Earth's tilt, revolution, & rotation in causing spatial, seasonal, & daily temperature variations Please read Chapter 3 in Ahrens Figure
Diurnal Cycle of Convection at the ARM SGP Site: Role of Large-Scale Forcing, Surface Fluxes, and Convective Inhibition
Thirteenth ARM Science Team Meeting Proceedings, Broomfield, Colorado, March 31-April 4, 23 Diurnal Cycle of Convection at the ARM SGP Site: Role of Large-Scale Forcing, Surface Fluxes, and Convective
Chapter 6 - Cloud Development and Forms. Interesting Cloud
Chapter 6 - Cloud Development and Forms Understanding Weather and Climate Aguado and Burt Interesting Cloud 1 Mechanisms that Lift Air Orographic lifting Frontal Lifting Convergence Localized convective
Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model
Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model H. Guo, J. E. Penner, M. Herzog, and X. Liu Department of Atmospheric,
Including thermal effects in CFD simulations
Including thermal effects in CFD simulations Catherine Meissner, Arne Reidar Gravdahl, Birthe Steensen catherine@windsim.com, arne@windsim.com Fjordgaten 15, N-125 Tonsberg hone: +47 8 1800 Norway Fax:
Interactive Simulation and Visualization of Atmospheric Large-Eddy Simulations
Interactive Simulation and Visualization of Atmospheric Large-Eddy Simulations E. J. Griffith 1, F. H. Post 1, T. Heus 2, H.J.J. Jonker 2 Technical Report VIS 2009-02 1 Data Visualization Group, Delft
Project Title: Quantifying Uncertainties of High-Resolution WRF Modeling on Downslope Wind Forecasts in the Las Vegas Valley
University: Florida Institute of Technology Name of University Researcher Preparing Report: Sen Chiao NWS Office: Las Vegas Name of NWS Researcher Preparing Report: Stanley Czyzyk Type of Project (Partners
Evaluation of precipitation simulated over mid-latitude land by CPTEC AGCM single-column model
Evaluation of precipitation simulated over mid-latitude land by CPTEC AGCM single-column model Enver Ramírez Gutiérrez 1, Silvio Nilo Figueroa 2, Paulo Kubota 2 1 CCST, 2 CPTEC INPE Cachoeira Paulista,
IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS
IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS M. J. Mueller, R. W. Pasken, W. Dannevik, T. P. Eichler Saint Louis University Department of Earth and
Application of Numerical Weather Prediction Models for Drought Monitoring. Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia
Application of Numerical Weather Prediction Models for Drought Monitoring Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia Contents 1. Introduction 2. Numerical Weather Prediction Models -
How To Model The Weather
Convection Resolving Model (CRM) MOLOCH 1-Breve descrizione del CRM sviluppato all ISAC-CNR 2-Ipotesi alla base della parametrizzazione dei processi microfisici Objectives Develop a tool for very high
Section 1 The Earth System
Section 1 The Earth System Key Concept Earth is a complex system made up of many smaller systems through which matter and energy are continuously cycled. What You Will Learn Energy and matter flow through
Continental and Marine Low-level Cloud Processes and Properties (ARM SGP and AZORES) Xiquan Dong University of North Dakota
Continental and Marine Low-level Cloud Processes and Properties (ARM SGP and AZORES) Xiquan Dong University of North Dakota Outline 1) Statistical results from SGP and AZORES 2) Challenge and Difficult
Towards Multiscale Simulations of Cloud Turbulence
Towards Multiscale Simulations of Cloud Turbulence Ryo Onishi *1,2 and Keiko Takahashi *1 *1 Earth Simulator Center/JAMSTEC *2 visiting scientist at Imperial College, London (Prof. Christos Vassilicos)
Climate Models: Uncertainties due to Clouds. Joel Norris Assistant Professor of Climate and Atmospheric Sciences Scripps Institution of Oceanography
Climate Models: Uncertainties due to Clouds Joel Norris Assistant Professor of Climate and Atmospheric Sciences Scripps Institution of Oceanography Global mean radiative forcing of the climate system for
Frost Damage of Roof Tiles in Relatively Warm Areas in Japan
Frost Damage of Roof Tiles in Relatively Warm Areas in Japan Influence of Surface Finish on Water Penetration Chiemi IBA Hokkaido Research Organization, Japan Shuichi HOKOI Kyoto University, Japan INTRODUCTION
Trimodal cloudiness and tropical stable layers in simulations of radiative convective equilibrium
GEOPHYSICAL RESEARCH LETTERS, VOL. 35, L08802, doi:10.1029/2007gl033029, 2008 Trimodal cloudiness and tropical stable layers in simulations of radiative convective equilibrium D. J. Posselt, 1 S. C. van
Solar Energy Forecasting Using Numerical Weather Prediction (NWP) Models. Patrick Mathiesen, Sanyo Fellow, UCSD Jan Kleissl, UCSD
Solar Energy Forecasting Using Numerical Weather Prediction (NWP) Models Patrick Mathiesen, Sanyo Fellow, UCSD Jan Kleissl, UCSD Solar Radiation Reaching the Surface Incoming solar radiation can be reflected,
Stochastic variability of mass flux in a cloud resolving simulation
Stochastic variability of mass flux in a cloud resolving simulation Jahanshah Davoudi Thomas Birner, orm McFarlane and Ted Shepherd Physics department, University of Toronto Stochastic variability of mass
Mass flux fluctuation in a cloud resolving simulation with diurnal forcing
Mass flux fluctuation in a cloud resolving simulation with diurnal forcing Jahanshah Davoudi Norman McFarlane, Thomas Birner Physics department, University of Toronto Mass flux fluctuation in a cloud resolving
Potential Climate Impact of Large-Scale Deployment of Renewable Energy Technologies. Chien Wang (MIT)
Potential Climate Impact of Large-Scale Deployment of Renewable Energy Technologies Chien Wang (MIT) 1. A large-scale installation of windmills Desired Energy Output: supply 10% of the estimated world
Evolution of convective cloud top height: entrainment and humidifying processes. EUROCS Workshop, Madrid, 16-19/12/2002
Jean-Marcel Piriou Centre National de Recherches Météorologiques Groupe de Modélisation pour l Assimilation et la Prévision Evolution of convective cloud top height: entrainment and humidifying processes
Wind resources map of Spain at mesoscale. Methodology and validation
Wind resources map of Spain at mesoscale. Methodology and validation Martín Gastón Edurne Pascal Laura Frías Ignacio Martí Uxue Irigoyen Elena Cantero Sergio Lozano Yolanda Loureiro e-mail:mgaston@cener.com
The effects of organization on convective and large-scale interactions using cloud resolving simulations with parameterized large-scale dynamics
The effects of organization on convective and large-scale interactions using cloud resolving simulations with parameterized large-scale dynamics Emily M. Riley, Brian Mapes, Stefan Tulich, Zhiming Kuang
Can latent heat release have a negative effect on polar low intensity?
Can latent heat release have a negative effect on polar low intensity? Ivan Føre, Jon Egill Kristjansson, Erik W. Kolstad, Thomas J. Bracegirdle and Øyvind Sætra Polar lows: are intense mesoscale cyclones
Atmospheric Processes
Atmospheric Processes Steven Sherwood Climate Change Research Centre, UNSW Yann Arthus-Bertrand / Altitude Where do atmospheric processes come into AR5 WGI? 1. The main feedbacks that control equilibrium
Chapter 7 Stability and Cloud Development. Atmospheric Stability
Chapter 7 Stability and Cloud Development Atmospheric Stability 1 Cloud Development - stable environment Stable air (parcel) - vertical motion is inhibited if clouds form, they will be shallow, layered
cloud Impacts on Off-Line AQs
Improving Cloud Impacts on Photolysis Rates in Off-Line AQMs Chris Emery ENVIRON Corporation June 24, 2009 Acknowledgements: K. Baker, B. Timin, EPA/OAQPS Introduction Photochemistry is strongly influenced
CHARACTERISTICS OF CLOUDS AND THE NEAR CLOUD ENVIRONMENT IN A SIMULATION OF TROPICAL CONVECTION
CHARACTERISTICS OF CLOUDS AND THE NEAR CLOUD ENVIRONMENT IN A SIMULATION OF TROPICAL CONVECTION by Ian Bruce Glenn A thesis submitted to the faculty of The University of Utah in partial fulfillment of
MICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION
MICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION Blake J. Allen National Weather Center Research Experience For Undergraduates, Norman, Oklahoma and Pittsburg State University, Pittsburg,
The Ideal Gas Law. Gas Constant. Applications of the Gas law. P = ρ R T. Lecture 2: Atmospheric Thermodynamics
Lecture 2: Atmospheric Thermodynamics Ideal Gas Law (Equation of State) Hydrostatic Balance Heat and Temperature Conduction, Convection, Radiation Latent Heating Adiabatic Process Lapse Rate and Stability
Quality Assurance in Atmospheric Modeling
Quality Assurance in Atmospheric Modeling To Appear in the Bulletin of the American Meteorological Society Thomas T. Warner An Explosion in Mesoscale Model Usage Rapid Increase in Model Users Due to: Easy
Boundary-Layer Cloud Feedbacks on Climate An MMF Perspective
Boundary-Layer Cloud Feedbacks on Climate An MMF Perspective Matthew E. Wyant Peter N. Blossey Christopher S. Bretherton University of Washington Marat Khairoutdinov Minghua Zhang Stony Brook University
ASR CRM Intercomparison Study on Deep Convective Clouds and Aerosol Impacts
ASR CRM Intercomparison Study on Deep Convective Clouds and Aerosol Impacts J. FAN, B. HAN, PNNL H. MORRISON, A. VARBLE, S. COLLIS, X. DONG, S. GIANGRANDE, M. JENSEN, P. KOLLIAS, E. MANSELL, T. TOTO April
ME6130 An introduction to CFD 1-1
ME6130 An introduction to CFD 1-1 What is CFD? Computational fluid dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by solving numerically
A SURVEY OF CLOUD COVER OVER MĂGURELE, ROMANIA, USING CEILOMETER AND SATELLITE DATA
Romanian Reports in Physics, Vol. 66, No. 3, P. 812 822, 2014 ATMOSPHERE PHYSICS A SURVEY OF CLOUD COVER OVER MĂGURELE, ROMANIA, USING CEILOMETER AND SATELLITE DATA S. STEFAN, I. UNGUREANU, C. GRIGORAS
Graduate Certificate Program in Energy Conversion & Transport Offered by the Department of Mechanical and Aerospace Engineering
Graduate Certificate Program in Energy Conversion & Transport Offered by the Department of Mechanical and Aerospace Engineering Intended Audience: Main Campus Students Distance (online students) Both Purpose:
Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2)
Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) In this lecture How does turbulence affect the ensemble-mean equations of fluid motion/transport? Force balance in a quasi-steady turbulent boundary
ASSESSMENT OF THE CAPABILITY OF WRF MODEL TO ESTIMATE CLOUDS AT DIFFERENT TEMPORAL AND SPATIAL SCALES
16TH WRF USER WORKSHOP, BOULDER, JUNE 2015 ASSESSMENT OF THE CAPABILITY OF WRF MODEL TO ESTIMATE CLOUDS AT DIFFERENT TEMPORAL AND SPATIAL SCALES Clara Arbizu-Barrena, David Pozo-Vázquez, José A. Ruiz-Arias,
Improving Hydrological Predictions
Improving Hydrological Predictions Catherine Senior MOSAC, November 10th, 2011 How well do we simulate the water cycle? GPCP 10 years of Day 1 forecast Equatorial Variability on Synoptic scales (2-6 days)
Improving Mesoscale Prediction of Cloud Regime Transitions in LES and NRL COAMPS
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Improving Mesoscale Prediction of Cloud Regime Transitions in LES and NRL COAMPS David B. Mechem Atmospheric Science Program,
Assessing the performance of a prognostic and a diagnostic cloud scheme using single column model simulations of TWP ICE
Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 138: 734 754, April 2012 A Assessing the performance of a prognostic and a diagnostic cloud scheme using single column model
O.F.Wind Wind Site Assessment Simulation in complex terrain based on OpenFOAM. Darmstadt, 27.06.2012
O.F.Wind Wind Site Assessment Simulation in complex terrain based on OpenFOAM Darmstadt, 27.06.2012 Michael Ehlen IB Fischer CFD+engineering GmbH Lipowskystr. 12 81373 München Tel. 089/74118743 Fax 089/74118749
How To Understand And Understand The Physics Of Clouds And Precipitation
Deutscher Wetterdienst Research and Development Physical Parameterizations: Cloud Microphysics and Subgrid-Scale Cloudiness Axel Seifert Deutscher Wetterdienst, Offenbach Deutscher Wetterdienst Research
A limited area model (LAM) intercomparison study of a TWP-ICE active monsoon mesoscale convective event
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 117,, doi:10.1029/2011jd016447, 2012 A limited area model (LAM) intercomparison study of a TWP-ICE active monsoon mesoscale convective event Ping Zhu, 1 Jim Dudhia,
Assimilation of cloudy infrared satellite observations: The Met Office perspective
Assimilation of cloudy infrared satellite observations: The Met Office perspective Ed Pavelin, Met Office International Symposium on Data Assimilation 2014, Munich Contents This presentation covers the
Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon
Supporting Online Material for Koren et al. Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon 1. MODIS new cloud detection algorithm The operational
Very High Resolution Arctic System Reanalysis for 2000-2011
Very High Resolution Arctic System Reanalysis for 2000-2011 David H. Bromwich, Lesheng Bai,, Keith Hines, and Sheng-Hung Wang Polar Meteorology Group, Byrd Polar Research Center The Ohio State University
Nowcasting: analysis and up to 6 hours forecast
Nowcasting: analysis and up to 6 hours forecast Very high resoultion in time and space Better than NWP Rapid update Application oriented NWP problems for 0 6 forecast: Incomplete physics Resolution space
Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF
3 Working Group on Verification and Case Studies 56 Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF Bogdan Alexandru MACO, Mihaela BOGDAN, Amalia IRIZA, Cosmin Dănuţ
Group Session 1-3 Rain and Cloud Observations
Group Session 1-3 Rain and Cloud Observations Targets in Science Plans CINDY Science Plan (Apr. 2009) DYNAMO SPO (Jul. 2009) Atmospheric Research a. Preconditioning processes b. Rossby wave c. Diabatic
Fog and Cloud Development. Bows and Flows of Angel Hair
Fog and Cloud Development Bows and Flows of Angel Hair 1 Ch. 5: Condensation Achieving Saturation Evaporation Cooling of Air Adiabatic and Diabatic Processes Lapse Rates Condensation Condensation Nuclei
TOPIC: CLOUD CLASSIFICATION
INDIAN INSTITUTE OF TECHNOLOGY, DELHI DEPARTMENT OF ATMOSPHERIC SCIENCE ASL720: Satellite Meteorology and Remote Sensing TERM PAPER TOPIC: CLOUD CLASSIFICATION Group Members: Anil Kumar (2010ME10649) Mayank