The University of Reading Helen Dacre UM user 2009 Forecasting the transport of pollution using a NWP model ETEX Surface Measurement Sites.

Slides:

Advertisements

Similar presentations

ALARO-0 at ZAMG Experiences, verification, identified problems, ….

Advertisements

TWO STEP EQUATIONS 1. SOLVE FOR X 2. DO THE ADDITION STEP FIRST

Slide 1 Insert your own content. Slide 2 Insert your own content.

1 Copyright © 2013 Elsevier Inc. All rights reserved. Chapter 116.

1 Copyright © 2013 Elsevier Inc. All rights reserved. Chapter 28.

1 Copyright © 2013 Elsevier Inc. All rights reserved. Chapter 38.

Chapter 1 Image Slides Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.

R. L. Buckley and C. H. Hunter Atmospheric Technologies Group Savannah River National Laboratory Recent Improvements to an Advanced Atmospheric Transport.

AREP GAW Section 14 – Daily Air Quality Forecast Operations 1 Overview of Course Course Content: Background –Introduction and Overview of Course –What.

JMA Takayuki MATSUMURA (Forecast Department, JMA) C Asia Air Survey co., ltd New Forecast Technologies for Disaster Prevention and Mitigation 1.

Ensemble Sensitivity Analysis Applied to Tropical Cyclones: Preliminary Results from Typhoon Nuri (2008) Rahul Mahajan & Greg Hakim University of Washington,

Introduction Irina Surface layer and surface fluxes Anton

Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13

Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13

DIVIDING INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.

MULT. INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.

The University of Reading Helen Dacre The Prediction And Observation Of Volcanic Ash Clouds During The Eyjafjallajökull Eruption Helen Dacre and Alan Grant.

What’s quasi-equilibrium all about?

The University of Reading Helen Dacre AGU Dec 2008 Boundary Layer Ventilation by Convection and Coastal Processes Helen Dacre, Sue Gray, Stephen Belcher.

Vertical distribution of ash at source Time-height plots of mass concentration at Chilbolton. The height above the summit into which ash particles are.

The University of Reading Helen Dacre AMS 2010 Air Quality Forecasting using a Numerical Weather Prediction Model ETEX Surface Measurement Sites.

© University of Reading 2007www.reading.ac.uk Sting Jets in severe Northern European Windstoms Suzanne Gray, Oscar Martinez-Alvarado, Laura Baker (Univ.

Conditional symmetric instability and the development of sting jets Oscar Martinez-Alvarado Sue Gray Laura Baker Department.

Urban Modelling 1 03/2003 © Crown copyright Urban Scale NWP with the Met Office's Unified Model Peter Clark Mesoscale Modelling Group Met Office Joint.

DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,

1 PV Generation in the Boundary Layer Robert Plant 18th February 2003 (With thanks to S. Belcher)

Moisture Transport in Baroclinic Waves Ian Boutle a, Stephen Belcher a, Bob Plant a Bob Beare b, Andy Brown c 24 April 2014.

Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft High pressure weather System over the Alps for nearly three weeks in Sept Sep UTC.

1 00/XXXX © Crown copyright Carol Roadnight, Peter Clark Met Office, JCMM Halliwell Representing convection in convective scale NWP models : An idealised.

Page 1© Crown copyright 2006SRNWP 9-12 October 2006, Zurich Variable resolution or lateral boundary conditions Terry Davies Dynamics Research Yongming.

Page 1 NAE 4DVAR Oct 2006 © Crown copyright 2006 Mark Naylor Data Assimilation, NWP NAE 4D-Var – Testing and Issues EWGLAM/SRNWP meeting Zurich 9 th -12.

METEOROLOGICAL SERVICES FOR LOW LEVEL FLIGHTS IN ROMANIA

We are learning how to read the 24 hour clock

Page 1© Crown copyright Simulation of radar reflectivities in the UK Met Office model: comparison with CloudSat Data Alejandro Bodas-Salcedo, M.E. Brooks.

Past Tense Probe. Past Tense Probe Past Tense Probe – Practice 1.

Development of Data Assimilation Systems for Short-Term Numerical Weather Prediction at JMA Tadashi Fujita (NPD JMA) Y. Honda, Y. Ikuta, J. Fukuda, Y.

Addition 1’s to 20.

25 seconds left…...

Test B, 100 Subtraction Facts

Radar Palette Home Click Dual Polarized Warm Sector 1 Ahead of WCB within the Warm Sector Click for the Conceptual Model and Explanation.

Radar Palette Home Click Conventional Warm Sector 1 Ahead of WCB within the Warm Sector Click for the Conceptual Model and Explanation.

Radar Palette Home Click Conventional Pre-warm Frontal 1 Ahead of WCB Classic area for virga Probability of virga increases with strength and dryness of.

Radar Palette Home Click Conventional Post Cold Frontal 1 Equatorward of DCB The DCB tends to sink isentropically as it typically curls anticyclonically.

Introduction to data assimilation in meteorology Pierre Brousseau, Ludovic Auger ATMO 08,Alghero, september 2008.

1 Unit 1 Kinematics Chapter 1 Day

Geophysical Modelling: Climate Modelling How advection, diffusion, choice of grids, timesteps etc are defined in state of the art models.

© University of Reading 2007www.reading.ac.uk RMetS Student Conference, Manchester September 2008 Boundary layer ventilation by mid-latitude cyclones Victoria.

Diabatic processes and the structure of extratropical cyclones Oscar Martínez-Alvarado R. Plant, J. Chagnon, S. Gray, J. Methven Department of Meteorology.

The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.

ESA DA Projects Progress Meeting 2University of Reading Advanced Data Assimilation Methods WP2.1 Perform (ensemble) experiments to quantify model errors.

Non-hydrostatic Numerical Model Study on Tropical Mesoscale System During SCOUT DARWIN Campaign Wuhu Feng 1 and M.P. Chipperfield 1 IAS, School of Earth.

08/20031 Volcanic Ash Detection and Prediction at the Met Office Helen Champion, Sarah Watkin Derrick Ryall Responsibilities Tools Etna 2002 Future.

13 June, 2013 Dymecs Meeting, Reading Tropical convective organisation in the UM Chris Holloway NCAS-Climate, Dept. of Meteorology, University of Reading.

© Crown copyright Met Office High resolution COPE simulations Kirsty Hanley, Humphrey Lean UK.

© Crown copyright Met Office High resolution COPE simulations Kirsty Hanley, Humphrey Lean UK.

The University of Reading Helen Dacre The Eyjafjallajökull eruption: How well were the volcanic ash clouds predicted? Helen Dacre and Alan Grant Robin.

Contrasting potential vorticity structures in two summer extratropical cyclones Oscar Martínez-Alvarado NCAS-Atmospheric Physics Sue Gray John Methven.

Page 1© Crown copyright Modelling the stable boundary layer and the role of land surface heterogeneity Anne McCabe, Bob Beare, Andy Brown EMS 2005.

Grid Point Models Surface Data.

Seamless turbulence parametrization across model resolutions

A New Method for Evaluating Regional Air Quality Forecasts

Convective Scale Modelling Humphrey Lean et. al

Volcanic Ash Detection and Prediction at the Met Office

COPE: The COnvective Precipitation Experiment. Met Office interests

Studying Hector: meteorology and tracer transport

The Flux Model of Orographic Rain

Presentation transcript:

The University of Reading Helen Dacre UM user 2009 Forecasting the transport of pollution using a NWP model ETEX Surface Measurement Sites

The University of Reading Helen Dacre UM user 2009 To determine the meteorological processes responsible for transporting tracer during ETEX 2 To assess the performance of the UK Met Offices NWP model in predicting tracer concentrations during ETEX 2 Aims

The University of Reading Helen Dacre UM user 2009 Talk Outline Overview of NWP model Analysis of meteorological processes Tracer transport in the UM –Horizontal –Vertical Conclusions

The University of Reading Helen Dacre UM user 2009 UK Met Office Unified Model Eulerian, non-hydrostatic NWP model Includes parameterisations (boundary layer mixing, microphysics, convection) Limited area model 12 km resolution Tracer released into lowest model grid box Tracers are passive LAM domain

The University of Reading Helen Dacre UM user 2009 Synoptic Analysis Modis visible 08UTC 14/11/94 Frontal analysis at 00 UTC on 13 th, 14 th, 15 th and 16/11/94

The University of Reading Helen Dacre UM user 2009 Precipitation Fields Convective rain amount 15/10/94 03 UTC Large-scale rain amount 15/10/94 03 UTC

The University of Reading Helen Dacre UM user 2009 Isentropic Surface Analysis

The University of Reading Helen Dacre UM user 2009 Horizontal Tracer Transport 15/11/94 03 UTC16/11/94 03 UTC15/11/94 15 UTC

The University of Reading Helen Dacre UM user 2009 Vertical Tracer Transport 15/11/94 03 UTC16/11/94 03 UTC15/11/94 15 UTC 285K 286K 287K 288K 15/11/94 03 UTC15/11/94 15 UTC 285K 286K 287K 288K 16/11/94 03 UTC 285K 288K 287K 286K 15/11/94 15 UTC UM - no convection UM

The University of Reading Helen Dacre UM user 2009 Conclusions A warm conveyor belt transported tracer up to height of 4km and tracer was transported further to 8km by convection High resolution simulations needed to predict the change in wind direction and hence the observed tracer distribution The representation of sub-grid scale processes in NWP models can affect the distribution of tracer Accuracy of forecast is also sensitive to choice of model dynamics and accuracy of the meteorological forecast

The University of Reading Helen Dacre UM user 2009 Wind Direction at Release Site cold front Wind direction (degrees) /11/94 Time (UTC) 15/11/94 50km 12km Obs