Sensitivity Study of a Coupled Carbon Dioxide Meteorological Modeling System with Case Studies András Zénó Gyöngyösi, Tamás Weidinger, László Haszpra,

Slides:



Advertisements
Similar presentations
Introduction Irina Surface layer and surface fluxes Anton
Advertisements

Convection plans Alison Stirling.
Weather Research & Forecasting: A General Overview
A NUMERICAL PREDICTION OF LOCAL ATMOSPHERIC PROCESSES A.V.Starchenko Tomsk State University.
Section 2: The Planetary Boundary Layer
WRF Modeling System V2.0 Overview
A numerical simulation of urban and regional meteorology and assessment of its impact on pollution transport A. Starchenko Tomsk State University.
The Problem of Parameterization in Numerical Models METEO 6030 Xuanli Li University of Utah Department of Meteorology Spring 2005.
OpenFOAM for Air Quality Ernst Meijer and Ivo Kalkman First Dutch OpenFOAM Seminar Delft, 4 november 2010.
Günther Zängl, DWD1 Improvements for idealized simulations with the COSMO model Günther Zängl Deutscher Wetterdienst, Offenbach, Germany.
Meteorological Data Issues for Class II Increment Analysis.
Session 2, Unit 3 Atmospheric Thermodynamics
Transport of Air Pollutants
Jared H. Bowden Saravanan Arunachalam
NOAA/NWS Change to WRF 13 June What’s Happening? WRF replaces the eta as the NAM –NAM is the North American Mesoscale “timeslot” or “Model Run”
1 AirWare : R elease R5.3 beta AERMOD/AERMET DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA
Geophysical Modelling: Climate Modelling How advection, diffusion, choice of grids, timesteps etc are defined in state of the art models.
1 NGGPS Dynamic Core Requirements Workshop NCEP Future Global Model Requirements and Discussion Mark Iredell, Global Modeling and EMC August 4, 2014.
HWRF Model Sensitivity to Non-hydrostatic Effects Hurricane Diagnostics and Verification Workshop May 4, 2009 Katherine S. Maclay Colorado State University.
Calculation of wildfire Plume Rise Bo Yan School of Earth and Atmospheric Sciences Georgia Institute of Technology.
Coupled GCM The Challenges of linking the atmosphere and ocean circulation.
Development of WRF-CMAQ Interface Processor (WCIP)
Mesoscale Modeling Review the tutorial at: –In class.
AMBIENT AIR CONCENTRATION MODELING Types of Pollutant Sources Point Sources e.g., stacks or vents Area Sources e.g., landfills, ponds, storage piles Volume.
Coupled Climate Models OCEAN-ATMOSPHEREINTERACTIONS.
Atmospheric Modeling in an Arctic System Model John J. Cassano Cooperative Institute for Research in Environmental Sciences and Department of Atmospheric.
Miskam basics MISKAM – Mikroskaliges Strömung-und Ausbreitungsmodell (Microscale flow and dispersion model) Developer: Dr. J. Eichhorn, Universität Mainz.
Applied NWP [1.2] “Once the initialization problem was resolved in the 1960s, models based on the primitive equations gradually supplanted those based.
Understanding the USEPA’s AERMOD Modeling System for Environmental Managers Ashok Kumar Abhilash Vijayan Kanwar Siddharth Bhardwaj University of Toledo.
Sensitivity of WRF model to simulate gravity waves
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.
Richard Rotunno National Center for Atmospheric Research, USA Dynamic Mesoscale Mountain Meteorology Lecture 2: Thermally Driven Circulations.
Rho-Taek Jung Date Title 2 June MEC Ocean Model Introduction, Hydrostatic Model, Full-3D Model, Eddy Viscosity, Boundary Condition 9 June Exercise1: MEC.
How Small-Scale Turbulence Sets the Amplitude and Structure of Tropical Cyclones Kerry Emanuel PAOC.
Seasonal Modeling (NOAA) Jian-Wen Bao Sara Michelson Jim Wilczak Curtis Fleming Emily Piencziak.
Estimating the Optimal Location of a New Wind Farm based on Geospatial Information System Data Dec Chungwook Sim.
General Circulation Modelling on Triton and Pluto
Toward a mesoscale flux inversion in the 2005 CarboEurope Regional Experiment T.Lauvaux, C. Sarrat, F. Chevallier, P. Ciais, M. Uliasz, A. S. Denning,
An air quality information system for cities with complex terrain based on high resolution NWP Viel Ødegaard, r&d department.
Large-Eddy Simulations of the Nocturnal Low-Level Jet M.A. Jiménez Universitat de les Illes Balears 4th Meso-NH user’s meeting, Toulouse April 2007.
Dispersion conditions in complex terrain - a case study of the January 2010 air pollution episode in Norway Viel Ødegaard Norwegian Meteorological.
Three Lectures on Tropical Cyclones Kerry Emanuel Massachusetts Institute of Technology Spring School on Fluid Mechanics of Environmental Hazards.
Application of Models-3/CMAQ to Phoenix Airshed Sang-Mi Lee and Harindra J. S. Fernando Environmental Fluid Dynamics Program Arizona State University.
A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional.
CITES 2005, Novosibirsk Modeling and Simulation of Global Structure of Urban Boundary Layer Kurbatskiy A. F. Institute of Theoretical and Applied Mechanics.
Transport and dispersion of air pollution
An evaluation of satellite derived air-sea fluxes through use in ocean general circulation model Vijay K Agarwal, Rashmi Sharma, Neeraj Agarwal Meteorology.
Lagrangian particle models are three-dimensional models for the simulation of airborne pollutant dispersion, able to account for flow and turbulence space-time.
Bogdan Rosa 1, Marcin Kurowski 1 and Michał Ziemiański 1 1. Institute of Meteorology and Water Management (IMGW), Warsaw Podleśna, 61
3-D nonhydrostatic numerical modelling of strongly nonlinear internal waves V. Maderich, M. Zheleznyak, E. Terletska, V. Koshebutskyy, M. Morgunov IMMSP,
Observed Structure of the Atmospheric Boundary Layer
MM5 studies at Wageningen University (NL) Title Jordi Vilà (Group 4) NL North sea Radar MM5 NL North sea.
Meteorology for modeling AP Marti Blad PhD PE. Meteorology Study of Earth’s atmosphere Weather science Climatology and study of weather patterns Study.
Air Pollution Meteorology Ñ Atmospheric thermodynamics Ñ Atmospheric stability Ñ Boundary layer development Ñ Effect of meteorology on plume dispersion.
Module 6 MM5: Overview William J. Gutowski, Jr. Iowa State University.
Vincent N. Sakwa RSMC, Nairobi
Interannual to decadal variability of circulation in the northern Japan/East Sea, Dmitry Stepanov 1, Victoriia Stepanova 1 and Anatoly Gusev.
Processes in the Planetary Boundary Layer
Météo-France / CNRM – T. Bergot 1) Methodology 2) The assimilation procedures at local scale 3) Results for the winter season Improved Site-Specific.
Parameterization of the Planetary Boundary Layer -NWP guidance Thor Erik Nordeng and Morten Køltzow NOMEK 2010 Oslo 19. – 23. April 2010.
Cumulus Clouds. Instabilities Resulting in Vertical Overturning 1.Thermal Instability (Assuming uniform vertical pressure gradient) a) Static (Parcel.
Implementation of a boundary layer heat flux parameterization into the Regional Atmospheric Modeling System Erica McGrath-Spangler Dept. of Atmospheric.
Interfacing Model Components CRTI RD Project Review Meeting Canadian Meteorological Centre August 22-23, 2006.
WindNinja Model Domain/Objective
gWRF Workflow and Input Data Requirements
GIJS DE BOER(1), GREGORY J. TRIPOLI(1), EDWIN W. ELORANTA(2)
Distribution A: Approved for Public Release, Distribution Unlimited
Models of atmospheric chemistry
MODELING AT NEIGHBORHOOD SCALE Sylvain Dupont and Jason Ching
RegCM3 Lisa C. Sloan, Mark A. Snyder, Travis O’Brien, and Kathleen Hutchison Climate Change and Impacts Laboratory Dept. of Earth and Planetary Sciences.
Presentation transcript:

Sensitivity Study of a Coupled Carbon Dioxide Meteorological Modeling System with Case Studies András Zénó Gyöngyösi, Tamás Weidinger, László Haszpra, Zsuzsanna Iványi and Hiroaki Kondo The NIRE ETA model

Overview  Short model description i. NIRE ii. ETA  Implementation i. NIRE ii. ETA  Coupling of NIRE to ETA  Sensitivity studies  Case studies  Conclusion, future works

Model Description ➲ NIRE ● Mesoscale circulation model (simple dynamics) ● Dispersion model ➲ Boussinesq-approximation ➲ Anelastic equations ➲ Terrain following s-coordinate (vrbl. res.) ➲ Staggered (Arakawa) grid ➲ First order turbulent closure (K ~ Richardson #) ● Vertical diff – implicit solver ● Horizontal diff – just for numerical stability ➲ Srfc: Monin-Obuhov; Energy Balance Eq. ➲ Soil: Thermal conductivity eq.

Surface parameterization H2O: passive scalar, srfc ➲ No clouds, relevant in sfc heat balance CO2: ➲ Vegetation (Photosynth.+Res.) for each veg. mosaic => synthesized flux ➲ Anthropogen: ● area srfc (heating and traffic) ● large stacks – plume rise (CONCAWE)

Boundary conditioning; Numerical integration ➲ Lateral bndry ● Flow relaxation zone ➲ Top bndry ● Sponge layer ➲ Initialization ● Dynamical init. – spin-up ➲ Time integration: Leap frog – Forward each 20 th step to adjust numerical mode

Implementation ➲ Surface files ● IGBP landcover landuse database (USGS) ➲ Sensitivity test ● Dynamics ● Superadiabatic stratification ● Strong wind ➲ Basin ● Carpathian bndry: nonlinear interaction topography -- bndry

Model bndry interacts w/ topography – strong nonlinear effects More effective bndry conditions are necessary

Sensitivity Study Mixing layer depth (Convective different cloud amounts Time evolution of CO 2 in the model domain

The “Meteorological driver” ➲ NCEP/ETA model (EMS NWS/NOAA): ● Limited area NWP model ● Primitive hydrostatic eqs – non-hydrost. Option ● Modified terrain following coordinate system ● Eta (modified sigma) ● approx horiz. srfs separatio nof lee flow ● sfc & PBL param. sophisticated

Adaptation “Operational” run for Central Europe ”Operational” run for Central Europe Adaptation of ETA + Budapest Init & bndry conds downloaded from NCEP every morning

Dynamical Test (non-hydrostatic option) ➲ Hydrostatic equations, non-hydrostatic effects parameterized ● Small-scale effect are more non-hydrost. ● Small impact on solutions ● In the standard run non-hydrost. Option not implemented ● DF init. not used

H 500 P sfc The Mass field Pressure falling (approaching system) NH departure ∆h~-.4—1.4 h~5530—5620 9m

The Wind field NH wind stronger more KE generation NH departures associated with topography

Coupling NIRE to ETA Super-adiabatic lapse rate  instab Extreme wind speed  lat & top bndry Flow relax term  changed to sine shape Top sponge layer enlarged Adiabat. adjustment:

A Case study Cold inversion in the Basin 02 February 2006 “Inversion case” Convective boundary layer after the decay of the inversion 06 February 2006 “Convection case”

Effect of a single large stack ● Plume rise (CONCAWE – Briggs, 1968) ● 200 m high ● 280 m C ● 1000 t/day CO 2 emission ● Located in the middle of the domain

Time evolution of temperature InversionConvection

Temperature different time of the day Inversion Convection

Time evolution of CO 2 Inversion Convection

CO 2 different time of the day InversionConvection

12 LST

15 LST

18 LST

22 LST

Conclusion ➲ NIRE is able to provide realistic meteorological conditions in suitable initial and boundary conditions taken from ETA ➲ The modular structure of it makes them suitable for PBL tests ➲ The coupled system is able to calculate concentration for different extreme meteorological conditions

Future works ➲ Introduction of newer parameterization schemes into the CO 2 model – further sensitivity and case studies ➲ Daily coupled system runs for the estimation of annual variation of surface fluxes ➲ Estimation of annual Carbon budget of the Carpatian Basin