Impact of Model Grid Size on Estimating Source Strength from Sand Storm Wen-Dian Lin, Tsun-Hsien Liu and Julius S. Chang National Central University Jhongli,

Slides:



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

Dust uplift and transport observed during the GERBILS campaign John Marsham 1, Doug Parker 1, Christian Grams 2, Qian Huang 1,3, Sarah Jones 2, Jim Haywood.
Moisture Transport in Baroclinic Waves Ian Boutle a, Stephen Belcher a, Bob Plant a Bob Beare b, Andy Brown c 24 April 2014.
Quantification of the sensitivity of NASA CMS-Flux inversions to uncertainty in atmospheric transport Thomas Lauvaux, NASA JPL Martha Butler, Kenneth Davis,
A numerical simulation of urban and regional meteorology and assessment of its impact on pollution transport A. Starchenko Tomsk State University.
The Importance of the Representation of Deep Convection for Modelled Dust-Generating Winds over West Africa during Summer J. H. Marsham 1,2, P. Knippertz.
Fighting the Great Challenges in Large-scale Environmental Modelling I. Dimov n Great challenges in environmental modelling n Impact of climatic changes.
Experiments with Assimilation of Fine Aerosols using GSI and EnKF with WRF-Chem (on the need of assimilating satellite observations) Mariusz Pagowski Georg.
Fusion of SeaWIFS and TOMS Satellite Data with Surface Observations and Topographic Data During Extreme Aerosol Events Stefan Falke and Rudolf Husar Center.
1 The Asian Aerosol Contribution to North American PM Pollution: Recognizing Asian Transport Composition and Concentration Modeling Regional Aerosol Burdens.
Environmental Modeling Center ______________________________________________ Climate Change and Air Quality Workshop MCNC On the intercontinental transport.
Inverse Modeling of Asian CO and NO x emissions Yuxuan Wang M.B. McElroy, T. Wang, and P. I. Palmer 2 nd GEOS-CHEM Users’ Meeting April 5, 2005.
Seoul National Univ UAW2008 An assessment of uncertainties in the estimation of dust emission rate due to vegetation Eunjoo Jung & Soon-Chang.
New Particle Formation in the Global Atmosphere Fangqun Yu Atmospheric Sciences Research Center, State University of New York at Albany Zifa Wang Institute.
The DYMECS project A statistical approach for the evaluation of convective storms in high-resolution models Thorwald Stein, Robin Hogan, John Nicol, Robert.
Improving Cloud Simulation in Weather Research and Forecasting (WRF) Through Assimilation of GOES Satellite Observations Andrew White Advisor: Dr. Arastoo.
Influence of Asian Continental Outflow on the Regional Background Ozone Level in Northern South China Sea Chang-Feng Ou-Yang 1, Hsin-Cheng Hsieh 1, Sheng-Hsiang.
The July 2003 dust storm over Italy A strong Saharan dust outbreak occurred from 15 to 19 July 2003 over Italy. The figures below show the SeaWIFS image.
Prediction of Future North American Air Quality Gabriele Pfister, Stacy Walters, Mary Barth, Jean-Francois Lamarque, John Wong Atmospheric Chemistry Division,
Impact of Emissions on Intercontinental Long-Range Transport Joshua Fu, Yun-Fat Lam and Yang Gao, University of Tennessee, USA Rokjin Park, Seoul National.
Importance of Lightning NO for Regional Air Quality Modeling Thomas E. Pierce/NOAA Atmospheric Modeling Division National Exposure Research Laboratory.
3DVAR Retrieval of 3D Moisture Field from Slant- path Water Vapor Observations of a High-resolution Hypothetical GPS Network Haixia Liu and Ming Xue Center.
Slide 1 Impact of GPS-Based Water Vapor Fields on Mesoscale Model Forecasts (5th Symposium on Integrated Observing Systems, Albuquerque, NM) Jonathan L.
Evaluating trends in irrigation water requirement per unit are in north region of China, : should stations being classified according to land.
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.
1/26 APPLICATION OF THE URBAN VERSION OF MM5 FOR HOUSTON University Corporation for Atmospheric Research Sylvain Dupont Collaborators: Steve Burian, Jason.
Meteorological Data Analysis Urban, Regional Modeling and Analysis Section Division of Air Resources New York State Department of Environmental Conservation.
Seasonal Modeling (NOAA) Jian-Wen Bao Sara Michelson Jim Wilczak Curtis Fleming Emily Piencziak.
Numerical Simulation of Atmospheric Loadings of Mercury from a Coal Fired Power Plant to Lake Erie S. M. Daggupaty, C. M. Banic and P. Blanchard Air Quality.
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget Braun, S. A., 2006: High-Resolution Simulation of Hurricane Bonnie (1998).
Figure (a-c). Latitude-height distribution of monthly mean ozone flux for the months of (a) January, (b) April and (c) July averaged over years 2000 to.
Towards parametrized GEC current sources for the CESM model FESD project meeting February 2014 Wiebke Deierling, Andreas Baumgaertner, Tina Kalb.
Deguillaume L., Beekmann M., Menut L., Derognat C.
NATURAL AND TRANSBOUNDARY POLLUTION INFLUENCES ON AEROSOL CONCENTRATIONS AND VISIBILITY DEGRADATION IN THE UNITED STATES Rokjin J. Park, Daniel J. Jacob,
Air Masses and Fronts Meteorology. Air Masses Classified by temperature and humidity –Tropical: Warm, form in tropics, low pressure –Polar: cold, form.
Impacts of Cumulus Transport and Spatial Resolution on the Simulated Long-Range Transport and Source-Receptor Relationship T.Y. Lee, J.B. Lee and S.Y.
Page 1 Met Office © Crown copyright 2007 CAMM model performance assessed during DODO2 Steph Woodward – climate model dust scheme Glenn Greed – implementation.
Seasonal Modeling of the Export of Pollutants from North America using the Multiscale Air Quality Simulation Platform (MAQSIP) Adel Hanna, 1 Rohit Mathur,
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget SCOTT A. BRAUN J. Atmos. Sci., 63,
Page 1© Crown copyright 2006 Modelled & Observed Atmospheric Radiation Balance during the West African Dry Season. Sean Milton, Glenn Greed, Malcolm Brooks,
Simulation Experiments for TEMPO Air Quality Objectives Peter Zoogman, Daniel Jacob, Kelly Chance, Xiong Liu, Arlene Fiore, Meiyun Lin, Katie Travis, Annmarie.
Assimilation of Lightning Data Using a Newtonian Nudging Method Involving Low-Level Warming Max R. Marchand Henry E. Fuelberg Florida State University.
Introduction North China, or Huabei region, located between 32°- 42°N latitude in eastern China, is one of the most severely polluted regions in China.
Peak 8-hr Ozone Model Performance when using Biogenic VOC estimated by MEGAN and BIOME (BEIS) Kirk Baker Lake Michigan Air Directors Consortium October.
NWP models. Strengths and weaknesses. Morten Køltzow, met.no NOMEK
Validation of Satellite-derived Clear-sky Atmospheric Temperature Inversions in the Arctic Yinghui Liu 1, Jeffrey R. Key 2, Axel Schweiger 3, Jennifer.
WRAP RMC Phase II Wind Blown Dust Project Results & Status ENVIRON International Corporation and University of California, Riverside Dust Emission Joint.
Assimilation of Satellite Derived Aerosol Optical Depth Udaysankar Nair 1, Sundar A. Christopher 1,2 1 Earth System Science Center, University of Alabama.
Modeling the emission, transport, and optical properties of Asian dust storms using coupled CAM/CARMA model Lin Su and Owen B. Toon Laboratory for Atmospheric.
Eastern US Transport Climatology During Average, High and Low Ozone Days Bret A. Schichtel and Rudolf B. Husar Center for Air Pollution Impact and Trend.
WRAP Workshop on Fire, Carbon and Dust – Sacramento, CA - May 23-24, 2006 WRAP RMC Phase II Wind Blown Dust Project Regional Modeling Center ENVIRON; UCR.
Forecasting smoke and dust using HYSPLIT. Experimental testing phase began March 28, 2006 Run daily at NCEP using the 6Z cycle to produce a 24- hr analysis.
Transport Simulation of the April 1998 Chinese Dust Event Prepared by: Bret A. Schichtel And Rudolf B. Husar Center for Air Pollution Impact and Trend.
Benoit Laurent, Béatrice Marticorena, Gilles Bergametti
Observational Error Estimation of FORMOSAT-3/COSMIC GPS Radio Occultation Data SHU-YA CHEN AND CHING-YUANG HUANG Department of Atmospheric Sciences, National.
Jianyu Liang (York U.) Yongsheng Chen (York U.) Zhiquan Liu (NCAR)
Water Budget of Typhoon Nari(2001)
Calculation of Background PM 2.5 Values
Duane Ono & Scott Weaver,
Upper air Meteorological charts
Jeong, J.-H., D.-I. Lee, and C.-C. Wang, 2016
Junhua Zhang and Wanmin Gong
WRAP RMC Windblown Dust Emission Inventory Project Summary
Topographic Effects on Typhoon Toraji (2001)
Scott A. Braun, 2002: Mon. Wea. Rev.,130,
Kurowski, M .J., K. Suselj, W. W. Grabowski, and J. Teixeira, 2018
Contribution from Natural Sources of Aerosol Particles to PM in Canada
Xu, H., and X. Li, 2017 J. Geophys. Res. Atmos., 122, 6004–6024
Orographic Influences on Rainfall Associated with Tropical Cyclone
The Flux Model of Orographic Rain
Presentation transcript:

Impact of Model Grid Size on Estimating Source Strength from Sand Storm Wen-Dian Lin, Tsun-Hsien Liu and Julius S. Chang National Central University Jhongli, Taiwan

Research Objectives Study on Impact of Asian Sand Storm Influence on Taiwan Air Quality and Control Strategy Use of Air Quality Model -- first question Impact of Model Grid Size on Estimating Source Strength from Sand Storm

Study Protocol MM5 Mesoscale Met. Model (81km) TAQM estimation of dust source and transport MM5 Mesoscale Met. Model (27km) TAQM estimation of dust source and transport Analysis of Differences

Modeling Domain Observation net resolution > 81 km D1:81km 73x97 D2:27km 82x121 D1 D2

Paramerization for sand dust source function Wang et al., 2000 JGR Surface friction velocity: u * >u * cri 25~70cm/s Relative humidity: RH<RH cri =40%-55% Cold front passage: T 24 -T 0 <-3 0 C Source function C: weighting factor for different land types u*:friction velocity RH: relative humidity R: fraction of the 12 bin of deflating yellow sand bin size from 0.13 to μ m

RH cri

u * cri

Emission factor

April 8-11, 2001 Event

Event Meteorological Condition

TOMS AI Data 2001, April 8-11

TAQM Modeling ResultsResults

Unit: g/sec/km2 Average Emission Rates

Differences in Sand Dust Budgets and Distributions

TIME H

H

H

Time & Location 81km (ton) (A) 27km (ton) (B) Ratios (B/A) 2001/4/8/1 400UTC E 38-40N Total <4000m >4000m % % /4/9/0 300UTC E 38-42N Total <4000m >4000m % % % 2001/4/9/1 600UTC E 38-42N Total <4000m >4000m % % %

Conclusions For the same domain, difference in grid resolution has only small impact on average sand dust emissions rate. While the total budgets are similar there are differences in timing and spatial distributions. Initially, for the event studied, vertical distributions of mass budget in the source region can be different at around 10%. At near continental outflow region vertical distributions can be very different. For the event studied, at above 4 km such differences can be nearly a factor of 3.