Global Aerosol Forecasting System Applications to Houston/Costa Rica Aura Validation Experiments Arlindo da Silva Global Modeling and Assimilation Office,

Slides:

Advertisements

Similar presentations

OC & BC 0.5° (ton) Eric F. Vermote 1,2, Evan A. Ellicott 1, Tatyana Laypyonok 3, Oleg Dubovik 4, & Mian Chin 2 1 Department of Geography, University of.

Advertisements

Martin G. Schultz, MPI Meteorology, Hamburg GEMS proposal preparation meeting, Reading, Dec 2003 GEMS RG Global reactive gases monitoring and forecast.

MOPITT CO Louisa Emmons, David Edwards Atmospheric Chemistry Division Earth & Sun Systems Laboratory National Center for Atmospheric Research.

Constituent Assimilation in GMAO Ivanka Štajner Hiroo Hayashi Kris Wargan Steven Pawson.

In Cooperation with the IAMAS Commission on Atmospheric Chemistry and Global Pollution (CACGP) The International Global Atmospheric Chemistry Project A.

GEOS-5 Simulations of Aerosol Index and Aerosol Absorption Optical Depth with Comparison to OMI retrievals. V. Buchard, A. da Silva, P. Colarco, R. Spurr.

Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.

Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.

GEOS-CHEM Near-Real Time Full-Chemistry Simulations S. Turquety, D. J. Jacob, R. M. Yantosca, R. C. Hudman, L. Jaeglé, S. Wu Objectives : 1.ICARTT campaign.

Near-Real Time Analysis of the Modern Carbon Cycle by Model-Data Fusion Scott Denning, David Baker, Chris O’Dell, Denis O’Brien, Tomohiro Oda, Nick Parazoo,

Satellite-based Global Estimate of Ground-level Fine Particulate Matter Concentrations Aaron van Donkelaar1, Randall Martin1,2, Lok Lamsal1, Chulkyu Lee1.

Colette Heald Fangqun Yu Aerosol Processes Working Group.

GEOS Meteorological and Chemical Data Assimilation Steven Pawson Global Modeling and Assimilation Office NASA GSFC.

Effects of Siberian forest fires on regional air quality and meteorology in May 2003 Rokjin J. Park with Daeok Youn, Jaein Jeong, Byung-Kwon Moon Seoul.

Evaluating the Role of the CO 2 Source from CO Oxidation P. Suntharalingam Harvard University TRANSCOM Meeting, Tsukuba June 14-18, 2004 Collaborators.

The Role of Aerosols in Climate Change Eleanor J. Highwood Department of Meteorology, With thanks to all the IPCC scientists, Keith Shine (Reading) and.

Implementing Online Marine Organic Aerosol Emissions into GEOS-Chem Implementing Online Marine Organic Aerosol Emissions into GEOS-Chem NASA Ames Research.

Assimilation of EOS-Aura Data in GEOS-5: Evaluation of ozone in the Upper Troposphere - Lower Stratosphere K. Wargan, S. Pawson, M. Olsen, J. Witte, A.

ATMOSPHERIC CHEMISTRY: FROM AIR POLLUTION TO GLOBAL CHANGE AND BACK Daniel J. Jacob.

NASA/GTE MISSIONS, TRAnsport and Chemical Evolution over the Pacific (TRACE-P) A two-aircraft GTE mission over the western Pacific in February-April.

Visualization, Exploration, and Model Comparison of NASA Air Quality Remote Sensing data via Giovanni Ana I. Prados, Gregory Leptoukh, Arun Gopalan, and.

© Crown copyright Met Office Met Office dust forecasting Using the Met Office Unified Model™ David Walters: Manager Global Atmospheric Model Development,

GOCART Model Study of Anthropogenic Aerosol Radiative Forcing Mian Chin NASA Goddard Space Flight Center.

Improving Black Carbon (BC) Aging in GEOS-Chem Based on Aerosol Microphysics: Constraints from HIPPO Observations Cenlin He Advisers: Qinbin Li, Kuo-Nan.

National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer Case Study.

EOS CHEM. EOS CHEM Platform Orbit: Polar: 705 km, sun-synchronous, 98 o inclination, ascending 1:45 PM +/- 15 min. equator crossing time. Launch date.

Using MODIS fire count data as an interim solution for estimating biomass burning emission of aerosols and trace gases Mian Chin, Tom Kucsera, Louis Giglio,

Global Aerosol Forecasting at NCEP using Satellite-based Smoke Emissions Global Aerosol Forecasting at NCEP using Satellite-based Smoke Emissions Sarah.

GEOS-Chem Chemical Transport Model: Current Status and Future Plans Daniel J. Jacob, GEOS-Chem Model Scientist Harvard University.

Arlindo da Silva Global Modeling and Assimilation Office, NASA/GSFC MODIS Science Team Meeting Sheraton Silver Spring 21 May 2015.

Studies of Emissions & Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC 4 RS) Brian Toon Department of Atmospheric and Oceanic.

Seasonal variability of UTLS hydrocarbons observed from ACE and comparisons with WACCM Mijeong Park, William J. Randel, Louisa K. Emmons, and Douglas E.

The GEOS-CHEM Simulation of Trace Gases over China Li ZHANG and Hong LIAO Institute of Atmospheric Physics Chinese Academy of Sciences April 24, 2008.

MAP MODELING EFFORTS MAP: Building Integrated Earth System Analysis (Modeling): IESA CTM work funded by MAP will be seen as part of the overall Earth System.

Developing Daily Biomass Burning Inventories from Satellite Observations and MOPITT Observations of CO during TRACE P Colette Heald Advisor: Daniel Jacob.

Characterization of Aerosols using Airborne Lidar, MODIS, and GOCART Data during the TRACE-P (2001) Mission Rich Ferrare 1, Ed Browell 1, Syed Ismail 1,

Modelling the radiative impact of aerosols from biomass burning during SAFARI-2000 Gunnar Myhre 1,2 Terje K. Berntsen 3,1 James M. Haywood 4 Jostein K.

GEOS-CHEM users’ meeting Harvard University Gabriele Curci6/2/2003 Stratospheric chemistry and SMVGEAR II in GEOS-CHEM model Gabriele Curci University.

Chemical forecast from NASA, U.Iowa & NCAR Arlindo DaSilva, NASA Goddard Pablo Saide, Greg Carmichael, U. Iowa Louisa Emmons, Mary Barth, Mijeong.

Recent Advances in the Use of Chemical Transport Models in Atmospheric Chemistry Studies G. Carmichael, I. Uno, Y. Tang, J. Woo, D. Streets, G. Kurata,

AT737 Aerosols.

Model evolution of a START08 observed tropospheric intrusion Dalon Stone, Kenneth Bowman, Cameron Homeyer - Texas A&M Laura Pan, Simone Tilmes, Doug Kinnison.

10-11 October 2006HYMN kick-off TM3/4/5 Modeling at KNMI HYMN Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the.

MODIS Science Team Mtg Simultaneous retrieval of Aerosol and Chlorophyll from MODIS Aqua radiances Clark Weaver GEST UMBC NASA Goddard Arlindo da Silva.

Use of GMI to Study Tropospheric and Stratospheric Bromine Budgets Debra Weisenstein AER, Inc. GMI Science Team Meeting March 2008.

1 Using Satellite Data to Improve Operational Atmospheric Constituents Forecasting Capabilities Shobha Kondragunta, NOAA/NESDIS/STAR Xiaoyang Zhang, UMD.

GEOS-CHEM global model of tropospheric chemistry (www-as.harvard.edu/chemistry/trop/geos) assimilated meteorological data from NASA DAO, o.

Dust aerosols in NU-WRF – background and current status Mian Chin, Dongchul Kim, Zhining Tao.

Earth Observing Satellites Update John Murray, NASA Langley Research Center NASA Aviation Weather Satellites Last Year NASA’s AURA satellite, the chemistry.

Regional Chemical Modeling in Support of ICARTT Topics:  How good were the regional forecasts?  What are we learning about the emissions?  What are.

MOPITT and MOZART for Flight Planning and Analysis of INTEX-B Louisa Emmons Peter Hess, Avelino Arellano, Gabriele Pfister, Jean-François Lamarque, David.

March 31, 2004BGC Working Group Interactive chemistry in CAM Jean-François Lamarque, D. Kinnison and S. Walters Atmospheric Chemistry Division NCAR.

FIVE CHALLENGES IN ATMOSPHERIC COMPOSITION RESEARCH 1.Exploit satellite and other “top-down” atmospheric composition data to quantify emissions and export.

Characterization of the Station Fire, Los Angeles Aug. – Sept NASA Team MODIS Data products: Robert Levy Lorraine Remer N. Christina Hsu Charles.

NASA, CGMS-43, May 2015 Coordination Group for Meteorological Satellites - CGMS Use of Satellite Observations in NASA Reanalyses: MERRA-2 and Future Plans.

Retrieving sources of fine aerosols from MODIS/AERONET observations by inverting GOCART model INVERSION: Oleg Dubovik 1 Tatyana Lapyonok 1 Tatyana Lapyonok.

March 9, 2004CCSM AMWG Interactive chemistry in CAM Jean-François Lamarque, D. Kinnison S. Walters and the WACCM group Atmospheric Chemistry Division NCAR.

Analysis of Satellite Observations to Estimate Production of Nitrogen Oxides from Lightning Randall Martin Bastien Sauvage Ian Folkins Chris Sioris Chris.

Use of Near-Real-Time Data for the Global System

GMI Capabilities Sarah Strode, Jose Rodriguez, Steve Steenrod, Junhua Liu, Susan Strahan, Eric Nielsen.

Modeling team: Mian Chin, Huisheng Bian, Tom Kucsera NASA GSFC

INTERCONTINENTAL TRANSPORT: CONCENTRATIONS AND FLUXES

Extending MICROS to include Solar Reflectance Bands (SRB)

During April 2008, as part of the International Polar Year (IPY), NOAA’s Climate Forcing and Air Quality Programs engaged in an airborne field measurement.

Continental outflow of ozone pollution as determined by ozone-CO correlations from the TES satellite instrument Lin Zhang Daniel.

PI: Steven Pawson (GMAO) Atmosphere:

FIRST GEOS-CHEM USERS’ MEETING June

Diurnal Variation of Nitrogen Dioxide

Global Climatology of Fine Particulate Matter Concentrations Estimated from Remote-Sensed Aerosol Optical Depth Aaron van Donkelaar1, Randall Martin1,2,

Colette Heald Atmospheric Chemistry Modeling Group Harvard University

Presentation transcript:

Global Aerosol Forecasting System Applications to Houston/Costa Rica Aura Validation Experiments Arlindo da Silva Global Modeling and Assimilation Office, Code Peter Colarco Atmospheric Chemistry and Dynamics Branch, Code 613.3

Goals Incorporate state of the art aerosol and chemistry packages into the GEOS-5 global climate model and data assimilation system Provide to the NASA and wider science community “chemical weather” forecasts Forecasts produced in same modeling framework used to support funded investigations of aerosol effects on climate and assimilation of A-Train aerosol products -Aerosol/Chemistry packages are ESMF components integrated into MAP modeling environment

Aerosols Developed an implementation of the GOCART aerosol module for major tropospheric aerosol species Collaborator: Mian Chin, Code 613.3

CO and CO 2 Implemented modules for CO and CO 2 forecasting capability based on Code PCTM CO -sources from fossil fuel, biofuel, and biomass burning -chemical production from NMHC and CH 4 oxidation, chemical loss to OH oxidation -oxidants for chemistry based on GEOS-CHEM/GMI and CMDL GLOBALVIEW-CH4 CO 2 -sources from biosphere, ocean, and fossil fuel following Transcom 3 protocol, and biomass burning Collaborators: Huisheng Bian, Randy Kawa, Code 613.3

Biomass Burning Emissions QFED: Daily biomass burning emissions of aerosols, CO, CO 2, and SO 2 Real-time MODIS firecounts from Aqua and Terra Collaborators: Jim Collatz, Code 614.4, Mian Chin, Tom Kucsera, Code Emission factors calibrated against Global Fire Emission Database (GFED) GFED QFED

Chemical Forecasts Aerosols, CO, and CO 2 currently transported “on-line” in current GEOS-4 global climate model -Same modules can also be run in GMAO’s next generation GEOS-5 system -Depending on mission requirements other packages are available, e.g, full stratospheric chemistry as used for PAVE -GMI combined tropospheric/stratospheric chemistry modules under integration (with SIVO) Model is run in global domain, 1° x 1.25 ° horizontal resolution, 55 vertical levels extending to 85 km -GEOS-5 version will be run at 0.5 o resolution 5-day forecasts run twice daily at 0Z and 12Z with atmospheric state from GMAO’s First Look Data Assimilation System Collaborators: GMAO Operations Group

Aura Validation Experiment Support Please also see the HyperWall display in the Back, soon in the Bldg. 33 Lobby!

Aura Validation Experiment Products Forecast animations of aerosol optical thickness and tracer mixing ratios Forecast and analysis static plots of aerosol optical thickness and tracer mixing ratio Vertical cross-section “curtain plots” of tracer mixing ratio along north-south and east-west flight trajectories

Model Evaluation Analysis of CRAVE mission data is preliminary Model Aircraft

Model Evaluation Analysis of CRAVE mission data is preliminary Aerosols are being compared to previous off-line GOCART runs -GOCART is run at 2º x 2.5º resolution with GEOS-3 meteorology 5822pGas 80153pLiq Wet 1738Dep 710Emis GOCARTGEOS-4 SO Wet Dep Sed Emis GOCARTGEOS-4 Dust Wet Dep Sed Emis GOCARTGEOS-4 Sea salt 6242Wet 1635Dep 7977Emis GOCARTGEOS-4 OC 107Wet 36Dep 1413Emis GOCARTGEOS-4 BC Budgets for Year 2000 Reflect differences in meteorology, resolution, parameterizations, and ordering of processes September 2000 (SAFARI-2000) Organic Carbon Mass Loadings GOCART GEOS-4

Model Evaluation Analysis of CRAVE mission data is preliminary Aerosols are being compared to previous off-line GOCART runs Aerosols are being compared to AERONET and MODIS datasets -Sampling of model and satellite data in a consistent manner is important for comparison September 2000 (SAFARI-2000) Monthly Mean AOT MODIS GEOS-4 unsampled GEOS-4 sampled like MODIS

Data Assimilation MODIS Assimilation: -1D-Var assimilation of radiances (MODIS/OMI) -Observation bias corrections and source defect estimated by means of forecast bias estimates Combined MODIS/OMI Assimilation: -Improve estimation of absorption by using OMI UV/Visible channels -1D-Var assimilation of MODIS and OMI radiances -Monitoring of OMI radiances and assimilated aerosol fields Collaborators: Clark Weaver, Omar Torres, Amelia Colarco, Code AERONET AOT GOCART Analysis AOT Weaver et al., 2006, JAS, in review

Future Directions Continue support for other NASA missions: INTEX, AMMA Funded and proposed work for data assimilation of MODIS, OMI, SAGE,CALIPSO, GLAS, etc., radiance and aerosol products Pending ROSES/DECISIONS proposal for GFS-GOCART -This project will give NCEP aerosol forecasting capabilities Funded work under MAP for incorporation of aerosol and cloud microphysics for improved aerosol composition, direct effect, and indirect effect estimations

GEOS-4 Model Description 1.25° x 1° horizontal, 32 vertical levels GSFC dynamical core and assimilated meteorology NCAR physics GOCART aerosols:dust (5 bins), seasalt (5 bins), sulfate, organic and black carbon GSFCCapo VerdeMongu Model +/- 1  AERONET +/- 1 