RAQMS global chemical composition assimilation and regional ozone/aerosol forecasting during the 2004 NASA INTEX-NA field campaign

Size: px
Start display at page:

Download "RAQMS global chemical composition assimilation and regional ozone/aerosol forecasting during the 2004 NASA INTEX-NA field campaign"

Transcription

1 Regional Air Quality Modeling System (RAQMS) Ozone Assimilation/Prediction February 27, 2001 RAQMS global chemical composition assimilation and regional ozone/aerosol forecasting during the 2004 NASA INTEX-NA field campaign Satellite Retrievals Global Assimilation R. Bradley Pierce 1, Jassim Al-Saadi 1, Chieko Kittaka 1, Todd K. Schaack 2,Donald R. Johnson 2, Tom H. Zapotocny 2,Allen J. Lenzen 2, Matt Hitchman 3,Greg Tripoli 3,Marcus Buker 3 Regional Prediction Insitu data provided by: M. Avery (LaRC), R. Cohen (UC Berkley) Satellite data provided by: R. McPeters (GSFC) EPA Surface data provided by: J. Szykman (USEPA) 1 NASA Langley Research Center 2 University of Wisconsin, Space Science and Engineering Center, 3 University of Wisconsin, Atmospheric and Oceanic Sciences Validation RAQMS [Pierce et al., 2003] is a nested globalto regional-scale meteorological and chemical modeling system for assimilating and predicting the chemical state of the atmosphere (air quality).

2 RAQMS G Chemical Assimilation Chem/Met Forecast Cycle EPTOMS O3 Column 24hr chemical assimilation 72hr Chem/Met Forecast 12Z 18Z 00Z 06Z 12Z GFS Analyses May 11- Aug 31, 2004 ICARTT Focus areas: regional air quality, intercontinental transport, and radiation balance NOAA New England Air Quality Study (NEAQS) mission NASA Intercontinental Chemical Transport Experiment- North America (INTEX-NA) mission EU Intercontinental Transport of Ozone and Precursors (ITOP) North Atlantic Study RAQMS provided daily on-line global meteorological and chemical forecasts, initialized with assimilated ozone distributions, to the NASA INTEX-NA science team for mission flight planning. 2 o x2.5 o Global component of the LaRC/UW-Madison Regional Air Quality Modeling System (RAQMS) uses the UW- Hybrid dynamical core, LaRC unified strat/trop chemistry, and Statistical Digital Filtering (SFD) for real-time TOMS Ozone assimilation and chemical/dynamical predictions. [36 levels (12 eta, 24 theta, ~3km stratospheric resolution]

3 Verification of RAQMS Upper Air O3 Analysis: INTEX RAQMS/DC8 Insitu O3 (M. Avery, LaRC) July 2004 RAQMS TOC and DC8 Flight Tracks July 2004 distribution of tropospheric ozone column (TOC) over the continental US was determined by local and remote (Alaskan Fires, Asian, European) emissions of O3 precusors (NOx, NMHC) and significant STE. RAQMS O3 analysis shows very good agreement with in-situ O3 except for overestimates associated with tropopause encounters

4 Verification of RAQMS Surface O3 Forecast: July 2004 RAQMS Analysis/48hr Forecast

5 Verification of RAQMS Upper Air NO2/PAN Analysis: INTEX RAQMS/DC8 Insitu NO2/PAN (R. Cohen, UC-Berkley) RAQMS NO2 analysis shows very good agreement with in-situ NO2 except for upper tropospheric underestimates associated with convectively influenced airmasses (BL lofting & lightning NOx) RAQMS PAN analysis shows fair agreement with in-situ PAN except near 800mb where it is underestimated by a factor of 4, possibly due to influences from Alaskan fires.

6 Moderate-Unhealthy O3 AQI over TX on July 20, spread to the SE US on July 21, and then NE by July 22, EPA AIRNow Ozone AQI: July 18- July 22, 2004

7 BL O3 July 18, 2004 RAQMS N Average Boundary Layer Ozone: July 18-22, 2004 July 19, 2004 July 20, 2004 July 21, 2004 RAQMS N regional Chemical simulation: UWNMS Dynamical Core 80Km Continental US EDAS Met BC/IC RAQMS G Chem BC/IC Initialized on July 15, 2004 July 22, 2004

8 Verification of Surface RAQMS N O3 Forecast: July 22, 2004 RAQMS/AIRNOW EPA AIRNow Peak AQI-Ozone July 22, 2004

9 Moderate PM2.5 AQI on July 20, Unhealthy for sensitive groups in Great Lakes on 21 st then SE-NE by July 22, EPA AIRNow PM25 AQI: July 18- July 22, 2004

10 MODIS AOD July 18, 2004 MODIS Aerosol Optical Depth: July 18- July 22, 2004 MODIS AOD July 19, 2004 MODIS AOD July 20, 2004 Smoke from Alaskan Forest Fires MODIS Data Gap MODIS AOD July 21, 2004 MODIS AOD July 22, 2004 Link between Alaskan smoke and US AQ?

11 RAQMS N Average Boundary Layer Carbonaceous (BC+OC) Aerosol: July 18-July 22, 2004 Total Column Carbon Aerosol July 18, 2004 BL Column Carbon Aerosol July 19, 2004 RAQMS N regional Aerosol simulation: Same Dynamics as chemical simulation GOCART Aerosol Module GOCART background climatological IC/BC MODIS BC+OC & SO4 perturbations added above BL at 18Z July 18, 2004 BL Column Carbon Aerosol July 20, 2004 BL Column Carbon Aerosol July 21, 2004 BL Column Carbon Aerosol July 22, 2004

12 Verification of Surface RAQMS N Aerosol Forecast: July 22, 2004 RAQMS/AIRNOW EPA AIRNow Peak AQI-Ozone July 22, 2004

13 High Resolution Dynamics Limb Sounder (HIRDLS) limb scans in the vertical at multiple azimuth angles, measures infrared emissions in 21 channels ranging from 6.12 mm to mm. Microwave Limb Sounder (MLS) 5 microwave channels (118, 190, 240, 640 GHz, and 2.5THz Ability to see through upper tropospheric clouds NASA Earth Observing System (EOS) Aura Satellite Ozone Monitoring Instrument (OMI) hyperspectral (740 wavelength bands)imaging solar backscatter (visible and ultraviolet) radiometer Large swath large provides global coverage in 14 orbits (1 day) at 13 x 24 km Tropospheric Emission Spectrometer (TES) high-resolution infrared-imaging Fourier transform spectrometer capability to make both limb and nadir observations. Each of the Auras instrument team's Algorithm Theoretical Basis Documents (ATBD) are now available after having gone through peer review. They can be found at:

14 Conclusions: July 22 nd 2004 PM2.5 AQI over the SE and NE US was strongly influenced and O3 AQI was enhanced by entrainment of carbonaceous aerosols, O3, and O3 precusors from the Alaskan Fires.

15 Extra Figures

16 Verification of RAQMS Total Column O3 Analysis: July 2004 RAQMS/EPTOMS Partial TOMS coverage NH mid-latitude: zonal mean errors are +/- 2DU RMS errors are ~3% anomoly correlations are >0.8 Tropics: zonal mean subtropical low bias of 5DU RMS errors are ~1-2% anomoly correlations are ~0.6

17 Verification of RAQMS 800mb O3 Forecast: July 2004 RAQMS Analysis/48hr Forecast

18 Verification of Surface RAQMS O3 Analysis: July 2004 RAQMS/AIRNOW Good agreement (r>0.6, daytime biases <10ppbv) in SE, NE, Midwestern US associated with strong synoptic forcing of regional pollution events. Largest errors in Ohio River valley which shows high (>20ppbv) daytime biases due to neglect of clouds in photolysis rate calculations and low (<0.0) correlations due to weak synoptic forcing of local emissions

19 RAQMS Surface O3 Timeseries: July 2004 RAQMS/AIRNOW Best Case: relatively cloud free strong synoptic forcing Worst Case: Frequent cloudiness Low synoptic variability Regional emission source

20 NASA Air Quality Applications* Goal: Improved capability to Air Quality managers to assess, plan & implement sound-science, emissions control strategies, policy, & air quality forecasts. The primary partners for the Air Quality Management program are the US Environmental Protection Agency (EPA) and the National Oceanic and Atmospheric Administration (NOAA). *From NASA Earth Science Enterprise Applications Plan

21 RAQMS NMHC Treatment Explicit treatment of C 2 H 6 (ethane), C 2 H 4 (ethene) and CH 3 OH (methanol) oxidation [Sander et al., 2003]. C 3 H 8 (propane) is handled semi-explicitly. C 4 and larger alkanes and C 3 and larger alkenes are lumped via a carbon-bond approach [Zaveri and Peters, 1999] which accounts for long-lived species and their intermediates based on the Carbon Bond Mechanism IV [Gery et al., 1989]. Isoprene is modeled after the Carter 4-product mechanism as modified for RADM2. July, Med O3, High NOx 10-day diurnal equilibrium runs with/without NMHC conducted as part of the NASA Global Modeling Initiative (GMI) unified chemistry development. GMI Harvard mechanism [Bey et al., 2001] with Gear solver for 80 species (all transported in GMI) LaRC Run Versions Standard Revised 1: Remove NO3 + peroxy radical rxns Revised 2: Revised Peroxide oxidation branching matched to GMI Organic nitrate production matched to GMI RO2 + NO branching matched to GMI

22 RAQMS unified (strat/trop) chemistry (55 species/families explicitly transported, 86 calculated, PCE assumptions for fast species) 1) Ox 2) Noy 3) Cly 4) Bry 5) HNO3 6) N2O5 7) H2O2 8) HCl 9) ClONO2 10) OClO 11) N2O 12) CFCl3 (F11) 13) CF2Cl2 (F12) 14) CCl4 15) CH3Cl 16) CH3CCl3 (MTCFM) 17) CH3Br 18) CF3Br (H1301) 19) CF2ClBr (H1211) 20) HF 21) CFClO 22) CF2O 23) CH4 24) HNO4 25) HOCl 26) H2O 27) NO3 28) NO2 29) CH2O 30) CH3OOH 31) CO 32) HBr 33) BrONO2 34) HOBr 35) BrCl 36) Cl2 Stratosphere+CH4&CO oxidation 37) C2H6 (ethane, 2C) 38) ALD2 (acetaldehyde+higher group, 2C) 39) ETHOOH (ethyl hydrogen peroxide, 2C) 40) PAN (2C) 41) PAR (paraffin carbon bond group, 1C) 42) ONIT (organic nitrate group, 1C) 43) AONE (acetone, 3C) 44) ROOH (C3+hydrogen peroxides group, 1C) 45) MGLY (methylglyoxal, 3C) 46) ETH (ethene, 2C) 47) XOLET (terminal olefin carbon group, 2C) 48) XOLEI (internal olefin carbon group, 2C) 49) XISOP (isoprene, 5C) 50) XISOPRD (isoprene oxidation product-long lived, 5C) 51) PROP_PAR (propane paraffin, 1C) 52) CH3OH (methanol) 53) XMVK (methyl vinyl ketone, 4C) 54) XMACR (methacrolein, 4C) 55) XMPAN (peroxymethacryloyl nitrate, 4C) NMHC Chemistry Chemical families Ox=O(1D)+O(3P)+O3+NO2+HNO3+2(NO3)+3(N2O5)+HNO4+PAN+MPAN NOy=N+NO+NO2+NO3+2(N2O5)+HNO3+HNO4+BrNO3+ClNO3+PAN+ONIT+MPAN Cly=HCl+ClONO2+ClO+2(Cl2O2)+OClO+ClO2+2(Cl2)+BrCl+HOCl+Cl Bry=HBr+BrONO2+BrO+BrCl+HOBr+Br

Challenges in the Use of Satellite Measurements for Studies of Tropospheric Ozone

Challenges in the Use of Satellite Measurements for Studies of Tropospheric Ozone Challenges in the Use of Satellite Measurements for Studies of Tropospheric Ozone Jack Fishman, John K. Creilson, Amy E. Wozniak, R. Bradley Pierce and Doreen O. Neil Atmospheric Sciences Research NASA

More information

1.2 UTILIZING MODIS SATELLITE OBSERVATIONS IN NEAR-REAL-TIME TO IMPROVE AIRNow NEXT DAY FORECAST OF FINE PARTICULATE MATTER, PM2.5

1.2 UTILIZING MODIS SATELLITE OBSERVATIONS IN NEAR-REAL-TIME TO IMPROVE AIRNow NEXT DAY FORECAST OF FINE PARTICULATE MATTER, PM2.5 1.2 UTILIZING MODIS SATELLITE OBSERVATIONS IN NEAR-REAL-TIME TO IMPROVE AIRNow NEXT DAY FORECAST OF FINE PARTICULATE MATTER, PM2.5 James Szykman*, John White US EPA, Office of Air Quality Planning and

More information

IDEA. from research to routine

IDEA. from research to routine IDEA. from research to routine A collaboration between NASA, EPA, NOAA and CIMSS Cooperative Institute for Meteorological Satellite Studies Infusing satellite Data in Environmental Applications (IDEA)

More information

2005 UPDATES TO THE CARBON BOND MECHANISM: CB05

2005 UPDATES TO THE CARBON BOND MECHANISM: CB05 2005 UPDATES TO THE CARBON BOND MECHANISM: CB05 Gary Z. Whitten, Smog Reyes Greg Yarwood, ENVIRON smogreyes@yahoo.com International Conference on Chemical Mechanisms December 6, 2006 Ackowledgements EPA:

More information

NOAA s Air Quality Forecasting Activities. Steve Fine NOAA Air Quality Program

NOAA s Air Quality Forecasting Activities. Steve Fine NOAA Air Quality Program NOAA s Air Quality Forecasting Activities Steve Fine NOAA Air Quality Program Introduction Planned Capabilities Initial: 1-day 1 forecast guidance for ozone Develop and validate in Northeastern US September,

More information

Tropospheric OH chemistry

Tropospheric OH chemistry Tropospheric OH chemistry CO Oxidation mechanism: CO + OH CO 2 + H, H + O 2 + M HO 2 + M, HO 2 + NO OH + NO 2 NO 2 + hν (+O 2 ) NO + O 3 Initiation step Propagation Net: CO + 2 O 2 CO 2 + O 3 HO 2 + HO

More information

The Transition of Atmospheric Infrared Sounder Total Ozone Products to Operations

The Transition of Atmospheric Infrared Sounder Total Ozone Products to Operations The Transition of Atmospheric Infrared Sounder Total Ozone Products to Operations Emily Berndt 1, Bradley Zavodsky 2, Gary Jedlovec 2 1 NASA Postdoctoral Program Marshall Space Flight Center, Huntsville,

More information

History of Aerosol Remote Sensing. Mark Smithgall Maria Zatko 597K Spring 2009

History of Aerosol Remote Sensing. Mark Smithgall Maria Zatko 597K Spring 2009 History of Aerosol Remote Sensing Mark Smithgall Maria Zatko 597K Spring 2009 Aerosol Sources Anthropogenic Biological decomposition from fertilizer and sewage treatment (ex. ammonium) Combustion of fossil

More information

Application of Aura/OMI PBL SO 2 product for estimating SO 2 emissions and future enhancements from new satellite missions

Application of Aura/OMI PBL SO 2 product for estimating SO 2 emissions and future enhancements from new satellite missions Application of Aura/OMI PBL SO 2 product for estimating SO 2 emissions and future enhancements from new satellite missions 1 N. Krotkov, 2 V. Fioletov, 3,1 K. Yang, 4,1 Can Li, 3 R. Dickerson & Aura/OMI

More information

ACE-FTS observations of short-lived reactive species in the UTLS

ACE-FTS observations of short-lived reactive species in the UTLS ACE-FTS observations of short-lived reactive species in the UTLS Mijeong Park 1, Bill Randel 1, Louisa Emmons 1, Shawn Honomichl 1, Peter Bernath 2, Kaley Walker 2, and Chris Boone 2 1 ACOM/NCAR and 2

More information

Lecture 4b: Meteorological Satellites and Instruments. Acknowledgement: Dr. S. Kidder at Colorado State Univ.

Lecture 4b: Meteorological Satellites and Instruments. Acknowledgement: Dr. S. Kidder at Colorado State Univ. Lecture 4b: Meteorological Satellites and Instruments Acknowledgement: Dr. S. Kidder at Colorado State Univ. US Geostationary satellites - GOES (Geostationary Operational Environmental Satellites) US

More information

Improving techniques for satellite-based constraints on the lightning parameterization in a global chemical transport model

Improving techniques for satellite-based constraints on the lightning parameterization in a global chemical transport model Improving techniques for satellite-based constraints on the lightning parameterization in a global chemical transport model Murray, Lee T., D. J. Jacob, J. A. Logan Harvard School of Engineering and Applied

More information

Data Assimilation for Tropospheric CO. Avelino F. Arellano, Jr. Atmospheric Chemistry Division National Center for Atmospheric Research

Data Assimilation for Tropospheric CO. Avelino F. Arellano, Jr. Atmospheric Chemistry Division National Center for Atmospheric Research Data Assimilation for Tropospheric CO Avelino F. Arellano, Jr. Atmospheric Chemistry Division National Center for Atmospheric Research Caveat: Illustrative rather than quantitative, applied rather than

More information

The Regional Atmospheric Chemistry Mechanism, version 2 (RACM2)

The Regional Atmospheric Chemistry Mechanism, version 2 (RACM2) The Regional Atmospheric Chemistry Mechanism, version 2 (RACM2) William R. Stockwell 1,2 and Wendy S. Goliff 2 1 Department of Chemistry, Howard University 2 Division of Atmospheric Sciences, Desert Research

More information

Assimilation of Chemical Data from NASA s EOS Instruments: Experiences from the GMAO Thoughts for planning

Assimilation of Chemical Data from NASA s EOS Instruments: Experiences from the GMAO Thoughts for planning Assimilation of Chemical Data from NASA s EOS Instruments: Experiences from the GMAO Thoughts for planning Steven Pawson, Ivanka Stajner, Andrew Tangborn, Krzysztof Wargan of NASA s Global Modeling and

More information

Conditions of the Simulations

Conditions of the Simulations Conditions of the Simulations Location: 44.4N, 73.9W, z = 1.5 km, Whiteface Mountain (WFM) summit Start time: 1730 (5:30 pm) local time September 17, 2016 End time: 1500 (3 pm) local time September 18,

More information

REVISION OF THE STATEMENT OF GUIDANCE FOR GLOBAL NUMERICAL WEATHER PREDICTION. (Submitted by Dr. J. Eyre)

REVISION OF THE STATEMENT OF GUIDANCE FOR GLOBAL NUMERICAL WEATHER PREDICTION. (Submitted by Dr. J. Eyre) WORLD METEOROLOGICAL ORGANIZATION Distr.: RESTRICTED CBS/OPAG-IOS (ODRRGOS-5)/Doc.5, Add.5 (11.VI.2002) COMMISSION FOR BASIC SYSTEMS OPEN PROGRAMME AREA GROUP ON INTEGRATED OBSERVING SYSTEMS ITEM: 4 EXPERT

More information

Global and Regional Modeling

Global and Regional Modeling Global and Regional Modeling Pius Lee NOAA Air Resources Lab (ARL) with contributions from: NOAA ARL: Daniel Tong, Li Pan, Youhua Tang, Barry Baker NOAA National Centers for Environmental Prediction: Jeff

More information

Target molecules and expected quality

Target molecules and expected quality 6 Validation Plan 6.1 JEM/SMILES measurements 6.2 Basic strategy 6.3 Validation for O 3, HCl and ClO 6.4 Validation for BrO and HNO 3 6.5 Validation for other species 6.6 Collaboration for validation 6.7

More information

P7.14 Cloud optical depth from UW-NMS and GEOS-DAS and comparisons with MODIS and ISCCP satellite observations

P7.14 Cloud optical depth from UW-NMS and GEOS-DAS and comparisons with MODIS and ISCCP satellite observations P7.14 Cloud optical depth from UW-NMS and GEOS-DAS and comparisons with MODIS and ISCCP satellite observations Hongyu Liu 1*, Robert B. Pierce 2, James H. Crawford 2, Peter Norris 3,4, Chieko Kittaka 5,

More information

Long range dust transport and its impact on US air quality

Long range dust transport and its impact on US air quality Long range dust transport and its impact on US air quality Sarah Lu 1, Youhua Tang 1, Ho Chun Huang 1, Jeff McQueen 1, Arlindo da Silva 2, Mian Chin 2, Marina Tsidulko 1, Jianping Huang 1 1 : NOAA NCEP

More information

Evaluation of lower/middle tropospheric ozone from air quality models using TES and ozonesondes

Evaluation of lower/middle tropospheric ozone from air quality models using TES and ozonesondes Evaluation of lower/middle tropospheric ozone from air quality models using TES and ozonesondes Greg Osterman, Jessica Neu, Annmarie Eldering, Jeff McQueen, Youhua Tang, Rob Pinder Air Quality Applied

More information

Aircraft Observations of the Lower Atmosphere and Surface Exchange Processes. Jennifer Murphy Department of Chemistry, University of Toronto

Aircraft Observations of the Lower Atmosphere and Surface Exchange Processes. Jennifer Murphy Department of Chemistry, University of Toronto Aircraft Observations of the Lower Atmosphere and Surface Exchange Processes Jennifer Murphy Department of Chemistry, University of Toronto Outline Results from BAe 146 during AMMA Aircraft observations

More information

Science Results Based on Aura OMI-MLS Measurements of Tropospheric Ozone and Other Trace Gases

Science Results Based on Aura OMI-MLS Measurements of Tropospheric Ozone and Other Trace Gases Science Results Based on Aura OMI-MLS Measurements of Tropospheric Ozone and Other Trace Gases J. R. Ziemke Main Contributors: P. K. Bhartia, S. Chandra, B. N. Duncan, L. Froidevaux, J. Joiner, J. Kar,

More information

Review of the SAPRC-16 Chemical Mechanism and Comparison with the Regional Atmospheric Chemistry Mechanism, Version-2

Review of the SAPRC-16 Chemical Mechanism and Comparison with the Regional Atmospheric Chemistry Mechanism, Version-2 VOC O 3 NO NO NO 2 O 3 NO 2 Review of the SAPRC-16 Chemical Mechanism and Comparison with the Regional Atmospheric Chemistry Mechanism, Version-2 NO 2 William R. Stockwell a, Emily Saunders b, Rosa Fitzgerald

More information

The Odin/OSIRIS time series from 2001 to now

The Odin/OSIRIS time series from 2001 to now The Odin/OSIRIS time series from 21 to now SPARC/IOC/WMO-IGACO workshop on Past Changes in the Vertical Distribution of Ozone Geneva, January 25-27 211 The Atmosphere as Seen from Odin Bright Dim.5 º The

More information

The Copernicus Sentinel-5 Mission: Daily Global Data for Air Quality, Climate and Stratospheric Ozone Applications

The Copernicus Sentinel-5 Mission: Daily Global Data for Air Quality, Climate and Stratospheric Ozone Applications SENTINEL-5 The Copernicus Sentinel-5 Mission: Daily Global Data for Air Quality, Climate and Stratospheric Ozone Applications Yasjka Meijer RHEA for ESA, Noordwijk, NL 15/04/2016 Co-Authors: Jörg Langen,

More information

Radio Frequency Earth Science

Radio Frequency Earth Science Radio Frequency Earth Science Overview for Committee On Radio Frequency (CORF) National Academy of Science National Research Council April 27, 2005 Bill.Watson@NASA.Gov Program Executive for Ground Networks

More information

Potential sources of a priori ozone profiles for TEMPO

Potential sources of a priori ozone profiles for TEMPO Potential sources of a priori ozone profiles for TEMPO Matthew S. Johnson NASA Ames Research Center http://tempo.si.edu/overview.html Harvard-Smithsonian Center for Astrophysics TEMPO Science Team Meeting

More information

Satellite Constraints on Arctic-region Airborne Particles Ralph Kahn NASA Goddard Space Flight Center

Satellite Constraints on Arctic-region Airborne Particles Ralph Kahn NASA Goddard Space Flight Center Satellite Constraints on Arctic-region Airborne Particles Ralph Kahn NASA Goddard Space Flight Center Sea of Okhotsk, MODIS image Feb. 6, 2007, NASA Earth Observatory Arctic Aerosol Remote Sensing Overview

More information

CMA Consideration on early-morning orbit satellite

CMA Consideration on early-morning orbit satellite CMA Consideration on early-morning orbit satellite National Satellite Meteorological Center,CMA Yang Jun CGMS 40 in Lugano, 5-9 Nov., 2012 Outline Background Gap analysis on the sounding data coverage

More information

MEASURING TRACE GAS PROFILES FROM SPACE

MEASURING TRACE GAS PROFILES FROM SPACE MEASURING TRACE GAS PROFILES FROM SPACE Caroline Nowlan Atomic and Molecular Physics Division Harvard-Smithsonian Center for Astrophysics Collaborators: Kelly Chance, Xiong Liu, Gonzalo Gonzalez Abad,

More information

McIDAS support of Suomi-NPP /JPSS and GOES-R L2

McIDAS support of Suomi-NPP /JPSS and GOES-R L2 McIDAS support of Suomi-NPP /JPSS and GOES-R L2 William Straka III 1 Tommy Jasmin 1, Bob Carp 1 1 Cooperative Institute for Meteorological Satellite Studies, Space Science and Engineering Center, University

More information

Canadian TEMPO-related Activities

Canadian TEMPO-related Activities Canadian TEMPO-related Activities Chris McLinden Air Quality Research Division, Environment Canada 3 rd TEMPO Science Team Meeting Huntsville, AL 27-28 May 2015 Themes Chemical Data Assimilation Strat-trop

More information

Aura Microwave Limb Sounder (MLS) ozone profile data record characteristics, quality and applications

Aura Microwave Limb Sounder (MLS) ozone profile data record characteristics, quality and applications Aura Microwave Limb Sounder (MLS) ozone profile data record characteristics, quality and applications A presentation for the 2016 meeting of the Committee on Earth Observation Satellites (COES) Atmospheric

More information

The Probabilistic Risk Assessment of the CloudSat Profiling Radar

The Probabilistic Risk Assessment of the CloudSat Profiling Radar The Probabilistic Risk Assessment of the CloudSat Profiling Radar Todd Paulos, Alejo Engineering, Simi Valley, CA John Klohoker,,, Pasadena, CA May 2008 What is CloudSat? Launched on April 28, 2006 with

More information

Relationships between the North Atlantic Oscillation and isentropic water vapor transport into the lower stratosphere

Relationships between the North Atlantic Oscillation and isentropic water vapor transport into the lower stratosphere 1/18 Relationships between the North Atlantic Oscillation and isentropic water vapor transport into the lower stratosphere Jonathon Wright and Seok-Woo Son Department of Applied Physics & Applied Mathematics

More information

Transport of Asian ozone pollution into surface air over the western U.S. in spring. Meiyun Lin

Transport of Asian ozone pollution into surface air over the western U.S. in spring. Meiyun Lin HTAP, NASA JPL, 2/2/2012 Transport of Asian ozone pollution into surface air over the western U.S. in spring Meiyun Lin Lin, M., A. M. Fiore, L. W. Horowitz, O. R. Cooper, V. Naik, J. S. Holloway, B. J.

More information

POLARCAT Model Intercomparison Project (POLMIP)

POLARCAT Model Intercomparison Project (POLMIP) Institute for Climate and Atmospheric Science UNIVERSITY OF LEEDS POLARCAT Model Intercomparison Project (POLMIP) S.R. Arnold 1,2, L.K. Emmons 2, S.A. Monks 1, K.S. Law 3, S. Tilmes 2, S. Turquety 4 J.

More information

NOAA-EPA s s U.S. National Air Quality Forecast Capability

NOAA-EPA s s U.S. National Air Quality Forecast Capability NOAA-EPA s s U.S. National Air Quality Forecast Capability May 10, 2006 Paula M. Davidson 1, Nelson Seaman 1, Jeff McQueen 1, Rohit Mathur 1,2, Chet Wayland 2 1 National Oceanic and Atmospheric Administration

More information

Future NASA Atmospheric Missions: Adding to the A-Train Calipso OCO NPP CloudSat Glory

Future NASA Atmospheric Missions: Adding to the A-Train Calipso OCO NPP CloudSat Glory Future NASA Atmospheric Missions: Adding to the A-Train James Gleason NASA Goddard Space Flight Center, Mail Code 613.3, Greenbelt, MD 20771, United States Abstract Following on the successful launch of

More information

Ozone production in the upper troposphere and the influence of aircraft during SONEX: approach of NO x -saturated conditions

Ozone production in the upper troposphere and the influence of aircraft during SONEX: approach of NO x -saturated conditions Ozone production in the upper troposphere and the influence of aircraft during SONEX: approach of NO x -saturated conditions The Harvard community has made this article openly available. Please share how

More information

Community Input to the NRC Decadal Survey from the NCAR Workshop on Air Quality Remote Sensing From Space: Defining an Optimum Observing Strategy

Community Input to the NRC Decadal Survey from the NCAR Workshop on Air Quality Remote Sensing From Space: Defining an Optimum Observing Strategy Community Input to the NRC Decadal Survey from the NCAR Workshop on Air Quality Remote Sensing From Space: Defining an Optimum Observing Strategy Submitted by the Workshop Organizing Committee (David Edwards,

More information

Introducing VIIRS Aerosol Products

Introducing VIIRS Aerosol Products 1 Introducing VIIRS Aerosol Products Shobha Kondragunta NOAA/NESDIS Center for Satellite Applications and Research VIIRS Aerosol Cal/Val Team 2 Name Organization Major Task Kurt F. Brueske IIS/Raytheon

More information

Launched on May 4, K. Hokusai

Launched on May 4, K. Hokusai CITES-2009 CITES-2009 CONFERENCE CONFERENCE KRASNOYARSK, KRASNOYARSK, Russia Russia OBSERVING THE EARTH FROM SPACE AS AN INTEGRATED SYSTEM: THE USA/F* A-TRAIN CONCEPT G. BEGNI, D. RENAUT (CNES CNES), D.

More information

The CEOS Atmospheric Composition Constellation (ACC) An Example of an Integrated Earth Observing System for GEOSS

The CEOS Atmospheric Composition Constellation (ACC) An Example of an Integrated Earth Observing System for GEOSS The CEOS Atmospheric Composition Constellation (ACC) An Example of an Integrated Earth Observing System for GEOSS Presentation Authors: E. Hilsenrath NASA, C. Zehner ESA, J. Langen ESA, J. Fishman NASA

More information

CAPACITY* OPERATIONAL ATMOSPHERIC CHEMISTRY MONITORING MISSIONS

CAPACITY* OPERATIONAL ATMOSPHERIC CHEMISTRY MONITORING MISSIONS CAPACITY* OPERATIONAL ATMOSPHERIC CHEMISTRY MONITORING MISSIONS 2010-2020 Michiel van Weele Atmospheric Composition Division, Climate Department KNMI The Netherlands * Composition of the Atmosphere: Progress

More information

Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm

Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm -Aerosol and tropospheric ozone retrieval method using continuous UV spectra- Atmospheric composition measurements from satellites are

More information

The Orbiting Carbon Observatory (OCO)

The Orbiting Carbon Observatory (OCO) GEMS 2006 Assembly The Orbiting Carbon Observatory (OCO) http://oco.jpl.nasa.gov David Crisp, OCO PI (JPL/Caltech) February 2006 1 of 13, OCO Dec 2005 Page 1 The Orbiting Carbon Observatory (OCO) OCO will

More information

The Challenge of. Guy Brasseur

The Challenge of. Guy Brasseur The Challenge of Monitoring and Predicting Chemical Weather Guy Brasseur Introduction: What is Chemical Weather? What is Chemical Weather? Local, regional, and global distributions of important trace gases

More information

Lower Troposphere Remote Sensing Activities at UMBC

Lower Troposphere Remote Sensing Activities at UMBC Lower Troposphere Remote Sensing Activities at UMBC Ruben Delgado, Belay Demoz Atmospheric Lidar Group Joint Center for Earth Systems Technology University of Maryland, Baltimore County Ad-Hoc Mixing Layer

More information

Methane Sensing Flight of Scanning HIS over Hutchinson, KS, 31 March 2001

Methane Sensing Flight of Scanning HIS over Hutchinson, KS, 31 March 2001 Methane Sensing Flight of Scanning HIS over Hutchinson, KS, 31 March 2001 Hank Revercomb, Chris Moeller, Bob Knuteson, Dave Tobin, Ben Howell University of Wisconsin, Space Science and Engineering Center

More information

Monitoring Air Pollution from Space

Monitoring Air Pollution from Space Monitoring Air Pollution from Space Media Regional Training Workshop 16 th Nov 20 th Nov 2015 Shreta Ghimire International Centre for Integrated Mountain Development Kathmandu, Nepal Why do we study air

More information

APPENDIX 2 OVERVIEW OF THE GLOBAL PRECIPITATION MEASUREMENT (GPM) AND THE TROPICAL RAINFALL MEASURING MISSION (TRMM) 2-1

APPENDIX 2 OVERVIEW OF THE GLOBAL PRECIPITATION MEASUREMENT (GPM) AND THE TROPICAL RAINFALL MEASURING MISSION (TRMM) 2-1 APPENDIX 2 OVERVIEW OF THE GLOBAL PRECIPITATION MEASUREMENT (GPM) AND THE TROPICAL RAINFALL MEASURING MISSION (TRMM) 2-1 1. Introduction Precipitation is one of most important environmental parameters.

More information

Regional Air Quality Modeling System (RAQMS) predictions of the tropospheric ozone budget over east Asia

Regional Air Quality Modeling System (RAQMS) predictions of the tropospheric ozone budget over east Asia JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 108, NO. D21, 8825, doi:10.1029/2002jd003176, 2003 Regional Air Quality Modeling System (RAQMS) predictions of the tropospheric ozone budget over east Asia R. B. Pierce,

More information

PROBLEMS Sources of CO Sources of tropospheric ozone

PROBLEMS Sources of CO Sources of tropospheric ozone 220 PROBLEMS 11. 1 Sources of CO The two principal sources of CO to the atmosphere are oxidation of CH 4 and combustion. Mean rate constants for oxidation of CH 4 and CO by OH in the troposphere are k

More information

Spring to summer northward migration of high O 3 over the western North Atlantic

Spring to summer northward migration of high O 3 over the western North Atlantic Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 35,, doi:10.1029/2007gl032276, 2008 Spring to summer northward migration of high O 3 over the western North Atlantic Yunsoo Choi, 1,2 Yuhang

More information

F O U N D A T I O N A L C O U R S E

F O U N D A T I O N A L C O U R S E F O U N D A T I O N A L C O U R S E December 6, 2018 Satellite Foundational Course for JPSS (SatFC-J) F O U N D A T I O N A L C O U R S E Introduction to Microwave Remote Sensing (with a focus on passive

More information

A New Mechanism for Regional Atmospheric Chemistry Modelling. A contribution to subproject CMD. W.R. Stockwell', F Kirchner^ M. Kuhn' and S.

A New Mechanism for Regional Atmospheric Chemistry Modelling. A contribution to subproject CMD. W.R. Stockwell', F Kirchner^ M. Kuhn' and S. A New Mechanism for Regional Atmospheric Chemistry Modelling A contribution to subproject CMD W.R. Stockwell', F Kirchner^ M. Kuhn' and S. Seefeld* *Fraunhofer Institute for Atmospheric Environmental Research

More information

Emission Limb sounders (MIPAS)

Emission Limb sounders (MIPAS) Emission Limb sounders (MIPAS) Bruno Carli ENVISAT ATMOSPHERIC PACKAGE MIPAS Michelson Interferometric Passive Atmospheric Sounder GOMOS Global Ozone Monitoring by Occultation of Stars SCIAMACHY Scanning

More information

Contributors: Arlene Fiore 1, Lee Murray 1, Luke Valin 1, Olivia Clifton 1, Jean Guo 1 Author: Melissa Seto 1 Analysis of Wisconsin 2007 High-Ozone event Section 1A: Can satellite NO 2 columns inform us

More information

GSICS UV Sub-Group Activities

GSICS UV Sub-Group Activities GSICS UV Sub-Group Activities Rosemary Munro with contributions from NOAA, NASA and GRWG UV Subgroup Participants, in particular L. Flynn 1 CEOS Atmospheric Composition Virtual Constellation Meeting (AC-VC)

More information

Lecture 4: Meteorological Satellites and Instruments. Acknowledgement: Dr. S. Kidder at Colorado State Univ.

Lecture 4: Meteorological Satellites and Instruments. Acknowledgement: Dr. S. Kidder at Colorado State Univ. Lecture 4: Meteorological Satellites and Instruments Acknowledgement: Dr. S. Kidder at Colorado State Univ. Homework for the Spring Break: get some tangible, preliminary results for your final project.

More information

Atmospheric Measurements from Space

Atmospheric Measurements from Space Atmospheric Measurements from Space MPI Mainz Germany Thomas Wagner Satellite Group MPI Mainz Part 1: Basics Break Part 2: Applications Part 1: Basics of satellite remote sensing Why atmospheric satellite

More information

NO X emissions, isoprene oxidation pathways, and implications for surface ozone in the Southeast United States

NO X emissions, isoprene oxidation pathways, and implications for surface ozone in the Southeast United States NO X emissions, isoprene oxidation pathways, and implications for surface ozone in the Southeast United States Katherine (Katie) Travis CMAS 216: 1/26/16 Co-authors: D. J. Jacob, J. A. Fisher, P. S. Kim,

More information

Ongoing EPA efforts to evaluate modeled NO y budgets. Heather Simon, Barron Henderson, Deborah Luecken, Kristen Foley

Ongoing EPA efforts to evaluate modeled NO y budgets. Heather Simon, Barron Henderson, Deborah Luecken, Kristen Foley Ongoing EPA efforts to evaluate modeled NO y budgets Heather Simon, Barron Henderson, Deborah Luecken, Kristen Foley Literature consistent regarding reported high bias Mobile NO x over (2x) Mobile NO x

More information

Improvement of Meteorological Inputs for Air Quality Study

Improvement of Meteorological Inputs for Air Quality Study July 21, 2008 NCAR GEO Turbulance Improvement of Meteorological Inputs for Air Quality Study Fong (Fantine) Ngan Daewon W. Byun DaeGyun Lee, Soontae Kim, XiangShang Li and Peter Percell Institute for Multidimensional

More information

Air Quality Sensitivity Matrices

Air Quality Sensitivity Matrices Air Quality Sensitivity Matrices Irene C. Dedoussi and Steven R.H. Barrett A technical note by the MIT Laboratory for Aviation and the Environment Date: June 2014 Report No: LAE-2014-007-N Website: LAE.MIT.EDU

More information

CORRELATION BETWEEN ATMOSPHERIC COMPOSITION AND VERTICAL STRUCTURE AS MEASURED BY THREE GENERATIONS OF HYPERSPECTRAL SOUNDERS IN SPACE

CORRELATION BETWEEN ATMOSPHERIC COMPOSITION AND VERTICAL STRUCTURE AS MEASURED BY THREE GENERATIONS OF HYPERSPECTRAL SOUNDERS IN SPACE CORRELATION BETWEEN ATMOSPHERIC COMPOSITION AND VERTICAL STRUCTURE AS MEASURED BY THREE GENERATIONS OF HYPERSPECTRAL SOUNDERS IN SPACE Nadia Smith 1, Elisabeth Weisz 1, and Allen Huang 1 1 Space Science

More information

Retrieval Algorithm Using Super channels

Retrieval Algorithm Using Super channels Retrieval Algorithm Using Super channels Xu Liu NASA Langley Research Center, Hampton VA 23662 D. K. Zhou, A. M. Larar (NASA LaRC) W. L. Smith (HU and UW) P. Schluessel (EUMETSAT) Hank Revercomb (UW) Jonathan

More information

Projects in the Remote Sensing of Aerosols with focus on Air Quality

Projects in the Remote Sensing of Aerosols with focus on Air Quality Projects in the Remote Sensing of Aerosols with focus on Air Quality Faculty Leads Barry Gross (Satellite Remote Sensing), Fred Moshary (Lidar) Direct Supervision Post-Doc Yonghua Wu (Lidar) PhD Student

More information

The Use of Hyperspectral Infrared Radiances In Numerical Weather Prediction

The Use of Hyperspectral Infrared Radiances In Numerical Weather Prediction The Use of Hyperspectral Infrared Radiances In Numerical Weather Prediction J. Le Marshall 1, J. Jung 1, J. Derber 1, T. Zapotocny 2, W. L. Smith 3, D. Zhou 4, R. Treadon 1, S. Lord 1, M. Goldberg 1 and

More information

NOAA Report. Hal Bloom Mitch Goldberg NOAA/NESDIS

NOAA Report. Hal Bloom Mitch Goldberg NOAA/NESDIS NOAA Report Hal Bloom Mitch Goldberg NOAA/NESDIS Summary of Major Events at NESDIS (of interest to ITSC) NOAA/NASA addressing NPOESS Climate Sensors Letter of agreement signed with JAXA on GCOM interagency

More information

Measurements of Ozone. Why is Ozone Important?

Measurements of Ozone. Why is Ozone Important? Anthropogenic Climate Changes CO 2 CFC CH 4 Human production of freons (CFCs) Ozone Hole Depletion Human production of CO2 and CH4 Global Warming Human change of land use Deforestation (from Earth s Climate:

More information

Overview and quality of global observations of middle atmospheric water vapour by the Odin satellite

Overview and quality of global observations of middle atmospheric water vapour by the Odin satellite Overview and quality of global observations of middle atmospheric water vapour by the Odin satellite J. Urban*, D.P. Murtagh*, M. Ekström,, P. Eriksson*, C. Sanchez*, A. Jones,* S. Lossow **, Y. Kasai

More information

Remote sensing of ice clouds

Remote sensing of ice clouds Remote sensing of ice clouds Carlos Jimenez LERMA, Observatoire de Paris, France GDR microondes, Paris, 09/09/2008 Outline : ice clouds and the climate system : VIS-NIR, IR, mm/sub-mm, active 3. Observing

More information

Reduced Atmospheric Chemistry Models by Sensitivity Matrix Approach

Reduced Atmospheric Chemistry Models by Sensitivity Matrix Approach Reduced Atmospheric Chemistry Models by Sensitivity Matrix Approach Short Communication Adrian Sandu Department of Computer Science, Michigan Technological University, Houghton, MI 49931. E-mail: asandu@mtu.edu.

More information

ERA-CLIM: Developing reanalyses of the coupled climate system

ERA-CLIM: Developing reanalyses of the coupled climate system ERA-CLIM: Developing reanalyses of the coupled climate system Dick Dee Acknowledgements: Reanalysis team and many others at ECMWF, ERA-CLIM project partners at Met Office, Météo France, EUMETSAT, Un. Bern,

More information

2. Sketch a plot of R vs. z. Comment on the shape. Explain physically why R(z) has a maximum in the atmospheric column.

2. Sketch a plot of R vs. z. Comment on the shape. Explain physically why R(z) has a maximum in the atmospheric column. 190 PROBLEMS 10. 1 Shape of the ozone layer Consider a beam of solar radiation of wavelength λ propagating downward in the vertical direction with an actinic flux I at the top of the atmosphere. Assume

More information

TIROS-1. 1) National Aeronautics and Space Administration 2) National Oceanic and Atmospheric Administration

TIROS-1. 1) National Aeronautics and Space Administration 2) National Oceanic and Atmospheric Administration NOAA TIROS-1 NASA 1) National Aeronautics and Space Administration 2) National Oceanic and Atmospheric Administration Sputnik Sputlink Aerobee Aerobee TIROS-1 TIROS-1 1) Spiral swirl SeaWIFS Orb View2

More information

Aerosol optical properties assimilation from low earth orbiting and geostationary satellites: Impacts on regional forecasts

Aerosol optical properties assimilation from low earth orbiting and geostationary satellites: Impacts on regional forecasts Aerosol optical properties assimilation from low earth orbiting and geostationary satellites: Impacts on regional forecasts Pablo Saide, Greg Carmichael, University of Iowa, Center for Global and Regional

More information

Natural and anthropogenic aerosols in the UTLS: Sources and role of Asian monsoon transport

Natural and anthropogenic aerosols in the UTLS: Sources and role of Asian monsoon transport Natural and anthropogenic aerosols in the UTLS: Sources and role of Asian monsoon transport Mian Chin, NASA Goddard Space Flight Center + Tom Kucsera, Thomas Diehl, Huisheng Bian, Valentina Aquila, Qian

More information

The Development of Hyperspectral Infrared Water Vapor Radiance Assimilation Techniques in the NCEP Global Forecast System

The Development of Hyperspectral Infrared Water Vapor Radiance Assimilation Techniques in the NCEP Global Forecast System The Development of Hyperspectral Infrared Water Vapor Radiance Assimilation Techniques in the NCEP Global Forecast System James A. Jung 1, John F. Le Marshall 2, Lars Peter Riishojgaard 3, and John C.

More information

Polar vortex dynamics observed by means of stratospheric and mesospheric CO ground-based measurements carried out at Thule (76.5 N, 68.

Polar vortex dynamics observed by means of stratospheric and mesospheric CO ground-based measurements carried out at Thule (76.5 N, 68. Polar vortex dynamics observed by means of stratospheric and mesospheric CO ground-based measurements carried out at Thule (76.5 N, 68.8 W), Greenland I.Fiorucci 1, G. Muscari 1, P. P. Bertagnolio 1, C.

More information

Radiative Transfer Model based Bias Correction in INSAT-3D/3DR Thermal Observations to Improve Sea Surface Temperature Retrieval

Radiative Transfer Model based Bias Correction in INSAT-3D/3DR Thermal Observations to Improve Sea Surface Temperature Retrieval Radiative Transfer Model based Bias Correction in INSAT-3D/3DR Thermal Observations to Improve Sea Surface Temperature Retrieval Rishi K Gangwar, Buddhi P Jangid, and Pradeep K Thapliyal Space Applications

More information

Joint Polar Satellite System (JPSS)

Joint Polar Satellite System (JPSS) Joint Polar Satellite System (JPSS) United States Plans for Continuity of Operational Polar Weather and Environmental Observations Harry Cikanek, Director Mitch Goldberg, Program Scientist Joint Polar

More information

Lecture 19: Operational Remote Sensing in Visible, IR, and Microwave Channels

Lecture 19: Operational Remote Sensing in Visible, IR, and Microwave Channels MET 4994 Remote Sensing: Radar and Satellite Meteorology MET 5994 Remote Sensing in Meteorology Lecture 19: Operational Remote Sensing in Visible, IR, and Microwave Channels Before you use data from any

More information

Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data

Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data Kohei Arai 1 Graduate School of Science and Engineering Saga University Saga City, Japan Abstract

More information

The Sentinel-4 Mission and its Atmospheric Composition Products

The Sentinel-4 Mission and its Atmospheric Composition Products This image cannot currently be displayed. The Sentinel-4 Mission and its Atmospheric Composition Products Ben Veihelmann, Yasjka Meijer, Jörg Langen, Paul Ingmann, Rob Koopman, Norrie Wright, Grégory Bazalgette

More information

HTAP-2 analysis for the Arctic

HTAP-2 analysis for the Arctic Institute for Climate and Atmospheric Science SCHOOL OF EARTH AND ENVIRONMENT Photo: Chuck Brock, NOAA. HTAP-2 analysis for the Arctic Steve R. Arnold 1, Louisa K. Emmons 2, Kathy S. Law 3, Sarah A. Monks

More information

GEMS. Nimbus 4, Nimbus7, NOAA-9, NOAA11, NOAA16, NOAA17

GEMS. Nimbus 4, Nimbus7, NOAA-9, NOAA11, NOAA16, NOAA17 GEMS (Geostationary Environment Monitoring Spectrometer) SBUV,BUV TOMS (50x50km 2 ) Nimbus7, METEOR-3, ADEOS, Earth-probe GOME1/2 (40x40km 2 ) ERS-2 SCIAMACHY (30x60km 2 ) OMI (13x24km2) OMPS (50x50km

More information

PHEOS - Weather, Climate, Air Quality

PHEOS - Weather, Climate, Air Quality Aerosol & cloud remote sensing over the Arctic : perspectives for the PHEMOS and meteorological imager payloads on the PCW mission Norm O Neill, Auromeet Saha, U. de Sherbrooke Chris E. Sioris, Jack McConnell,

More information

Lecture 15 Antarctic Ozone Hole ATOC/CHEM 5151

Lecture 15 Antarctic Ozone Hole ATOC/CHEM 5151 Lecture 15 Antarctic Ozone Hole ATOC/CHEM 5151 1 Ozone Hole Theories 1. Solar activity: During periods of high solar activity, energetic particles are deposited high in the atmosphere, creating NOx. Perhaps

More information

TEN YEARS OF NO 2 COMPARISONS BETWEEN GROUND-BASED SAOZ AND SATELLITE INSTRUMENTS (GOME, SCIAMACHY, OMI)

TEN YEARS OF NO 2 COMPARISONS BETWEEN GROUND-BASED SAOZ AND SATELLITE INSTRUMENTS (GOME, SCIAMACHY, OMI) ABSTRACT TEN YEARS OF NO 2 COMPARISONS BETWEEN GROUND-BASED SAOZ AND SATELLITE INSTRUMENTS (GOME, SCIAMACHY, OMI) Dmitry Ionov (1), Florence Goutail (1), Jean-Pierre Pommereau (1), Ariane Bazureau (1),

More information

EPS-SG Candidate Observation Missions

EPS-SG Candidate Observation Missions EPS-SG Candidate Observation Missions 3 rd Post-EPS User Consultation Workshop Peter Schlüssel Slide: 1 EPS-SG benefits to activities of NMSs Main Payload High-Resolution Infrared Sounding Microwave Sounding

More information

Vertically resolved stratospheric ozone and nitrogen dioxide measurements used for surface air quality prediction

Vertically resolved stratospheric ozone and nitrogen dioxide measurements used for surface air quality prediction Vertically resolved stratospheric ozone and nitrogen dioxide measurements used for surface air quality prediction June 12, 2015 University of Crete, Heraklion Outline 1. How we got to where we are 2. The

More information

ATM 507 Lecture 9 Text reading Section 5.7 Problem Set # 2 due Sept. 30 Next Class Tuesday, Sept. 30 Today s topics Polar Stratospheric Chemistry and the Ozone Hole, Required reading: 20 Questions and

More information

Atmospheric Profiles Over Land and Ocean from AMSU

Atmospheric Profiles Over Land and Ocean from AMSU P1.18 Atmospheric Profiles Over Land and Ocean from AMSU John M. Forsythe, Kevin M. Donofrio, Ron W. Kessler, Andrew S. Jones, Cynthia L. Combs, Phil Shott and Thomas H. Vonder Haar DoD Center for Geosciences

More information

Analyzing and Visualizing Precipitation and Soil Moisture in ArcGIS

Analyzing and Visualizing Precipitation and Soil Moisture in ArcGIS Analyzing and Visualizing Precipitation and Soil Moisture in ArcGIS Wenli Yang, Pham Long, Peisheng Zhao, Steve Kempler, and Jennifer Wei * NASA Goddard Earth Science Data and Information Services Center

More information

Peter Bernath. Old Dominion University, Norfolk, VA and University of Waterloo, Waterloo, ON

Peter Bernath. Old Dominion University, Norfolk, VA and University of Waterloo, Waterloo, ON THE ATMOSPHERIC CHEMISTRY EXPERIMENT (ACE): Greenhouse Gas Measurements of CO 2, CFCs and HFCs Peter Bernath Old Dominion University, Norfolk, VA and University of Waterloo, Waterloo, ON ACE Satellite

More information