CINDI – Profiling by Tim Hay. Read DSCD or SCD file Write SZAs, SAzs, elevations, & viewing Azs to geometry file for RT Read prescribed profiles and settings:

Slides:



Advertisements
Similar presentations
Bremen Limb Workshop Satellite group First Heidelberg SCIA Limb Results Thomas Wagner,
Advertisements

Using a Radiative Transfer Model in Conjunction with UV-MFRSR Irradiance Data for Studying Aerosols in El Paso-Juarez Airshed by Richard Medina Calderón.
IUP Heidelberg – NDACC/NORS Meeting – July Aerosol Profiling during CINDI Udo Frieß Henk Klein Baltink Katrijn Clémer Udo Frieß Hitoshi Irie Tim.
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.
Quantitative retrievals of NO 2 from GOME Lara Gunn 1, Martyn Chipperfield 1, Richard Siddans 2 and Brian Kerridge 2 School of Earth and Environment Institute.
Depolarization lidar for water cloud remote sensing 1.Background: MS and Depolaization 2.Short overview of the MC model used in this work 3.Depol-lidar.
Envisat Symposium, April 23 – 27, 2007, Montreux bremen.de SADDU Meeting, June 2008, IUP-Bremen Cloud sensitivity studies.
Constraining aerosol sources using MODIS backscattered radiances Easan Drury - G2
Institut für Umweltphysik/Fernerkundung Physik/Elektrotechnik Fachbereich 1 Retrieval of SCIAMACHY limb measurements: First Results A. Rozanov, V. Rozanov,
CPI International UV/Vis Limb Workshop Bremen, April Development of Generalized Limb Scattering Retrieval Algorithms Jerry Lumpe & Ed Cólon.
Extracting Atmospheric and Surface Information from AVIRIS Spectra Vijay Natraj, Daniel Feldman, Xun Jiang, Jack Margolis and Yuk Yung California Institute.
HiRes Usage. Outline ● Shower energy ( Size, dE/dx ) ● Atmospheric profile ( stdz76, radiosonde) ● Rayleigh Scattering ● Aerosols Model ( density, variability.
14-16 April 2003International Limb Workshop, Bremen On two potential sources of systematic error in retrievals using limb-scattered sunlight Chris A. McLinden.
A 21 F A 21 F Parameterization of Aerosol and Cirrus Cloud Effects on Reflected Sunlight Spectra Measured From Space: Application of the.
The Spectral Mapping Atmospheric David Crisp, Jet Propulsion Laboratory ABSTRACT Spectrum-resolving multiple scattering models: Can provide a reliable.
Comparison of the aerosol extinction coefficient retrieved from MAX-DOAS measurements to in-situ measurements P. Zieger 1, K. Clemer 2, S. Yilmaz 3, R.
Reconstructing the Emission Height of Volcanic SO2 from Back Trajectories: Comparison of Explosive and Effusive Eruptions Modeling trace gas transport.
Single-Scattering Stuff + petty chap 12 intro April 27-29, 2015.
Aircraft spiral on July 20, 2011 at 14 UTC Validation of GOES-R ABI Surface PM2.5 Concentrations using AIRNOW and Aircraft Data Shobha Kondragunta (NOAA),
Irie et al., Multi-component retrievals for MAX-DOAS, 2 nd CINDI workshop, Brussels, March 10-11, 2010 Multi-component vertical profile retrievals for.
Now That I Know That… What Do I Do? (Analyzing your Microtop Solar Radiometry Data)
1. The MPI MAX-DOAS inversion scheme 2. Cloud classification 3. Results: Aerosol OD: Correlation with AERONET Surface extinction: Correlation with Nephelometer.
MAXDOAS formaldehyde slant column measurements during CINDI: intercomparison and analysis improvement G. Pinardi, M. Van Roozendael, N. Abuhassan, C. Adams,
M. Van Roozendael, AMFIC Final Meeting, 23 Oct 2009, Beijing, China1 MAXDOAS measurements in Beijing M. Van Roozendael 1, K. Clémer 1, C. Fayt 1, C. Hermans.
Elena Spinei and George Mount Washington State University 1 CINDI workshop March 2010.
 Assuming only absorbing trace gas abundance and AOD are retrieved, using CO 2 absorption band alone provides a DOF ~ 1.1, which is not enough to determine.
MINI-DOAS Jochen Stutz Max Spolaor University of California Los Angeles.
Observations of Formaldehyde and Related Atmospheric Species Using Multi-Axis Spectroscopy Christopher P. Beekman and Dr. Heather C. Allen Department of.
BrO Retrievals for UV-Visible Ground-Based Measurements Cristen Adams 1, Annemarie Fraser 1, Kimberly Strong 1, Robyn Schofield 2 1 Department of Physics,
SCIAMACHY satellite validation during the field campaigns CINDI and TRANSBROM Enno Peters, Folkard Wittrock, Andreas Richter, Mark Weber and John P. Burrows.
Validation workshop, Frascati, 13 December 2002Page 1 SCIAMACHY products quality and recommendations Based on presentations and discussions during this.
Monday, Oct. 2: Clear-sky radiation; solar attenuation, Thermal nomenclature.
TEMPO Simulation and Retrieval Tools and Algorithm Testing at SAO Xiong Liu 3 rd TEMPO Science Team Meeting Huntsville, Al, May 27,
Retrieval of Ozone Profiles from GOME (and SCIAMACHY, and OMI, and GOME2 ) Roeland van Oss Ronald van der A and Johan de Haan, Robert Voors, Robert Spurr.
The Use of Optical Methods to Study Aerosols in the Paso del Norte Region Rosa M. Fitzgerald, Javier Polanco, Angel Esparza, Richard Medina Physics Department,
Optical properties Satellite observation ? T,H 2 O… From dust microphysical properties to dust hyperspectral infrared remote sensing Clémence Pierangelo.
Satellite group MPI Mainz Investigating Global Long-term Data Sets of the Atmospheric H 2 O VCD and of Cloud Properties.
© Crown copyright Met Office Radiation scheme for Earth’s atmosphere …and what might not work for exoplanets James Manners 6/12/11.
HONO retrievals in Beijing and Xianghe F. Hendrick 1, K. Clémer 1,*, C. Fayt 1, C. Hermans 1, Y. Huan 1,2, T. Vlemmix 1, P. Wang 2, and M. Van Roozendael.
Air Pollution/Environmental Technology laboratory Initial results on OMI NO 2 Validation during CINDI A contribution to the BIRA Cindi Workshop Yipin Zhou,
Plans to study horizontal NO 2 distribution Ankie Piters, Tim Vlemmix, KNMI data from: INTA, IUPB, JAMSTEC, KNMI, Leicester, NASA Objectives: –Satellite.
S5P cloud products Sebastián Gimeno García, Ronny Lutz, Diego Loyola German S5P Verification Meeting 1 Bremen, November Chart 1>
Weighting functions (Box AMFs) for Limb measurements of stratospheric trace species using 3D Monte Carlo RTM Christoph v. Friedeburg, A. Butz, F. Weidner,
C. Lerot 1, M. Koukouli 2, T. Danckaert 1, D. Balis 2, and M. Van Roozendael 1 1 BIRA-IASB, Belgium 2 LAP/AUTH, Greece S5P L2 Verification Meeting – 19-20/05/2015.
Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: Task 1: Initial trade-off:
 4-azimuth MAX-DOAS measurements in Mainz  Characterisation of the information content using 3D RTM MAXDOAS horizontal (averaging) effects MPI for Chemistry.
H 2 O retrieval from S5 NIR K. Weigel, M. Reuter, S. Noël, H. Bovensmann, and J. P. Burrows University of Bremen, Institute of Environmental Physics
Measurements of pollutants and their spatial distributions over the Los Angeles Basin Ross Cheung1,2, Olga Pikelnaya1,2, Catalina Tsai1, Jochen Stutz1,2,
Developement of exact radiative transfer methods Andreas Macke, Lüder von Bremen, Mario Schewski Institut für Meereskunde, Uni Kiel.
1 Improving SO 2 AMFs: Comparison of different approaches P. Hedelt, P. Valks, D. Loyola Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) Institut.
Ozone PEATE 2/20/20161 OMPS LP Release 2 - Status Matt DeLand (for the PEATE team) SSAI 5 December 2013.
1 Xiong Liu Harvard-Smithsonian Center for Astrophysics K.V. Chance, C.E. Sioris, R.J.D. Spurr, T.P. Kurosu, R.V. Martin, M.J. Newchurch,
MAXDOAS observations in Beijing G. Pinardi, K. Clémer, C. Hermans, C. Fayt, M. Van Roozendael BIRA-IASB Pucai Wang & Jianhui Bai IAP/CAS 24 June 2009,
Nan Feng and Sundar A. Christopher Department of Atmospheric Science
EOS-AURA Science Team Meeting September 2009, Leiden Comparison of NO 2 profiles derived from MAX-DOAS measurements and model simulations.
TEMPO Validation Capabilities Pandora NO 2 Total and tropospheric columns of NO2 from direct sun measurements -> column along a narrow cone (0.5 o ), actual.
Validation of OMI and SCIAMACHY tropospheric NO 2 columns using DANDELIONS ground-based data J. Hains 1, H. Volten 2, F. Boersma 1, F. Wittrock 3, A. Richter.
TOMS Ozone Retrieval Sensitivity to Assumption of Lambertian Cloud Surface Part 2. In-cloud Multiple Scattering Xiong Liu, 1 Mike Newchurch, 1,2 Robert.
First results of the aerosol profiling group IUP Heidelberg BIRA-IASB MPIC Mainz IUP Bremen JAMSTEC WSU KNMI NIWA Univ. Leicester PSI TNO RIVM KNMI.
Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: Initial trade-off: Height-resolved.
Stray light from the upper and lower stray light rows An update of the GDPS algorithm.
University of Oxford EUMETSAT Satellite Conference 2004 Aerosol Retrieval Algorithm for Meteosat Second Generation Sam Dean, Steven Marsh and Don Grainger.
MAX-DOAS observations of tropospheric aerosols and formaldehyde above China Tim Vlemmix Francois Hendrick Michel Van Roozendael Isabelle De Smedt Katrijn.
Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC.
Fourth TEMPO Science Team Meeting
N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R
Absolute calibration of sky radiances, colour indices and O4 DSCDs obtained from MAX-DOAS measurements T. Wagner1, S. Beirle1, S. Dörner1, M. Penning de.
Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC Height-resolved aerosol R.Siddans.
MAXDOAS horizontal (averaging) effects
M. De Graaf1,2, K. Sarna2, J. Brown3, E. Tenner2, M. Schenkels4, and D
Presentation transcript:

CINDI – Profiling by Tim Hay

Read DSCD or SCD file Write SZAs, SAzs, elevations, & viewing Azs to geometry file for RT Read prescribed profiles and settings: T, P, density profile Aerosol profile, SSA, asymmetry parameter, etc. Trace gas profiles & cross-sections Wavelengths, surface albedo, etc. Inversion routineForward model: NIMO spherical MC RT model Read geometry file, apriori profile & retrieval layers from inversion routine For each viewing elevation and direction use adjoint RT method to simultaneously simulate radiances for all solar geometries Calculate box-AMFs and DSCDs using radiances and photon path information Calculate weighting functions in terms of partial VCD perturbations of retrieval layers Read modelled DSCDs & weighting functions for whole day from NIMO The trace gas retrieval algorithm Select subset of DSCDs, modelled DSCDs and WFs for current time interval Do linear optimal estimation calculation Day finished? NoYes Save profiles file & finish

NO2 profiles from NIWA instrument – 18 th June 2009 Common retrieval settings: 200m grid – 0 to 4km apriori linear 0.3 ppb to 0.01 ppb Sa 80% of apriori Correlation length 100m Retrieval interval = 30 min Elevations: 1, 2, 4, 8, 15, 30, 90 Aerosol profiles: VIS1 for NIWA instrument VIS1 and UV1 for Bremen instruments. Surface NO2 retrieved from NIWA and Bremen instruments “Best” retrieval settings: 50m grid – 0 to 4km apriori same as for common Sa 100% of profile up to 0.5km Minimum Sa 70% of profile peak Sa 70% of profile from 0.5 – 4km Correlation length 25m

Retrieval using prescribed VIS1 aerosol extinction profile Retrieval using prescribed VIS2 aerosol extinction profile Note the effect of the higher aerosol extinction (VIS2): Higher retrieved surface NO2

NO2 profiles from NIWA instrument – 23 rd June 2009 Surface NO2 retrieved from NIWA and Bremen instruments

NO2 profiles from NIWA instrument – 24 th June 2009 Surface NO2 retrieved from NIWA and Bremen instruments

NO2 profiles from NIWA instrument – 25 th June 2009 Surface NO2 retrieved from NIWA and Bremen instruments

Note that all the surface NO2 comparisons are my retrievals. So when I show the Bremen instrument surface NO2 it is my retrieval of their measurements. My "best" retrieval settings result in higher surface NO2 because they try to put more of the NO2 in the lowest 500m (my assumed boundary layer height) than the common settings (the common settings are the ones everyone has to use as well as their own best settings). Note that the provided aerosol profile VIS2 has much higher extinction than VIS1, so the retrieval needs to increase the NO2 concentration in order to simulate the measurements. i.e. more aerosols means MAXDOAS is less sensitive. Another point to note. My interpretation (if the Empa insitu instrument is accurate) is that the days when the retrieved surface NO2 values are closer to Empa might be where the prescribed aerosol profile matches closer to reality. For instance, on the first golden day (18th June) the Empa values are much lower than the retrieved values. Perhaps this was a cleaner day for aerosols, i.e. the aerosol extinction was less than the values given in the VIS1 profile. I have been updating my profile retrievals on cindi-share and I am close to submitting the complete set. However, its probably too late for Folkard to include them in his talk unless he is very efficient!