Status of the OMI Ozone DOAS Product June 2006 Pepijn Veefkind.

Slides:



Advertisements
Similar presentations
KNMI Ozone Satellite Observations
Advertisements

Inferring SO 2 and NO x Emissions from Satellite Remote Sensing Randall Martin with contributions from Akhila Padmanabhan, Gray O’Byrne, Sajeev Philip.
QA flagging of clouds and atmospheric anomalies Fast UV simulation tool - FastRT Ola Engelsen Norwegian Institute for Air Research (NILU)
Algorithm improvements for Dutch OMI NO2 retrievals (towards v3.0)
Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.
Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.
Surface UV radiation monitoring based on GOME and SCIAMACHY Jos van Geffen 1,2, Ronald van de A 1, Michiel van Weele 1, Marc Allaart 1, Henk Eskes 1 1)
Results from the OMPS Nadir Instruments on Suomi NPP Satellite
1 times table 2 times table 3 times table 4 times table 5 times table
Status S5p TROPOMI Pepijn Veefkind.
Template CAMx Ancillary Input Development Chris Emery ENVIRON International Corporation, Novato CA November 14, 2012.
TEMPO Algorithms. Introduction 5/23/132 We will begin with the default launch data products, which are the gases O 3, H 2 CO, C 2 H 2 O 2, NO 2, and SO.
QA flagging of clouds and atmospheric anomalies Fast UV simulation tool - FastRT Ola Engelsen Norwegian Institute for Air Research (NILU)
ALMA Integrated Computing Team Coordination & Planning Meeting #2 Santiago, January 2014 Control Group Planning Rafael Hiriart, Control Group Lead.
Elena Spinei and George Mount Washington State University 1 CINDI workshop March 2010.
Algorithms and chemical data assimilation activities at Environment Canada Chris McLinden Air Quality Research Division, Environment Canada 2 nd TEMPO.
Solving Percent Problems Section 6.5. Objectives Solve percent problems using the formula Solve percent problems using a proportion.
Investigating Renewable Energy Data from Photovoltaic (PV) Solar Panels In Petersham, MA.
Spectrometry and Photochemistry Theodore S. Dibble Chemistry Department SUNY-Environmental Science and Forestry Syracuse, NY.
Project Status: Year 1. Milestones and Deliverables Year 1 contained: 25 milestones (from 78) 9 deliverables (from 38) Of these: 22 milestones and 7 deliverables.
A. Bracher, L. N. Lamsal, M. Weber, J. P. Burrows University of Bremen, FB 1, Institute of Environmental Physics, P O Box , D Bremen, Germany.
Latest results on the comparison between OMI and ground-based data at two European sites (Rome and Villeneuve d’Ascq) Virginie Buchard, Colette Brogniez,
GOME2 Error Study WP 210: Spectral Aliassing PM3 12/2001 WP210: Spectral Aliassing Effects on Slant Column Retrieval R. De Beek.
Validation workshop, Frascati, 13 December 2002Page 1 SCIAMACHY products quality and recommendations Based on presentations and discussions during this.
S5P Ozone Profile (including Troposphere) verification: RAL Algorithm R.Siddans, G.Miles, B.Latter S5P Verification Workshop, MPIC, Mainz th May.
SAO OMI formaldehyde, water vapor and glyoxal retrievals Gonzalo Gonzalez Abad Helen Wang Christopher Miller Kelly Chance Xiong Liu Thomas Kurosu OMI Science.
TROPOMI on Sentinel 5 Precursor Peter van Velthoven, on behalf of: Pepijn Veefkind, Ilse Aben, Quintus Kleipool, Pieternel Levelt, & the TROPOMI team
Intercomparison of OMI NO 2 and HCHO air mass factor calculations: recommendations and best practices A. Lorente, S. Döerner, A. Hilboll, H. Yu and K.
Air Pollution/Environmental Technology laboratory Initial results on OMI NO 2 Validation during CINDI A contribution to the BIRA Cindi Workshop Yipin Zhou,
Validation of OMI total ozone using ground-based Brewer observations ESA Atmospheric Science Conference, 8-12 May 2006, Frascati, Italy Dimitris Balis.
Evaluation of OMI total column ozone with four different algorithms SAO OE, NASA TOMS, KNMI OE/DOAS Juseon Bak 1, Jae H. Kim 1, Xiong Liu 2 1 Pusan National.
Trace gas algorithms for TEMPO G. Gonzalez Abad 1, X. Liu 1, C. Miller 1, H. Wang 1, C. Nowlan 2 and K. Chance 1 1 Harvard-Smithsonian Center for Astrophysics.
Henk Eskes, OMI meeting June 2006 OMI Nitrogen Dioxide: The KNMI Near-Real Time Product Henk Eskes, Pepijn Veefkind, Folkert Boersma, Ronald van.
Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error Analysis Chulkyu Lee.
S5P cloud products Sebastián Gimeno García, Ronny Lutz, Diego Loyola German S5P Verification Meeting 1 Bremen, November Chart 1>
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.
Update on TROPOMI instrument and status Pepijn Veefkind, Diego Loyola, Andreas Richter, Ilse Aben, Michel van Roozendael, Isabelle De Smedt, Richard Siddans,
Comparisons of LER/MLER Cloud Pressures with a Model of Mie Scattering Plane-Parallel Cloud Alexander Vasilkov 1, Joanna Joiner 2, Pawan K. Bhartia 2,
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Monitoring of sulphur dioxide emissions from satellite as part of GSE PROMOTE Jos van Geffen, Michel Van Roozendael, Isabelle De Smedt, Caroline Fayt (BIRA-IASB)
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.
Evaluation of model simulations with satellite observed NO 2 columns and surface observations & Some new results from OMI N. Blond, LISA/KNMI P. van Velthoven,
AGU Highlights Vijay Natraj. CO 2 Retrieval Simulation from GOSAT Thermal IR Spectra 15 um CO 2 band; 0.2 cm -1 res, ~ 300 S/N 110 layers for forward.
Henk Eskes, ERS-ENVISAT symposium 2004 Retrieval, validation and assimilation of SCIAMACHY ozone columns Henk Eskes, Ronald van der A, Ellen Brinksma,
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,
Tables Learning Support
March 21, ‘06 comp. May 5, ‘06 comp Summary ~4% swath angle dependent difference Up to 9% difference over clouds Differences correlate with snow/ice.
Cloud Masking in OMAERO Lyana Curier and Pepijn Veefkind.
Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,
Space-Time Series of MODIS Snow Cover Products
Braak et al., OMI Science Team Meeting 6 June 2007 OMI Multiwavelength Aerosol Product Validation Status Remco Braak, Ben Veihelmann, Pepijn Veefkind.
Challenge the future Corresponding author: Delft University of Technology Collocated OMI DOMINO and MODIS Aqua aerosol products.
OMI Nitrogen Dioxide Workshop Ellen Brinksma, Folkert Boersma.
Cloud workshop wrap-up OMI science team meeting, 21 June 2006.
1 SO 2 Air Mass Factors for pollution and volcanic emissions OMI Science Team Meeting De Bilt, June 2006 Pieter Valks, Werner Thomas, Thilo Ebertseder,
Section 5-1 p. 206 Goal – to write ratios as percents and vice versa.
GOME2 Error Study WP 150: Basic SNR column retrieval PM2 10/2001 SNR Basic Column Retrieval R. De Beek, M. Weber,
Iodine Monoxide (IO) Nadir Scientific Data Product
Physics and Astronomy An improved retrieval of tropospheric NO2 from space over polluted regions using an Earth radiance reference Jasdeep S. Anand
DOAS workshop 2015, Brussels, July 2015
UV/VIS backscattered Sun light retrievals from space born platforms
Deriving the Instrument Transfer Function from OMI Solar Observations and Its Implications for Ozone Retrievals Kang Sun, Xiong Liu, Zhaonan Cai, Guanyu.
Comparison of GOME-2 and OMI surface UV products
Johan de Haan Pepijn Veefkind
Times Tables.
Earth’s Energy Budget.
6th TEMPO Science Team Meeting
3 times tables.
6 times tables.
AWS Computing NTEG June 2019 New Technology Exploration Group.
Presentation transcript:

Status of the OMI Ozone DOAS Product June 2006 Pepijn Veefkind

OMDOAO3 Status The current SW version is v The version v1.0.1 has been publicly released. In the public archive only v1.0.1 data can be found.

Highlights of v1.0.1 The SW uses a fixed irradiance; The L1B flags are treated differently; The cloud product (OMCLDO2 v1.0.1) is of better quality. New value of the albedo of snow covered areas is used (0.6). The cloud fraction is computed internally in the SW. New slit functions and solar spectra. Small bug fixes.

Known Issues in v1.0.1 SZA dependent bias with correlative data sets. Bias with correlative data sets of a few percent. Snow/ice areas.

Plans for next release 2006/2007 New AMF tables. Back to daily irradiance files. Improve treatment of snow/ice areas. Investigate different ozone cross sections. Bug fixes.