Aristeidis K. Georgoulias Konstantinos Kourtidis Data Handling and Formats within AMFIC Web Data Base Progress Meeting 1 - AUTH Thessaloniki 13-14 May.

Slides:

Advertisements

Similar presentations

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

Advertisements

Regional flux estimates of CO2 and CH4 inferred from GOSAT XCH4:XCO2 ratios Liang Feng Annemarie Fraser Paul Palmer University of Edinburgh Hartmut Bösch.

NERACOOS: Unlocking the power of data Riley Young Morse | Gulf of Maine Research Institute.

INTRODUCTION. Formaldehyde (HCHO) plays an important role in atmospheric chemistry as a tracer molecule for the production of the HOx family, which is.

Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Institute.

AIRS and MOPITT CO ARSET Applied Remote SEnsing Training CO plumes at an altitude of roughly 2 km (700 millibars) over the Houston area and extending out.

TEMIS user workshop, Frascati, 8-9 October 2007 Status of Central European NO 2 products Dominik Brunner, Daniel Schaub, Brigitte Buchmann Empa, Swiss.

The Orbiting Carbon Observatory Mission: Effects of Polarization on Retrievals Vijay Natraj Advisor: Yuk Yung Collaborators: Robert Spurr (RT Solutions,

Improvement and validation of OMI NO 2 observations over complex terrain A contribution to ACCENT-TROPOSAT-2, Task Group 3 Yipin Zhou, Dominik Brunner,

1 Surface nitrogen dioxide concentrations inferred from Ozone Monitoring Instrument (OMI) rd GEOS-Chem USERS ` MEETING, Harvard University.

VALIDATION OF SCIAMACHY CH 4 SCIENTIFIC PRODUCTS USING GROUND-BASED FTIR MEASUREMENTS B. Dils, M. De Mazière, C. Vigouroux, C. Frankenberg, M. Buchwitz,

NASA Trace Gas Products for Air Quality Applications NASA Remote Sensing Training September 2014 ARSET Applied Remote SEnsing Training A project of NASA.

Evaluation of the AIRPACT2 modeling system for the Pacific Northwest Abdullah Mahmud MS Student, CEE Washington State University.

Temporal Patterns in OMI NO2 Columns Benjamin de Foy, Saint Louis University AQAST-9, Saint Louis University, 3 June 2015 Cluster 1 (Blue) shows areas.

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling Division, Applied Modeling Research Branch October 8, 2008.

Monitoring Air Quality Changes in Regions Influenced by Major Point Sources over the Eastern and Central United States Using Aura/OMI NO 2 Ken Pickering.

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

Proposal for Enhancement of the CAUL Statistics

E X P E R I E N C E Y O U R A M E R I C A Management of Air Quality Monitoring Data Debbie Miller National Park Service U.S. Department of the Interior.

Aristeidis K. Georgoulias Konstantinos A. Kourtidis AMFIC Web Data Base II AMFIC Progress Meeting - Barcelona 24 June 2009 DRAGON II Symposium, Barcelona.

Mapping Greenhouse Gas Emissions in the Los Angeles Basin by Remote Sensing Using a Fourier Transform Spectrometer on Mt. Wilson Kam Weng (Clare) Wong.

The use of Sentinel satellite data in the MACC-II GMES pre-operational atmosphere service R. Engelen, V.-H. Peuch, and the MACC-II team.

Konstantinos Kourtidis Georgoulias Aristeidis Georgoulias Antonios Gasteratos Konstantinos Konstaninidis AMFIC Web Data Base AMFIC Final Meeting - Beijing.

Declustering in the Spatial Interpolation of Air Quality Data Stefan R. Falke and Rudolf B. Husar.

 Expectations 2004  Achievements  Summary + Outlook AT-2 Task Group 1 Progress Thomas Wagner.

Institut für Umweltphysik (iup) AMFIC 1 st Progress Meeting, May 2008, Aristotle University, Thessaloniki, Greece Carbon monoxide columns and methane.

Trends and seasonal variability in tropospheric NO 2 Ronald van der A, David Peters, Henk Eskes, Folkert Boersma ESA-NRSCC DRAGON Cooperation Programme.

AMFIC on AIRSAT- a web data base for hosting and easy retrieval of atmospheric data from satellites Konstantinos Kourtidis 1, Aristeidis Georgoulias 1,

WMS in a nutshell A “quick & easy” guide to using WMS.

SO2 and HCHO data from satellite & MAXDOAS instrument in Beijing Jos van Geffen Michel Van Roozendael, Isabelle De Smedt BIRA-IASB 1st AMFIC progress meeting.

A B C D The sensitivity of Earth’s wetlands to observed shifts in global precipitation and temperature patterns and their ability to produce large quantities.

Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Measurements.

AMFIC second progress meeting MariLiza Koukouli & Dimitris Balis Laboratory of Atmospheric Physics Aristotle University of Thessaloniki.

AMFIC final meeting LAP/Auth validation activities Dimitris Balis & MariLiza Koukouli Laboratory of Atmospheric Physics Aristotle University of Thessaloniki.

1 Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument Lok Lamsal and Randall Martin with contributions.

Ozone Update Ben Wells U.S. Environmental Protection Agency Office of Air Quality Planning and Standards Air Quality Analysis Group February 11, 2014.

Aristeidis K. Georgoulias Konstantinos Kourtidis Konstantinos Konstantinidis AMFIC Web Data Base AMFIC Annual Meeting - Beijing October 2008 Democritus.

Sciamachy features and usage with respect to end-users The typical fate of retrieval people dealing with large datasets… C. Frankenberg, SRON team, IUP.

Air Quality Forecasting in China using a regional model Bas Mijling Ronald van der A Henk Eskes Hennie Kelder.

Institut für Umweltphysik (iup) AMFIC Kick-off Meeting, 26 October 2007, KNMI, The Netherlands Carbon monoxide columns and methane column- averaged mixing.

Aristeidis K. Georgoulias Contribution of Democritus University of Thrace-DUTH in AMFIC-Project Democritus University of Thrace Laboratory of Atmospheric.

Regional Climate Model Evaluation System based on satellite and other observations for application to CMIP/AR downscaling Peter Lean 1, Jinwon Kim 1,3,

Retrieval of Methane Distributions from IASI

NASA/GSFC Tropospheric Ozone Residual M. Schoeberl NASA/GSFC M. Schoeberl NASA/GSFC.

Central EuropeUS East CoastJapan Global satellite observations of the column-averaged dry-air mixing ratio (mole fraction) of CO 2, denoted XCO 2, has.

Vegetation Index Visualization of individual composite period. The tool provides a color coded grid display of the subset region. The tool provides time.

Ozone time series and trends Various groups compute trends in different ways. One goal of the workshop is to be able to compare time series and trends.

Measurement of the Long-term trends of Methanol (CH 3 OH) and Carbonyl Sulfide (OCS) Both methyl chloride and carbonyl sulfide have strong infrared bands.

Chemical Condition and Surface Ozone in Urban Cities of Texas During the Last Decade: Observational Evidence from OMI, CAMS, and Model Analysis Yunsoo.

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.

G-IDAS Richard Engelen.

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.

NO x emission estimates from space Ronald van der A Bas Mijling Jieying Ding.

Tropospheric Ozone Residual from OMI and MLS J. R. Ziemke, S. Chandra, B. N. Duncan, L. Froidevaux, P. K. Bhartia, P. F. Levelt, and J. Waters (J. Geophys.

SCIAMACHY TOA Reflectance Correction Effects on Aerosol Optical Depth Retrieval W. Di Nicolantonio, A. Cacciari, S. Scarpanti, G. Ballista, E. Morisi,

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)

March 2004 At A Glance ITPS is a flexible and complete trending and plotting solution which provides user access to an entire mission full-resolution spacecraft.

USE OF GEOS-CHEM BY SMITHSONIAN ASTROPHYSICAL OBSERVATORY AND DALHOUSIE UNIVERSITY Randall Martin Mid-July SAO Halifax, Nova Scotia.

ESA :DRAGON/ EU :AMFIC Air quality Monitoring and Forecasting In China Ronald van der A, KNMI Bas Mijling, KNMI Hennie Kelder KNMI, TUE DRAGON /AMFIC project.

Page 1 OMI ST Meeting #11, KNMI, De Bilt, The Netherlands, June 2006 Validation of OMI trace gas products Main contributors (this work): Michel Van.

SADDU1/13 SCIAVALIG status report: Product website & Quality assessment status Annelise du Piesanie, Ankie Piters.

MERRA Data Access and Services

Section 6.4 Graphs of Polar Equations

Harvard-Smithsonian Center for Astrophysics

Evaluating Lower Tropospheric Ozone Simulations Using GOME/SCIAMACHY/OMI Observations of NO2 and HCHO Randall Martin Aaron Van Donkelaar Chris Sioris.

ICARTT: COORDINATED ATMOSPHERIC CHEMISTRY CAMPAIGN OVER EASTERN NORTH AMERICA AND NORTH ATLANTIC IN SUMMER 2004 International, multi-agency collaboration.

Satellite Remote Sensing of Ozone-NOx-VOC Sensitivity

Data Discovery Tools and Services Part B

Presentation of GSICS Inter-Calibration Results - Web Displays

Presentation transcript:

Aristeidis K. Georgoulias Konstantinos Kourtidis Data Handling and Formats within AMFIC Web Data Base Progress Meeting 1 - AUTH Thessaloniki May 2008 Democritus University of Thrace Laboratory of Atmospheric Pollution and Pollution Control Engineering of Atmospheric Pollutants

Analyzed Data: AMFIC data base upgrade for inclusion of CH 4 & CO data: Maps with annual XCH 4 means on a 5x5 degrees resolutionMaps with annual XCH 4 means on a 5x5 degrees resolution SCIAMACHY WFM DOAS XCH 4 data from IFE dry air column-averaged mole fractions (mixing ratios) in ppb (Level 2b quality filtered data)

Maps with annual XCH 4 means on a 5x5 degrees resolution

Analyzed Data: AMFIC data base upgrade for inclusion of: Maps with annual XCH 4 means on a 5x5 degrees resolutionMaps with annual XCH 4 means on a 5x5 degrees resolution Maps with availability of data on a 5x5 degrees resolutionMaps with availability of data on a 5x5 degrees resolution SCIAMACHY WFM DOAS XCH 4 data from IFE dry air column-averaged mole fractions (mixing ratios) in ppb (Level 2b quality filtered data)

Maps with availability of data on a 5x5 degrees resolution

Analyzed Data: AMFIC data base upgrade for inclusion of: Maps with annual XCH 4 means on a 5x5 degrees resolutionMaps with annual XCH 4 means on a 5x5 degrees resolution Maps with availability of data on a 5x5 degrees resolutionMaps with availability of data on a 5x5 degrees resolution Plots with XCH 4 measurements and seasonal variability for each 5x5 degrees clusterPlots with XCH 4 measurements and seasonal variability for each 5x5 degrees cluster SCIAMACHY WFM DOAS XCH 4 data from IFE dry air column-averaged mole fractions (mixing ratios) in ppb (Level 2b quality filtered data)

Maps with availability of data on a 5x5 degrees resolution

Analyzed Data: AMFIC data base upgrade for inclusion of: Maps with annual XCH 4 means in a 5x5 degrees analysisMaps with annual XCH 4 means in a 5x5 degrees analysis Maps with availability of data in a 5x5 degrees analysisMaps with availability of data in a 5x5 degrees analysis Plots with XCH 4 measurements and seasonal variability for each 5x5 degrees clusterPlots with XCH 4 measurements and seasonal variability for each 5x5 degrees cluster ASCII files with XCH 4 measurements and monthly means for each 5x5 degrees clusterASCII files with XCH 4 measurements and monthly means for each 5x5 degrees cluster SCIAMACHY WFM DOAS XCH 4 data from IFE dry air column-averaged mole fractions (mixing ratios) in ppb (Level 2b quality filtered data)

How we can request data from the data base?

By pressing on this spot…

How we can request data from the data base? All_values2003_22.5_117.5.txt All_values2003_22.5_117.5.txt Monthly_mean2003_22.5_117.5.txt Monthly_mean2003_22.5_117.5.txt

We have applied the same procedure for 1x1 degrees resolution on a regional level

The same analysis has been applied to XCO (could be applied to CH 4 & CO total column data) Each cluster includes a statistically significant number of measurements even though XCH 4 data are quite sparseEach cluster includes a statistically significant number of measurements even though XCH 4 data are quite sparse Advantages of AMFIC web data base This analysis enables easier validation of XCH 4 data for selected regions and comparison with model resultsThis analysis enables easier validation of XCH 4 data for selected regions and comparison with model results The user can request either plots or ascii files even for a quick look in a few seconds!The user can request either plots or ascii files even for a quick look in a few seconds!

An Example from AIRSAT: Data from WDC-RSAT (World Data Center for Remote Sensing of the Atmosphere geographical area data set time period

daily data in csv ascii format (1 o x1 o analysis) daily maps start animation select coordinates

animation

Example of total O 3 time series for Xanthi [ o N, o E] graph & csv ascii format Since AIRSAT data base is being updated…

Data being analyzed: SCIAMACHY WFM DOAS XCO Level 2b (daily-monthly means)SCIAMACHY WFM DOAS XCO Level 2b (daily-monthly means) SCIAMACHY & OMI Tropospheric NO 2 (daily-monthly means)SCIAMACHY & OMI Tropospheric NO 2 (daily-monthly means) 2003-end of project SCIAMACHY Tropospheric HCHO (daily)SCIAMACHY Tropospheric HCHO (daily) 2003-end of project SCIAMACHY Total SO 2 (daily)SCIAMACHY Total SO 2 (daily) 2004-end of project GOME Tropospheric O 3 (daily gridded on 2x3 degrees analysis)GOME Tropospheric O 3 (daily gridded on 2x3 degrees analysis)

How we could get all these data in one go ?