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Title |
Metrology of ground-based satellite validation: co-location mismatch and smoothing issues of total ozone comparisons |
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Journal |
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Year |
2015 |
Publication |
Atmospheric Measurement Techniques |
Abbreviated Journal |
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Volume |
8 |
Issue |
12 |
Pages |
5039-5062 |
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209 |
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1867-1381 |
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1867-1381 |
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yes |
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7280 |
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Title |
Seven years of IASI ozone retrievals from FORLI: validation with independent total column and vertical profile measurements |
Type |
Journal |
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Year |
2016 |
Publication |
Atmospheric Measurement Techniques |
Abbreviated Journal |
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Volume |
9 |
Issue |
9 |
Pages |
4327-4353 |
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209 |
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1867-1381 |
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1867-1381 |
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yes |
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Serial |
7292 |
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Journal |
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Year |
2018 |
Publication |
Atmospheric Measurement Techniques |
Abbreviated Journal |
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Volume |
11 |
Issue |
9 |
Pages |
5125-5152 |
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Programme |
209 |
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Bachelor's thesis |
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1867-1381 |
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1867-1381 |
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7389 |
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Author |
Katerina Garane, Christophe Lerot, Melanie Coldewey-Egbers, Tijl Verhoelst, Maria Elissavet Koukouli, Irene Zyrichidou, Dimitris S. Balis, Thomas Danckaert, Florence Goutail, Jose Granville, Daan Hubert, Arno Keppens, Jean-Christopher Lambert, Diego Loyola, Jean-Pierre Pommereau, Michel Van Roozendael, Claus Zehner |
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Journal |
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Year |
2018 |
Publication |
Atmospheric Measurement Techniques |
Abbreviated Journal |
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Volume |
11 |
Issue |
3 |
Pages |
1385-1402 |
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209 |
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ISSN |
1867-1381 |
ISBN |
1867-1381 |
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yes |
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Serial |
7390 |
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Title |
Identification of spikes associated with local sources in continuous time series of atmospheric CO, CO2 and CH4 |
Type |
Journal |
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Year |
2018 |
Publication |
Atmospheric Measurement Techniques |
Abbreviated Journal |
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Volume |
11 |
Issue |
3 |
Pages |
1599-1614 |
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Abstract |
This Study Deals With The Problem Of Identifying Atmospheric Data Influenced By Local Emissions That Can Result In Spikes In Time Series Of Greenhouse Gases And Long-lived Tracer Measurements. We Considered Three Spike Detection Methods Known As Coefficient Of Variation (Cov), Robust Extraction Of Baseline Signal (Rebs) And Standard Deviation Of The Background (Sd) To Detect And Filter Positive Spikes In Continuous Greenhouse Gas Time Series From Four Monitoring Stations Representative Of The European Icos (Integrated Carbon Observation System) Research Infrastructure Network. The Results Of The Different Methods Are Compared To Each Other And Against A Manual Detection Performed By Station Managers. Four Stations Were Selected As Test Cases To Apply The Spike Detection Methods: A Continental Rural Tower Of 100m Height In Eastern France (Ope), A High-mountain Observatory In The South-west Of France (Pdm), A Regional Marine Background Site In Crete (Fkl) And A Marine Clean-air Background Site In The Southern Hemisphere On Amsterdam Island (Ams). This Selection Allows Us To Address Spike Detection Problems In Time Series With Different Variability. Two Years Of Continuous Measurements Of Co2, Ch4 And Co Were Analysed. All Methods Were Found To Be Able To Detect Short-term Spikes (Lasting From A Few Seconds To A Few Minutes) In The Time Series. Analysis Of The Results Of Each Method Leads Us To Exclude The Cov Method Due To The Requirement To Arbitrarily Specify An A Priori Percentage Of Rejected Data In The Time Series, Which May Over- Or Underestimate The Actual Number Of Spikes. The Two Other Methods Freely Determine The Number Of Spikes For A Given Set Of Parameters, And The Values Of These Parameters Were Calibrated To Provide The Best Match With Spikes Known To Reflect Local Emissions Episodes That Are Well Documented By The Station Managers. More Than 96% Of The Spikes Manually Identified By Station Managers Were Successfully Detected Both In The Sd And The Rebs Methods After The Best Adjustment Of Parameter Values. At Pdm, Measurements Made By Two Analyzers Located 200m From Each Other Allow Us To Confirm That The Ch4 Spikes Identified In One Of The Time Series But Not In The Other Correspond To A Local Source From A Sewage Treatment Facility In One Of The Observatory Buildings. From This Experiment, We Also Found That The Rebs Method Underestimates The Number Of Positive Anomalies In The Ch4 Data Caused By Local Sewage Emissions. As A Conclusion, We Recommend The Use Of The Sd Method, Which Also Appears To Be The Easiest One To Implement In Automatic Data Processing, Used For The Operational Filtering Of Spikes In Greenhouse Gases Time Series At Global And Regional Monitoring Stations Of Networks Like That Of The Icos Atmosphere Network. |
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416 |
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Bachelor's thesis |
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Edition |
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ISSN |
1867-1381 |
ISBN |
1867-1381 |
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Notes |
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Approved |
yes |
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Call Number |
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Serial |
7402 |
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Title |
Ground-based validation of the Copernicus Sentinel-5p TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks |
Type |
Journal |
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Year |
2020 |
Publication |
Atmospheric Measurement Techniques Discussions |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
1-40 |
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Abstract |
This Paper Reports On Consolidated Ground-based Validation Results Of The Atmospheric No2 Data Produced Operationally Since April 2018 By The Tropomi Instrument On Board Of The Esa/eu Copernicus Sentinel-5 Precursor (S5p) Satellite. Tropospheric, Stratospheric, And Total No2 Column Data From S5p Are Compared To Correlative Measurements Collected From, Respectively, 19 Multi-axis Doas (Max-doas), 26 Ndacc Zenith-scattered-light Doas (Zsl-doas), And 25 Pgn/pandora Instruments Distributed Globally. The Validation Methodology Gives Special Care To Minimizing Mismatch Errors Due To Imperfect Spatio-temporal Co-location Of The Satellite And Correlative Data, E.g., By Using Tailored Observation Operators To Account For Differences In Smoothing And In Sampling Of Atmospheric Structures And Variability, And Photochemical Modelling To Reduce Diurnal Cycle Effects. Compared To The Ground-based Measurements, S5p Data Show, On An Average: (I) A Negative Bias For The Tropospheric Column Data, Of Typically ?23 To ?37?% In Clean To Slightly Polluted Conditions, But Reaching Values As High As ?51?% Over Highly Polluted Areas; (Ii) A Slight Negative Bias For The Stratospheric Column Data, Of About ?0.2?Pmolec/cm2, I.e. Approx. ?2?% In Summer To ?15?% In Winter; And (Iii) A Bias Ranging From Zero To ?50?% For The Total Column Data, Found To Depend On The Amplitude Of The Total No2 Column, With Small To Slightly Positive Bias Values For Columns Below 6?Pmolec/cm2 And Negative Values Above. The Dispersion Between S5p And Correlative Measurements Contains Mostly Random Components, Which Remain Within Mission Requirements For The Stratospheric Column Data (0.5?Pmolec/cm2), But Exceed Those For The Tropospheric Column Data (0.7?Pmolec/cm2). While A Part Of The Biases And Dispersion May Be Due To Representativeness Differences, It Is Known That Errors In The S5p Tropospheric Columns Exist Due To Shortcomings In The (Horizontally Coarse) A-priori Profile Representation In The Tm5-mp Chemistry Transport Model Used In The S5p Retrieval, And To A Lesser Extent, To The Treatment Of Cloud Effects. Although Considerable Differences (Up To 2?Pmolec/cm2 And More) Are Observed At Single Ground-pixel Level, The Near-real-time (Nrti) And Off-line (Offl) Versions Of The S5p No2 Operational Data Processor Provide Similar No2 Column Values And Validation Results When Globally Averaged, With The Nrti Values Being On Average 0.79?% Larger Than The Offl Values. |
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Programme |
209 |
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Thesis |
Bachelor's thesis |
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Series Editor |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1867-1381 |
ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Notes |
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Approved |
yes |
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Call Number |
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Serial |
7782 |
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Author |
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Title |
A dedicated robust instrument for water vapor generation at low humidity for use with a laser water isotope analyzer in cold and dry polar regions |
Type |
Journal |
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Year |
2021 |
Publication |
Atmospheric Measurement Techniques |
Abbreviated Journal |
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Volume |
14 |
Issue |
4 |
Pages |
2907-2918 |
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Programme |
1110,1169,1205 |
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Thesis |
Bachelor's thesis |
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Place of Publication |
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Summary Language |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1867-1381 |
ISBN |
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Area |
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Expedition |
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Notes |
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Approved |
yes |
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Call Number |
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Serial |
8010 |
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| Permanent link to this record |
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Author |
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Title |
Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks |
Type |
Journal |
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Year |
2021 |
Publication |
Atmospheric Measurement Techniques |
Abbreviated Journal |
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Volume |
14 |
Issue |
1 |
Pages |
481-510 |
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Keywords |
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Abstract |
This Paper Reports On Consolidated Ground-based Validation Results Of The Atmospheric No2 Data Produced Operationally Since April 2018 By The Tropospheric Monitoring Instrument (Tropomi) On Board Of The Esa/eu Copernicus Sentinel-5 Precursor (S5p) Satellite. Tropospheric, Stratospheric, And Total No2 Column Data From S5p Are Compared To Correlative Measurements Collected From, Respectively, 19 Multi-axis Differential Optical Absorption Spectroscopy (Max-doas), 26 Network For The Detection Of Atmospheric Composition Change (Ndacc) Zenith-scattered-light Doas (Zsl-doas), And 25 Pandonia Global Network (Pgn)/pandora Instruments Distributed Globally. The Validation Methodology Gives Special Care To Minimizing Mismatch Errors Due To Imperfect Spatio-temporal Co-location Of The Satellite And Correlative Data, E.g. By Using Tailored Observation Operators To Account For Differences In Smoothing And In Sampling Of Atmospheric Structures And Variability And Photochemical Modelling To Reduce Diurnal Cycle Effects. Compared To The Ground-based Measurements, S5p Data Show, On Average, (I) A Negative Bias For The Tropospheric Column Data, Of Typically ?23 % To ?37 % In Clean To Slightly Polluted Conditions But Reaching Values As High As ?51 % Over Highly Polluted Areas; (Ii) A Slight Negative Median Difference For The Stratospheric Column Data, Of About ?0.2 Pmolec Cm?2, I.e. Approx. ?2 % In Summer To ?15 % In Winter; And (Iii) A Bias Ranging From Zero To ?50 % For The Total Column Data, Found To Depend On The Amplitude Of The Total No2 Column, With Small To Slightly Positive Bias Values For Columns Below 6 Pmolec Cm?2 And Negative Values Above. The Dispersion Between S5p And Correlative Measurements Contains Mostly Random Components, Which Remain Within Mission Requirements For The Stratospheric Column Data (0.5 Pmolec Cm?2) But Exceed Those For The Tropospheric Column Data (0.7 Pmolec Cm?2). While A Part Of The Biases And Dispersion May Be Due To Representativeness Differences Such As Different Area Averaging And Measurement Times, It Is Known That Errors In The S5p Tropospheric Columns Exist Due To Shortcomings In The (Horizontally Coarse) A Priori Profile Representation In The Tm5-mp Chemical Transport Model Used In The S5p Retrieval And, To A Lesser Extent, To The Treatment Of Cloud Effects And Aerosols. Although Considerable Differences (Up To 2 Pmolec Cm?2 And More) Are Observed At Single Ground-pixel Level, The Near-real-time (Nrti) And Offline (Offl) Versions Of The S5p No2 Operational Data Processor Provide Similar No2 Column Values And Validation Results When Globally Averaged, With The Nrti Values Being On Average 0.79 % Larger Than The Offl Values. |
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Programme |
209 |
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ISSN |
1867-1381 |
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yes |
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Call Number |
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Serial |
8013 |
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Title |
Calibration procedures and first dataset of Southern Ocean chlorophyll a profiles collected by elephant seals equipped with a newly developed CTD-fluorescence tags
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Type |
Journal Article |
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Year |
2013 |
Publication |
Earth System Science Data |
Abbreviated Journal |
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Volume |
5 |
Issue |
1 |
Pages |
15-29 |
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Abstract |
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Programme |
109 |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1866-3516 |
ISBN |
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Approved |
yes |
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Call Number |
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Serial |
4404 |
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Author |
Saunois, M., P. Bousquet, B. Poulter, A. Peregon, P.Ciais, J.G. Canadell, E.J. Dlugokencky, G. Etiope, D. Bastviken, S. Houweling, G. Janssens-Maenhout, F.N. Tubiello, S. Castaldi, R.B. Jackson, M. Alexe, V.K. Arora, D.J. Beerling, P. Bergamaschi, D.R. Blake, G. Brailsford, V. Brovkin, L. Bruhwiler, C. Crevoisier, P. Crill, C. Curry, C. Frankenberg, N. Gedney, L.H. Isaksson, M. Ishizawa, A. Ito, F. Joos, H.S. Kim, T. Kleinen, P. Krummel, J.F. Lamarque, R. Langenfelds, R. Locatelli, T. Machida, S. Maksyutov, K.C. McDonald, J. Marshall, J.R. Melton, I. Morino, S. O’Doherty, F.J.W. Parmentier, P.K. Patra, C. Peng, S. Peng, G.P. Peters, I. Pison, C. Prigent, R. Prinn, M. Ramonet, W.J. Riley, M. Saito, R. Schroeder, I.J. Simpson, R. Spahni, P. Steele, A. Takizawa, B.F. Thornton, H. Tian, Y. Tohjima, N. Viovy, A. Voulgarakis, M.v. Weele, G.v.d. Werf, R. Weiss, C. Wiedinmyer, D.J. Wilton, A. Wiltshire, D. Worthy, W.X. Xu, Y. Yoshida, B. Zhang, Z. Zhang, and Q. Zhu |
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Title |
The global methane budget 2000–2012 |
Type |
Journal Article |
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Year |
2016 |
Publication |
Earth System Science Data |
Abbreviated Journal |
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Volume |
8 |
Issue |
2 |
Pages |
697-751 |
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Abstract |
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Programme |
416 |
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1866-3516 |
ISBN |
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Notes |
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Approved |
yes |
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Call Number |
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Serial |
6402 |
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| Permanent link to this record |
