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. (2015). Metrology of ground-based satellite validation: co-location mismatch and smoothing issues of total ozone comparisons (Vol. 8).
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. (2016). Seven years of IASI ozone retrievals from FORLI: validation with independent total column and vertical profile measurements (Vol. 9).
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. (2018). (Vol. 11). Bachelor's thesis, , .
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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. (2018). (Vol. 11).
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. (2018). Identification of spikes associated with local sources in continuous time series of atmospheric CO, CO2 and CH4 (Vol. 11). Bachelor's thesis, , .
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.
Programme: 416
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. (2018). (Vol. 14).
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Bart Van de Vijver, Carlos E. Wetzel, Luc Ector. (2018). Analysis of the type material of Planothidium delicatulum (Bacillariophyta) with the description of two new Planothidium species from the sub-Antarctic Region (Vol. 18).
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. (2016). Assessing recent trends in high-latitude Southern Hemisphere surface climate (Vol. 6).
Abstract: Understanding the causes of recent climatic trends and variability in the high-latitude Southern Hemisphere is hampered by a short instrumental record. Here, we analyse recent atmosphere, surface ocean and sea-ice observations in this region and assess their trends in the context of palaeoclimate records and climate model simulations. Over the 36-year satellite era, significant linear trends in annual mean sea-ice extent, surface temperature and sea-level pressure are superimposed on large interannual to decadal variability. Most observed trends, however, are not unusual when compared with Antarctic palaeoclimate records of the past two centuries. With the exception of the positive trend in the Southern Annular Mode, climate model simulations that include anthropogenic forcing are not compatible with the observed trends. This suggests that natural variability overwhelms the forced response in the observations, but the models may not fully represent this natural variability or may overestimate the magnitude of the forced response.
Programme: 1154
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Christopher S. Watson, Neil J. White, John A. Church, Matt A. King, Reed J. Burgette, Benoit Legresy. (2015). Unabated global mean sea-level rise over the satellite altimeter era (Vol. 5).
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. (2018). Under-estimated wave contribution to coastal sea-level rise (Vol. 8). Bachelor's thesis, , .
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