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A.p. Rouillard1,2, R.f. Pinto1,2, A.s Brun3, C. Briand4, S. Bourdarie5, T. Dudok De Wit6, T. Amari7, P.-l. Blelly1,2, E. Buchlin8, A. Chambodut9, A. Claret3, T. Corbard10, V. G ?Enot1,2, C. Guennou4, K.l. Klein4, L. Koechlin1,2, M. Lavarra1,2, B. Lavraud1,2, F. Leblanc11, J. Lemorton5, J. Lilensten12, A. Lopez-ariste1,2, A. Marchaudon1,2, S. Masson4,13, E. Pariat4, V. Reville3, L. Turc14, N. Vilmer4 And F.p. Zucarello4, 15 . (2016). Space-weather assets developed by the french space-physics community .
Abstract: We present a short review of space-weather tools and services developed and maintained by the French space-physics community. They include unique data from ground-based observatories, advanced numerical models, automated identification and tracking tools, a range of space instrumentation and inter- connected virtual observatories. The aim of the article is to highlight some advances achieved in this field of research at the national level over the last decade and how certain assets could be combined to produce better space-weather tools exploitable by space-weather centres and customers worldwide. This review illus- trates the wide range of expertise developed nationally but is not a systematic review of all assets developed in France.
Programme: 139
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A.S Drouet, G. Durand, E. Le Meur, F. Gillet-Chaulet, M. Sacchettini. (2011). A New Design for Digital Elevation Models of Bedrock underlying Ice Sheets,International Symposium on interactions of Ice Sheets and Glaciers with the Ocean, La Jolla, California, USA, 5-10 June 2011. . Bachelor's thesis, , .
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A.S Drouet, G. Durand, F. Gillet-Chaulet, E. Le Meur, J. Braun, M. Sacchettini, D. Young, D. Blankenship, J. Greenbaum, M. Siegert, E. Rignot, J.W Holt, D. Kirchner,J. Mouginot,Y.Gim. (2011).
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A.S. Drouet, G. Durand, F. Gillet-Chaulet, L. Favier, E. Le Meur, J.
Braun, M. Sacchettini, D.A. Young, D.D. Blankenship, J.S. Greenbaum, E.
Rignot, J.W. Holt, M. Siegert, D. Kirchner, J. Mouginot, Y. Gim, and B
Scheuchl
. (2011). A New Design for Digital Elevation Models of Bedrock Underlying Ice Sheets, AGU, San fransisco, fall meeting, 5-11 Dec. 2011.
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A.S. Drouet, G. Durand, F. Gillet-Chaulet, L. Favier, E. Le Meur, J.
Braun, M. Sacchettini, D.A. Young, D.D. Blankenship, J.S. Greenbaum, E.
Rignot, J.W. Holt, M. Siegert, D. Kirchner, J. Mouginot, Y. Gim, and B
Scheuchl. (2011). A New Design for Digital Elevation Models of Bedrock Underlying Ice Sheets, EGU 2012-9677.
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Abbadi I. (1995).
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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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. (2019). Long term monitoring of ? Pictoris with ASTEP from Dome C. Bachelor's thesis, , .
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. (2019). The evolution of light and vertical mixing across a phytoplankton ice-edge bloom (Vol. 7).
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. (2022). Temporal trends of mercury in Arctic biota: 10 more years of progress in Arctic monitoring (Vol. 839). Bachelor's thesis, , .
Keywords: Arctic Biota Environmental monitoring Mercury Statistical assessment Temporal trends
Programme: 330,388
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