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Full-Text Articles in Life Sciences
Evaluation Of Tropospheric And Stratospheric Ozone Trends Over Western Europe From Ground-Based Ftir Network Observations, C Vigouroux, M De Maziere, P Demoulin, C Servais, F Hase, T Blumenstock, I Kramer, M Schneider, J Mellqvist, A Strandberg, Voltaire A. Velazco, J Notholt, R Sussmann, W Stremme, A Rockmann, T Gardiner, M Coleman, P Woods
Evaluation Of Tropospheric And Stratospheric Ozone Trends Over Western Europe From Ground-Based Ftir Network Observations, C Vigouroux, M De Maziere, P Demoulin, C Servais, F Hase, T Blumenstock, I Kramer, M Schneider, J Mellqvist, A Strandberg, Voltaire A. Velazco, J Notholt, R Sussmann, W Stremme, A Rockmann, T Gardiner, M Coleman, P Woods
Faculty of Science - Papers (Archive)
Within the European project UFTIR (Time series of Upper Free Troposphere observations from an European ground-based FTIR network), six ground-based stations in Western Europe, from 79° N to 28° N, all equipped with Fourier Transform infrared (FTIR) instruments and part of the Network for the Detection of Atmospheric Composition Change (NDACC), have joined their efforts to evaluate the trends of several direct and indirect greenhouse gases over the period 1995–2004. The retrievals of CO, CH4, C2H6, N2O, CHClF2, and O3 have been optimized. Using the optimal estimation method, some …
Trend Analysis Of Greenhouse Gases Over Europe Measured By A Network Of Ground-Based Remote Ftir Instruments, T Gardiner, A Forbes, M De Maziere, C Vigouroux, E Mahieu, P Demoulin, Voltaire A. Velazco, J Notholt, T Blumenstock, F Hase, I Kramer, R Sussmann, W Stremme, J Mellqvist, A Strandberg, K Ellingsen, M Gauss
Trend Analysis Of Greenhouse Gases Over Europe Measured By A Network Of Ground-Based Remote Ftir Instruments, T Gardiner, A Forbes, M De Maziere, C Vigouroux, E Mahieu, P Demoulin, Voltaire A. Velazco, J Notholt, T Blumenstock, F Hase, I Kramer, R Sussmann, W Stremme, J Mellqvist, A Strandberg, K Ellingsen, M Gauss
Faculty of Science - Papers (Archive)
This paper describes the statistical analysis of annual trends in long term datasets of greenhouse gas measurements taken over ten or more years. The analysis technique employs a bootstrap resampling method to determine both the long-term and intra-annual variability of the datasets, together with the uncertainties on the trend values.