Atmospheric Physics

ClusterMap10

Image Credit: Michael Taylor

Perhaps the most important course I took while an undergraduate student at UMIST was called Human Uses of Energy. It was given by Professor Mike Rusbridge and I remember vividly how he presented empirical facts about the state of global energy use and provided estimates in BTUs of the potential for harnassing energy from different natural and man-made sources. When it came to deciding what to do for my PhD, alternative energy and, in particular, fusion won out over my second choice – atmospheric physics. Atmospheric physics fascinated me as for the first time in my life, I started to understand why it rains, why it snows and how lightning strikes. It was all thanks to a single lecture course on atmospheric physics at UMIST given by Dr Clive (“the thunderbird”) Saunders – who used to fly airplanes full of instrumentation directly at, and through thunderstorms! When I returned to research in 2003, I had the opportunity to work in the field of atmospheric physics in Greece funcded by a Marie-Curie IEF at the National Observatory of Athens developing machine learning models to partition the global into aerosol mixtures and to retrieve aerosol microsphysical and optical parameters by inverting satellite data with neural networks. This allowed us to exploit the global coverage provided by polar orbiting satellites to interpolate aerosol micro-physical and optical properties over regions where no AERONET ground stations exist.

Journal Articles

  1. Wang, W.,  Zhao, S., Jiao, L., Taylor, M., Zhang, B., Xu, G., Hou, H. (2019). Estimation of PM2.5 concentrations in China using a spatial back-propagation neural network, Scientific Reports, 9(13788), https://doi.org/10.1038/s41598-019-50177-1. [PDF]
  2. Zempila, M.-M., Fountoulakis, I., Taylor, M., Kazadzis, S., Arola, A., Koukouli, M.-E., Bais, A.F., Meleti, C., Balis, D.S. (2018) Validation of OMI erythemal doses with multi-sensor ground-based measurements in Thessaloniki, Greece, Atmospheric Environment, 183, 106-121. doi: dx.doi.org/10.1016/j.atmosenv.2018.04.012 [PDF]
  3. Zempila, M.-M., van Geffen, J.H.G.M., Taylor, M., Fountoulakis, I., Koukouli, M.-E., van Weele, M., van der A., R. J., Bais, A.F., Meleti, C., Balis, D.S. (2017) TEMIS UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece. Atmospheric Chemistry and Physics 17(11), 7157-7174. doi: dx.doi.org/10.5194/acp-17-7157-2017 [PDF] [Peer Review] [Data]
  4. Koukouli, M.E., Balis, D.S., van der A, R., Theys, N., Hedelt, P., Richter, A., Krotkov, N., Li, C., Taylor, M. (2016) Anthropogenic sulphur dioxide load over China as observed from different satellite sensors. Atmospheric Environment 145, 45–59, doi: dx.doi.org/10.1016/j.atmosenv.2016.09.007 [PDF]
  5. Zempila, M.M., Taylor, M., Bais, A., Kazadzis, S. (2016) Modeling the relationship between photosynthetically active radiation and global horizontal irradiance using singular spectrum analysis. Quantitative Spectroscopy and Radiative Transfer 182, 240-263, doi: dx.doi.org/10.1016/j.jqsrt.2016.06.003 [PDF]
  6. Taylor, M., Retalis, A., Flocas, H.A. (2016) Particulate matter estimates from photochemistry: a modelling approach using neural networks and synoptic clustering. Aerosol & Air Quality Research 16(9):2067-2084.
    doi: dx.doi.org/10.4209/aaqr.2015.07.0481 [PDF] [Supplement]
  7. Taylor, M., Kazadzis, S., Amiridis, V., Kahn, R.A. (2015) Global aerosol mixtures and their multiyear and seasonal characteristics. Atmospheric Environment 16, 112-129, doi: dx.doi.org/10.1016/j.atmosenv.2015.06.029 [PDF] [Supplement]
  8. Taylor, M., Kazadzis, S., Tsekeri, A., Gkikas, A., Amiridis, V. (2014) Satellite retrieval of aerosol microphysical and optical parameters using neural networks: a new methodology applied to the Sahara desert dust peak. Atmospheric Measurement Techniques 7, 3151-3175, doi: dx.doi.org/10.5194/amt-7-3151-2014 [PDF] [Supplement] [Discussion]
  9. Kazadzis, S., Veselovskii, I., Amiridis, V., Gröbner, J., Suvorina, A., Nyeki, S., Gerasopoulos, E., Kouremeti, N., Taylor, M., Tsekeri, A., Wehrli, C. (2014) Aerosol microphysical retrievals from Precision Filter Radiometer direct solar radiation measurements and comparison with AERONET. Atmospheric Measurement Techniques 7, 2013-2025, doi: dx.doi.org/10.5194/amt-7-2013-2014 [PDF] [Discussion]
  10. Taylor, M., Kazadzis, S., Gerosopoulos, E. (2014) Multi-modal analysis of aerosol robotic network size distributions for remote sensing applications: dominant aerosol type cases. Atmospheric Measurement Techniques 7, 839-858, doi: dx.doi.org/10.5194/amt-7-839-2014 [PDF] [Supplement] [Discussion]
  11. Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A., Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., & Ansmann, A. (2013) Optimizing Saharan dust CALIPSO retrievals. Atmospheric Chemistry and Physics 13, 12089-12106, doi: dx.doi.org/10.5194/acp-13-12089-2013 [PDF] [Discussion]

Conference Talks, Posters & Papers:

  1. Zempila, M.M., Taylor, M., Koukouli, M.E., Fountoulakis, I., Bais, A., Arola, A., van Geffen, J., van Weele, M., van der A, R., Kouremeti, N., Kazadzis, S., Meleti, C., Balis, D.S. (2016). Evaluation of satellite photobiological effective dose products with a ground-based NILU-UV radiometer: in preparation for TROPOMI/S5P. European Space Agency (ESA) Atmospheric Composition Validation and Evolution (ACVE) 2016, 18-20 October, Frascati (Rome), Italy. [Link] [Abstract] [Poster].
  2. Taylor, M., Koukouli, M.E., Theys, N., Bai, J., Zempila, M.M., Balis, D.S., van Roozendael, M., van der A, R. (2016) A robust seasonality detector for geophysical time series: Application to satellite SO2 observations over China. 13th International Conference on Meteorology, Climatology & Atmospheric Physics (COMECAP) 17-19 September, Thessaloniki, Greece. [Abstract] [Paper] [Talk]
  3. Zempila, M.M., Taylor, M., Fountoulakis, I., Bais, A., Kazadzis, S., Fragkos, K. (2016) Introducing a cloud screening detector using global horizontal irradiances in UV and PAR in Thessaloniki, Greece. 13th International Conference on Meteorology, Climatology & Atmospheric Physics (COMECAP) 17-19 September, Thessaloniki, Greece. [Abstract] [Paper] [Talk]
  4. Zempila, M.M., Taylor, M., Fountoulakis, I., Koukouli, M.E., Bais, A.F., Arola, A., van Geffen, J., van Weele, M., van der A, R., Kouremeti, N., Kazadzis, S., Meleti, C., Balis, D.S. (2016) CIE, Vitamin D and DNA damage: a synergistic study in Thessaloniki, Greece. ESA Living Planet Symposium 2016, 9-13 May, 2016, Prague, Czech Republic. [Abstract] [Poster] [Paper]
  5. Taylor, M., Kazadzis, S., Amiridis, V., Kahn, R.A. (2015) A climatology of global aerosol mixtures to support Sentinel-5P and EarthCARE mission applications. Advances in Atmospheric Science and Applications (ATMOS 2015) European Space Agency (ESA) Workshop, 8-12 June, Heraklion, Crete. [Abstract] [Poster] [Paper]
  6. Raptis, I.P., Kokkalis, P., Amiridis, V., Taylor, M., Kazadzis, S. (2015) A case study of columnar marine and dust particle ratios calculated with photometric and lidar measurements during the CHARADMEXP campaign. European Geophysical Union (EGU) General Assembly 2015, 12-17 April, Vienna, Austria. [Abstract] [Poster]
  7. Taylor, M. (2014) How a synergy of GOCART, MODIS and AERONET data can be used to train neural networks for producing global aerosol volume size distributions from space. 2nd Gregory G. Leptoukh Online Giovanni Workshop, 12-14 November (hosted by NASA GES-DISC). [PPT] [PDF] [YouTube]
  8. Taylor, M. (2014) Multi-modal fitting of AERONET size distributions during atypical aerosol conditions. 12th International Conference on Meteorology,Climatologyand Atmospheric Physics (COMECAP 2014), 28-31 May, Heraklion, Crete, Greece, Vol. 3, pp191-196, ISBN: 978-960-524-430-9. [Paper] [Talk] [PDF]
  9. Taylor, M., Kazadzis, S., Tsekeri, A., Gkikas, A., Amiridis, V. (2014) AEROMAP: Satellite retrieval of dust aerosol microphysical and optical parameters using neural networks. 12th International Conference on Meteorology, Climatology & Atmospheric Physics (COMECAP) 28-31 May, Heraklion, Crete, Greece, Vol. 3, pp197-204, ISBN: 978-960-524-430-9.[Abstract] [Poster] [Paper]
  10. Kosmopoulos, P.G., Kazadzis, S., Flocas, H.A., Marinou, E., Amiridis, V., Taylor, M., Jacovidis, C.P. (2014) A 3D aerosol climatology in the atmosphere of Greece by remote sensing & radiative-transfer modeling techniques12th International Conference on Meteorology, Climatology & Atmospheric Physics (COMECAP 2014), 28-31 May 2014, Heraklion, Crete, Greece, Vol. 2, pp13-17, ISBN: 978-960-524-430-9. [Poster]  [Paper]
  11. Taylor, M., Kazadzis, S., Tsekeri, A., Gkikas, A., Amiridis, V. (2012) AEROMAP: Calculation of aerosol microphysical properties by neural network inversion of ground-based AERONET data. European Aerosol Conference (EAC) 2-7 September, Granada, Spain. [Abstract] [Poster]
  12. Taylor, M. (2012) AEROMAP: Global mapping of aerosol properties using neural network inversions of ground and satellite based data. Euro-Science Open Forum (ESOF) 11-15 July, Dublin, Ireland. [Poster]
  13. Kalognomou, E. A., Moussiopolous, N., Taylor, M. (2004) Chapter 2: Review of relevant studies and projects. In: N. Moussiopoulos et al (2004) Street Emission Ceiling Phase I Final Report. European Topic Centre on Air & Climate Change (ETC/ACC) Technical Paper 2003/11, EU Technical Reports, August. [Full Report]
  14. Taylor, M. (2003) A Holistic Approach to Turbulence Modelling, presented to the EU consortium on atmospheric modelling, ATREUS Workshop, Meteorological Institute, Hamburg, Germany. [Talk]

%d bloggers like this: