This study evaluated the possibility to improve OMItroposphericNO2 retrieval over China by creating and exploiting an aerosol vertical profile climatology database from 9 years of CALIOP observations. Among other elements, it shows the potential benefits to use satellite observations in a synergistic way (OMI–MODIS-CALIOP) and how to constrain better aerosol models in view of correcting aerosol scattering and absorption effects in UV-vis satellite measurements.
This notably leads to an update of the POMINO dataset from Lin et al. (2014, 2015).
Almost 3 months ago, on 2018.09.10, I had the privilege to defend my research thesis at Delft University of Technology. A big moment after 4 years of intensive collaboration with my colleagues of the Geoscience & Remote Sensing Department and KNMI and in the presence of several friends and relatives. An very strict protocol to follow according to the Dutch rules and tradition.
My thesis book is now available online as an Ebook here! Feel free to have a look if you are interested by aerosol layer height retrieval, UV-Vis satellite measurements such as OMI, troposphericNO2, air quality and climate observations. My main papers are concatenated there.
This paper is based on the last developments we published during 2016, 2017, and 2018. During these years, not only the OMI cloud algorithm was improved (Veefkind et al., 2016), but also an OMIaerosol layer height (and optical thickness) neural network algorithm was developed (Chimot et al., 2017, 2018). This time, we directly evaluate the impacts of these developments to correct of aerosol absorption and scattering effects in the visible spectral range in view of retrieving troposphericNO2, an important trace gas affecting air quality in urban and industrialised areas.
This paper is based on the work of 2017, in which a neural network algorithm was developed for retrieving aerosol layer height (ALH) from the OMI O2-O2 visible measurements. This time, we directly compare our retrievals with CALIOPaerosol observations and evaluate the spatial patterns on several remarkable case studies including urban pollution, biomass burning events and a Saharan dust outbreak!
In a world that is continuously evolving, and where it is very difficult to find adequate information about our environment and used observations, my only hope was to share some news about my topics of interest (trace gases, aerosol, air quality, climate), get more reliable information and increase (if possible) my network. I must admit that I was initially a bit skeptical.
But the numbers that I have now somehow surprise me: 3091 visits last year from some 1147 visitors. Since January, already 1127 views from 550 visitors! This may look very little for some people. But for me, this is quite significant! I have no idea whether people really got interest in my work and/or website, or just found a bit by chance some of the webpages.
What is for sure not a coincidence: 96 people connected with me viaTwitter, most of them / you that I don’t really know, and regularly exchanging scientific news with me. And about 56 posts posted alone or with some friends!
I don’t know who you are, and whether you found my HomePage by chance. But for all the scientific news and exciting exchanges that I have, thank you! In spite of my restricted time, I will keep updating this Homepage and my Twitter account on a more or less regular basis!
The Earth observation science journey, using satellites, continues!
Our research works achieved with my colleagues from Geoscience & Remote Sensing (GRS) – TU Delft, and KNMI, before my leaving, will be presented via a poster at EGU 2018. In particular, recent findings and the last publication on the retrieval of aerosol layer height (ALH) from the OMI 477 nm O2-O2 band and using the developed neural network algorithm will be shown
2017 was an intensive year for my research activity focused on validating the aerosol height retrieval using neural networks (NN), and improving the aerosol correction in tropospheric NO2 determination. Both from the Ozone Monitoring Instrument (OMI) satellite. What was new in 2017?:
our paper on the design of the OMIaerosol layer height (ALH) NN algorithm was published here
the next paper on its evaluation on specific cases was submitted and is currently under review
I am happy to have co-authored the work of Proestakis et al., on a new desert dust aerosol climatology dataset over Asia from 9-year CALIOP observations here
I had the opportunity to share the outcome of our activities at 5 conferences and seminars here
Of course, I will still keep a very interested eye on all the other satellite observations (in particular TROPOMI) and groups working on similar topics. I take the opportunity to emphasise how honoured and enthusiastic I am to have worked during 4 years with KNMI and GRS – TU Delft. In particular, I am very grateful to my Promotors Prof. Dr. Pieternel Levelt, Dr. Pepijn Veefkind and Dr. Tim Vlemmix. I do not forget all my colleagues and friends who closely or remotely shared this journey!
Last but not least, 2018 should witness the awarding of my PhD doctoral degree, related to my OMI, aerosol and NO2 research work, from TU Delft and KNMI. Gotten curious about the book to be published in the next months? Here just an illustration of the expected cover (thanks to my friend Remi Charton for his design talents!). Stay tuned!