A list of the posted blogs related to “Homepage news” category, from the most recent to the 1st:
Save the date – Next S3VT on 10-12 March 2020 at EUMETSAT, Germany
Publication in AMT journal of “Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2-O2 band and an estimation of the aerosol correction uncertainty”
Improving aerosol correction of OMI tropospheric NO2 over China, based on a CALIOP climatology – Happy to co-author the work of Liu et al. (2019)!
A new paper submitted – Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2-O2 band and an estimation of the aerosol correction uncertainty
A new paper published on OMI aerosol layer height retrieval from the O2-O2 visible band and neural networks – Comparison with CALIOP aerosol spatial patterns
Research / Science Homepage – Already 1 year! Thanks!
Recent findings from OMI Aerosol Layer Height Neural Network at EGU 2018 by GRS – TU Delft and KNMI
2018: New activities on atmospheric composition retrieval from satellites – Moving from OMI with GRS-TU Delft & KNMI to Sentinel-3 with EUMETSAT
20th OMI Science Meeting at NASA Goddard Space Institute
Neural Network, NO2 and aerosol height retrievals at the next 20th OMI Science Team Meeting at NASA, USA
5 days of large exposure of OMI, TROPOMI and air quality innovation developments from GRS & KNMI at the TU Delft research exhibition 2017
OMI, TROPOMI & air quality activities at the TU Delft 2017 Research exhibition – The largest scientific expo of the Netherlands – 06-08 June 2017
OMI aerosol layer height Neural Network algorithm at EGU 2017!
Aerosols, clouds, and our OMI work at the 3rd NASA A-Train symposium!
OMI aerosol layer height Neural Network at the NASA A-Train symposium & EGU 2017
How to fight against big (and complex) data set Neural network vs. conventional methods
New page CH4 – Methane!
Seminar @TU Delft – Where are the aerosols?
New paper published! – OMI aerosol height over land from the O2-O2 visible absorption band, based on neural networks
New page CO – Carbon Monoxide!
Homepage promotion in the SNELLIUS newsletter!
Research homepage opening!