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Field calibration of electrochemical NO2 sensors in a citizen science context
In many urban areas the population is exposed to elevated levels of air pollution. However, real-...
B Mijling, Q Jiang, D de Jonge, S Bocconi | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 1297 | Last page: 1312 | doi: 10.5194/amt-11-1297-2018
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Assimilation of GNSS reflectometry delay-Doppler maps with a two-dimensional variational analysis of global ocean surface winds
Direct remote-sensing observations (e.g., radar backscatter, radiometer brightness temperature, o...
Feixiong Huang, James L Garrison, S Mark Leidner, Giuseppe Grieco, Ad Stoffelen, Bachir Annane, Ross N Hoffman
| Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 147 | Year: 2021 | doi: https://doi.org/10.1002/qj.4034
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Structural uncertainty in air mass factor calculation for NO2 and HCHO satellite retrievals
Air mass factor (AMF) calculation is the largest source of uncertainty in NO2 and HCHO satellite ...
Lorente, A., Folkert Boersma, K., Yu, H., Dörner, S., Hilboll, A., Richter, A., Liu, M., Lamsal, L. N., Barkley, M., De Smedt, I., Van Roozendael, M., Wang, Y., Wagner, T., Beirle, S., Lin, J.-T., Krotkov, N., Stammes, P., Wang, P., Eskes, H. J., and Krol, M | Journal: Atmospheric Measurement Techniques | Year: 2017 | doi: https://doi.org/10.5194/amt-10-759-2017
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Evaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island Sound
Airborne and ground-based Pandora spectrometer NO2 column measurements were collected during the ...
Judd, L. M., Al-Saadi, J. A., Szykman, J. J., Valin, L. C., Janz, S. J., Kowalewski, M. G., Eskes, H. J., Veefkind, J. P., Cede, A., Mueller, M., Gebetsberger, M., Swap, R., Pierce, R. B., Nowlan, C. R., Abad, G. G., Nehrir, A., and Williams, D. | Journal: Atmos. Meas. Tech. | Volume: 13 | Year: 2020 | First page: 6113 | Last page: 6140 | doi: 10.5194/amt-13-6113-2020
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Offshore wind climatology based on synergetic use of Envisat ASAR, ASCAT and QuikSCAT
Highlights:
• We combine satellite surface ocean wind vector data from three satellites.
• Offsho...
C Hasager, A Mouche, M Badger, F Bingol, I Karagali, T Driesenaar, A Stoffelen, A Pina, N Longepe | Status: published | Journal: Remote Sens. Environ. | Volume: 156 | Year: 2014 | First page: 247 | Last page: 263 | doi: doi:10.1016/j.rse.2014.09.030
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