1. Polarimetric bias correction of practical planar scanned antennas for meteorological applications

    Pang, C., Hoogeboom, P., Le Chevalier, F., Russchenberg, HWJ., Dong, J., Wang, T. & Wang, X., 2016, In : IEEE Transactions on Geoscience and Remote Sensing. 54, 3, p. 1488-1504 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

  2. Polarimetric optimization for clutter suppression in spectral polarimetric weather radar

    Yin, J., Unal, C. & Russchenberg, H., 16 Jan 2017, Radar Conference (EuRAD), 2016 European. p. 205-208 4 p. 16600082

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  3. Polarimetric weather signatures and Doppler spectral analysis of a convective squall line

    Reinoso Rondinel, RR., Unal, CMH., Russchenberg, HWJ., IJpelaar, T. & Dufournet, Y., 2014, Proceedings of the 8th European conference on radar in meteorology and hydrology. s.n. (ed.). s.l.: DLR, p. 1-9 9 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

  4. Precipitation in complex orography simulated by the regional climate model RCA3

    Guttler, I., Stepanov, I., Nikulin, G., Jones, C. & Brankovic, C., 2014, Workshop proceedings of the 3rd lund regional-scale climate modelling workshop, 21st century challenges in regional climate modelling. Bärring, L., Reckermann, M., Rockel, B. & Rummukainen, M. (eds.). Geesthacht: Baltic Earth, p. 107-108 2 p. (International Baltic Earth Secretariat Publication; vol. 2014).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

  5. Predictability of Dry Convective Boundary Layers: An LES Study

    Mukherjee, S., Schalkwijk, J. & Jonker, H., Jun 2016, In : Journal of the Atmospheric Sciences. 73, 7, p. 2715-2727

    Research output: Contribution to journalArticleScientificpeer-review

  6. Predicting Fog in the Nocturnal Boundary Layer

    Izett, J., van de Wiel, B., Baas, P., van der Linden, S., van Hooft, A. & Bosveld, F. C., 2017, In : Geophysical Research Abstracts (online). 19, 1 p., EGU2017-8389.

    Research output: Contribution to journalMeeting AbstractScientific

  7. Quantification of drizzle fraction using large eddy simulation model output - The multi-purpose of the earthcare simulator

    Stepanov, I., Placidi, S. & Russchenberg, HWJ., 2012, Proceedings of the 16th international conference on clouds and precipitation, ICCP2012. McFarquhar, G. & Franklin, C. (eds.). Oberpfaffenhofen: IAMAS, p. 1-5 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  8. Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI

    Lorente, A., Boersma, K. F., Eskes, H. J., Veefkind, J. P., van Geffen, J. H. G. M., de Zeeuw, M. B., Denier van der Gon, H. A. C., Beirle, S. & Krol, M. C., 1 Dec 2019, In : Scientific Reports. 9, 1, 20033.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements

    Maatta, A., Laine, M., Tamminen, J. & Veefkind, JP., 2014, In : Atmospheric Measurement Techniques. 7, 5, p. 1185-1190 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index

    Sun, J., Pepijn Veefkind, J., Van Velthoven, P. & Levelt, P. F., 19 Sep 2018, In : Atmospheric Measurement Techniques. 11, 9, p. 5261-5277 17 p.

    Research output: Contribution to journalArticleScientificpeer-review

ID: 24112