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First 263 results for ” H Vömel”

1. Global fine-scale changes in ambient NO2 during COVID-19 lockdowns

   Nitrogen dioxide (NO2) is an important contributor to air pollution and can adversely affect huma...

   Cooper, Matthew J.; Martin, Randall V.; Hammer, Melanie S.; Levelt, Pieternel F.; Veefkind, Pepijn; Lamsal, Lok N.; Krotkov, Nickolay A.; Brook, Jeffrey R.; McLinden, Chris A. | Journal: Nature | Year: 2022 | doi: https://doi.org/10.1038/s41586-021-04229-0

   Publication

2. TEMIS UV product validation using NILU-UV ground-based measurements in Thessaloniki, Greece

   This study aims to cross-validate ground-based and satellite-based models of three photobiologica...

   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., Meleti, C. and Balis, D | Journal: Atmospheric Chemistry and Physics | Year: 2017 | doi: https://doi.org/10.5194/acp-17-7157-2017

   Publication

3. Improving rainfall measurement in gauge poor regions thanks to mobile telecommunication networks

   87 participants from 18 countries met to discuss the prospect for rainfall measurement and high-r...

   M Gosset, H Kunstmann, F Zougmore, F Cazenave, H Leijnse, R Uijlenhoet, C Chwala, F Keis, A Doumounia, B Boubacar, M Kacou, P Alpert, H Messer, J Rieckermann, J Hoedjes | Status: published | Journal: Bull. Amer. Meteor. Soc. | Volume: 97 | Year: 2016 | First page: ES49 | Last page: ES51 | doi: 10.1175/BAMS-D-15-00164.1

   Publication

4. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1)

   We report on an evaluation of tropospheric ozone and its precursor gases in three atmospheric che...

   V Huijnen, A Pozzer, J Arteta, G Brasseur, I Bouarar, S Chabrillat, Y Christophe, T Doumbia, J Flemming, J Guth, B Josse, V Karydis, V Marecal, S Pelletier | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 1725 | Last page: 1752 | doi: https://doi.org/10.5194/gmd-12-1725-2019

   Publication

5. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

   Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

   Publication