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First 2713 results for ” Carolina Pereira Marghidan”

  1. Using MAX-DOAS measurements of tropospheric NO2 columns for MACC-II validation

    AM Blechschmidt, H Eskes, F Hendrick, U Kumar, E Peters, G Pinardi, AJM Piters, A Richter, M Van Roozendael, T Vlemmix | Year: 2014

    Publication

  2. Developing a model for the prediction of ground motions due to earthquakes in the Groningen gas field

    JJ Bommer, B Dost, B Edwards, PP Kruiver, M Ntinalexis, A Rodriguez-Marek, PJ Stafford, J Van Elk | Status: published | Journal: Netherlands Journal of Geosciences | Volume: 96 | Year: 2017 | First page: s203 | Last page: s213 | doi: 10.1017/njg.2017.28

    Publication

  3. Exploitation of Ground-based GPS for Operational Numerical Weather Prediction and Climate Applications

    G Elgered, HP Plag, H Van der Marel, SJM Barlag, J Nash | Year: 2005

    Publication

  4. Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign

    The second Cabauw Intercomparison of Nitrogen Dioxide measuring Instruments (CINDI-2) took place ...

    Tirpitz, J.-L., Frieß, U., Hendrick, F., Alberti, C., Allaart, M., Apituley, A., Bais, A., Beirle, S., Berkhout, S., Bognar, K., Bösch, T., Bruchkouski, I., Cede, A., Chan, K. L., den Hoed, M., Donner, S., Drosoglou, T., Fayt, C., Friedrich, M. M., Frumau, A., Gast, L., Gielen, C., Gomez-Martín, L., Hao, N., Hensen, A., Henzing, B., Hermans, C., Jin, J., Kreher, K., Kuhn, J., Lampel, J., Li, A., Liu, C., Liu, H., Ma, J., Merlaud, A., Peters, E., Pinardi, G., Piters, A., Platt, U., Puentedura, O., Richter, A., Schmitt, S., Spinei, E., Stein Zweers, D., Strong, K., Swart, D., Tack, F., Tiefengraber, M., van der Hoff, R., van Roozendael, M., Vlemmix, T., Vonk, J., Wagner, T., Wang, Y., Wang, Z., Wenig, M., Wiegner, M., Wittrock, F., Xie, P., Xing, C., Xu, J., Yela, M., Zhang, C., and Zhao, X. | Journal: Atmos. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 1 | Last page: 35 | doi: 10.5194/amt-14-1-2021

    Publication

  5. Crowdsourcing for climate and atmospheric sciences: current status and future potential

    Crowdsourcing is traditionally defined as obtaining data or information by enlisting the services...

    CL Muller, L Chapman, S Johnston, C Kidd, S Illingworth, G Foody, A Overeem, RR Leigh | Status: published | Journal: Int. J. Climatology | Volume: 35 | Year: 2015 | First page: 3185 | Last page: 3203 | doi: 10.1002/joc.4210

    Publication