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First 824 results for ” R Fuentes Franco”

1. Incorporating dwelling mounds into induced seismic risk analysis for the Groningen gas field in the Netherlands

   In order to inform decision-making regarding measures to mitigate the impact of induced seismicit...

   Pauline P. Kruiver, Manos Pefkos, Erik Meijles, Gerard Aalbersberg, Xander Campman, Wim van der Veen, Antony Martin, Kira Ooms‑Asshoff, Julian J. Bommer, Adrian Rodriguez‑Marek, Rui Pinho, Helen Crowley, Francesco Cavalieri, António A. Correia, Jan van Elk | Journal: Bulletin of Earthquake Engineering | Volume: 20 | Year: 2021 | First page: 255 | Last page: 285 | doi: 10.1007/s10518-021-01225-7

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2. Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties

   The QA4ECV (Quality Assurance for Essential Climate Variables) version 1.1 stratospheric and trop...

   Compernolle, S., Verhoelst, T., Pinardi, G., Granville, J., Hubert, D., Keppens, A., Niemeijer, S., Rino, B., Bais, A., Beirle, S., Boersma, K.F., Burrows, J.P., De Smedt, I., Eskes, H., Goutail, F., Hendrick, F., Lorente, A., Pazmino, A., Piters, A., Peters, E., Pommereau, J.-P., Remmers, J., Richter, A., van Geffen, J., Van Roozendael, M., Wagner, T. and Lambert, J.-C | Journal: Atmospheric Chemistry and Physics | Volume: 20 | Year: 2020 | doi: https://doi.org/10.5194/acp-20-8017-2020

   Publication

3. The use of satellite data in the ECMWF analysis system

   The use of satellite data in the ECMWF analysis system

   K. Lablancz | Year: 1990 | Pages: 10

   Publication

4. Global distribution of effective cloud fraction and cloud top pressure derived from oxygen A band spectra measured by the Global Ozone Monitoring Experment: Comparison to ISCCP data

   Satellite measurements of the Earth's reflected sunlight in the oxygen A band around 761 nm, as m...

   RBA Koelemeijer, P Stammes, JW Hovenier, J de Haan | Status: published | Journal: J. Geophys. Res. | Volume: 107 | Year: 2002 | First page: 4151 | doi: 10.1029/2001JD000840

   Publication

5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

   The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

   X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

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