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First 2639 results for ”Sebastián Contreras Osorio ”

1. Spatial and temporal evaluation of radar rainfall nowcasting techniques on 1,533 events

   Radar rainfall nowcasting, the process of statistically extrapolating the most recent rainfall ob...

   RO Imhoff, CC Brauer, A Overeem, AH Weerts, R Uijlenhoet | Status: published | Journal: Water Resour. Res. | Volume: 56 | Year: 2020 | doi: 10.1029/2019WR026723

   Publication

2. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2)

   An improved tropospheric nitrogen dioxide (NO2) retrieval algorithm from the Global Ozone Monitor...

   S Liu, P Valks, G Pinardi, J Xu, A Argyrouli, R Lutz, LG Tilstra, V Huijnen, F Hendrick, M Van Roozendael | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 13 | Year: 2020 | First page: 775 | Last page: 787 | doi: 10.5194/amt-13-755-2020

   Publication

3. Future evolution of surface solar radiation and photovoltaic potential in Europe: investigating the role of aerosols

   In recent decades, trends in photovoltaic (PV) technology deployment have shown an overall increa...

   C Gutiérrez, S Somot, P Nabat, M Mallet, L Corre, E van Meijgaard, O Perpiñán, M&Aac Gaertner | Status: published | Journal: Environmental Research Letters | Volume: 15 | Year: 2020 | doi: 10.1088/1748-9326/ab6666

   Publication

4. Rigorous test of the performance of shear-wave velocity correlations derived from CPT soundings: A case study for Groningen, the Netherlands

   An improved correlation between shear-wave velocity VS and cone penetration test (CPT) parameters...

   PP Kruiver, G de Lange, F Kloosterman, M Korff, J van Elk, D Doornhof | Status: published | Journal: Soil Dynamics and Earthquake Engineering | Volume: 140 | Year: 2021 | doi: 10.1016/j.soildyn.2020.106471

   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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