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1. Intercomparison of NOx emission inventories over East Asia

   We compare nine emission inventories of nitrogen oxides including four satellite-derived NOx inve...

   Ding, Miyazaki, A, Mijling, Kurokawa, Cho, Janssens-Maenhout, Zhang, Liu, Levelt | Status: published | Journal: Atmospheric Chemistry and Physics | Volume: 17 | Year: 2017 | doi: https://doi.org/10.5194/acp-17-10125-2017

   Publication

2. NOx emission trends over Chinese cities estimated from OMI observations during 2005 to 2015

   Satellite nitrogen dioxide (NO2) observations have been widely used to evaluate emission changes....

   Fei Liu, Steffen Beirle, Qiang Zhang1 Ronald J. van der A, Bo Zheng, Dan Tong, Kebin He | Status: published | Journal: Atmospheric Chemistry and Physics | Volume: 17 | Year: 2017 | doi: https://doi.org/10.5194/acp-17-9261-2017

   Publication

3. A new method for deriving trace gas emission inventories from satellite observations: The case of SO2 over China

   A method is developed that allows the construction of spatial emission inventories. The method is...

   Kourtidis, Georgoulias, Mijling, A, Zhang, Ding | Status: published | Journal: Science of the Total Environment | Volume: 612 | Year: 2017 | doi: https://doi.org/10.1016/j.scitotenv.2017.08.313

   Publication

4. North Sea Wave Analysis Using Data Assimilation and Mesoscale Model Forcing Winds

   This article explores the use of the ensemble Kalman filter technique to improve the accuracy of ...

   S Caires, GJ Marseille, M Verlaan, A Stoffelen | Journal: J. of Waterway, Port, Coastal, and Ocean Engin. | Volume: 144 | Year: 2018 | doi: https://doi.org/10.1061/(ASCE)WW.1943-5460.0000439

   Publication

5. Should seasonal forecasts be used for flood preparedness?

   Should seasonal forecasts be used for flood preparedness? Erin Coughlan de Perez, Elisabeth Step...

   E Coughlan de Perez, E Stephens, K Bischiniotis, M van Aalst, BJJM van den Hurk, S Mason, H Nissan, F Pappenberger | Status: accepted | Journal: Hydrology and Earth System Sciences | Volume: 21 | Year: 2017 | doi: https://doi.org/10.5194/hess-21-4517-2017

   Publication