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First 464 results for ” MK Prior”

1. Direct Retrieval of NO2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network

   Satellite retrievals of columnar nitrogen dioxide (NO2) are essential for the characterization of...

   Li, C., Xu, X., Liu, X., Wang, J., Sun, K., van Geffen, J., Zhu, Q., Ma, J., Jin, J., Qin, K., He, Q., Xie, P., Ren, B. and Cohen, R. C. | Journal: JOURNAL OF REMOTE SENSING | Year: 2022 | doi: https://doi.org/10.34133/2022/9817134

   Publication

2. Global NOx emission estimates derived from an assimilation of OMI tropospheric NO2 columns

   A data assimilation system has been developed to estimate global nitrogen oxides (NOx) emissions ...

   K Miyazaki, H Eskes, K Sudo | Status: submitted | Journal: Atm. Chem. Phys. | Year: 2011 | doi: doi:10.5194/acpd-11-31523-2011

   Publication

3. Anthropogenic emissions of NOx over China: Reconciling the difference of inverse modeling results using GOME-2 and OMI measurement

   Inverse modeling using satellite observations of nitrogen dioxide (NO2) columns has been extensiv...

   D Gu, Y Wang, C Smeltzer, KF Boersma | Status: published | Journal: J. Geophys. Res. | Volume: 119 | Year: 2015 | doi: doi:10.1002/2014JD021644

   Publication

4. An improved tropospheric NO2 retrieval for satellite observations in the vicinity of mountainous terrain

   We present an approach to reduce topography-related errors of vertical tropospheric columns (VTC)...

   Y Zhou, D Brunner, KF Boersma, RJ Dirksen, P Wang | Journal: Atmos. Meas. Tech. Discuss. | Year: 2009 | First page: 781 | Last page: 824 | doi: www.atmos-meas-tech-discuss.net/2/781/2009/

   Publication

5. Estimating Single-Epoch Integrated Atmospheric Refractivity from InSAR for Assimilation in Numerical Weather Models

   Numerical weather prediction (NWP) models are used to predict the weather based on current observ...

   Gert Mulder, Freek J. van Leijen, Jan Barkmeijer, Siebren de Haan, and Ramon F. Hanssen | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2022 | doi: 10.1109/TGRS.2022.3177041

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