Search results

First 1777 results for ”J Clinton”

1. Bayesian Sea Ice Detection Algorithm for CFOSAT

   This paper describes the adaptation of the Bayesian sea ice detection algorithm for the rotating ...

   Zhen Li, Anton Verhoef, Ad Stoffelen | Journal: Remote Sensing | Volume: 14(15) | Year: 2022 | First page: 3569 | doi: https://doi.org/10.3390/rs14153569

   Publication

2. Event attribution is not ready for a major role in loss and damage.

   Loss and damage funds are intended to support low-income regions experiencing impacts of human-ca...

   King, A.D., Grose, M.R., Kimutai, J., Pinto, I. and Harrington, L.J. | Journal: Nature Climate Change | Year: 2023 | doi: 10.1038/s41558-023-01651-2

   Publication

3. Enhanced Capabilities of TROPOMI NO2: Estimating NOX from North American Cities and Power Plants

   The TROPOspheric Monitoring Instrument (TROPOMI) is used to derive top-down NOX emissions for two...

   DL Goldberg, Z Lu, DG Streets, B de Foy, D Griffin, CA McLinden, LN Lamsal, NA Krotkov, H Eskes | Status: published | Journal: Environmental Science & Technology | Volume: 21 | Year: 2019 | First page: 12594 | Last page: 12601 | doi: https://doi.org/10.1021/acs.est.9b04488

   Publication

4. Can TROPOMI NO2 satellite data be used to track the drop in and resurgence of NOx emissions in Germany between 2019-2021 using the multi-source plume method (MSPM)?

   -

   E. Dammers, J. Tokaya, C. Mielke, K. Hausmann, D. Griffin, C. McLinden, H. Eskes, R. Timmermans | Journal: Geosci. Model Dev. | Volume: 17 | Year: 2024 | First page: 4983 | Last page: 5007 | doi: 10.5194/gmd-17-4983-2024

   Publication

5. Numerical Weather Prediction Ocean Calibration for the Chinese-French Oceanography Satellite Wind Scatterometer and Wind Retrieval Evaluation

   The rotating fan-beam architecture wind scatterometer Chinese-French Oceanography Satellite (CSC...

   Zhen Li, Ad Stoffelen, Anton Verhoef, Jeroen Verspeek | Journal: Earth and Space Science | Volume: 8 | Year: 2021 | First page: 1 | Last page: 17 | doi: https://doi. org/10.1029/2020EA001606

   Publication