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First 3994 results for ”I.V. Lavrenov and J.R.A. Onvlee”

1. Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China

   Himawari-8 (H8), as a new generation geostationary meteorological satellite, has great potential ...

   D Li, K Qin, L Wu, L Mei Uni Bremen, IUP, G de Leeuw, Y Xue, Y Shi, Y Li | Status: published | Journal: Remote Sensing | Volume: 987 | Year: 2020 | First page: 1 | Last page: 24 | doi: https://doi.org/10.3390/rs12060978

   Publication

2. The influence of weather regimes on European renewable energy production and demand

   The growing share of variable renewable energy increases the meteorological sensitivity of power ...

   K van der Wiel, HB Bloomfield, RW Lee, LP Stoop, R Blackport, JA Screen, FM Selten | Status: published | Journal: Environmental Research Letters | Volume: 14 | Year: 2019 | First page: 094010 | doi: 10.1088/1748-9326/ab38d3

   Publication

3. Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China
   H Kang, B Zhu, RJ van der A, C Zhu, G de Leeuw, X Hou, J Gao | Status: published | Journal: Atmospheric Research | Year: 2018 | First page: 284 | Last page: 293 | doi: 10.1016/j.atmosres.2018.09.012

   Publication

4. Global fine-mode aerosol radiative effect, as constrained by comprehensive observations

   Aerosols directly affect the radiative balance of the Earth through the absorption and scattering...

   CE Chung, J-E Chu, Y Lee, T van Noije, H Jeoung, K-J Ha, M Marks | Status: published | Journal: Atmos. Chem. Phys. | Volume: 16 | Year: 2016 | First page: 8071 | Last page: 8080 | doi: 10.5194/acp-16-8071-2016

   Publication

5. Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.

   Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus...

   Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980

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