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First 1091 results for ” P Monks”

  1. 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

    Publication

  2. A new TROPOMI product for tropospheric NO2 columns over East Asia with explicit aerosol corrections

    We present a new product with explicit aerosol corrections, POMINO-TROPOMI, for tropospheric nitr...

    M Liu, J Lin, H Kong, F K Boersma, H J Eskes, Y Kanaya, Q He, X Tian, K Qin, P Xie, R Spurr, R Ni, Y Yan, H Weng, J Wang | Status: accepted | Journal: Atmos. Meas. Tech. | Volume: 13 | Year: 2020 | First page: 4247 | Last page: 4259 | doi: 10.5194/amt-13-4247-2020

    Publication

  3. Towards Consistent Wind Observations from C- and KU-Band Scatterometers

    In the context of the ocean surface vector wind virtual constellation, the combined wind products...

    Wenming Lin, Marcos Portabella, Sirui Lv, Ad Stoffelen, Zhixiong Wang | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9553944

    Publication

  4. Space Weather Services for Civil Aviation—Challenges and Solutions

    This paper presents a review on the PECASUS service, which provides advisories on enhanced space ...

    Kauristie, Kirsti et al., Eelco Doornbos, Kasper van Dam, Bert van den Oord | Journal: Remote Sensing | Volume: 13 | Year: 2021 | First page: 3685 | doi: 10.3390/rs13183685

    Publication

  5. Workflows in a Dashboard: A New Generation of Usability

    In the last 20 years quite a few mature workflow engines and workflow editors have been developed...

    Sandra Gesing, Alessandro Spinuso | Journal: 9th Workshop on Workflows in Support of Large-Scale Science | Year: 2014 | doi: 10.1109/WORKS.2014.6

    Publication