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First 1091 results for ”SA 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