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First 2080 results for ” Brett Candy”

  1. Recent improvements in spatial regression of climate data

    Climate and weather services rely, for a large part, on data obtained from in situ measurement st...

    Jouke de Baar, Irene Garcia-Marti | Journal: NATOAVT-354 workshop on multi-fidelity methods for military vehicle design | Year: 2022 | doi: http://dx.doi.org/10.13140/RG.2.2.25417.52325

    Publication

  2. Aerosol shortwave radiative heating and cooling by the 2023 and 2017 Chilean wildfire smoke plumes

    The aerosol shortwave, direct radiative effects of smoke plumes from Chilean wildfires in 2017 an...

    M. de Graaf, L. G. Tilstra, P. Stammes | Journal: Geophysical Research Letters | Volume: 50 | Year: 2023 | First page: e2023GL104387 | doi: 10.1029/2023GL104387

    Publication

  3. In-Flight, Full-Pixel Calibration of Reflectance in Spatial Dimension for Environmental Trace Gases Monitoring Instrument

    Calibrating the top-of-atmospheric reflectance measurements of spaceborne hyperspectral atmospher...

    Yang, T., Wang, P., Si, F., Zhou, H., Zhao, M., Luo, Y., Chang, Z | Journal: Geoscience and Remote Sensing Letters | Volume: 19 | Year: 2022 | doi: https://doi.org/10.1109/LGRS.2022.3194565

    Publication

  4. A globally consistent local-scale assessment of future tropical cyclone risk

    There is considerable uncertainty surrounding future changes in tropical cyclone (TC) frequency a...

    N Bloemendaal, H de Moel, AB Martinez, S Muis, ID Haigh, K van der Wiel, RJ Haarsma, PJ Ward, MJ Roberts, JCM Dullaart, JCJH Aerts. | Journal: Science advances | Volume: 8 | Year: 2022 | First page: eabm8438 | doi: 10.1126/sciadv.abm8438

    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

    Publication