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First 768 results for ”Reno Sit ”

1. Hurricane Ocean Wind Speeds

   How strong does the wind blow in a hurricane? This proves a question that is difficult to answer,...

   Ad Stoffelen, Gert-Jan Marseille, Weicheng Ni, Alexis Mouche, Federica Polverari, Marcos Portabella, Wenming Lin, Joe Sapp, Paul Chang, Zorana Jelenak | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9554667

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2. Uncertainty in Aqua-MODIS Aerosol Retrieval Algorithms during COVID-19 Lockdown.

   — This letter reports uncertainties in the AquaModerate Resolution Imaging Spectroradiometer (MOD...

   Bilal, M., Qiu, Z., Nichol, J.E., Mhawish, A., Ali, M.A., Khedher, K.M., de Leeuw, G., Yu, W., Tiwari. P., Nazeer, M., and Bleiweiss, M.P. | Journal: IEEE Geoscience and Remote Sensing Letters | Year: 2021 | doi: 10.1109/LGRS.2021.3077189

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3. Threefold reduction of modeled uncertainty in direct radiative effects by constraining absorbing aerosols over biomass burning regions

   Absorbing aerosols emitted from biomass burning (BB) greatly affect the radiation balance, cloudi...

   Q Zhong, N Schutgens, GR van der Werf, T Takemura, T van Noije, T Mielonen, R Checa-Garcia, U Lohmann, A Kirkevåg, DJL Olivié, H Kokkola, H Matsui, Z Kipling, P Ginoux, P Le Sager, S Rémy, H Bian, Mian Chin, K Zhang, SE Bauer, K Tsigaridis | Journal: Sci. Adv. | Volume: 9 | Year: 2023 | First page: eadi3568 | doi: 10.1126/sciadv.adi3568

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4. Evaluating the performance of commonly used gas analysers for methane eddy covariance flux measurements: the InGOS inter-comparison field experiment

   The performance of eight fast-response methane (CH4) gas analysers suitable for eddy covariance f...

   O Peltola, A Hensen, C Helfter, L Belelli Marchesini, FC Bosveld, WCM van den Bulk, Elbers, Haapanala, Holst, Laurila, Lindroth, Nemitz, Röckmann, Vermeulen, Mammarella | Status: published | Journal: Biogeosciences | Volume: 11 | Year: 2014 | First page: 3163 | Last page: 3186 | doi: 10.5194/bg-11-3163-2014

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5. Offshore wind climatology based on synergetic use of Envisat ASAR, ASCAT and QuikSCAT

   Highlights: • We combine satellite surface ocean wind vector data from three satellites. • Offsho...

   C Hasager, A Mouche, M Badger, F Bingol, I Karagali, T Driesenaar, A Stoffelen, A Pina, N Longepe | Status: published | Journal: Remote Sens. Environ. | Volume: 156 | Year: 2014 | First page: 247 | Last page: 263 | doi: doi:10.1016/j.rse.2014.09.030

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