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First 661 results for ” D Beslusic”

1. Source contributions to two super dust storms over Northern China in March 2021 and the impact of soil moisture.

   Two extremely devastating super dust storms (SDS) hit Mongolia and Northern China in March 2021, ...

   Hanqing Kang, Bin Zhu, Gerrit de Leeuw, Ronald J. van der A, Wen , Lu | Journal: Science of the Total Environment | Volume: 950 | Year: 2024 | First page: 175289 | Last page: 12 pp | doi: doi.org/10.1016/j.scitotenv.2024.175289

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2. A Study on Typhoon Center Localization Based on an Improved Spatio-Temporally Consistent Scale-Invariant Feature Transform and Brightness Temperature Perturbations.

   Extreme weather events like typhoons have become more frequent due to global climate change. Cur...

   Yan, C.; Guang, J.; Li, Z.; de Leeuw, G.; Chen, Z. | Journal: Remote Sens. 2024 | Volume: 16 | Year: 2024 | First page: 4070 | Last page: 24 pp. | doi: https://doi.org/10.3390/rs16214070

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3. Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects

   Every five to seven years, the Intergovernmental Panel on Climate Change (IPCC) convenes the clim...

   Martina Stockhause, Alessandro Spinuso | Journal: PLOS Climate | Volume: 3(12) | Year: 2024 | doi: https://doi.org/10.1371/journal.pclm.0000533

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4. "Come as you are": Reconsidering the need for complex quality control when gridding crowd-sourced weather data

   Recording hourly-mean in situ observations of surface air temperature is a core task of most Nati...

   Jouke de Baar, Gerard van der Schrier | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: n/a | Year: 2024 | First page: 1 | Last page: 17 | doi: https://doi.org/10.1002/qj.4890

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5. Detecting Spatiotemporal Dynamics of Western European Heatwaves Using Deep Learning

   Heatwaves over western Europe are increasing faster than elsewhere, which recent studies have att...

   T. Happé, J. S. Wijnands, M. Á. Fernández-Torres, P. Scussolini, L. Muntjewerf, and D. Coumou | Journal: Artificial Intelligence for the Earth Systems | Volume: 3(4) | Year: 2024 | doi: https://doi.org/10.1175/AIES-D-23-0107.1

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