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First 1331 results for ” V Montanaro”

  1. Near-term Climate Change: Projections and Predictability

    B Kirtman, SB Power (Coordinating Lead Authors), JA Adedoyin, GJ Boer, R Bojariu, I Camilloni, FJ Doblas-Reyes, AM Fiore, M Kimoto, GA Meehl, M Prather, A Sarr, C Schär, R Sutton, GJ van Oldenborgh, G Vecchi, HJ Wang (Lead Authors), NL Bindoff, P Cameron-Smith, Y Chikamoto, O Clifton, S Corti, PJ Durack, T Fichefet, J García-Serrano, P Ginoux, L Gray, V Guemas, E Hawkins, M Holland, C Holmes, J Infanti, M Ishii, D Jacob, J John, Z Klimont, T Knutson, G Krinner, D Lawrence, J Lu, D Murphy, V Naik, A Robock, L Rodrigues, J Sedláček, A Slater, D Smith, DS Stevenson, B van den Hurk, T van Noije, S Vavrus, A Voulgarakis, A Weisheimer, O Wild, T Woollings, P Young (Contributing Authors) | Year: 2013

    Publication

  2. Experimental evidence of rapid distortion of turbulence in the air flow over water waves

    C Mastenbroek, VK Makin, MH Garat, JP Giovanangeli | Status: published | Journal: J. Fluid Mech. | Volume: 318 | Year: 1996 | First page: 273 | Last page: 302

    Publication

  3. Attribution of the record high Central England temperature of 2014 to anthropogenic influences

    In 2014, Central England experienced its warmest year in a record extending back to 1659. Using b...

    AD King, GJ van Oldenborgh, DJ Karoly, SC Lewis, H Cullen | Status: published | Journal: Environmental Research Letters | Volume: 10 | Year: 2015 | First page: 054002 | doi: 10.1088/1748-9326/10/5/054002

    Publication

  4. Evaluation of SEVIRI retrieval of high ice water content environments with other satellite measurements (HAIC Deliverable 32.5)

    A detailed evaluation of the SEVIRI CPP High IWC mask using one full year of DARDAR data is prese...

    ATJ de Laat, JF Meirink, F Parol, R Nohra | Year: 2017

    Publication

  5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

    The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

    X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

    Publication