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First 4002 results for ” and Navarro-Comas”

1. The 1998-2000 SHADOZ (Southern Hemipshere Additional Ozonesondes) tropical ozone climatology 2 Stratospheric and torpospheric ozone varialibity and the zonal wave-one

   The first view of stratospheric and tropospheric ozone variability in the Southern Hemisphere tro...

   AM Thomson, JC Witte, SJ Oltmans, FJ Schmidlin, JA Logan, M Fujiwara, VWJH Kirchhoff, F Posny, GJR Goetzee, B Hoegger, S Kawakami, T Ogawa, P Fortuin, H Kelder | Status: published | Journal: J. Geophys. Res. | Volume: 108 | Year: 2003 | First page: 8241 | doi: 10.1029/2002JD002241

   Publication

2. LS3MIP (v.1.0) contribution to CMIP6: The Land Surface, Snow and Soil moisture Model Intercomparison Program - aims, set-up and expected outcome
   BJJM van den Hurk et al. | Status: published | Journal: Geoscientific Model Development | Volume: 72 | Year: 2016

   Publication

3. Assessment of post-fire changes in land surface temperature and surface albedo, and their relation with fire/burn severity using multi-temporal MODIS imagery

   This study evaluates the effects of the large 2007 Peloponnese (Greece) wildfires on changes in b...

   S Veraverbeke, WW Verstraeten, S Lhermitte, R Van De Kerchove, R Goossens | Status: published | Journal: International Journal of Wildland Fire | Volume: 21 | Year: 2012 | First page: 243 | Last page: 256 | doi: http://dx.doi.org/10.1071/WF10075

   Publication

4. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation

   Stratosphere-to-troposphere transport (STT) is an important natural source of tropospheric ozone,...

   D Akritidis, E Katragkou, P Zanis, I Pytharoulis, D Melas, J Flemming, A Inness, H Clark, M Plu, H Eskes | Status: published | Journal: Atm. Chem. Phys. | Volume: 18 | Year: 2018 | First page: 15515 | Last page: 15534 | doi: https://doi.org/10.5194/acp-18-15515-2018

   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

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