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Homogeneity of the temperature data series from ERA 5 and MERRA 2

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    0553741 - ÚFA 2022 BG eng A - Abstract
    Križan, Peter - Laštovička, Jan
    Homogeneity of the temperature data series from ERA 5 and MERRA 2.
    Book of Abstracts: Twelfth Workshop "Solar Influences on the Magnetosphere, Ionosphere and Atmosphere". Sofia: Space Research and Technology Institute, Bulgarian Academy of Sciences, 2020.
    [Workshop "Solar Influences on the Magnetosphere, Ionosphere and Atmosphere" /12./. 01.06.2020-05.06.2020, Primorsko]
    Institutional support: RVO:68378289
    Keywords : long-term trends * reanalysis * stratosphere
    OECD category: Meteorology and atmospheric sciences
    http://ws-sozopol.stil.bas.bg/

    Stratosphere and its dynamics is very important part of atmospheric circulation. We need to analyze its climatology as well as long-term trends. Long-term trend study needs homogenous datasets without any artificial breakpoints. The analysis is based on the two newest released reanalyses MERRA -2 (Modern Era-Retrospective Analysis) and ERA 5 (European Center for Middle Weather Forecast Reanalysis). The aim of this study is a detection of breakpoints in the temperature time series from the reanalyses with the help of the Pettit homogeneity test for all pressure layers above 500 hPa in January and February. We are looking for individual grid points where these breakpoints occur and also for years when they occur (geographical and temporal distribution). It is expected and the study confirms better results for the Northern Hemisphere due to the denser data. We can see very high number of grid points with jumps on the Southern Hemisphere especially at higher pressure levels (from 50 hPa). The spatial and vertical distribution of breakpoints is presented as well. The vertical distribution shows us the reduction of jumps around 10 hPa especially for ERA 5 reanalysis. Results show that ERA 5 has significantly less jumps than MERRA 2. Our results also indicate that reanalyses especially ERA 5 can be used for trend studies.
    Permanent Link: http://hdl.handle.net/11104/0328478

     
     
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