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Homogeneity of the Temperature Data Series from ERA5 and MERRA2 and Temperature Trends

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F20%3A00522715" target="_blank" >RIV/68378289:_____/20:00522715 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2073-4433/11/3/235" target="_blank" >https://www.mdpi.com/2073-4433/11/3/235</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/atmos11030235" target="_blank" >10.3390/atmos11030235</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Homogeneity of the Temperature Data Series from ERA5 and MERRA2 and Temperature Trends

  • Original language description

    The stratosphere and its dynamics are a very important part of atmospheric circulation. We need to analyze its climatology, as well as long-term trends. A long-term trend study needs homogenous datasets without significant artificial discontinuities. The analysis is based on the two newest released reanalyses, Modern Era-Retrospective Analysis (MERRA2) and European Center for Medium-Range Weather Forecast Reanalysis (ERA5). The aim of this study is to detect discontinuities in the temperature time series from the above reanalyses with the help of the Pettitt homogeneity test for pressure layers above 500 hPa up to 1 hPa in January and February, and show a comparison of temperature trends from the studied reanalyses and GPS radio occultation (GPS RO). We search for individual grid points where these discontinuities occur, and also for the years when they occur (geographical and temporal distribution). As expected, the study confirms better results for the Northern Hemisphere due to the denser data coverage. A high number of grid points with jumps on the Southern Hemisphere is found, especially at higher pressure levels (from 50 hPa). The spatial and vertical distribution of discontinuities is also presented. The vertical distribution reveals the reduction of the number of jumps around 10 hPa, especially for ERA5 reanalysis. The results show that ERA5 has significantly less jumps than MERRA2. We also study temperature trends from reanalyses and GPS RO and our analysis shows that the agreement between the reanalyses and observations are very good for the period 2006–2018.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

    <a href="/en/project/GA18-01625S" target="_blank" >GA18-01625S: The influence of greenhouse gases and other drivers on long-term trends in the stratosphere-mesosphere-thermosphere-ionosphere system</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Atmosphere

  • ISSN

    2073-4433

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    13

  • Pages from-to

    235

  • UT code for WoS article

    000524490500022

  • EID of the result in the Scopus database

    2-s2.0-85082302915