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

0522715 - ÚFA 2021 RIV CH eng J - Journal Article
Kozubek, Michal - Križan, Peter - Laštovička, Jan
Homogeneity of the Temperature Data Series from ERA5 and MERRA2 and Temperature Trends.
Atmosphere. Roč. 11, č. 3 (2020), č. článku 235. E-ISSN 2073-4433
R&D Projects: GA ČR(CZ) GA18-01625S
Institutional support: RVO:68378289
Keywords : reanalyses * trends * climatology * homogeneity test
OECD category: Meteorology and atmospheric sciences
Impact factor: 2.686, year: 2020
Method of publishing: Open access
https://www.mdpi.com/2073-4433/11/3/235

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.
Permanent Link: http://hdl.handle.net/11104/0307163