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  Updated Assessment of Temperature Extremes over the Middle East-North Africa (MENA) Region from Observational and CMIP5 Data

Ntoumos, A., Hadjinicolaou, P., Zittis, G., & Lelieveld, J. (2020). Updated Assessment of Temperature Extremes over the Middle East-North Africa (MENA) Region from Observational and CMIP5 Data. Atmosphere, 11(8): 813. doi:10.3390/atmos11080813.

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Ntoumos, Athanasios1, Author
Hadjinicolaou, Panos1, Author
Zittis, George1, Author
Lelieveld, Jos2, Author           
Affiliations:
1external, ou_persistent22              
2Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              

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 Abstract: The objective of this analysis is to provide an up-to-date observation-based assessment of the evolution of temperature extremes in the Middle East–North Africa (MENA) region and evaluate the performance of global climate model simulations of the past four decades. A list of indices of temperature extremes, based on absolute level, threshold, percentile and duration is used, as defined by the Expert Team on Climate Change Detection and Indices (ETCCDI). We use daily near-surface air temperature (Tmax and Tmin) to derive the indices of extremes for the period 1980–2018 from: (i) re-analyses (ERA-Interim, MERRA-2) and gridded observational data (Berkeley Earth) and (ii) 18 CMIP5 model results combining historical (1950–2005) and scenario runs (2006–2018 under RCP 2.6, RCP 4.5 and RCP 8.5). The CMIP5 results show domain-wide strong, statistically significant warming, while the observation based ones are more spatially variable. The CMIP5 models capture the climatology of the hottest areas in the western parts of northern Africa and the Gulf region with the thewarmest day (TXx) > 46 °C and warmest night (TNx) > 33 °C. For these indices, the observed trends are about 0.3–0.4 °C/decade while they are 0.1–0.2 °C/decade stronger in the CMIP5 results. Overall, the modeled climate warming up to 2018, as reflected in the indices of temperature extremes is confirmed by re-analysis and observational data.

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Language(s): eng - English
 Dates: 2020-08
 Publication Status: Published online
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 Rev. Type: -
 Identifiers: ISI: 000567327200001
DOI: 10.3390/atmos11080813
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Title: Atmosphere
Source Genre: Journal
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Publ. Info: Basel, Switzerland : MDPI AG
Pages: - Volume / Issue: 11 (8) Sequence Number: 813 Start / End Page: - Identifier: ISSN: 2073-4433
CoNE: https://pure.mpg.de/cone/journals/resource/2073-4433