How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part II: Extreme Temperature DOI Creative Commons
Wanling Xu, Xiangyong Lei,

Shiting Chen

et al.

Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10

Published: June 27, 2022

The fifth-generation atmospheric reanalysis of the European Center for Medium-Range Weather Forecasts (ERA5) is latest product. However, reliability ERA5 to capture extreme temperatures still unclear over China. Hence, based on conventional meteorological station data, a new criterion (DISO) was used validate capturing temperature indices derived from Expert Team Climate Change Detection and Indices (ETCCDI) across six subregions China different timescales. conclusions are as follows: original daily (mean temperature, maximum minimum temperature) can be well reproduced by tends exhibit more misdetection duration events than intensity frequency. In addition, performed best in summer worst winter, respectively. trend absolute (e.g., TXx TNx), percentile-based TX90p, TX10p, TN90p, TN10p), WSDI, CSDI, GSL) captured ERA5, but failed tendency diurnal range (DTR) Spatially, performs southeastern it remains challenging accurately recreate Tibetan Plateau. elevation difference between grid point contributes main bias temperatures. accuracy decreases with increase discrepancy.

Language: Английский

Recent changes in global dryland temperature and precipitation DOI
Mojolaoluwa Toluwalase Daramola, Ming Xu

International Journal of Climatology, Journal Year: 2021, Volume and Issue: 42(2), P. 1267 - 1282

Published: July 20, 2021

Abstract Changes in dryland temperature and precipitation are essential components of climate change. This study applies the use monthly reanalysis data product ERA5, which has a spatial resolution 0.25°, to investigate changes between 1979 2018. The result revealed warming drying drylands recent decades, most notably current decade. general global increased decreased significantly (0.01 significance level) at rate 0.032°C·year −1 0.074 mm·month ·year , respectively, last 40 years. Although generally over drylands, summer southern Africa Australia as well northern south Asia areas. Variation zones different periods was also observed. semiarid dry subhumid warmed continually from first decade (0.02°C·year 0.017°C·year ) fourth (0.077°C·year 0.065°C·year respectively), while hyperarid slower two decades compared prior decades. More intense observed areas where decreased, suggesting effect reduced evaporative cooling. These have implications on environment, such aridity changes, could affect sustainable development through corresponding impact ecosystem.

Language: Английский

Citations

43

Verification of ERA5 and ERA-Interim precipitation over Africa at intra-annual and interannual timescales DOI
Jessica Steinkopf, François Engelbrecht

Atmospheric Research, Journal Year: 2022, Volume and Issue: 280, P. 106427 - 106427

Published: Sept. 6, 2022

Language: Английский

Citations

34

Where does the link between atmospheric moisture transport and extreme precipitation matter? DOI Creative Commons
Luis Gimeno‐Sotelo, Luís Gimeno

Weather and Climate Extremes, Journal Year: 2022, Volume and Issue: 39, P. 100536 - 100536

Published: Dec. 6, 2022

Atmospheric moisture transport is the primary component of atmospheric branch water cycle, and its anomalies strongly influence drought precipitation extremes. We utilised full geographical temporal spectrum ERA-5 reanalysis data extreme value theory to identify regions where transport, quantified as local integrated vertical (IVT), influences daily precipitation, this has a relevant dynamic component, which may alter dependency between IVT temperatures increase with climate change. showed that weak or negligible in tropical strong but nonuniform extratropical regions. Its much greater areas main mechanisms occur, namely, rivers, low-level jets, cyclones. The IVT, linked wind, highly consequential landfalling cyclones, moisture-transporting jets.

Language: Английский

Citations

33

Northward Expansion of Desert Climate in Central Asia in Recent Decades DOI Creative Commons
Qi Hu, Zihang Han

Geophysical Research Letters, Journal Year: 2022, Volume and Issue: 49(11)

Published: May 27, 2022

Abstract Climate variation in Central Asia is examined using changes of climate classification to obtain geographically specific information the across region. Major results show northward expansion desert by over 100 km mid‐latitudes region since 1980s. In meantime, all types climates have increased temperatures. mountainous areas, previous cold replaced warmer and also wetter climate. These could largely resulted fast retreat glaciers temporary rise groundwater water levels lakes drainage areas recent decades. Because different are associated with flora fauna, shifts locations elevated potential initiate new feedbacks ecological systems complicate its variation.

Language: Английский

Citations

31

How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part II: Extreme Temperature DOI Creative Commons
Wanling Xu, Xiangyong Lei,

Shiting Chen

et al.

Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10

Published: June 27, 2022

The fifth-generation atmospheric reanalysis of the European Center for Medium-Range Weather Forecasts (ERA5) is latest product. However, reliability ERA5 to capture extreme temperatures still unclear over China. Hence, based on conventional meteorological station data, a new criterion (DISO) was used validate capturing temperature indices derived from Expert Team Climate Change Detection and Indices (ETCCDI) across six subregions China different timescales. conclusions are as follows: original daily (mean temperature, maximum minimum temperature) can be well reproduced by tends exhibit more misdetection duration events than intensity frequency. In addition, performed best in summer worst winter, respectively. trend absolute (e.g., TXx TNx), percentile-based TX90p, TX10p, TN90p, TN10p), WSDI, CSDI, GSL) captured ERA5, but failed tendency diurnal range (DTR) Spatially, performs southeastern it remains challenging accurately recreate Tibetan Plateau. elevation difference between grid point contributes main bias temperatures. accuracy decreases with increase discrepancy.

Language: Английский

Citations

31