DOI: 10.1016/j.jhydrol.2020.124632
论文题名: Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over the last 40 years: Process-based analysis of systematic and random differences
作者: Nogueira M.
刊名: Journal of Hydrology
ISSN: 221694
出版年: 2020
卷: 583 语种: 英语
英文关键词: Climate
; Dynamics
; Rainfall datasets
; Rainfall variability
; Reanalysis
Scopus关键词: Dynamics
; Errors
; Mean square error
; Moisture
; Natural convection
; Tropics
; Weather forecasting
; Climate
; Eastern tropical pacific
; Global precipitation climatology projects
; Moisture flux convergences
; Rainfall variability
; Reanalysis
; Root mean squared errors
; Surface evaporation
; Rain
; climate change
; data set
; error correction
; moisture flux
; rainfall
; spatial resolution
; thermodynamics
; weather forecasting
; Africa
; Andes
; Himalayas
; Pacific Ocean
; Pacific Ocean (Tropical)
英文摘要: This study presents a comprehensive inter-comparison between two widely used rainfall datasets – the Global Precipitation Climatology Project (GPCP) and the ERA-Interim reanalysis – and the recently released ERA-5, which will replace ERA-Interim as the main European Centre for Medium-Range Weather and Forecasting (ECMWF) reanalysis by 2020. Systematic and random error components were computed for the reanalysis datasets over the 1979–2018 period using GPCP as reference. The analysis was taken at monthly timescale at 2.5° spatial resolution, limited by GPCP. Despite its resolution limitations and complex algorithms, GPCP has been extensively used for model evaluation due to its global and long-term (over 40 years) coverage. Over most of the tropics, and over localized mid-latitude regions, ERA-5 showed lower bias and unbiased root-mean squared error (ubRMSE), as well as higher correlations, compared to ERA-Interim. Throughout the rest of the globe, these error metrics displayed similar values between both reanalysis, except over localized regions of the eastern tropical Pacific, the Andes and the Himalayas, where ERA-Interim outperformed ERA-5. A process-based analysis revealed that ERA-Interim tended to overestimate deep convection and moisture flux convergence over the tropical oceans and land, leading to excessive rainfall. Similarly, ERA-Interim showed significant rainfall underestimation over the mid-latitude oceans due to underestimation of deep convection and moisture flux convergence. Both cases were significantly improved in ERA-5, likely due to its improved parameterizations and higher resolution. Indeed, the differences in monthly rainfall between the two reanalysis were mainly due to improved dynamical (circulation) rather than thermodynamical (Clausius-Clapeyron) processes or surface evaporation changes. Nonetheless, the results also revealed improved representation of the moisture sink/source patterns over the tropical oceans in ERA-5. Finally, there were significant differences in the long-term rainfall trend patterns amongst the three datasets (with differences reaching ~30%/decade), that can extend even to the sign of the trend, with the most notorious differences occurring over tropical Africa. Furthermore, ERA-5 didn't show improved representation of these trends. In fact, the trend of global-mean rainfall in ERA-Interim was closer to GPCP than ERA-5. © 2020 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158483
Appears in Collections: 气候变化与战略
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作者单位: Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisbon, 1749-016, Portugal
Recommended Citation:
Nogueira M.. Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over the last 40 years: Process-based analysis of systematic and random differences[J]. Journal of Hydrology,2020-01-01,583