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| DOI | 10.1007/s00382-018-4153-z |
| The sensitivity of the atmospheric branch of the global water cycle to temperature fluctuations at synoptic to decadal time-scales in different satellite- and model-based products | |
| Nogueira M. | |
| 发表日期 | 2019 |
| ISSN | 0930-7575 |
| 起始页码 | 617 |
| 结束页码 | 636 |
| 卷号 | 52期号:2020-01-02 |
| 英文摘要 | Spectral analysis of global-mean precipitation, P, evaporation, E, precipitable water, W, and surface temperature, T s , revealed significant variability from sub-daily to multi-decadal time-scales, superposed on high-amplitude diurnal and yearly peaks. Two distinct regimes emerged from a transition in the spectral exponents, β. The weather regime covering time-scales < ~ 10 days with β ≥ 1; and the macroweather regime extending from a few months to a few decades with 0 <β <1. Additionally, the spectra showed a generally good statistical agreement amongst several different model- and satellite-based datasets. Detrended cross-correlation analysis (DCCA) revealed three important results which are robust across all datasets: (1) Clausius–Clapeyron (C–C) relationship is the dominant mechanism of W non-periodic variability at multi-year time-scales; (2) C–C is not the dominant control of W, P or E non-periodic variability at time-scales below about 6 months, where the weather regime is approached and other mechanisms become important; (3) C–C is not a dominant control for P or E over land throughout the entire time-scale range considered. Furthermore, it is suggested that the atmosphere and oceans start to act as a single coupled system at time-scales > ~ 1–2 years, while at time-scales < ~ 6 months they are not the dominant drivers of each other. For global-ocean and full-globe averages, ρ DCCA showed large spread of the C–C importance for P and E variability amongst different datasets at multi-year time-scales, ranging from negligible (< 0.3) to high (~ 0.6–0.8) values. Hence, state-of-the-art climate datasets have significant uncertainties in the representation of macroweather precipitation and evaporation variability and its governing mechanisms. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. |
| 英文关键词 | Clausius–Clapeyron; Climate sensitivity; Climate variability; Detrended cross-correlation analysis; Global water cycle; Multiscale analysis |
| 语种 | 英语 |
| scopus关键词 | climate change; correlation; data set; decadal variation; evaporation; global ocean; precipitable water; satellite data; sensitivity analysis; spectral analysis; synoptic meteorology; temperature anomaly |
| 来源期刊 | Climate Dynamics
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/146632 |
| 作者单位 | Instituto Dom Luiz, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, Lisbon, 1749-016, Portugal |
| 推荐引用方式 GB/T 7714 | Nogueira M.. The sensitivity of the atmospheric branch of the global water cycle to temperature fluctuations at synoptic to decadal time-scales in different satellite- and model-based products[J],2019,52(2020-01-02). |
| APA | Nogueira M..(2019).The sensitivity of the atmospheric branch of the global water cycle to temperature fluctuations at synoptic to decadal time-scales in different satellite- and model-based products.Climate Dynamics,52(2020-01-02). |
| MLA | Nogueira M.."The sensitivity of the atmospheric branch of the global water cycle to temperature fluctuations at synoptic to decadal time-scales in different satellite- and model-based products".Climate Dynamics 52.2020-01-02(2019). |
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