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DOI | 10.5194/acp-19-9241-2019 |
The sensitivity of oceanic precipitation to sea surface temperature | |
Burdanowitz J.; Buehler S.A.; Bakan S.; Klepp C. | |
发表日期 | 2019 |
ISSN | 16807316 |
起始页码 | 9241 |
结束页码 | 9252 |
卷号 | 19期号:14 |
英文摘要 | Our study forms the oceanic counterpart to numerous observational studies over land concerning the sensitivity of extreme precipitation to a change in air temperature. We explore the sensitivity of oceanic precipitation to changing sea surface temperature (SST) by exploiting two novel datasets at high resolution. First, we use the Ocean Rainfall And Ice-phase precipitation measurement Network (OceanRAIN) as an observational along-track shipboard dataset at 1 min resolution. Second, we exploit the most recent European Reanalysis version 5 (ERA5) at hourly resolution on a 31 km grid. Matched with each other, ERA5 vertical velocity allows the constraint of the OceanRAIN precipitation. Despite the inhomogeneous sampling along ship tracks, OceanRAIN agrees with ERA5 on the average latitudinal distribution of precipitation with fairly good seasonal sampling. However, the 99th percentile of OceanRAIN precipitation follows a super Clausius-Clapeyron scaling with a SST that exceeds 8.5 % K-1 while ERA5 precipitation scales with 4.5 % K-1. The sensitivity decreases towards lower precipitation percentiles, while OceanRAIN keeps an almost constant offset to ERA5 due to higher spatial resolution and temporal sampling. Unlike over land, we find no evidence for a decreasing precipitation event duration with increasing SST. ERA5 precipitation reaches a local minimum at about 26 ĝC that vanishes when constraining vertical velocity to strongly rising motion and excluding areas of weak correlation between precipitation and vertical velocity. This indicates that instead of moisture limitations as over land, circulation dynamics rather limit precipitation formation over the ocean. For the strongest rising motion, precipitation scaling converges to a constant value at all precipitation percentiles. Overall, high resolutions in observations and climate models are key to understanding and predicting the sensitivity of oceanic precipitation extremes to a change in SST. © Author(s) 2019. |
语种 | 英语 |
scopus关键词 | climate modeling; data set; precipitation (climatology); resolution; sampling; sea surface temperature; sensitivity analysis; spatiotemporal analysis |
来源期刊 | Atmospheric Chemistry and Physics
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/144266 |
作者单位 | Max Planck Institute for Meteorology Hamburg, Bundesstr. 53, Hamburg, 20146, Germany; Meteorological Institute, Center for Earth System Research and Sustainability, Universität Hamburg, Bundesstr. 55, Hamburg, 20146, Germany |
推荐引用方式 GB/T 7714 | Burdanowitz J.,Buehler S.A.,Bakan S.,et al. The sensitivity of oceanic precipitation to sea surface temperature[J],2019,19(14). |
APA | Burdanowitz J.,Buehler S.A.,Bakan S.,&Klepp C..(2019).The sensitivity of oceanic precipitation to sea surface temperature.Atmospheric Chemistry and Physics,19(14). |
MLA | Burdanowitz J.,et al."The sensitivity of oceanic precipitation to sea surface temperature".Atmospheric Chemistry and Physics 19.14(2019). |
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