State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, 71 East Beijing Road, 210008 Nanjing, China.
National Hydrology Research Centre, Environment Canada, 11 Innovation Boulevard, Saskatoon, Canada.
Sci Total Environ. 2020 May 1;715:136970. doi: 10.1016/j.scitotenv.2020.136970. Epub 2020 Jan 28.
Extreme precipitation is a major issue for regional climate, hydrology, and safety of society. Our knowledge of extreme precipitation is poor because of difficulties in gauge observations and biases in regional and global datasets, in particular over the snow dominated regions. Here we investigate and report the distribution and magnitude of under-measured of the maximum daily total precipitation (herein daily maximum precipitation) due to biases in manual gauge observations in the high latitudes (over 45°N), using historical data during 1973-2004. We find remarkable patterns in under-measured of the long-term mean daily maximum precipitation and their association to regional climatic regimes. In contrast to relatively small and large-scale under-measured (<5 mm) of daily maximum rainfall, the biases in daily maximum snowfall are very serious, with the regional high values over 15 mm along the Ural Mountains and the coasts of east Asia, Greenland, in particular northern Eurasia coasts. The frequency distribution of observed daily maximum snowfall underestimate significantly the higher risk events over the high latitudes. Furthermore, defining the phase of extreme precipitation should be cautious over the northern regions, in particular the coasts. These results clearly demonstrate the urgent need to review and update precipitation datasets including recent automatic gauge observations and the knowledge of climate regimes and extremes over the broader northern regions.
极端降水是区域气候、水文学和社会安全的主要问题。由于雨量计观测的困难和区域及全球数据集的偏差,特别是在以雪为主的地区,我们对极端降水的了解还很有限。本研究利用 1973-2004 年的历史数据,调查并报告了高纬度地区(北纬 45°以上)由于人工雨量计观测偏差导致的最大日总降水量(以下简称日最大降水量)被低估的分布和程度。我们发现,长期平均日最大降水量的低估程度及其与区域气候模式之间存在显著的模式。与相对较小和较大规模的日最大降雨量(<5 毫米)的低估相比,日最大降雪量的偏差非常严重,在乌拉尔山脉和东亚海岸以及格陵兰岛,特别是在欧亚大陆北部海岸,区域高值超过 15 毫米。观测到的日最大降雪量低估的频率分布显著低估了高纬度地区的高风险事件。此外,在北部地区,特别是在沿海地区,定义极端降水的阶段应谨慎。这些结果清楚地表明,迫切需要审查和更新降水数据集,包括最近的自动雨量计观测以及更广泛的北部地区的气候模式和极端事件的知识。