自20世纪中期以来3月平均雪水当量的变化以及再分析和CMIP6气候模式中的促成因素

IF 4.4 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Cryosphere Pub Date : 2023-05-09 DOI:10.5194/tc-17-1913-2023
J. Räisänen
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引用次数: 1

摘要

摘要北半球3月份平均雪水当量(SWE)的趋势归因于三个主要因素的变化:总降水量(P)、降水量作为降雪量的分数(F)和地面累积降雪量的百分比(G)。这一趋势归因适用于两次重新分析(1951年3月至2022年的ERA5 Land和MERRA2——现代Era研究和应用回顾分析,第2版——1981年至2022年),以及耦合模型相互比较项目(CMIP6)第六阶段的22个气候模型的模拟。结果显示,北半球大部分地区的SWE增加,因为F和G的减少超过了P的大部分积极趋势。然而,这些趋势的幅度和符号都存在空间变异性。个别CMIP6模型之间存在实质性差异,但CMIP6多模型平均值和ERA5 Land之间的一致性对于1951年至2022年趋势的面积平均值和地理分布都是合理的,总SWE趋势的空间相关性为0.51。对1981年至2022年趋势的一致性更差,部分原因可能是内部气候变化,但也可能是CMIP6模型高估了局部变暖。在ERA5 Land可以与MERRA2进行比较的较短时间内,这两次重新分析之间也存在显著的趋势差异。然而,与P和G的变化趋势相比,不同数据集之间与降雪量减少(F)相关的SWE减少更为一致。
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Changes in March mean snow water equivalent since the mid-20th century and the contributing factors in reanalyses and CMIP6 climate models
Abstract. Trends in March mean snow water equivalent (SWE) in the Northern Hemisphere are attributed to changes in three main factors: total precipitation (P), fraction of precipitation as snowfall (F), and fraction of accumulated snowfall remaining on the ground (G). This trend attribution is repeated for two reanalyses (ERA5-Land from March 1951 to 2022 and MERRA2 – Modern-Era Retrospective analysis for Research and Applications, Version 2 – from 1981 to 2022) and simulations by 22 climate models from the 6th phase of the Coupled Model Intercomparison Project (CMIP6). The results reveal a decrease in SWE in most of the Northern Hemisphere, as decreases in F and G dominate over mostly positive trends in P. However, there is spatial variability in both the magnitude and sign of these trends. There is substantial variation between the individual CMIP6 models, but the agreement between the CMIP6 multi-model mean and ERA5-Land is reasonable for both the area means and the geographical distribution of the trends from 1951 to 2022, with a spatial correlation of 0.51 for the total SWE trend. The agreement for the trends from 1981 to 2022 is worse, probably partly due to internal climate variability but also due to the overestimation of the recent warming in the CMIP6 models. Over this shorter period for which ERA5-Land can be compared with MERRA2, there are also marked trend differences between these two reanalyses. However, the SWE decreases associated with reduced snowfall fraction (F) are more consistent between the different data sets than the trends resulting from changes in P and G.
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来源期刊
Cryosphere
Cryosphere GEOGRAPHY, PHYSICAL-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
8.70
自引率
17.30%
发文量
240
审稿时长
4-8 weeks
期刊介绍: The Cryosphere (TC) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on all aspects of frozen water and ground on Earth and on other planetary bodies. The main subject areas are the following: ice sheets and glaciers; planetary ice bodies; permafrost and seasonally frozen ground; seasonal snow cover; sea ice; river and lake ice; remote sensing, numerical modelling, in situ and laboratory studies of the above and including studies of the interaction of the cryosphere with the rest of the climate system.
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