{"title":"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","authors":"J. Räisänen","doi":"10.5194/tc-17-1913-2023","DOIUrl":null,"url":null,"abstract":"Abstract. Trends in March mean snow water equivalent (SWE) in the\nNorthern Hemisphere are attributed to changes in three main factors: total\nprecipitation (P), fraction of precipitation as snowfall (F), and fraction of\naccumulated snowfall remaining on the ground (G). This trend attribution is\nrepeated for two reanalyses (ERA5-Land from March 1951 to 2022 and MERRA2 – Modern-Era\nRetrospective analysis for Research and Applications, Version 2 –\nfrom 1981 to 2022) and simulations by 22 climate models from the 6th phase\nof the Coupled Model Intercomparison Project (CMIP6). The results reveal a\ndecrease in SWE in most of the Northern Hemisphere, as decreases in F and G\ndominate over mostly positive trends in P. However, there is spatial\nvariability in both the magnitude and sign of these trends. There is\nsubstantial variation between the individual CMIP6 models, but the agreement\nbetween the CMIP6 multi-model mean and ERA5-Land is reasonable for both the\narea means and the geographical distribution of the trends from 1951 to\n2022, with a spatial correlation of 0.51 for the total SWE trend. The\nagreement for the trends from 1981 to 2022 is worse, probably partly due to\ninternal climate variability but also due to the overestimation of the\nrecent warming in the CMIP6 models. Over this shorter period for which\nERA5-Land can be compared with MERRA2, there are also marked trend\ndifferences between these two reanalyses. However, the SWE decreases\nassociated with reduced snowfall fraction (F) are more consistent between the\ndifferent data sets than the trends resulting from changes in P and G.\n","PeriodicalId":56315,"journal":{"name":"Cryosphere","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Changes in March mean snow water equivalent since the mid-20th century and the contributing factors in reanalyses and CMIP6 climate models\",\"authors\":\"J. Räisänen\",\"doi\":\"10.5194/tc-17-1913-2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Trends in March mean snow water equivalent (SWE) in the\\nNorthern Hemisphere are attributed to changes in three main factors: total\\nprecipitation (P), fraction of precipitation as snowfall (F), and fraction of\\naccumulated snowfall remaining on the ground (G). This trend attribution is\\nrepeated for two reanalyses (ERA5-Land from March 1951 to 2022 and MERRA2 – Modern-Era\\nRetrospective analysis for Research and Applications, Version 2 –\\nfrom 1981 to 2022) and simulations by 22 climate models from the 6th phase\\nof the Coupled Model Intercomparison Project (CMIP6). The results reveal a\\ndecrease in SWE in most of the Northern Hemisphere, as decreases in F and G\\ndominate over mostly positive trends in P. However, there is spatial\\nvariability in both the magnitude and sign of these trends. There is\\nsubstantial variation between the individual CMIP6 models, but the agreement\\nbetween the CMIP6 multi-model mean and ERA5-Land is reasonable for both the\\narea means and the geographical distribution of the trends from 1951 to\\n2022, with a spatial correlation of 0.51 for the total SWE trend. The\\nagreement for the trends from 1981 to 2022 is worse, probably partly due to\\ninternal climate variability but also due to the overestimation of the\\nrecent warming in the CMIP6 models. Over this shorter period for which\\nERA5-Land can be compared with MERRA2, there are also marked trend\\ndifferences between these two reanalyses. However, the SWE decreases\\nassociated with reduced snowfall fraction (F) are more consistent between the\\ndifferent data sets than the trends resulting from changes in P and G.\\n\",\"PeriodicalId\":56315,\"journal\":{\"name\":\"Cryosphere\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2023-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cryosphere\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.5194/tc-17-1913-2023\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cryosphere","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/tc-17-1913-2023","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
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.
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.