{"title":"Evaluating the Twentieth Century Reanalysis Version 3 with synoptic typing and East Antarctic ice core accumulation","authors":"Max T. Nilssen, Danielle G. Udy, Tessa R. Vance","doi":"10.5194/cp-2024-39","DOIUrl":null,"url":null,"abstract":"<strong>Abstract.</strong> Weather systems in the southern Indian Ocean influence East Antarctic precipitation variability and surface mass balance. However, long term variability in synoptic-scale weather systems in this region is not well understood due to short instrumental records that are mostly limited to the satellite era (post 1979). Ice core records from coastal East Antarctica suggest significant decadal variability in snowfall accumulation, indicating that data from the satellite era alone is not enough to characterise climate variability in the high southern latitudes. It is therefore challenging to contextualise recent precipitation trends and extremes in relation to climate change in this area. We used synoptic typing of daily 500 hPa geopotential height anomalies and the Law Dome ice core (East Antarctica) annual snowfall accumulation record to investigate whether the Twentieth Century Reanalysis project can represent the synoptic conditions associated with increased precipitation at Law Dome prior to the satellite era. Twelve synoptic types were identified using self-organising maps based on their dominant pressure anomaly patterns over the southern Indian Ocean, with four types associated with above average daily precipitation at Law Dome. Our results indicate that the Twentieth Century Reanalysis project can reliably represent the meridional synoptic conditions associated with increased precipitation at Law Dome from 1948, aligning with the assimilation of consistent surface pressure data from weather stations in the southern Indian Ocean. This extends the time period available to contextualise recent trends and extremes in precipitation and synoptic weather conditions by up to three decades beyond the satellite era. These results will help contextualise East Antarctic surface mass balance variability prior to the satellite era, with implications for improved understanding of the largest source of potential sea level rise.","PeriodicalId":10332,"journal":{"name":"Climate of The Past","volume":"13 1","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate of The Past","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/cp-2024-39","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract. Weather systems in the southern Indian Ocean influence East Antarctic precipitation variability and surface mass balance. However, long term variability in synoptic-scale weather systems in this region is not well understood due to short instrumental records that are mostly limited to the satellite era (post 1979). Ice core records from coastal East Antarctica suggest significant decadal variability in snowfall accumulation, indicating that data from the satellite era alone is not enough to characterise climate variability in the high southern latitudes. It is therefore challenging to contextualise recent precipitation trends and extremes in relation to climate change in this area. We used synoptic typing of daily 500 hPa geopotential height anomalies and the Law Dome ice core (East Antarctica) annual snowfall accumulation record to investigate whether the Twentieth Century Reanalysis project can represent the synoptic conditions associated with increased precipitation at Law Dome prior to the satellite era. Twelve synoptic types were identified using self-organising maps based on their dominant pressure anomaly patterns over the southern Indian Ocean, with four types associated with above average daily precipitation at Law Dome. Our results indicate that the Twentieth Century Reanalysis project can reliably represent the meridional synoptic conditions associated with increased precipitation at Law Dome from 1948, aligning with the assimilation of consistent surface pressure data from weather stations in the southern Indian Ocean. This extends the time period available to contextualise recent trends and extremes in precipitation and synoptic weather conditions by up to three decades beyond the satellite era. These results will help contextualise East Antarctic surface mass balance variability prior to the satellite era, with implications for improved understanding of the largest source of potential sea level rise.
摘要南印度洋的天气系统影响着南极东部的降水变化和地表质量平衡。然而,由于仪器记录较短,且大多仅限于卫星时代(1979 年以后),人们对该地区同步尺度天气系统的长期变异性了解不多。南极洲东部沿海地区的冰芯记录表明,降雪累积量存在显著的十年变异性,这表明仅凭卫星时代的数据不足以描述南部高纬度地区的气候变异性特征。因此,将最近的降水趋势和极端降水与这一地区的气候变化联系起来具有挑战性。我们利用每日 500 hPa 位势高度异常的天气类型和 Law Dome 冰芯(南极洲东部)的年降雪量累积记录,研究二十世纪再分析项目能否代表卫星时代之前与 Law Dome 降水量增加相关的天气条件。根据南印度洋上空的主要气压异常模式,利用自组织地图确定了 12 种天气类型,其中 4 种类型与劳穹顶高于平均日降水量有关。我们的研究结果表明,二十世纪再分析项目可以可靠地代表自 1948 年以来与劳穹顶降水量增加相关的经向合流条件,这与南印度洋气象站提供的一致的表面气压数据同化一致。这将可用于分析近期降水趋势和极端天气情况的时间段延长了三十年,超过了卫星时代。这些结果将有助于了解卫星时代之前南极东部地表质量平衡变化的背景,对更好地了解潜在海平面上升的最大来源具有重要意义。
期刊介绍:
Climate of the Past (CP) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on the climate history of the Earth. CP covers all temporal scales of climate change and variability, from geological time through to multidecadal studies of the last century. Studies focusing mainly on present and future climate are not within scope.
The main subject areas are the following:
reconstructions of past climate based on instrumental and historical data as well as proxy data from marine and terrestrial (including ice) archives;
development and validation of new proxies, improvements of the precision and accuracy of proxy data;
theoretical and empirical studies of processes in and feedback mechanisms between all climate system components in relation to past climate change on all space scales and timescales;
simulation of past climate and model-based interpretation of palaeoclimate data for a better understanding of present and future climate variability and climate change.