气候变化领域集成服务门户(CCPortal): Assimilating monthly precipitation data in a paleoclimate data assimilation framework

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DOI	10.5194/cp-16-1309-2020
	Assimilating monthly precipitation data in a paleoclimate data assimilation framework
	Valler V.; Brugnara Y.; Bronnimann S.
发表日期	2020
ISSN	18149324
起始页码	1309
结束页码	1323
卷号	16 期号:4
英文摘要	Data assimilation approaches such as the ensemble Kalman filter method have become an important technique for paleoclimatological reconstructions and reanalysis. Different sources of information, from proxy records and documentary data to instrumental measurements, were assimilated in previous studies to reconstruct past climate fields. However, precipitation reconstructions are often based on indirect sources (e.g., proxy records). Assimilating precipitation measurements is a challenging task because they have high uncertainties, often represent only a small region, and generally do not follow a Gaussian distribution. In this paper, experiments are conducted to test the possibility of using information about precipitation in climate reconstruction with monthly resolution by assimilating monthly instrumental precipitation amounts or the number of wet days per month, solely or in addition to other climate variables such as temperature and sea-level pressure, into an ensemble of climate model simulations. The skill of all variables (temperature, precipitation, sea-level pressure) improved over the pure model simulations when only monthly precipitation amounts were assimilated. Assimilating the number of wet days resulted in similar or better skill compared to assimilating the precipitation amount. The experiments with different types of instrumental observations being assimilated indicate that precipitation data can be useful, particularly if no other variable is available from a given region. Overall the experiments show promising results because with the assimilation of precipitation information a new data source can be exploited for climate reconstructions. The wet day records can become an especially important data source in future climate reconstructions because many existing records date several centuries back in time and are not limited by the availability of meteorological instruments. © 2020 Author(s).
语种	英语
scopus关键词	climate variation; data assimilation; paleoclimate; precipitation (climatology)
来源期刊	Climate of the Past
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146692
作者单位	Institute of Geography, University of Bern, Bern, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
推荐引用方式 GB/T 7714	Valler V.,Brugnara Y.,Bronnimann S.. Assimilating monthly precipitation data in a paleoclimate data assimilation framework[J],2020,16(4).
APA	Valler V.,Brugnara Y.,&Bronnimann S..(2020).Assimilating monthly precipitation data in a paleoclimate data assimilation framework.Climate of the Past,16(4).
MLA	Valler V.,et al."Assimilating monthly precipitation data in a paleoclimate data assimilation framework".Climate of the Past 16.4(2020).