气候变化领域集成服务门户(CCPortal): The importance of input data quality and quantity in climate field reconstructions - results from the assimilation of various tree-ring collections

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DOI	10.5194/cp-16-1061-2020
	The importance of input data quality and quantity in climate field reconstructions - results from the assimilation of various tree-ring collections
	Franke J.; Valler V.; Brönnimann S.; Neukom R.; Jaume-Santero F.
发表日期	2020
ISSN	18149324
起始页码	1061
结束页码	1074
卷号	16 期号:3
英文摘要	Differences between paleoclimatic reconstructions are caused by two factors: the method and the input data. While many studies compare methods, we will focus in this study on the consequences of the input data choice in a state-of-the-art Kalman-filter paleoclimate data assimilation approach. We evaluate reconstruction quality in the 20th century based on three collections of tree-ring records: (1) 54 of the best temperature-sensitive tree-ring chronologies chosen by experts; (2) 415 temperature-sensitive treering records chosen less strictly by regional working groups and statistical screening; (3) 2287 tree-ring series that are not screened for climate sensitivity. The three data sets cover the range from small sample size, small spatial coverage and strict screening for temperature sensitivity to large sample size and spatial coverage but no screening. Additionally, we explore a combination of these data sets plus screening methods to improve the reconstruction quality. A large, unscreened collection generally leads to a poor reconstruction skill. A small expert selection of extratropical Northern Hemisphere records allows for a skillful highlatitude temperature reconstruction but cannot be expected to provide information for other regions and other variables.We achieve the best reconstruction skill across all variables and regions by combining all available input data but rejecting records with insignificant climatic information (p value of regression model > 0:05) and removing duplicate records. It is important to use a tree-ring proxy system model that includes both major growth limitations, temperature and moisture. © Author(s) 2020.
语种	英语
scopus关键词	data assimilation; data quality; data set; extratropical environment; Kalman filter; Northern Hemisphere; paleoclimate; paleotemperature; proxy climate record; reconstruction; tree ring
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/146704
作者单位	Institute of Geography, University of Bern, Bern, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland; Department of Geography, University of Zurich, Zurich, Switzerland; Department of Geosciences, University of Fribourg, Fribourg, Switzerland; Department of Earth Physics and Astrophysics, Universidad Complutense de Madrid, Madrid, Spain
推荐引用方式 GB/T 7714	Franke J.,Valler V.,Brönnimann S.,et al. The importance of input data quality and quantity in climate field reconstructions - results from the assimilation of various tree-ring collections[J],2020,16(3).
APA	Franke J.,Valler V.,Brönnimann S.,Neukom R.,&Jaume-Santero F..(2020).The importance of input data quality and quantity in climate field reconstructions - results from the assimilation of various tree-ring collections.Climate of the Past,16(3).
MLA	Franke J.,et al."The importance of input data quality and quantity in climate field reconstructions - results from the assimilation of various tree-ring collections".Climate of the Past 16.3(2020).