Temperature variations evidenced by records on the latest spring snowing dates in Hangzhou of eastern China during 1131-1270AD
文献类型：期刊论文
| 作者 | Liu Haolong1,4; Dai Junhu1,4; Yan Junhui2; He Fanneng1,4; Ge Quansheng1,4; Mu Chongxing3 |
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2020-10-01 |
| 卷号 | 30期号:10页码:1664-1680 |
| 关键词 | Southern Song Dynasty Hangzhou the latest spring snowing dates climatic significance general characteristics of temperature variation |
| ISSN号 | 1009-637X |
| DOI | 10.1007/s11442-020-1806-8 |
| 通讯作者 | Ge Quansheng(geqs@igsnrr.ac.cn) |
| 英文摘要 | We collected and verified documentary records of the latest spring snowing dates (LSSD) in Hangzhou during Southern Song Dynasty. Furtherly, the statistical correlation between this proxy and February-April mean temperature in Hangzhou was examined, and samples later than the perennial mean of the LSSD during Southern Song Dynasty were transformed into the decadal mean of LSSD by means of Boltzmann function. General characteristics of this reconstructed LSSD series with a 10-year temporal resolution was analyzed, and it was also compared with other documentary evidences and reconstructed climate series in China for the period 1131-1270. The results and discussion suggested that: (1) Records of the LSSD in Hangzhou during Southern Song Dynasty did not refer to ice pellets and graupels, which had an explicit climate significance (-0.34 degrees C/10d, R-2=0.37, p<0.001). However, when this proxy is used to reconstruct temperature changes, all dates should be converted into proleptic Gregorian style and meet the same criterion of "true Qi" as the Chinese traditional calendar after 1929. (2) The decadal mean of LSSD can be effectively estimated by using the forefront of LSSD in the decade on the basis of Boltzmann function, whose extrapolation has a lesser uncertainty than those on the basis of linear models or polynomial models. (3) The spring climate in Hangzhou during 1131-1270 was almost as warm as the period 1951-1980. At the centennial scale, this period can be divided into two phases: the cold 1131-1170 and the warm 1171-1270. In the latter, 1181-1200 and 1221-1240 were two cold intervals at the multi-decadal scale. (4) The reconstructed LSSD series was consistent well with other documentary evidences and reconstructed climate series in China for 1131-1270, which may reflect the influence on the climate over most regions of China imposed by the Pacific Decadal Oscillation (PDO). |
| WOS关键词 | RECONSTRUCTION ; MOUNTAINS ; CLIMATE |
| 资助项目 | National Key R&D Program of China[2017YFA0603300] ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000605211800008 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Key R&D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136773]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Ge Quansheng |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100101, Peoples R China 2.Xinyang Normal Univ, Coll Urban & Environm Sci, Xinyang 464000, Henan, Peoples R China 3.Taizhou Meteorol Bur, Taizhou 318000, Zhejiang, Peoples R China 4.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu Haolong,Dai Junhu,Yan Junhui,et al. Temperature variations evidenced by records on the latest spring snowing dates in Hangzhou of eastern China during 1131-1270AD[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2020,30(10):1664-1680. |
| APA | Liu Haolong,Dai Junhu,Yan Junhui,He Fanneng,Ge Quansheng,&Mu Chongxing.(2020).Temperature variations evidenced by records on the latest spring snowing dates in Hangzhou of eastern China during 1131-1270AD.JOURNAL OF GEOGRAPHICAL SCIENCES,30(10),1664-1680. |
| MLA | Liu Haolong,et al."Temperature variations evidenced by records on the latest spring snowing dates in Hangzhou of eastern China during 1131-1270AD".JOURNAL OF GEOGRAPHICAL SCIENCES 30.10(2020):1664-1680. |
入库方式： OAI收割
来源：地理科学与资源研究所
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