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DOI | 10.1016/j.dynatmoce.2019.01.002 |
Trend analysis of Climatic Research Unit temperature dataset for Gangotri glacier, India | |
Verma P.; Ghosh S.K. | |
发表日期 | 2019 |
ISSN | 03770265 |
起始页码 | 83 |
结束页码 | 97 |
卷号 | 85 |
英文摘要 | The absence of continuous long term meteorological dataset has led to limited knowledge of glaciers’ response to climate change over Himalayas. This study presents an open source long term temperature dataset Climatic Research Unit (CRU) available since 1901 to study trend analysis of temperature (T max , T min and T mean ) for Gangotri basin in Himalayas. The study first establishes close agreement between CRU time series data and observed temperature dataset available from National Institute of Hydrology (NIH), Roorkee for a period of 11 years from 2005 to 2015 using standard anomaly, Wilcoxon Signed-Rank (WSR) and correlation tests. The close agreement of CRU with NIH data validate the use of CRU time series to study variation in meteorological parameter for hilly terrain of Himalayas. The second part includes application of different statistical tests such as Mann-Kendall (MK), Sen's slope and CUSUM technique on CRU data to detect existence of any possible trends and identification of change points in T max , T min and T mean on long term scale. On annual scale, significant increasing trends for T mean and T min were observed with no significant trend for T max . On seasonal and monthly scale, T max showed significant decreasing trend for monsoon season and increasing trend for winters while T min show significant increasing trend for all months (except May) and seasons. CUSUM technique identified 8 change points from 3 annual time series with 2 for T mean (1974 and 1999), 3 each for T max (1941, 1975 and 1999) and T min (1941, 1965 and 1999) respectively. Overall, significant increase in T min with no significant trend for T max has been identified over the study area. © 2019 Elsevier B.V. |
英文关键词 | CRU; CUSUM chart; Gangotri glacier; Mann-Kendall and Sen's slope test; Trend analysis; Wilcoxon signed-rank test |
语种 | 英语 |
scopus关键词 | Climate change; Time series; CUSUM chart; Gangotri glacier; Slope test; Trend analysis; Wilcoxon signed rank test; Statistical tests; climate change; correlation; data set; glacier; ranking; temperature; time series analysis; trend analysis; Gangotri Glacier; India; Uttarakhand |
来源期刊 | Dynamics of Atmospheres and Oceans |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/178523 |
作者单位 | Geomatics Engineering Group, Civil Engineering Department, IIT Roorkee247667, India |
推荐引用方式 GB/T 7714 | Verma P.,Ghosh S.K.. Trend analysis of Climatic Research Unit temperature dataset for Gangotri glacier, India[J],2019,85. |
APA | Verma P.,&Ghosh S.K..(2019).Trend analysis of Climatic Research Unit temperature dataset for Gangotri glacier, India.Dynamics of Atmospheres and Oceans,85. |
MLA | Verma P.,et al."Trend analysis of Climatic Research Unit temperature dataset for Gangotri glacier, India".Dynamics of Atmospheres and Oceans 85(2019). |
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