DOI: 10.1007/s12040-019-1303-6
论文题名: Linking variability of monsoon precipitation with satellite-based observations of stable water isotopes over Northeast India
作者: Pradhan R. ; Singh N. ; Singh R.P.
刊名: Journal of Earth System Science
ISSN: 23474327
出版年: 2020
卷: 129, 期: 1 语种: 英语
英文关键词: ENSO
; hydrology
; Northeast India
; SCIAMACHY
; Stable isotopes
Scopus关键词: atmospheric chemistry
; concentration (composition)
; correlation
; El Nino-Southern Oscillation
; Envisat
; hydrological cycle
; isotopic composition
; monsoon
; precipitation (climatology)
; satellite data
; SCIAMACHY
; stable isotope
; stratosphere
; trace gas
; troposphere
; water
; water vapor
; India
英文摘要: Isotopic composition of atmospheric water vapor provides information on transport, mixing and phase change of water in the atmosphere. It provides a useful tool for understanding various aspects of the hydrological cycle. SCanning Imaging Absorption Spectrometer for Atmospheric CHartographY (SCIAMACHY) onboard ENVISAT-1 was a spectrometer designed to measure the composition of trace gases in troposphere and stratosphere. It provided global measurements of total columnar HDO and H2O concentrations using the spectral window between 2338.5 and 2382.5 nm. Temporal variability of columnar δD was studied over Northeast (NE) India and mean columnar δD for pre-monsoon and monsoon months were correlated with precipitation data obtained from Global System for Mapping of Precipitation (GSMaP). It was observed that δD during the pre-monsoon months of April–May showed good correlation (r > 0.7, p < 0.05) with total precipitation during June–August for the corresponding year over forested regions of Meghalaya and parts of Assam. Analysis was also carried out to understand the relationship between SCIAMACHY derived gridded monthly δD and Multivariate El-Niño Index (MEI) with zero and one month lag periods. Positive correlation was observed between δD and MEI over parts of Central India, Myanmar and Thailand. Isotope ratio of water vapor provides additional information compared to traditional meteorological observations and holds the potential to improve forecasting models. © 2019, Indian Academy of Sciences. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158054
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: Land Hydrology Division, EPSA, Space Applications Centre (ISRO), Ahmedabad, 380 015, India
Recommended Citation:
Pradhan R.,Singh N.,Singh R.P.. Linking variability of monsoon precipitation with satellite-based observations of stable water isotopes over Northeast India[J]. Journal of Earth System Science,2020-01-01,129(1)