气候变化领域集成服务门户(CCPortal): Identifying the footprints of global climate modes in time-variable gravity hydrological signals

CCPortal

DOI	10.1007/s10584-019-02588-2
	Identifying the footprints of global climate modes in time-variable gravity hydrological signals
	Ndehedehe C.E.; Ferreira V.G.
发表日期	2020
ISSN	0165-0009
起始页码	481
结束页码	502
卷号	159 期号:4
英文摘要	Modelling continental freshwater dynamics is expected to be challenging in regions with considerable influence of multi-scale global climatic drivers. An assessment of the interplay between these climatic drivers (e.g. El-Niño Southern Oscillation-ENSO) that influence hydro-climatic conditions and hydrological processes is therefore required to optimize predictive frameworks. The main aim of this study is to assess the impacts of eleven key climate modes describing oceanic variability in the nearby oceans on the spatial and temporal distributions of terrestrial water storage (TWS) derived from Gravity Recovery and Climate Experiment (GRACE) (2002 − 2017) over South America (SA). Considering that SA accounts for nearly one-fifth of global continental freshwater discharge, this assessment is crucial because of the differences in the intrinsic response of freshwater availability in some regions to several important processes of inter-annual variability. The novel integration of independent component analysis with parameter estimation techniques in this study shows that climate variability drivers (ENSO; Southern Oscillation Index (SOI); Pacific Decadal Oscillation (PDO); Ninos 1 + 2, 3.0, 3.4 and 4.0; North Tropical Atlantic (NTA); and the Caribbean Sea Surface Temperature (SST) anomalies) have considerable association (α = 0.05) with GRACE-derived TWS over SA. The influence of Nino 4.0 (r = − 0.72), Nino 3.4 (− 0.68), Nino 3.0 (− 0.53), ENSO (r = − 0.71), PDO (r = − 0.69), SOI (r = 0.64), Caribbean SST (r = − 0.67) and NTA (r = − 0.51) on TWS are relatively stronger in tropical SA (Amazon basin/northern SA) and result in higher amplitudes of TWS (> 100 mm). Given the temporal and spatial relationships of TWS with PDO over SA, there is also evidence to suggest strong multi-decadal variability in TWS. © 2019, Springer Nature B.V.
英文关键词	Amazon basin; ENSO; GRACE; North Tropical Atlantic; Pacific SST; PDO
语种	英语
scopus关键词	Atmospheric pressure; Independent component analysis; Oceanography; Surface waters; Tropics; Water; Amazon basin; ENSO; GRACE; Pacific SST; Tropical atlantic; Climatology; carbon footprint; climate conditions; climate modeling; decadal variation; El Nino-Southern Oscillation; global climate; GRACE; gravity; hydrological modeling; hydrometeorology; identification method; optimization; Pacific Decadal Oscillation; sea surface temperature; Southern Oscillation; tropical environment; water storage; Amazon Basin; Atlantic Ocean; Atlantic Ocean (Tropical); Caribbean Sea; South America
来源期刊	Climatic Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/147215
作者单位	Australian Rivers Institute and Griffith School of Environment & Science, Griffith University, Nathan, QLD 4111, Australia; School of Earth Sciences and Engineering, Hohai University, Nanjing, China
推荐引用方式 GB/T 7714	Ndehedehe C.E.,Ferreira V.G.. Identifying the footprints of global climate modes in time-variable gravity hydrological signals[J],2020,159(4).
APA	Ndehedehe C.E.,&Ferreira V.G..(2020).Identifying the footprints of global climate modes in time-variable gravity hydrological signals.Climatic Change,159(4).
MLA	Ndehedehe C.E.,et al."Identifying the footprints of global climate modes in time-variable gravity hydrological signals".Climatic Change 159.4(2020).