A coral oxygen isotope record from the northern Red Sea documenting NAO, ENSO, and North Pacific teleconnections on Middle East climate variability since the year 1750

Felis, Thomas; Pätzold, Jürgen; Loya, Yossi; Fine, Maoz; Nawar, Ahmed H; Wefer, Gerold

doi:10.1029/1999pa000477

Cited by 181 publications

(175 citation statements)

References 46 publications

Supporting

Mentioning

159

Contrasting

Order By: Relevance

“…In the Ethiopian highlands, rainfall ranges between about 500 mm and over 2000 mm, and nourishes permanent rivers such as the Blue Nile and the Awash, but these are far removed from the coastal regions of the Red Sea. The northern part of the Red Sea is influenced by Mediterranean cyclones, which bring winter rains, and this region is also sensitive to the effects of the North Atlantic oscillation, which leads to periods of greater or lesser aridity approximately every six years (Felis et al 2000). The absence of perennial streams or rivers places a high premium on the availability of surface water in the form of springs, wells or oases, making the region as a whole sensitive to climatically-induced changes in precipitation resulting from shifts in the path of the main rain-bearing systems in the north and the southeast.…”

Section: Climate and Environmentmentioning

confidence: 99%

The Red Sea, Coastal Landscapes, and Hominin Dispersals

Bailey

2009

The Evolution of Human Populations in Arabia

View full text Add to dashboard Cite

Section: Climate and Environmentmentioning

confidence: 99%

The Red Sea, Coastal Landscapes, and Hominin Dispersals

Bailey

2009

The Evolution of Human Populations in Arabia

View full text Add to dashboard Cite

“…While linear interpolation is often used for simplicity, it tends to suppress high-frequency variability, hence potentially distorting a record's spectrum. To preserve the intrinsic autocorrelation structure of the time series, we use singular spectrum analysis (SSA; Broomhead and King, 1986;Fraedrich, 1986;Vautard and Ghil, 1989) and its missing value counterpart (SSAM) (Schoellhamer, 2001) to reconstruct the time series including miscounted layers. SSAM was shown to preserve the variance for as many as M 2 missing points within a sliding window of size M (Schoellhamer, 2001).…”

Section: Univariate Model Formulationmentioning

confidence: 99%

A probabilistic model of chronological errors in layer-counted climate proxies: applications to annually banded coral archives

et al. 2014

View full text Add to dashboard Cite

Abstract. The ability to precisely date climate proxies is central to the reconstruction of past climate variations. To a degree, all climate proxies are affected by age uncertainties, which are seldom quantified. This article proposes a probabilistic age model for proxies based on layer-counted chronologies, and explores its use for annually banded coral archives. The model considers both missing and doubly counted growth increments (represented as independent processes), accommodates various assumptions about error rates, and allows one to quantify the impact of chronological uncertainties on different diagnostics of variability. In the case of a single coral record, we find that time uncertainties primarily affect high-frequency signals but also significantly bias the estimate of decadal signals. We further explore tuning to an independent, tree-ring-based chronology as a way to identify an optimal age model. A synthetic pseudocoral network is used as testing ground to quantify uncertainties in the estimation of spatiotemporal patterns of variability. Even for small error rates, the amplitude of multidecadal variability is systematically overestimated at the expense of interannual variability (El Niño-Southern Oscillation, or ENSO, in this case), artificially flattening its spectrum at periods longer than 10 years. An optimization approach to correct chronological errors in coherent multivariate records is presented and validated in idealized cases, though it is found difficult to apply in practice due to the large number of solutions. We close with a discussion of possible extensions of this model and connections to existing strategies for modeling age uncertainties.

show abstract

“…6A, B). The relationships between coral 18 O, 13 C and the density banding pattern are identical to those of modern, shallow-water Porites from the nearby northernmost Red Sea [29,66,67]. This arid region is the nearest modern analogue and is assumed to represent similar climatic/oceanographic conditions (high-latitude reefs, maximum sunshine in summer, and clouds and rain in winter).…”

Section: Environmental Interpretation Of the Coral Stable Isotope Recmentioning

confidence: 93%

“…Although the Late Miocene palaeoceanography and palaeoclimatic evolution of the Mediterranean is well known on geological time-scales [7,24,25], little information exists with regard to the subannual and interannual climate variability. For the eastern Mediterranean and Middle East, the Arctic Oscillation/North Atlantic Oscillation (AO/NAO), the Northern Hemisphere's dominant mode of atmospheric variability [26,27], exerts not only a major impact on the present-day interannual climate variability, but has also played a critical role during the Holocene and Last interglacial [28][29][30][31]. We have analysed a marine coral stable isotope record ( 18 O) from the Miocene of Crete that covers a time-span of 67 years.…”

Section: Introductionmentioning

confidence: 99%