2015
DOI: 10.1002/2014gl062447
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Interdecadal Pacific variability and eastern Australian megadroughts over the last millennium

Abstract: The Interdecadal Pacific Oscillation (IPO) influences multidecadal drought risk across the Pacific, but there are no millennial-length, high-resolution IPO reconstructions for quantifying long-term drought risk.

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Cited by 127 publications
(196 citation statements)
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“…Barring post-depositional processes, the recorded snow accumulation is the net result of solid precipitation, sublimation, wind erosion or deposition, and meltwater runoff. Integrated over the AIS the contributions made by sublimation or deposition, wind redistribution, rainfall, and meltwater runoff are relatively small (van Wessem et al, 2014) and therefore the dominant component of Antarctic SMB is solid precipitation. Locally, however, drifting snow erosion or deposition and sublimation may play an important role, especially in regions of strong katabatic flow .…”
Section: Snow Accumulation From Ice Coresmentioning
confidence: 99%
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“…Barring post-depositional processes, the recorded snow accumulation is the net result of solid precipitation, sublimation, wind erosion or deposition, and meltwater runoff. Integrated over the AIS the contributions made by sublimation or deposition, wind redistribution, rainfall, and meltwater runoff are relatively small (van Wessem et al, 2014) and therefore the dominant component of Antarctic SMB is solid precipitation. Locally, however, drifting snow erosion or deposition and sublimation may play an important role, especially in regions of strong katabatic flow .…”
Section: Snow Accumulation From Ice Coresmentioning
confidence: 99%
“…A recent evaluation of 3265 multiyear averaged in situ observations concluded that ERA-Interim exhibits the highest performance in capturing interannual variability in observed Antarctic precipitation of the available reanalysis products (Wang et al, 2016). In addition, we use the latest version of RACMO version 2.3p2 (RACMO2.3p2), which succeeds RACMO2.3 (Van Wessem et al, 2014) and combines the hydrostatic dynamics of the High Resolution Limited Area Model (HIRLAM) with the physics package of the ECMWF Integrated Forecast System. RACMO2.3p2 has been specifically adapted for use over glaciated regions, as it is coupled to a multilayer snow model (Ettema et al, 2010) that calculates processes in the firn, such as grain size growth, firn compaction, meltwater percolation or retention, and meltwater runoff.…”
Section: Modelled Surface Mass Balancementioning
confidence: 99%
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