Alison Anders

Prof. Alison Anders


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2008 in Geological Society of America Bulletin
Verified
Journal Article
Closed access
NFN. J. Finnegan
N. J. Finnegan
BHB. Hallet
B. Hallet
DMD. R. Montgomery
D. R. Montgomery
PZP. K. Zeitler
P. K. Zeitler
JSJ. O. Stone
J. O. Stone
LYL. Yuping
L. Yuping

1 September 2004 in Quaternary Research
Verified
Journal Article
Closed access
DMDavid R. Montgomery
David R. Montgomery
BHBernard Hallet
Bernard Hallet
LYLiu Yuping
Liu Yuping
NFNoah Finnegan
Noah Finnegan
AAAlison Anders
Alison Anders
HGHarvey M. Greenberg
Harvey M. Greenberg
Lacustrine and alluvial terraces and sediments record the extent of at least two Holocene glacially dammed lakes immediately upstream of the Tsangpo River gorge at the eastern syntaxis of the Himalaya. The larger lake covered 2835 km2, with a maximum depth of 680 m and contained an estimated 832 km3 of water; the smaller lake contained an estimated 80 km3 of water. Radiocarbon dating of wood and charcoal yielded conventional radiocarbon ages of 8860 ± 40 and 9870 ± 50 14C yr B.P. for the higher set of lake terraces, and 1220 ± 40 and 1660 ± 40 14C yr B.P. for sediments from the lower terraces. Catastrophic failure of the glacial dams that impounded the lakes would have released outburst floods down the gorge of the Tsangpo River with estimated peak discharges of up to 1 to 5 X 106 m3 s–1. The erosive potential represented by the unit stream power calculated for the head of the gorge during such a catastrophic lake breakout indicates that post-glacial megafloods down the Tsangpo River were likely among the most erosive events in recent Earth history.

1 January 2006
Verified
Book Chapter
Closed access
AAAlison Anders
Alison Anders
GRGerard H. Roe
Gerard H. Roe
BHBernard Hallet
Bernard Hallet
DMDavid R. Montgomery
David R. Montgomery
NFNoah J. Finnegan
Noah J. Finnegan
DFDonald M. Fisher
Donald M. Fisher
Spatial variability in precipitation has received little attention in the study of connections between climate, erosion, and tectonics. However, long-term precipitation patterns show large variations over spatial scales of ∼10 km and are strongly controlled by topography. We use precipitation rate estimates from Tropical Rainfall Measuring Mission (TRMM) satellite radar data to approximate annual precipitation over the Himalaya at a spatial resolution of 10 km. The resulting precipitation pattern shows gradients across the range, from east to west along the range, and fivefold differences between major valleys and their adjacent ridges. Basin-wide average precipitation estimates correlate well with available measured mean runoff for Himalayan rivers. Estimated errors of 15%–50% in TRMM-derived annual precipitation are much smaller than the spatial variability in predicted totals across the study area. A simple model of orographic precipitation predicts a positive relationship between precipitation and two topographically derived factors: the saturation vapor pressure at the surface and this pressure times the slope. This model captures significant features of the pattern of precipitation, including the gradient across the range and the ridge-valley difference, but fails to predict the east-west gradient and the highest totals. Model results indicate that the spatial pattern of precipitation is strongly related to topography and therefore must co-evolve with the topography, and suggest that our model may be useful for investigation of the relationships among the coupled climate-erosion-tectonic system.

1 April 2008 in Quarterly Journal of the Royal Meteorological Society
Verified
Journal Article
Open access
PDF file
JMJustin Minder
Justin Minder
DDDale R. Durran
Dale R. Durran
GRGerard H. Roe
Gerard H. Roe
AAAlison Anders
Alison Anders
The climatology of small‐scale patterns of mountain precipitation is poorly constrained, yet important for applications ranging from natural hazard assessment to understanding the geologic evolution of mountain ranges. Synthesizing four rainy seasons of high‐resolution precipitation observations and mesoscale model output (from the Penn State/NCAR MM5), reveals a persistent small‐scale pattern of precipitation over the ∼10 km wide, ∼800 m high ridges and valleys of the western Olympic Mountains, Washington State, USA. This pattern is characterized by a 50–70% excess accumulation over the ridge crests relative to the adjacent valleys in the annual mean. While the model shows excellent skill in simulating these patterns at seasonal time‐scales, major errors exist for individual storms.Investigation of a range of storm events has revealed the following mechanism for the climatological pattern. Regions of enhanced condensation of cloud water are produced by ascent in stable flow over the windward slopes of major ridges. Synoptically generated precipitation grows by collection within these clouds, leading to enhanced precipitation which is advected by the prevailing winds.Instances of atypical patterns of precipitation suggest that under certain conditions (during periods with a low freezing level, or convective cells) fundamental changes in small‐scale patterns may occur. However, case‐studies and composite analysis suggest that departures from the pattern of ridge‐top enhancement are rare; the basic patterns and processes appear robust to changes in temperature, winds, and background rainfall rates. Copyright © 2008 Royal Meteorological Society

8 August 2009 in Geophysical Research Letters
Verified
Journal Article
Closed access
PDF file
SNStephen Nesbitt
Stephen Nesbitt
AAAlison Anders
Alison Anders

1 January 2008 in Geology
Verified
Journal Article
Closed access
AAAlison Anders
Alison Anders
GRGerard H. Roe
Gerard H. Roe
DMDavid R. Montgomery
David R. Montgomery
BHBernard Hallet
Bernard Hallet