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Dive into the research topics where Christian Kienholz is active.

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Featured researches published by Christian Kienholz.


Geophysical Research Letters | 2015

Surface melt dominates Alaska glacier mass balance

Christopher F. Larsen; Evan W. Burgess; Anthony A. Arendt; Shad O'Neel; A. J. Johnson; Christian Kienholz

Mountain glaciers comprise a small and widely distributed fraction of the worlds terrestrial ice, yet their rapid losses presently drive a large percentage of the cryospheres contribution to sea level rise. Regional mass balance assessments are challenging over large glacier populations due to remote and rugged geography, variable response of individual glaciers to climate change, and episodic calving losses from tidewater glaciers. In Alaska, we use airborne altimetry from 116 glaciers to estimate a regional mass balance of −75 ± 11 Gt yr−1 (1994–2013). Our glacier sample is spatially well distributed, yet pervasive variability in mass balances obscures geospatial and climatic relationships. However, for the first time, these data allow the partitioning of regional mass balance by glacier type. We find that tidewater glaciers are losing mass at substantially slower rates than other glaciers in Alaska and collectively contribute to only 6% of the regional mass loss.


Journal of Geophysical Research | 2015

End‐of‐winter snow depth variability on glaciers in Alaska

Daniel McGrath; Louis Sass; Shad O'Neel; Anthony A. Arendt; Gabriel J. Wolken; Alessio Gusmeroli; Christian Kienholz; Christopher McNeil

A quantitative understanding of snow thickness and snow water equivalent (SWE) on glaciers is essential to a wide range of scientific and resource management topics. However, robust SWE estimates are observationally challenging, in part because SWE can vary abruptly over short distances in complex terrain due to interactions between topography and meteorological processes. In spring 2013, we measured snow accumulation on several glaciers around the Gulf of Alaska using both ground- and helicopter-based ground-penetrating radar surveys, complemented by extensive ground truth observations. We found that SWE can be highly variable (40% difference) over short spatial scales (tens to hundreds of meters), especially in the ablation zone where the underlying ice surfaces are typically rough. Elevation provides the dominant basin-scale influence on SWE, with gradients ranging from 115 to 400 mm/100 m. Regionally, total accumulation and the accumulation gradient are strongly controlled by a glaciers distance from the coastal moisture source. Multiple linear regressions, used to calculate distributed SWE fields, show that robust results require adequate sampling of the true distribution of multiple terrain parameters. Final SWE estimates (comparable to winter balances) show reasonable agreement with both the Parameter-elevation Relationships on Independent Slopes Model climate data set (9–36% difference) and the U.S. Geological Survey Alaska Benchmark Glaciers (6–36% difference). All the glaciers in our study exhibit substantial sensitivity to changing snow-rain fractions, regardless of their location in a coastal or continental climate. While process-based SWE projections remain elusive, the collection of ground-penetrating radar (GPR)-derived data sets provides a greatly enhanced perspective on the spatial distribution of SWE and will pave the way for future work that may eventually allow such projections.


Earth’s Future | 2017

Hypsometric control on glacier mass balance sensitivity in Alaska and northwest Canada

D. McGrath; Louis Sass; Shad O'Neel; Anthony A. Arendt; Christian Kienholz

Glacier hypsometry provides a first-order approach for assessing a glaciers response to climate forcings. We couple the Randolph Glacier Inventory to a suite of in situ observations and climate model output to examine potential change for the ∼27,000 glaciers in Alaska and northwest Canada through the end of the 21st century. By 2100, based on Representative Concentration Pathways (RCPs) 4.5–8.5 forcings, summer temperatures are predicted to increase between +2.1 and +4.6°C, while solid precipitation (snow) is predicted to decrease by −6 to −11%, despite a +9 to +21% increase in total precipitation. Snow is predicted to undergo a pronounced decrease in the fall, shifting the start of the accumulation season back by ∼1 month. In response to these forcings, the regional equilibrium line altitude (ELA) may increase by +105 to +225 m by 2100. The mass balance sensitivity to this increase is highly variable, with the most substantive impact for glaciers with either limited elevation ranges (often small ( 60%. Our results highlight the first-order control of hypsometry on individual glacier response to climate change, and the variability that hypsometry introduces to a regional response to a coherent climate perturbation.


Water Resources Research | 2017

Hydrologic impacts of changes in climate and glacier extent in the Gulf of Alaska watershed

J. P. Beamer; David F. Hill; D. McGrath; Anthony A. Arendt; Christian Kienholz

High-resolution regional-scale hydrologic models were used to quantify the response of late 21st century runoff from the Gulf of Alaska (GOA) watershed to changes in regional climate and glacier extent. NCEP Climate Forecast System Reanalysis data were combined with five Coupled Model Intercomparison Project Phase 5 General Circulation Models (GCM) for two representative concentration pathway (RCP) scenarios (4.5 and 8.5) to develop meteorological forcing for the period 2070–2099. A hypsographic model was used to estimate future glacier extent given assumed equilibrium line altitude (ELA) increases of 200 and 400 m. GCM predictions show an increase in annual precipitation of 12% for RCP 4.5 and 21% for RCP 8.5, and an increase in annual temperature of 2.5°C for RCP 4.5 and 4.3°C for RCP 8.5, averaged across the GOA. Scenarios with perturbed climate and glaciers predict annual GOA-wide runoff to increase by 9% for RCP4.5/ELA200 case and 14% for the RCP8.5/ELA400 case. The glacier runoff decreased by 14% for RCP4.5/ELA200 and by 34% for the RCP8.5/ELA400 case. Inter-model variability in annual runoff was found to be approximately twice the variability in precipitation input. Additionally, there are significant changes in runoff partitioning and increases in snowpack runoff are dominated by increases in rain-on-snow events. We present results aggregated across the entire GOA and also for individual watersheds to illustrate the range in hydrologic regime changes, and explore the sensitivities of these results by independently perturbing only climate forcings and only glacier cover.


Remote Sensing | 2017

Glacier Changes in the Susitna Basin, Alaska, USA, (1951–2015) using GIS and Remote Sensing Methods

Roland Wastlhuber; Regine Hock; Christian Kienholz; Matthias Braun

The Susitna River draining from the highly glacierized Central Alaska Range has repeatedly been considered a potential hydro-power source in recent decades, raising questions about the effect of gl ...


Journal of Glaciology | 2014

The Randolph Glacier Inventory : a globally complete inventory of glaciers

W. Tad Pfeffer; Anthony A. Arendt; Andrew Bliss; Tobias Bolch; J. Graham Cogley; Alex S. Gardner; Jon Ove Hagen; Regine Hock; Georg Kaser; Christian Kienholz; Evan S. Miles; Geir Moholdt; Nico Mölg; Frank Paul; Valentina Radić; Philipp Rastner; Bruce H. Raup; Justin Rich; Martin Sharp


The Cryosphere | 2013

Glacier changes in the Karakoram region mapped by multimission satellite imagery

Melanie Rankl; Christian Kienholz; Matthias Braun


The Cryosphere | 2013

A new method for deriving glacier centerlines applied to glaciers in Alaska and northwest Canada

Christian Kienholz; Justin Rich; Anthony A. Arendt; Regine Hock


Journal of Glaciology | 2015

Derivation and analysis of a complete modern-date glacier inventory for Alaska and northwest Canada

Christian Kienholz; Sam Herreid; Justin Rich; Anthony A. Arendt; Regine Hock; Evan W. Burgess


Journal of Glaciology | 2016

Modeling the evolution of the Juneau Icefield between 1971 and 2100 using the Parallel Ice Sheet Model (PISM)

Florian Ziemen; Regine Hock; Andy Aschwanden; Constantine Khroulev; Christian Kienholz; Andrew K. Melkonian; Jing Zhang

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Regine Hock

University of Alaska Fairbanks

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Shad O'Neel

United States Geological Survey

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D. McGrath

Colorado State University

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Louis Sass

United States Geological Survey

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Justin Rich

University of Alaska Fairbanks

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Martin Truffer

University of Alaska Fairbanks

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Sam Herreid

Northumbria University

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Matthias Braun

University of Erlangen-Nuremberg

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