@misc{SchwanghartScherler2017, author = {Schwanghart, Wolfgang and Scherler, Dirk}, title = {Bumps in river profiles}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {624}, issn = {1866-8372}, doi = {10.25932/publishup-41907}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-419077}, pages = {19}, year = {2017}, abstract = {The analysis of longitudinal river profiles is an important tool for studying landscape evolution. However, characterizing river profiles based on digital elevation models (DEMs) suffers from errors and artifacts that particularly prevail along valley bottoms. The aim of this study is to characterize uncertainties that arise from the analysis of river profiles derived from different, near-globally available DEMs. We devised new algorithms quantile carving and the CRS algorithm - that rely on quantile regression to enable hydrological correction and the uncertainty quantification of river profiles. We find that globally available DEMs commonly overestimate river elevations in steep topography. The distributions of elevation errors become increasingly wider and right skewed if adjacent hillslope gradients are steep. Our analysis indicates that the AW3D DEM has the highest precision and lowest bias for the analysis of river profiles in mountainous topography. The new 12m resolution TanDEM-X DEM has a very low precision, most likely due to the combined effect of steep valley walls and the presence of water surfaces in valley bottoms. Compared to the conventional approaches of carving and filling, we find that our new approach is able to reduce the elevation bias and errors in longitudinal river profiles.}, language = {en} } @article{SchwanghartScherler2017, author = {Schwanghart, Wolfgang and Scherler, Dirk}, title = {Bumps in river profiles: uncertainty assessment and smoothing using quantile regression techniques}, series = {Earth surface dynamics}, volume = {5}, journal = {Earth surface dynamics}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {2196-6311}, doi = {10.5194/esurf-5-821-2017}, pages = {821 -- 839}, year = {2017}, abstract = {The analysis of longitudinal river profiles is an important tool for studying landscape evolution. However, characterizing river profiles based on digital elevation models (DEMs) suffers from errors and artifacts that particularly prevail along valley bottoms. The aim of this study is to characterize uncertainties that arise from the analysis of river profiles derived from different, near-globally available DEMs. We devised new algorithms quantile carving and the CRS algorithm - that rely on quantile regression to enable hydrological correction and the uncertainty quantification of river profiles. We find that globally available DEMs commonly overestimate river elevations in steep topography. The distributions of elevation errors become increasingly wider and right skewed if adjacent hillslope gradients are steep. Our analysis indicates that the AW3D DEM has the highest precision and lowest bias for the analysis of river profiles in mountainous topography. The new 12m resolution TanDEM-X DEM has a very low precision, most likely due to the combined effect of steep valley walls and the presence of water surfaces in valley bottoms. Compared to the conventional approaches of carving and filling, we find that our new approach is able to reduce the elevation bias and errors in longitudinal river profiles.}, language = {en} } @phdthesis{Scherler2010, author = {Scherler, Dirk}, title = {Climate variability and glacial dynamics in the Himalaya}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-49871}, school = {Universit{\"a}t Potsdam}, year = {2010}, abstract = {In den Hochgebirgen Asiens bedecken Gletscher eine Fl{\"a}che von ungef{\"a}hr 115,000 km² und ergeben damit, neben Gr{\"o}nland und der Antarktis, eine der gr{\"o}ßten Eisakkumulationen der Erde. Die Sensibilit{\"a}t der Gletscher gegen{\"u}ber Klimaschwankungen macht sie zu wertvollen pal{\"a}oklimatischen Archiven in Hochgebirgen, aber gleichzeitig auch anf{\"a}llig gegen{\"u}ber rezenter und zuk{\"u}nftiger globaler Erw{\"a}rmung. Dies kann vor allem in dicht besiedelten Gebieten S{\"u}d-, Ost- und Zentralasiens zu großen Problem f{\"u}hren, in denen Gletscher- und Schnee-Schmelzw{\"a}sser eine wichtige Ressource f{\"u}r Landwirtschaft und Stromerzeugung darstellen. Eine erfolgreiche Prognose des Gletscherverhaltens in Reaktion auf den Klimawandel und die Minderung der sozio{\"o}konomischen Auswirkungen erfordert fundierte Kenntnisse der klimatischen Steuerungsfaktoren und der Dynamik asiatischer Gletscher. Aufgrund ihrer Abgeschiedenheit und dem erschwerten Zugang gibt es nur wenige glaziologische Gel{\"a}ndestudien, die zudem r{\"a}umlich und zeitlich sehr begrenzt sind. Daher fehlen bisher grundlegende Informationen {\"u}ber die Mehrzahl asiatischer Gletscher. In dieser Arbeit benutze ich verschiedene Methoden, um die Dynamik asiatischer Gletscher auf mehreren Zeitskalen zu untersuchen. Erstens teste ich eine Methode zur pr{\"a}zisen satelliten-gest{\"u}tzten Messung von Gletscheroberfl{\"a}chen-Geschwindigkeiten. Darauf aufbauend habe ich eine umfassende regionale Erhebung der Fliessgeschwindigkeiten und Frontdynamik asiatischer Gletscher f{\"u}r die Jahre 2000 bis 2008 durchgef{\"u}hrt. Der gewonnene Datensatz erlaubt einmalige Einblicke in die topographischen und klimatischen Steuerungsfaktoren der Gletscherfließgeschwindigkeiten in den Gebirgsregionen Hochasiens. Insbesondere dokumentieren die Daten rezent ungleiches Verhalten der Gletscher im Karakorum und im Himalaja, welches ich auf die konkurrierenden klimatischen Einfl{\"u}sse der Westwinddrift im Winter und des Indischen Monsuns im Sommer zur{\"u}ckf{\"u}hre. Zweitens untersuche ich, ob klimatisch bedingte Ost-West Unterschiede im Gletscherverhalten auch auf l{\"a}ngeren Zeitskalen eine Rolle spielen und gegebenenfalls f{\"u}r dokumentierte regional asynchrone Gletschervorst{\"o}ße relevant sind. Dazu habe ich mittels kosmogener Nuklide Oberfl{\"a}chenalter von erratischen Bl{\"o}cken auf Mor{\"a}nen ermittelt und eine glaziale Chronologie f{\"u}r das obere Tons Tal, in den Quellgebieten des Ganges, erstellt. Dieses Gebiet befindet sich in der {\"U}bergangszone von monsunaler zu Westwind beeinflusster Feuchtigkeitszufuhr und ist damit ideal gelegen, um die Auswirkungen dieser beiden atmosph{\"a}rischen Zirkulationssysteme auf Gletschervorst{\"o}ße zu untersuchen. Die ermittelte glaziale Chronologie dokumentiert mehrere Gletscherschwankungen w{\"a}hrend des Endstadiums der letzten Pleistoz{\"a}nen Vereisung und w{\"a}hrend des Holz{\"a}ns. Diese weisen darauf hin, dass Gletscherschwankungen im westlichen Himalaja weitestgehend synchron waren und auf graduelle glaziale-interglaziale Temperaturver{\"a}nderungen, {\"u}berlagert von monsunalen Niederschlagsschwankungen h{\"o}herer Frequenz, zur{\"u}ck zu f{\"u}hren sind. In einem dritten Schritt kombiniere ich Satelliten-Klimadaten mit Eisfluss-Absch{\"a}tzungen und topographischen Analysen, um den Einfluss der Gletscher Hochasiens auf die Reliefentwicklung im Hochgebirge zu untersuchen. Die Ergebnisse dokumentieren ausgepr{\"a}gte meridionale Unterschiede im Grad und im Stil der Vergletscherung und glazialen Erosion in Abh{\"a}ngigkeit von topographischen und klimatischen Faktoren. Gegens{\"a}tzlich zu bisherigen Annahmen deuten die Daten darauf hin, dass das monsunale Klima im zentralen Himalaja die glaziale Erosion schw{\"a}cht und durch den Erhalt einer steilen orographischen Barriere das Tibet Plateau vor lateraler Zerschneidung bewahrt. Die Ergebnisse dieser Arbeit dokumentieren, wie klimatische und topographische Gradienten die Gletscherdynamik in den Hochgebirgen Asiens auf Zeitskalen von 10^0 bis 10^6 Jahren beeinflussen. Die Reaktionszeit der Gletscher auf Klimaver{\"a}nderungen sind eng an Eigenschaften wie Schuttbedeckung und Neigung gekoppelt, welche ihrerseits von den topographischen Verh{\"a}ltnissen bedingt sind. Derartige Einflussfaktoren m{\"u}ssen bei pal{\"a}oklimatischen Rekonstruktion und Vorhersagen {\"u}ber die Entwicklung asiatischer Gletscher ber{\"u}cksichtigt werden. Desweiteren gehen die regionalen topographischen Unterschiede der vergletscherten Gebiete Asiens teilweise auf klimatische Gradienten und den langfristigen Einfluss der Gletscher auf die topographische Entwicklung des Gebirgssystems zur{\"u}ck.}, language = {en} } @article{DeyThiedeSchildgenetal.2016, author = {Dey, Saptarshi and Thiede, Rasmus Christoph and Schildgen, Taylor F. and Wittmann, Hella and Bookhagen, Bodo and Scherler, Dirk and Jain, Vikrant and Strecker, Manfred}, title = {Climate-driven sediment aggradation and incision since the late Pleistocene in the NW Himalaya, India}, series = {Earth \& planetary science letters}, volume = {449}, journal = {Earth \& planetary science letters}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0012-821X}, doi = {10.1016/j.epsl.2016.05.050}, pages = {321 -- 331}, year = {2016}, abstract = {Deciphering the response of sediment routing systems to climatic forcing is fundamental for understanding the impacts of climate change on landscape evolution. In the Kangra Basin (northwest Sub-Himalaya, India), upper Pleistocene to Holocene alluvial fills and fluvial terraces record periodic fluctuations of sediment supply and transport capacity on timescales of 10(3) to 10(5) yr. To evaluate the potential influence of climate change on these fluctuations, we compare the timing of aggradation and incision phases recorded within remnant alluvial fans and terraces with climate archives. New surface-exposure dating of six terrace levels with in-situ cosmogenic Be-10 indicates the onset of incision phases. Two terrace surfaces from the highest level (T1) sculpted into the oldest preserved alluvial fan (AF1) date back to 53.4 +/- 3.2 ka and 43.0 +/- 2.7 ka (1 sigma). T2 surfaces sculpted into the remnants of AF1 have exposure ages of 18.6 +/- 1.2 ka and 15.3 +/- 0.9 ka, while terraces sculpted into the upper Pleistocene-Holocene fan (AF2) provide ages of 9.3 +/- 0.4 ka (T3), 7.1 +/- 0.4 ka (T4), 5.2 +/- 0.4 ka (T5) and 3.6 +/- 0.2 ka (T6). Together with previously published OSL ages yielding the timing of aggradation, we find a correlation between variations in sediment transport with oxygen-isotope records from regions affected by the Indian Summer Monsoon. During periods of increased monsoon intensity and post-Last Glacial Maximum glacial retreat, aggradation occurred in the Kangra Basin, likely due to high sediment flux, whereas periods of weakened monsoon intensity or lower sediment supply coincide with incision. (C) 2016 Elsevier B.V. All rights reserved.}, language = {en} } @article{WulfBookhagenScherler2012, author = {Wulf, Hendrik and Bookhagen, Bodo and Scherler, Dirk}, title = {Climatic and geologic controls on suspended sediment flux in the Sutlej River Valley, western Himalaya}, series = {Hydrology and earth system sciences : HESS}, volume = {16}, journal = {Hydrology and earth system sciences : HESS}, number = {7}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {1027-5606}, doi = {10.5194/hess-16-2193-2012}, pages = {2193 -- 2217}, year = {2012}, abstract = {The sediment flux through Himalayan rivers directly impacts water quality and is important for sustaining agriculture as well as maintaining drinking-water and hydropower generation. Despite the recent increase in demand for these resources, little is known about the triggers and sources of extreme sediment flux events, which lower water quality and account for extensive hydropower reservoir filling and turbine abrasion. Here, we present a comprehensive analysis of the spatiotemporal trends in suspended sediment flux based on daily data during the past decade (2001-2009) from four sites along the Sutlej River and from four of its main tributaries. In conjunction with satellite data depicting rainfall and snow cover, air temperature and earthquake records, and field observations, we infer climatic and geologic controls of peak suspended sediment concentration (SSC) events. Our study identifies three key findings: First, peak SSC events (a parts per thousand yen 99th SSC percentile) coincide frequently (57-80\%) with heavy rainstorms and account for about 30\% of the suspended sediment flux in the semi-arid to arid interior of the orogen. Second, we observe an increase of suspended sediment flux from the Tibetan Plateau to the Himalayan Front at mean annual timescales. This sediment-flux gradient suggests that averaged, modern erosion in the western Himalaya is most pronounced at frontal regions, which are characterized by high monsoonal rainfall and thick soil cover. Third, in seven of eight catchments, we find an anticlockwise hysteresis loop of annual sediment flux variations with respect to river discharge, which appears to be related to enhanced glacial sediment evacuation during late summer. Our analysis emphasizes the importance of unconsolidated sediments in the high-elevation sector that can easily be mobilized by hydrometeorological events and higher glacial-meltwater contributions. In future climate change scenarios, including continuous glacial retreat and more frequent monsoonal rainstorms across the Himalaya, we expect an increase in peak SSC events, which will decrease the water quality and impact hydropower generation.}, language = {en} } @article{SaviSchildgenTofeldeetal.2016, author = {Savi, Sara and Schildgen, Taylor F. and Tofelde, Stefanie and Wittmann, Hella and Scherler, Dirk and Mey, J{\"u}rgen and Alonso, Ricardo N. and Strecker, Manfred}, title = {Climatic controls on debris-flow activity and sediment aggradation: The Del Medio fan, NW Argentina}, series = {Journal of geophysical research : Earth surface}, volume = {121}, journal = {Journal of geophysical research : Earth surface}, publisher = {American Geophysical Union}, address = {Washington}, issn = {2169-9003}, doi = {10.1002/2016JF003912}, pages = {2424 -- 2445}, year = {2016}, abstract = {In the Central Andes, several studies on alluvial terraces and valley fills have linked sediment aggradation to periods of enhanced sediment supply. However, debate continues over whether tectonic or climatic factors are most important in triggering the enhanced supply. The Del Medio catchment in the Humahuaca Basin (Eastern Cordillera, NW Argentina) is located within a transition zone between subhumid and arid climates and hosts the only active debris-flow fan within this intermontane valley. By combining Be-10 analyses of boulder and sediment samples within the Del Medio catchment, with regional morphometric measurements of nearby catchments, we identify the surface processes responsible for aggradation in the Del Medio fan and their likely triggers. We find that the fan surface has been shaped by debris flows and channel avulsions during the last 400 years. Among potential tectonic, climatic, and autogenic factors that might influence deposition, our analyses point to a combination of several favorable factors that drive aggradation. These are in particular the impact of occasional abundant rainfall on steep slopes in rock types prone to failure, located in a region characterized by relatively low rainfall amounts and limited transport capacity. These characteristics are primarily associated with the climatic transition zone between the humid foreland and the arid orogen interior, which creates an imbalance between sediment supply and sediment transfer. The conditions and processes that drive aggradation in the Del Medio catchment today may provide a modern analog for the conditions and processes that drove aggradation in other nearby tributaries in the past.}, language = {en} } @article{WulfBookhagenScherler2016, author = {Wulf, Hendrik and Bookhagen, Bodo and Scherler, Dirk}, title = {Differentiating between rain, snow, and glacier contributions to river discharge in the western Himalaya using remote-sensing data and distributed hydrological modeling}, series = {Advances in water resources}, volume = {88}, journal = {Advances in water resources}, publisher = {Elsevier}, address = {Oxford}, issn = {0309-1708}, doi = {10.1016/j.advwatres.2015.12.004}, pages = {152 -- 169}, year = {2016}, abstract = {Rivers draining the southern Himalaya provide most of the water supply for the densely populated Indo-Gangetic plains. Despite the importance of water resources in light of climate change, the relative contributions of rainfall, snow and glacier melt to discharge are not well understood, due to the scarcity of ground-based data in this complex terrain. Here, we quantify discharge sources in the Sutlej Valley, western Himalaya, from 2000 to 2012 with a distributed hydrological model that is based on daily, ground-calibrated remote-sensing observation. Based on the consistently good model performance, we analyzed the spatiotemporal distribution of hydrologic components and quantified their contribution to river discharge. Our results indicate that the Sutlej River's annual discharge at the mountain front is sourced to 55\% by effective rainfall (rainfall reduced by evapotranspiration), 35\% by snow melt and 10\% by glacier melt. In the high-elevation orogenic interior glacial runoff contributes \&\#8764;30\% to annual river discharge. These glacier melt contributions are especially important during years with substantially reduced rainfall and snowmelt runoff, as during 2004, to compensate for low river discharge and ensure sustained water supply and hydropower generation. In 2004, discharge of the Sutlej River totaled only half the maximum annual discharge; with 17.3\% being sourced by glacier melt. Our findings underscore the importance of calibrating remote-sensing data with ground-based data to constrain hydrological models with reasonable accuracy. For instance, we found that TRMM (Tropical Rainfall Measuring Mission) product 3B42 V7 systematically overestimates rainfall in arid regions of our study area by a factor of up to 5. By quantifying the spatiotemporal distribution of water resources we provide an important assessment of the potential impact of global warming on river discharge in the western Himalaya. Given the near-global coverage of the utilized remote-sensing datasets this hydrological modeling approach can be readily transferred to other data-sparse regions.}, language = {en} } @article{SchwanghartScherler2020, author = {Schwanghart, Wolfgang and Scherler, Dirk}, title = {Divide mobility controls knickpoint migration on the Roan Plateau (Colorado, USA)}, series = {Geology}, volume = {48}, journal = {Geology}, number = {7}, publisher = {Geological Society of America}, address = {Boulder, Colo.}, issn = {0091-7613}, doi = {10.1130/G47054.1}, pages = {698 -- 702}, year = {2020}, abstract = {Knickpoints in longitudinal river profiles are proxies for the climatic and tectonic history of active mountains. The analysis of river profiles commonly relies on the assumption that drainage network configurations are stable. Here, we show that this assumption must be made cautiously if changes in contributing area are fast relative to knickpoint migration rates. We studied the Parachute Creek basin in the Roan Plateau, Colorado, United States, where knickpoint retreat occurs in horizontally uniform lithology so that drainage area is the sole governing variable. In this basin, we identified an anomalous catchment in the degree to which a stream power-based model predicted knickpoint locations. The catchment is experiencing area loss as the plateau edge is eroded by cliff migration in proximity to the Colorado River. Model predictions improve if the plateau edge is assumed to have migrated over the time scale of knickpoint retreat. Finally, a Lagrangian model of knickpoint migration enabled us to study the kinematic links between drainage area loss and knickpoint migration and offered constraints on the temporal aspects of area loss. Modeled onset and amount of area loss are consistent with cliff retreat rates along the margin of the Roan Plateau inferred from the incisional history of the upper Colorado River.}, language = {en} } @article{ScherlerSchwanghart2020, author = {Scherler, Dirk and Schwanghart, Wolfgang}, title = {Drainage divide networks}, series = {Earth surface dynamics}, volume = {8}, journal = {Earth surface dynamics}, number = {2}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {2196-6311}, doi = {10.5194/esurf-8-261-2020}, pages = {261 -- 274}, year = {2020}, abstract = {Drainage divides are organized into tree-like networks that may record information about drainage divide mobility. However, views diverge about how to best assess divide mobility. Here, we apply a new approach of automatically extracting and ordering drainage divide networks from digital elevation models to results from landscape evolution model experiments. We compared landscapes perturbed by strike-slip faulting and spatiotemporal variations in erodibility to a reference model to assess which topographic metrics (hillslope relief, flow distance, and chi) are diagnostic of divide mobility. Results show that divide segments that are a minimum distance of similar to 5 km from river confluences strive to attain constant values of hillslope relief and flow distance to the nearest stream. Disruptions of such patterns can be related to mobile divides that are lower than stable divides, closer to streams, and often asymmetric in shape. In general, we observe that drainage divides high up in the network, i.e., at great distances from river confluences, are more susceptible to disruptions than divides closer to these confluences and are thus more likely to record disturbance for a longer time period. We found that across-divide differences in hillslope relief proved more useful for assessing divide migration than other tested metrics. However, even stable drainage divide networks exhibit across-divide differences in any of the studied topographic metrics. Finally, we propose a new metric to quantify the connectivity of divide junctions.}, language = {en} } @article{ScherlerSchwanghart2020, author = {Scherler, Dirk and Schwanghart, Wolfgang}, title = {Drainage divide networks - part 1: Identification and ordering in digital elevation models}, series = {Earth surface dynamics : ESURF}, volume = {8}, journal = {Earth surface dynamics : ESURF}, number = {2}, publisher = {Copernicus Publ.}, address = {G{\"o}ttingen}, issn = {2196-6311}, doi = {10.5194/esurf-8-245-2020}, pages = {245 -- 259}, year = {2020}, abstract = {We propose a novel way to measure and analyze networks of drainage divides from digital elevation models. We developed an algorithm that extracts drainage divides based on the drainage basin boundaries defined by a stream network. In contrast to streams, there is no straightforward approach to order and classify divides, although it is intuitive that some divides are more important than others. A meaningful way of ordering divides is the average distance one would have to travel down on either side of a divide to reach a common stream location. However, because measuring these distances is computationally expensive and prone to edge effects, we instead sort divide segments based on their tree-like network structure, starting from endpoints at river confluences. The sorted nature of the network allows for assigning distances to points along the divides, which can be shown to scale with the average distance downslope to the common stream location. Furthermore, because divide segments tend to have characteristic lengths, an ordering scheme in which divide orders increase by 1 at junctions mimics these distances. We applied our new algorithm to the Big Tujunga catchment in the San Gabriel Mountains of southern California and studied the morphology of the drainage divide network. Our results show that topographic metrics, like the downstream flow distance to a stream and hillslope relief, attain characteristic values that depend on the drainage area threshold used to derive the stream network. Portions along the divide network that have lower than average relief or are closer than average to streams are often distinctly asymmetric in shape, suggesting that these divides are unstable. Our new and automated approach thus helps to objectively extract and analyze divide networks from digital elevation models.}, language = {en} }