Adam P. Schreiner-McGraw
Arizona State University
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Publication
Featured researches published by Adam P. Schreiner-McGraw.
Ecosphere | 2014
Enrique R. Vivoni; Albert Rango; Cody A. Anderson; Nicole A. Pierini; Adam P. Schreiner-McGraw; Srikanth Saripalli; Andrea S. Laliberte
High-resolution characterizations and predictions are a grand challenge for ecohydrology. Recent advances in flight control, robotics and miniaturized sensors using unmanned aerial vehicles (UAVs) provide an unprecedented opportunity for characterizing, monitoring and modeling ecohydrologic systems at high-resolution (<1 m) over a range of scales. How can the ecologic and hydrologic communities most effectively use UAVs for advancing the state of the art? This Innovative Viewpoints paper introduces the utility of two classes of UAVs for ecohydrologic investigations in two semiarid rangelands of the southwestern U.S. through two useful examples. We discuss the UAV deployments, the derived image, terrain and vegetation products and their usefulness for ecohydrologic studies at two different scales. Within a land-atmosphere interaction study, we utilize high-resolution imagery products from a rotary-wing UAV to characterize an eddy covariance footprint and scale up environmental sensor network observations to match the time-varying sampling area. Subsequently, in a surface and subsurface interaction study within a small watershed, we demonstrate the use of a fixed-wing UAV to characterize the spatial distribution of terrain attributes and vegetation conditions which serve as input to a distributed ecohydrologic model whose predictions compared well with an environmental sensor network. We also point to several challenges in performing ecohydrology with UAVs with the intent of promoting this new self-service (do-it-yourself) model for high-resolution image acquisition over many scales. We believe unmanned aerial vehicles can fundamentally change how ecohydrologic science is conducted and offer ways to merge remote sensing, environmental sensor networks and numerical models.
Water Resources Research | 2018
Adam P. Schreiner-McGraw; Enrique R. Vivoni
Channel transmission losses alter the streamflow response of arid and semiarid watersheds and promote focused groundwater recharge. This process has been primarily studied in dryland channels draining large areas that are displaced away from hillslope runoff generation. In contrast, small watersheds on arid piedmont slopes allow the investigation of interactive hillslope and channel processes that control the partitioning between surface and subsurface flows. In this study, we utilize high-resolution, long-term measurements of water balance components in an instrumented watershed of the Chihuahuan Desert to set up, parameterize, and test a process-based, distributed hydrologic model modified to account for channel losses. A transient method for capturing capillary effects in channels results in simulations with a reliable representation of the watershed energy balance, soil moisture dynamics, hillslope infiltration, channel transmission (or percolation) losses, and streamflow yield over the study period. The simulation also reproduces a conceptual model of hillslope infiltration-excess runoff generation linked to downstream channel percolation losses that depend on the rainfall event size. Model-derived thresholds were obtained for the amount of hillslope runoff (6 mm) and rainfall (12.5 mm) necessary for streamflow yield, such that 40% of percolation occurs for small events that do not reach the outlet. Using a set of scenarios, we identify that hillslope infiltration controls the rainfall threshold necessary to initiate percolation, while channel infiltration affects the partitioning into percolation and streamflow yield. Thus, the connectivity along hillslope-channel pathways is deemed an essential control on the streamflow generation and groundwater recharge in arid regions with complex terrain.
Science of The Total Environment | 2018
M.J. Rossi; J.O. Ares; E.G. Jobbágy; Enrique R. Vivoni; R.W. Vervoort; Adam P. Schreiner-McGraw; Patricia M. Saco
An improved understanding of the drivers controlling infiltration patterns in semiarid regions is of key importance, as they have important implications for ecosystem productivity, retention of resources and the restoration of degraded areas. The infiltration depth variability (ΔInf) in vegetation patches at the hillslope scale can be driven by different factors along the hillslope. Here we investigate the effects of vegetation and terrain attributes under hypothesis that these attributes exert a major control in ΔInf within the patches. We characterise the ΔInf within vegetation patches at a semiarid hillslope located at the Jornada Experimental Range at dry antecedent conditions preceding two winter frontal rainfall events. We measured these events that are typical during winter conditions, and are characterised by low intensity (0.67 and 4.48 mm h-1) and a total rainfall of 10.4 and 4.6 mm. High precision geo-referenced wetting front depth measurements were taken at various locations within the vegetation patches using differential GPS. Vegetation and terrain attributes were analysed to explain the ΔInf among the vegetation patches. The infiltration depths in the periphery of the patches were in general considerably deeper than those in the centre. The observations suggest that the upslope margin of the patches received additional water in the form of runon from upslope adjacent bare soil. Patch orientation with regard to the slope dictated the effect of the rest of the patch attributes and the distance to the hillslope crest on ΔInf. We found that primarily patch orientation, followed by shape and size modulate lateral surface water transport through their effects on overland flow paths and water retention; something that would be obscured under more simplistic characterisations based on bare versus uniform vegetated soil discrimination.
Hydrology and Earth System Sciences | 2016
Adam P. Schreiner-McGraw; Enrique R. Vivoni; Giuseppe Mascaro; Trenton E. Franz
Agricultural and Forest Meteorology | 2018
Joel A. Biederman; Russell L. Scott; John A. Arnone; Richard L. Jasoni; Marcy E. Litvak; Michael T. Moreo; Shirley A. Papuga; Guillermo E. Ponce-Campos; Adam P. Schreiner-McGraw; Enrique R. Vivoni
Ecosphere | 2017
Adam P. Schreiner-McGraw; Enrique R. Vivoni
Journal of Geophysical Research | 2018
Nicole P. Templeton; Enrique R. Vivoni; Zhi Hua Wang; Adam P. Schreiner-McGraw
Remote Sensing of the Terrestrial Water Cycle | 2014
Albert Rango; Enrique R. Vivoni; Cody A. Anderson; Nicole A. Pierini; Adam P. Schreiner-McGraw; Srikanth Saripalli; A. Slaughter; A. S. Laliberte
Journal of Geophysical Research | 2018
Nicole P. Templeton; Enrique R. Vivoni; Zhi Hua Wang; Adam P. Schreiner-McGraw
Archive | 2015
Enrique R. Vivoni; Nicole A. Pierini; Adam P. Schreiner-McGraw; Ivan Lopez-Castrillo