scholarly journals Physics-based continuous simulation of long-term near-surface hydrologic response for the Coos Bay experimental catchment

2008 ◽  
Vol 44 (7) ◽  
Author(s):  
Brian A. Ebel ◽  
Keith Loague ◽  
David R. Montgomery ◽  
William E. Dietrich
Keyword(s):  
Hydrologic Response ◽  
Near Surface ◽  
Continuous Simulation ◽  
Coos Bay

Near-surface hydrologic response for a steep, unchanneled catchment near Coos Bay, Oregon: 2. Physics-based simulations

2007 ◽  
Vol 307 (4) ◽  
pp. 709-748 ◽  
Author(s):  
B. A. Ebel ◽  
K. Loague ◽  
J. E. Vanderkwaak ◽  
W. E. Dietrich ◽  
D. R. Montgomery ◽  
...  
Keyword(s):  
Hydrologic Response ◽  
Near Surface ◽  
Coos Bay

Near-surface hydrologic response for a steep, unchanneled catchment near Coos Bay, Oregon: 1. Sprinkling experiments

2007 ◽  
Vol 307 (10) ◽  
pp. 1194-1195
Author(s):  
B. A. Ebel ◽  
K. Loague ◽  
W. E. Dietrich ◽  
D. R. Montgomery ◽  
R. Torres ◽  
...  
Keyword(s):  
Hydrologic Response ◽  
Near Surface ◽  
Coos Bay

Near-surface hydrologic response for a steep, unchanneled catchment near Coos Bay, Oregon: 1. sprinkling experiments

2007 ◽  
Vol 307 (4) ◽  
pp. 678-708 ◽  
Author(s):  
B. A. Ebel ◽  
K. Loague ◽  
W. E. Dietrich ◽  
D. R. Montgomery ◽  
R. Torres ◽  
...  
Keyword(s):  
Hydrologic Response ◽  
Near Surface ◽  
Coos Bay

Long-term performance of zeolite Na A-X blend as backfill material in near surface disposal vault

2009 ◽  
Vol 149 (1-3) ◽  
pp. 143-152 ◽  
Author(s):  
R.O. Abdel Rahman ◽  
H.A. Ibrahim ◽  
N.M. Abdel Monem
Keyword(s):  
Near Surface ◽  
Backfill Material ◽  
Long Term Performance ◽  
Term Performance

scholarly journals Simulated effect of a forest road on near-surface hydrologic response: redux

2006 ◽  
Vol 32 (1) ◽  
pp. 126-142 ◽  
Author(s):  
Benjamin B. Mirus ◽  
Brian A. Ebel ◽  
Keith Loague ◽  
Beverley C. Wemple
Keyword(s):  
Hydrologic Response ◽  
Near Surface ◽  
Forest Road ◽  
Simulated Effect

scholarly journals On the Use of Rotary-Wing Aircraft to Sample Near-Surface Thermodynamic Fields: Results from Recent Field Campaigns

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 10 ◽  
Author(s):  
Temple Lee ◽  
Michael Buban ◽  
Edward Dumas ◽  
C. Baker
Keyword(s):  
Weather Prediction ◽  
Chemical Properties ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Spatiotemporal Variability ◽  
Near Surface ◽  
Field Campaigns ◽  
High Level ◽  
Rotary Wing

Rotary-wing small unmanned aircraft systems (sUAS) are increasingly being used for sampling thermodynamic and chemical properties of the Earth’s atmospheric boundary layer (ABL) because of their ability to measure at high spatial and temporal resolutions. Therefore, they have the potential to be used for long-term quasi-continuous monitoring of the ABL, which is critical for improving ABL parameterizations and improving numerical weather prediction (NWP) models through data assimilation. Before rotary-wing aircraft can be used for these purposes, however, their performance and the sensors used therein must be adequately characterized. In the present study, we describe recent calibration and validation procedures for thermodynamic sensors used on two rotary-wing aircraft: A DJI S-1000 and MD4-1000. These evaluations indicated a high level of confidence in the on-board measurements. We then used these measurements to characterize the spatiotemporal variability of near-surface (up to 300-m AGL) temperature and moisture fields as a component of two recent field campaigns: The Verification of the Origins of Rotation in Tornadoes Experiment in the Southeast U.S. (VORTEX-SE) in Alabama, and the Land Atmosphere Feedback Experiment (LAFE) in northern Oklahoma.

scholarly journals Stochastic semi-continuous simulation for extreme flood estimation in catchments with combined rainfall–snowmelt flood regimes

2014 ◽  
Vol 14 (5) ◽  
pp. 1283-1298 ◽  
Author(s):  
D. Lawrence ◽  
E. Paquet ◽  
J. Gailhard ◽  
A. K. Fleig
Keyword(s):  
Frequency Analysis ◽  
Probabilistic Model ◽  
Extreme Precipitation ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Continuous Simulation ◽  
Weather Patterns ◽  
Extreme Flood ◽  
Flood Estimation

Abstract. Simulation methods for extreme flood estimation represent an important complement to statistical flood frequency analysis because a spectrum of catchment conditions potentially leading to extreme flows can be assessed. In this paper, stochastic, semi-continuous simulation is used to estimate extreme floods in three catchments located in Norway, all of which are characterised by flood regimes in which snowmelt often has a significant role. The simulations are based on SCHADEX, which couples a precipitation probabilistic model with a hydrological simulation such that an exhaustive set of catchment conditions and responses is simulated. The precipitation probabilistic model is conditioned by regional weather patterns, and a bottom–up classification procedure was used to define a set of weather patterns producing extreme precipitation in Norway. SCHADEX estimates for the 1000-year (Q1000) discharge are compared with those of several standard methods, including event-based and long-term simulations which use a single extreme precipitation sequence as input to a hydrological model, statistical flood frequency analysis based on the annual maximum series, and the GRADEX method. The comparison suggests that the combination of a precipitation probabilistic model with a long-term simulation of catchment conditions, including snowmelt, produces estimates for given return periods which are more in line with those based on statistical flood frequency analysis, as compared with the standard simulation methods, in two of the catchments. In the third case, the SCHADEX method gives higher estimates than statistical flood frequency analysis and further suggests that the seasonality of the most likely Q1000 events differs from that of the annual maximum flows. The semi-continuous stochastic simulation method highlights the importance of considering the joint probability of extreme precipitation, snowmelt rates and catchment saturation states when assigning return periods to floods estimated by precipitation-runoff methods. The SCHADEX methodology, as applied here, is dependent on observed discharge data for calibration of a hydrological model, and further study to extend its application to ungauged catchments would significantly enhance its versatility.

Experimental study and numerical simulation of long-term behavior of timber beams strengthened with near surface mounted CFRP bars

2016 ◽  
Vol 50 (1) ◽  
Author(s):  
Qingfeng Xu ◽  
Lingzhu Chen ◽  
Kent A. Harries ◽  
Fuwen Zhang ◽  
Zhuolin Wang ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Experimental Study ◽  
Near Surface ◽  
Near Surface Mounted ◽  
Long Term Behavior ◽  
Timber Beams
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