scholarly journals Using high-resolution distributed temperature sensing to quantify spatial and temporal variability in vertical hyporheic flux

2012 ◽  
Vol 48 (2) ◽  
Author(s):  
Martin A. Briggs ◽  
Laura K. Lautz ◽  
Jeffrey M. McKenzie ◽  
Ryan P. Gordon ◽  
Danielle K. Hare
Keyword(s):  
High Resolution ◽  
Temporal Variability ◽  
Temperature Sensing ◽  
Spatial And Temporal Variability ◽  
Distributed Temperature Sensing

scholarly journals Assessment of a vertical high-resolution distributed-temperature-sensing system in a shallow thermohaline environment

2011 ◽  
Vol 15 (3) ◽  
pp. 1081-1093 ◽  
Author(s):  
F. Suárez ◽  
J. E. Aravena ◽  
M. B. Hausner ◽  
A. E. Childress ◽  
S. W. Tyler
Keyword(s):  
High Resolution ◽  
Temperature Sensing ◽  
Distributed Temperature Sensing ◽  
Temperature Resolution ◽  
Spatial And Temporal Scales ◽  
Solar Pond ◽  
Salt Gradient ◽  
Time Averages ◽  
Corrosive Environments ◽  
And Storage

Abstract. In shallow thermohaline-driven lakes it is important to measure temperature on fine spatial and temporal scales to detect stratification or different hydrodynamic regimes. Raman spectra distributed temperature sensing (DTS) is an approach available to provide high spatial and temporal temperature resolution. A vertical high-resolution DTS system was constructed to overcome the problems of typical methods used in the past, i.e., without disturbing the water column, and with resistance to corrosive environments. This paper describes a method to quantitatively assess accuracy, precision and other limitations of DTS systems to fully utilize the capacity of this technology, with a focus on vertical high-resolution to measure temperatures in shallow thermohaline environments. It also presents a new method to manually calibrate temperatures along the optical fiber achieving significant improved resolution. The vertical high-resolution DTS system is used to monitor the thermal behavior of a salt-gradient solar pond, which is an engineered shallow thermohaline system that allows collection and storage of solar energy for a long period of time. The vertical high-resolution DTS system monitors the temperature profile each 1.1 cm vertically and in time averages as small as 10 s. Temperature resolution as low as 0.035 °C is obtained when the data are collected at 5-min intervals.

scholarly journals Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO<sub>2</sub> measurements

2021 ◽  
Vol 14 (7) ◽  
pp. 5241-5269
Author(s):  
Vinod Kumar ◽  
Julia Remmers ◽  
Steffen Beirle ◽  
Joachim Fallmann ◽  
Astrid Kerkweg ◽  
...  
Keyword(s):  
High Resolution ◽  
Atmospheric Chemistry ◽  
Temporal Variability ◽  
Model System ◽  
West Germany ◽  
Optical Absorption Spectroscopy ◽  
Anthropogenic Emissions ◽  
Spatial And Temporal Variability ◽  
Daily Variability

Abstract. We present high spatial resolution (up to 2.2×2.2 km2) simulations focussed over south-west Germany using the online coupled regional atmospheric chemistry model system MECO(n) (MESSy-fied ECHAM and COSMO models nested n times). Numerical simulation of nitrogen dioxide (NO2) surface volume mixing ratios (VMRs) are compared to in situ measurements from a network with 193 locations including background, traffic-adjacent and industrial stations to investigate the model's performance in simulating the spatial and temporal variability of short-lived chemical species. We show that the use of a high-resolution and up-to-date emission inventory is crucial for reproducing the spatial variability and resulted in good agreement with the measured VMRs at the background and industrial locations with an overall bias of less than 10 %. We introduce a computationally efficient approach that simulates diurnal and daily variability in monthly-resolved anthropogenic emissions to resolve the temporal variability of NO2. MAX-DOAS (Multiple AXis Differential Optical Absorption Spectroscopy) measurements performed at Mainz (49.99∘ N, 8.23∘ E) were used to evaluate the simulated tropospheric vertical column densities (VCDs) of NO2. We propose a consistent and robust approach to evaluate the vertical distribution of NO2 in the boundary layer by comparing the individual differential slant column densities (dSCDs) at various elevation angles. This approach considers details of the spatial heterogeneity and sensitivity volume of the MAX-DOAS measurements while comparing the measured and simulated dSCDs. The effects of clouds on the agreement between MAX-DOAS measurements and simulations have also been investigated. For low elevation angles (≤8∘), small biases in the range of −14 % to +7 % and Pearson correlation coefficients in the range of 0.5 to 0.8 were achieved for different azimuth directions in the cloud-free cases, indicating good model performance in the layers close to the surface. Accounting for diurnal and daily variability in the monthly-resolved anthropogenic emissions was found to be crucial for the accurate representation of time series of measured NO2 VMR and dSCDs and is particularly critical when vertical mixing is suppressed, and the atmospheric lifetime of NO2 is relatively long.

scholarly journals Actively heated high-resolution fiber-optic-distributed temperature sensing to quantify streambed flow dynamics in zones of strong groundwater upwelling

2016 ◽  
Vol 52 (7) ◽  
pp. 5179-5194 ◽  
Author(s):  
Martin A. Briggs ◽  
Sean F. Buckley ◽  
Amvrossios C. Bagtzoglou ◽  
Dale D. Werkema ◽  
John W. Lane
Keyword(s):  
High Resolution ◽  
Fiber Optic ◽  
Flow Dynamics ◽  
Temperature Sensing ◽  
Distributed Temperature Sensing

High-resolution distributed temperature sensing with the multiphoton-timing technique

1995 ◽  
Vol 34 (16) ◽  
pp. 2955 ◽  
Author(s):  
M. Höbel ◽  
J. Ricka ◽  
M. Wüthrich ◽  
Th. Binkert
Keyword(s):  
High Resolution ◽  
Temperature Sensing ◽  
Distributed Temperature Sensing

scholarly journals A distributed heat pulse sensor network for thermo-hydraulic monitoring of the soil subsurface

2020 ◽  
Vol 53 (3) ◽  
pp. 352-365 ◽  
Author(s):  
Corinna Abesser ◽  
Francesco Ciocca ◽  
John Findlay ◽  
David Hannah ◽  
Philip Blaen ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Temporal Dynamics ◽  
Temperature Response ◽  
Soil Disturbance ◽  
Temperature Sensing ◽  
Soil Parameters ◽  
Spatial And Temporal Variability ◽  
Fibre Optic ◽  
Distributed Temperature Sensing ◽  
Content Type

Fibre optic distributed temperature sensing (DTS) is used increasingly for environmental monitoring and subsurface characterization. Combined with heating of metal elements embedded within the fibre optic cable, the temperature response of the soil provides valuable information from which soil parameters such as thermal conductivity and soil moisture can be derived at high spatial and temporal resolution, and over long distances.We present a novel active distributed temperature sensing (A-DTS) system and its application to characterize spatial and temporal dynamics in soil thermal conductivity along a recently forested hillslope in Central England, UK. Compared with conventional techniques (needle probe surveys), A-DTS provided values with a similar spread although lower on average. The larger number of measurement points that A-DTS provides at higher spatial and temporal resolutions and the ability to repeat surveys under different meteorological or hydrological conditions allow for a more detailed examination of the spatial and temporal variability of thermal conductivities at the study site. Although system deployment time and costs are higher than with needle probes, A-DTS can be extremely appealing for applications requiring long-term monitoring, at high temporal repeatability, over long (kilometres) distances and with minimum soil disturbance, compared with one-off spatial surveys.Thematic collection: This article is part of the Measurement and monitoring collection available at: https://www.lyellcollection.org/cc/measurement-and-monitoring

scholarly journals Mapping high-resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smoother

2016 ◽  
Vol 52 (10) ◽  
pp. 7690-7710 ◽  
Author(s):  
Jianzhi Dong ◽  
Susan C. Steele-Dunne ◽  
Tyson E. Ochsner ◽  
Christine E. Hatch ◽  
Chadi Sayde ◽  
...  
Keyword(s):  
Soil Moisture ◽  
High Resolution ◽  
Temperature Sensing ◽  
Distributed Temperature Sensing ◽  
Sensing Data

scholarly journals Exploring the Feasibility of Low Cost Technology in Rainfall Monitoring: The TREBOADA Observing System

Proceedings ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 5 ◽  
Author(s):  
Ignacio Fraga ◽  
Alberto Alvarellos ◽  
José P. González-Coma
Keyword(s):  
High Resolution ◽  
Metropolitan Area ◽  
Temporal Variability ◽  
Low Cost ◽  
Observation System ◽  
Spatial And Temporal Variability ◽  
Rain Gauges ◽  
Gauge Data ◽  
Meteorological Radar ◽  
The Cost

In order to characterize the spatial and temporal variability of the rainfall, we have developed an observation system to monitor the precipitation over the metropolitan area of A Coruña. The observation system (called TREBOADA) consists of a network of rain gauges, comprising gauges operated by the regional weather agency and rain gauges deployed specifically for TREBOADA. The latter ones are built using low cost technology, which significantly reduces the cost of each gauge. Data from the rain gauges are combined with rain observations from the meteorological radar to produce high resolution rain products.

scholarly journals FINE STRUCTURE IN MANHATTAN’S DAYTIME URBAN HEAT ISLAND: A NEW DATASET

2014 ◽  
pp. 59-74 ◽  
Author(s):  
Brian Vant-Hull ◽  
Maryam Karimi ◽  
Awolou Sossa ◽  
Jade Wisanto ◽  
Rouzbeh Nazari ◽  
...  
Keyword(s):  
Quality Control ◽  
Fine Structure ◽  
High Resolution ◽  
Relative Humidity ◽  
Urban Health ◽  
Temporal Variability ◽  
Spatial And Temporal Variability ◽  
Data Sets ◽  
Heat Island ◽  
Urban Heat

A street-level temperature and humidity dataset with high resolution spatial and temporal components has been created for the island of Manhattan, suitable for use by the urban health and modeling communities. It consists of a set of pedestrian measurements over the course of two summers converted into anomaly maps, and a set of ten light-post mounted installations measuring temperature, relative humidity, and illumination at three minute intervals over three months. The quality control and data reduction used to produce the anomaly maps is described, and the relationships between spatial and temporal variability are investigated. The data sets are available for download via the project website.

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