Realizing the Potential of Vehicle-Based Observations

Mahoney, William P.; O'Sullivan, James M.

doi:10.1175/bams-d-12-00044.1

Cited by 48 publications

(37 citation statements)

References 6 publications

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“…UAVs have improved greatly in size and efficiency in recent times; however, they are still costly to operate, both in funds and labor. Recent papers have highlighted the potential of using smartphone and vehicle-based pressure and temperature observations for improved high-resolution weather analysis and prediction (Mahoney and O'Sullivan 2013;Mass and Madaus 2014). We propose that airborne data from birds could be complementary to these data sources, particularly in remote areas and mountainous regions, where UAV access is difficult and smartphones and vehicles are not abundant.…”

Section: Bird Flight Is Strongly Related To Meteorological Conditionsmentioning

confidence: 99%

Using High-Resolution GPS Tracking Data of Bird Flight for Meteorological Observations

Treep

Bohrer

Shamoun‐Baranes

et al. 2016

Bulletin of the American Meteorological Society

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Bird flight is strongly influenced by local meteorological conditions. With increasing amounts of high-frequency GPS data of bird movement becoming available, as tags become cheaper and lighter, opportunities are created to obtain large datasets of quantitative meteorological information from observations conducted by bird-borne tags. In this article we propose a method for estimating wind velocity and convective velocity scale from tag-based high-frequency GPS data of soaring birds in flight. The flight patterns of soaring birds are strongly influenced by the interactions between atmospheric boundary layer processes and the morphology of the bird; climb rates depend on vertical air motion, flight altitude depends on boundary layer height, and drift off the bird’s flight path depends on wind speed and direction. We combine aerodynamic theory of soaring bird flight, the bird’s morphological properties, and three-dimensional GPS measurements at 3-s intervals to estimate the convective velocity scale and horizontal wind velocity at the locations and times of flight. We use wind speed and direction observations from meteorological ground stations and estimates of convective velocity from the Ocean–Land–Atmosphere Model (OLAM) to evaluate our findings. Although not collocated, our wind velocity estimates are consistent with ground station data, and convective velocity–scale estimates are consistent with the meteorological model. Our work demonstrates that biologging offers a novel alternative approach for estimating atmospheric conditions on a spatial and temporal scale that complements existing meteorological measurement systems.

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Section: Bird Flight Is Strongly Related To Meteorological Conditionsmentioning

confidence: 99%

Using High-Resolution GPS Tracking Data of Bird Flight for Meteorological Observations

Treep

Bohrer

Shamoun‐Baranes

et al. 2016

Bulletin of the American Meteorological Society

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“…Sensor-equipped maintenance vehicles can provide close to the ground road weather information compared with all other weather information sources. However, mobile sensing technologies need to be matured to collect reliable road weather data [47]. Challenges to mobile sensor technologies include low cost and reliable sensor design, integration with vehicle infrastructure, data collection and management systems, data processing, quality check, and dissemination to management centers/decision makers [47].…”

Section: B Public-private Collaborationmentioning

confidence: 99%

“…However, mobile sensing technologies need to be matured to collect reliable road weather data [47]. Challenges to mobile sensor technologies include low cost and reliable sensor design, integration with vehicle infrastructure, data collection and management systems, data processing, quality check, and dissemination to management centers/decision makers [47]. While ITS road weather applications were widely deployed in developed countries, there were very limited applications in developing countries.…”

Section: B Public-private Collaborationmentioning

confidence: 99%

Potential of Intelligent Transportation Systems in Mitigating Adverse Weather Impacts on Road Mobility: A Review

Dey

Mishra

Chowdhury

2015

IEEE Trans. Intell. Transport. Syst.

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Adverse weather conditions for roads, which cause transportation systems to perform far below capacity, can severely affect society's economic output. As elimination of road weather events is not possible, transportation agencies perform proactive and reactive maintenance activities to minimize adverse impacts to keep roadways in optimum condition. While reactive maintenance activities are conducted to clear roadways after the occurrence of extreme weather events, proactive activities minimize these impacts beforehand. The success of proactive activities solely depends on the availability of accurate road weather information, however. Traditional road weather forecasting techniques rely on governmental weather services, which are not appropriate to predict route-specific road weather conditions. In this paper, the authors reviewed current intelligent transportation systems (ITS)-based solutions for minimizing road weather impacts and possible ITS innovations to incorporate diverse data sources to improve road weather management activities. ITS-based initiatives, such as road weather information system (RWIS), allow transportation agencies obtain accurate road weather assessments. Location-specific infrastructures such as RWIS are cost prohibitive for system-wide deployments. Connected vehicles equipped with weather sensors could enhance mobile road weather data collection. This strategy could improve proactive maintenance programs and reduce adverse effects of weather to the surface transportation system.

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“…Solid-state atmospheric pressure sensors are found in most cars and trucks, which also possess ambient temperature sensors for use in engine management computers (Mahoney and O'Sullivan 2013). Solid-state atmospheric pressure sensors are found in most cars and trucks, which also possess ambient temperature sensors for use in engine management computers (Mahoney and O'Sullivan 2013).…”

Section: Smartphone Pressure Observa-tionsmentioning

confidence: 99%

Surface Pressure Observations from Smartphones: A Potential Revolution for High-Resolution Weather Prediction?

Mass

Madaus

2014

Bulletin of the American Meteorological Society

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Millions of smartphones possess relatively accurate pressure sensors and the expectation is that these numbers will grow into the hundreds of millions globally during the next few years. The availability of millions of pressure observations each hour from smartphones has major implications for high-resolution numerical weather prediction. This paper reviews smartphone pressure-sensor technology, describes commercial efforts to collect the data in real time, examines the implications for mesoscale weather prediction, and provides an example of assimilating smartphone pressure observations for a strong convective event over eastern Washington State.

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Realizing the Potential of Vehicle-Based Observations

Cited by 48 publications

References 6 publications

Using High-Resolution GPS Tracking Data of Bird Flight for Meteorological Observations

Using High-Resolution GPS Tracking Data of Bird Flight for Meteorological Observations

Potential of Intelligent Transportation Systems in Mitigating Adverse Weather Impacts on Road Mobility: A Review

Surface Pressure Observations from Smartphones: A Potential Revolution for High-Resolution Weather Prediction?

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