Tropospheric Airborne Meteorological Data Reporting (TAMDAR) Sensor Development

Daniels, Taumi S.

doi:10.4271/2002-01-1523

Cited by 17 publications

(17 citation statements)

References 6 publications

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“…TAMDAR is a low-cost sensor that was developed by AirDat, LLC, for NASA. It is designed to measure and report winds, temperature, humidity, turbulence, and icing from regional commercial aircraft (Daniels 2002). The TAMDAR icing sensor contains two independent infrared emitter-detector pairs mounted on the probe to detect ice accretion.…”

Section: Tamdarmentioning

confidence: 99%

Determining the Flight Icing Threat to Aircraft with Single-Layer Cloud Parameters Derived from Operational Satellite Data

Smith¹,

Minnis²,

Fleeger³

et al. 2012

Journal of Applied Meteorology and Climatology

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An algorithm is developed to determine the flight icing threat to aircraft utilizing quantitative information on clouds derived from meteorological satellite data as input. Algorithm inputs include the satellite-derived cloud-top temperature, thermodynamic phase, water path, and effective droplet size. The icing-top and -base altitude boundaries are estimated from the satellite-derived cloud-top and -base altitudes using the freezing level obtained from numerical weather analyses or a lapse-rate approach. The product is available at the nominal resolution of the satellite pixel. Aircraft pilot reports (PIREPs) over the United States and southern Canada provide direct observations of icing and are used extensively in the algorithm development and validation on the basis of correlations with Geostationary Operational Environmental Satellite imager data. Verification studies using PIREPs, Tropospheric Airborne Meteorological Data Reporting, and NASA Icing Remote Sensing System data indicate that the satellite algorithm performs reasonably well, particularly during the daytime. The algorithm is currently being run routinely using data taken from a variety of satellites across the globe and is providing useful information on icing conditions at high spatial and temporal resolutions that are unavailable from any other source.

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Section: Tamdarmentioning

confidence: 99%

Determining the Flight Icing Threat to Aircraft with Single-Layer Cloud Parameters Derived from Operational Satellite Data

Smith¹,

Minnis²,

Fleeger³

et al. 2012

Journal of Applied Meteorology and Climatology

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“…53,54 A robust, compact, lightweight, low-cost, integrated sensor system, referred to as a Tropospheric Airborne Meteorological Data Reporting (TAMDAR) sensor, has been developed to automatically measure and report humidity, pressure, temperature, wind, turbulence, icing, and location from aircraft in flight. TAMDAR enables the use of smaller, lower-flying aircraft as airborne sensor platforms to generate in-situ measurements, provides the capability to make observations at all flight altitudes and significantly increases the quality and coverage, both temporal and spatial, of atmospheric observations, thus enabling improvement in the accuracy of hazardous aviation weather identification and its avoidance for safety of flight.…”

Section: A Tropospheric Airborne Meteorological Data Reportingmentioning

confidence: 99%

New Technologies for Weather Accident Prevention

Stough¹,

Watson²,

Daniels³

et al. 2005

AIAA 5th ATIO And16th Lighter-Than-Air Sys Tech. And Balloon Systems Conferences

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Weather is a causal factor in thirty percent of all aviation accidents. Many of these accidents are due to a lack of weather situation awareness by pilots in flight. Improving the strategic and tactical weather information available and its presentation to pilots in flight can enhance weather situation awareness and enable avoidance of adverse conditions. This paper presents technologies for airborne detection, dissemination and display of weather information developed by the National Aeronautics and Space Administration (NASA) in partnership with the Federal Aviation Administration (FAA), National Oceanic and Atmospheric Administration (NOAA), industry and the research community. These technologies, currently in the initial stages of implementation by industry, will provide more precise and timely knowledge of the weather and enable pilots in flight to make decisions that result in safer and more efficient operations.

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“…Recently, as a joint effort among the National Aeronautics and Space Administration (NASA), the Federal Aviation Administration (FAA), the National Oceanic and Atmospheric Administration (NOAA), and AirDat LLC (http:// www.airdat.com/), the Tropospheric Airborne Meteorological Data Reporting (TAMDAR) project was established [13][14][15]. The TAMDAR sensors are specifically designed to instrument smaller commercial aircraft that fly in the lower and middle troposphere with frequent ascents and descents over the CONUS and other parts of the world [16].…”

Section: Introductionmentioning

confidence: 99%

“…The TAMDAR sensors are specifically designed to instrument smaller commercial aircraft that fly in the lower and middle troposphere with frequent ascents and descents over the CONUS and other parts of the world [16]. TAMDAR provides measurements of humidity, pressure, temperature, and winds as well as icing and turbulence during the ascents, descents, and cruises of aircraft.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Impacts of Assimilating the TAMDAR Data on 12/4 km Grid WRF-Based RTFDDA Simulations over the CONUS

Zhang

Liu

Nipen

2016

Advances in Meteorology

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An analysis of the impacts of assimilating the Tropospheric Airborne Meteorological Data Report (TAMDAR) data with the Weather Research and Forecasting-(WRF-) real-time four-dimensional data assimilation (RTFDDA) and forecasting system over the Contiguous US (CONUS) is presented. The impacts of the horizontal resolution increase from 12 km to 4 km on the WRF-RTFDDA simulations are also examined in conjunction with the TAMDAR data impacts. The assimilation of the TAMDAR data reduces the root mean squared error of the moisture field predictions and increases the correlation between the predictions and the observations for both domains with 12 km and 4 km grid spacings. The TAMDAR data reduce the model dry biases in the middle and lower levels by adding moisture at those levels. Assimilating the TAMDAR data improves temperature predictions at middle to high levels and wind speed predictions at all levels especially for the 12 km domain. Increasing the horizontal resolution from 12 km to 4 km results in significantly larger impacts on surface variables than assimilating the TAMDAR data.

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Tropospheric Airborne Meteorological Data Reporting (TAMDAR) Sensor Development

Cited by 17 publications

References 6 publications

Determining the Flight Icing Threat to Aircraft with Single-Layer Cloud Parameters Derived from Operational Satellite Data

Determining the Flight Icing Threat to Aircraft with Single-Layer Cloud Parameters Derived from Operational Satellite Data

New Technologies for Weather Accident Prevention

Evaluation of the Impacts of Assimilating the TAMDAR Data on 12/4 km Grid WRF-Based RTFDDA Simulations over the CONUS

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