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Books on the topic 'Flush air data sensing'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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1

Larson, Terry J. Wind-tunnel investigation of a flush airdata system at Mach numbers from 0.7 to 1.4. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.

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2

Strub, Richard. BOREAS level-0 ER-2 navigation data. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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3

J, Davis Roy, Fife John Michael, and Hugh L. Dryden Flight Research Center., eds. In-flight demonstration of a Real-Time Flush Airdata Sensing (RT-FADS) system. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1995.

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4

J, Davis Roy, Fife John Michael, and Hugh A. Dryden Flight Research Center., eds. In-flight demonstration of a Real-Time Flush Airdata Sensing (RT-FADS) system. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1995.

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5

J, Davis Roy, Fife John Michael, and Hugh A. Dryden Flight Research Center., eds. In-flight demonstration of a Real-Time Flush Airdata Sensing (RT-FADS) system. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1995.

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6

R, Cobleigh Brent, Haering Edward A, and NASA Dryden Flight Research Center., eds. Design and calibration of the X-33 flush airdata sensing (FADS) system. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.

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7

Qualitative evaluation of a flush air data system at transonic speeds and high angles of attack. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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8

Wind-tunnel investigation of a flush airdata system at Mach numbers from 0.7 to 1.4. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.

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9

R, Moes Timothy, Siemers Paul M, and Dryden Flight Research Facility, eds. Wind-tunnel investigation of a flush airdata system at Mach numbers from 0.7 to 1.4. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1990.

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10

Roseanne, Dominguez, Newcomer J, and Goddard Space Flight Center, eds. BOREAS level-0 ER-2 navigation data. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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11

Roseanne, Dominguez, Newcomer J, and Goddard Space Flight Center, eds. BOREAS level-0 ER-2 navigation data. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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12

Roseanne, Dominguez, Newcomer J, and Goddard Space Flight Center, eds. BOREAS level-0 ER-2 navigation data. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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13

R, Moes Timothy, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Measurement uncertainty and a feasibility study of a flush airdata system for a hypersonic flight experiment. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1994.

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14

Surface and upper-air meteorological data acquired during the central California ozone study (CCOS). Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Air Resources Laboratory, 2000.

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15

H, Crescenti Gennaro, and Air Resources Laboratory (U.S.), eds. Surface and upper-air meteorological data acquired during the central California ozone study (CCOS). Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Air Resources Laboratory, 2000.

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16

Genesis of Atlantic Lows Experiment: NASA electra boundary layer flights data report. [Washington, D.C.]: National Aeronautics and Space Administration, Management Information Division [i.e. Information Management Division], 1988.

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17

Center, Langley Research, and United States. National Aeronautics and Space Administration., eds. Development of data processing, interpretation and analysis system for remote sensing of trace atmospheric gas species. Hampton, VA: National Aeronautics and Space Administration, Langley Research Center, 1986.

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18

Xue, Yongkang, Yaoming Ma, and Qian Li. Land–Climate Interaction Over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.592.

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Abstract:
The Tibetan Plateau (TP) is the largest and highest plateau on Earth. Due to its elevation, it receives much more downward shortwave radiation than other areas, which results in very strong diurnal and seasonal changes of the surface energy components and other meteorological variables, such as surface temperature and the convective atmospheric boundary layer. With such unique land process conditions on a distinct geomorphic unit, the TP has been identified as having the strongest land/atmosphere interactions in the mid-latitudes.Three major TP land/atmosphere interaction issues are presented in this article: (1) Scientists have long been aware of the role of the TP in atmospheric circulation. The view that the TP’s thermal and dynamic forcing drives the Asian monsoon has been prevalent in the literature for decades. In addition to the TP’s topographic effect, diagnostic and modeling studies have shown that the TP provides a huge, elevated heat source to the middle troposphere, and that the sensible heat pump plays a major role in the regional climate and in the formation of the Asian monsoon. Recent modeling studies, however, suggest that the south and west slopes of the Himalayas produce a strong monsoon by insulating warm and moist tropical air from the cold and dry extratropics, so the TP heat source cannot be considered as a factor for driving the Indian monsoon. The climate models’ shortcomings have been speculated to cause the discrepancies/controversies in the modeling results in this aspect. (2) The TP snow cover and Asian monsoon relationship is considered as another hot topic in TP land/atmosphere interaction studies and was proposed as early as 1884. Using ground measurements and remote sensing data available since the 1970s, a number of studies have confirmed the empirical relationship between TP snow cover and the Asian monsoon, albeit sometimes with different signs. Sensitivity studies using numerical modeling have also demonstrated the effects of snow on the monsoon but were normally tested with specified extreme snow cover conditions. There are also controversies regarding the possible mechanisms through which snow affects the monsoon. Currently, snow is no longer a factor in the statistic prediction model for the Indian monsoon prediction in the Indian Meteorological Department. These controversial issues indicate the necessity of having measurements that are more comprehensive over the TP to better understand the nature of the TP land/atmosphere interactions and evaluate the model-produced results. (3) The TP is one of the major areas in China greatly affected by land degradation due to both natural processes and anthropogenic activities. Preliminary modeling studies have been conducted to assess its possible impact on climate and regional hydrology. Assessments using global and regional models with more realistic TP land degradation data are imperative.Due to high elevation and harsh climate conditions, measurements over the TP used to be sparse. Fortunately, since the 1990s, state-of-the-art observational long-term station networks in the TP and neighboring regions have been established. Four large field experiments since 1996, among many observational activities, are presented in this article. These experiments should greatly help further research on TP land/atmosphere interactions.
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