Tai-g Fan
Langley Research Center
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Tai-g Fan.
Optics Express | 2015
Bing Lin; Amin R. Nehrir; F. Wallace Harrison; Edward V. Browell; Syed Ismail; Michael D. Obland; Joel F. Campbell; Jeremy Dobler; Byron L. Meadows; Tai-Fang Fan; Susan A. Kooi
This study evaluates the capability of atmospheric CO2 column measurements under cloudy conditions using an airborne intensity-modulated continuous-wave integrated-path-differential-absorption lidar operating in the 1.57-μm CO2 absorption band. The atmospheric CO2 column amounts from the aircraft to the tops of optically thick cumulus clouds and to the surface in the presence of optically thin clouds are retrieved from lidar data obtained during the summer 2011 and spring 2013 flight campaigns, respectively. For the case of intervening thin cirrus clouds with an average cloud optical depth of about 0.16 over an arid/semi-arid area, the CO2 column measurements from 12.2 km altitude were found to be consistent with the cloud free conditions with a lower precision due to the additional optical attenuation of the thin clouds. The clear sky precision for this flight campaign case was about 0.72% for a 0.1-s integration, which was close to previously reported flight campaign results. For a vegetated area and lidar path lengths of 8 to 12 km, the precision of the measured differential absorption optical depths to the surface was 1.3 - 2.2% for 0.1-s integration. The precision of the CO2 column measurements to thick clouds with reflectance about 1/10 of that of the surface was about a factor of 2 to 3 lower than that to the surface owing to weaker lidar returns from clouds and a smaller CO2 differential absorption optical depth compared to that for the entire column.
Sensors, Systems, and Next-Generation Satellites XXII | 2018
Abigail Corbett; Michael Obland; Bing Lin; Byron L. Meadows; Joel F. Campbell; Susan A. Kooi; Tai-Fang Fan; William Carrion; Jonathan Hicks; Joseph Sparrow; Edward V. Browell; Jeremy Dobler; Joshua P. DiGangi
The Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS) CarbonHawk Experiment Simulator (ACES) is a NASA Langley Research Center instrument funded by NASA’s Science Mission Directorate that seeks to advance technologies critical to measuring atmospheric column carbon dioxide (CO2) mixing ratios in support of the NASA ASCENDS mission. The ACES instrument, an Intensity-Modulated Continuous-Wave (IM-CW) lidar, was designed for high-altitude aircraft operations and can be directly applied to space instrumentation to meet the ASCENDS mission requirements. Airborne flight campaigns have been used to demonstrate ACES’ advanced technologies critical for a spaceborne instrument with lower platform consumption of size, mass, and power, and with improved performance. ACES recently flew on the NASA DC-8 aircraft during the 2017 NASA ASCENDS/Arctic-Boreal Vulnerability Experiment (ABoVE) airborne measurement campaign to test ASCENDS-related technologies in the challenging Arctic environment. Data were collected over a wide variety of surface reflectivities, terrain, and atmospheric conditions during the campaign’s eight research flights. ACES also flew during the 2017 and 2018 Atmospheric Carbon and Transport – America (ACT-America) Earth Venture Suborbital - 2 (EVS-2) campaigns along with the primary ACT-America CO2 lidar, Harris Corporation’s Multi-Frequency Fiber Laser Lidar (MFLL). Regional CO2 distributions of the lower atmosphere were observed from the C-130 aircraft during the ACT-America campaigns in support of ACT-America’s science objectives. The airborne lidars provide unique remote data that complement data from more traditional in situ sensors. This presentation shows the applications of CO2 lidars in meeting these science needs from airborne platforms and an eventual spacecraft.
EPJ Web of Conferences | 2018
Michael D. Obland; Joel F. Campbell; Susan A. Kooi; Tai-Fang Fan; William Carrion; Jonathan Hicks; Bing Lin; Amin R. Nehrir; Edward V. Browell; Byron L. Meadows; Kenneth J. Davis
Japan Geoscience Union | 2017
Tai-Fang Fan; Bing Lin; Susan A. Kooi; Joel F. Campbell; Michael D. Obland; Jeremy Dobler; Christopher O'Dell; Edward V. Browell; Kenneth J. Davis
Archive | 2015
Bing Lin; Syed Ismail; F. Wallace Harrison; Edward V. Browell; Amin R. Nehrir; Jeremy Dobler; Byron L. Meadows; Michael Obland; Susan A. Kooi; Tai-Fang Fan
Archive | 2015
Bing Lin; F. Wallace Harrison; Tai-Fang Fan
Archive | 2015
Bing Lin; Michael Obland; Amin R. Nehrir; Edward V. Browell; F. Wallace Harrison; Jeremy Dobler; Joel F. Campbell; Susan A. Kooi; Byron L. Meadows; Tai-Fang Fan; Zhaoyan Liu
Archive | 2015
Bing Lin; Edward V. Browell; Joel F. Campbell; Yonghoon Choi; Jeremy Dobler; Tai-Fang Fan; F. Wallace Harrison; Susan A. Kooi; Zhaoyan Liu; Byron L. Meadows; Amin R. Nehrir; Michael Obland; James Plant; Melissa Yang
Archive | 2015
Bing Lin; F. Wallace Harrison; Amin R. Nehrir; Edward V. Browell; Jeremy Dobler; Joel F. Campbell; Byron L. Meadows; Michael Obland; Susan A. Kooi; Tai-Fang Fan; Syed Ismail
Japan Geoscience Union | 2015
Bing Lin; F. Wallace Harrison; Amin R. Nehrir; Edward V. Browell; Jeremy Dobler; Joel F. Campbell; Byron L. Meadows; Michael Obland; Syed Ismail; Susan A. Kooi; Tai-Fang Fan