Implementation of a Turn-Key Raman Lidar for Profiling Atmospheric Water Vapor and Aerosols at the US Southern Great Plains Climate Study Site

1997 ◽  
pp. 337-340
Author(s):  
J. E. M. Goldsmith ◽  
Forest H. Blair ◽  
Scott E. Bisson
Keyword(s):  
Water Vapor ◽  
Great Plains ◽  
Atmospheric Water Vapor ◽  
Raman Lidar ◽  
Atmospheric Water ◽  
Southern Great Plains ◽  
The Us ◽  
Climate Study

scholarly journals Remote Sensing of Atmospheric Water Vapor Using the Moderate Resolution Imaging Spectroradiometer

2005 ◽  
Vol 22 (3) ◽  
pp. 309-314 ◽  
Author(s):  
P. Albert ◽  
R. Bennartz ◽  
R. Preusker ◽  
R. Leinweber ◽  
J. Fischer
Keyword(s):  
Water Vapor ◽  
Great Plains ◽  
Atmospheric Water Vapor ◽  
Atmospheric Water ◽  
Southern Great Plains ◽  
Moderate Resolution ◽  
Atmospheric Radiation Measurement ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Land Surfaces

Abstract This paper presents first validation results for an algorithm developed for the retrieval of integrated columnar water vapor from measurements of the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on board the polar-orbiting Terra and Aqua platforms. The algorithm is based on the absorption of reflected solar radiation by atmospheric water vapor and allows the retrieval of integrated water vapor above cloud-free land surfaces. A comparison of the retrieved water vapor with measurements of the Microwave Water Radiometer at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site for a 10-month period in 2002 showed an rms deviation of 1.7 kg m−2 and a bias of 0.6 kg m−2. A comparison with radio soundings in central Europe from July 2002 to April 2003 showed an rms deviation of 2 kg m−2 and a bias of −0.8 kg m−2.

scholarly journals Raman lidar profiling of water vapor and aerosols over the Southern Great Plains

2001 ◽  
Author(s):  
Richard Ferrare ◽  
David D. Turner ◽  
Lorraine A. Heilman
Keyword(s):  
Water Vapor ◽  
Great Plains ◽  
Raman Lidar ◽  
Southern Great Plains

Detection and Analysis of All-Day Atmospheric Water Vapor Raman Lidar Based on Wavelet Denoising Algorithm

2018 ◽  
Vol 38 (2) ◽  
pp. 0201001 ◽  
Author(s):  
王玉峰 Wang Yufeng ◽  
曹小明 Cao Xiaoming ◽  
张晶 Zhang Jing ◽  
汤柳 Tang Liu ◽  
宋跃辉 Song Yuehui ◽  
...  
Keyword(s):  
Water Vapor ◽  
Wavelet Denoising ◽  
Atmospheric Water Vapor ◽  
Raman Lidar ◽  
Atmospheric Water

Simultaneous Measurements of Atmospheric Water Vapor with MIR, Raman Lidar, and Rawinsondes

1995 ◽  
Vol 34 (7) ◽  
pp. 1595-1607 ◽  
Author(s):  
J. R. Wang ◽  
S. H. Melfi ◽  
P. Racette ◽  
D. N. Whitemen ◽  
L. A. Chang ◽  
...  
Keyword(s):  
Water Vapor ◽  
Atmospheric Water Vapor ◽  
Raman Lidar ◽  
Atmospheric Water ◽  
Millimeter Wave Imaging ◽  
Brightness Temperatures ◽  
Simultaneous Measurements ◽  
Wave Imaging ◽  
Low Sensitivity ◽  
Measured Water

Abstract Simultaneous measurements of atmospheric water vapor were made by the Millimeter-wave Imaging Radiometer (MIR), Raman lidar, and rawinsondes. Two types of rawinsonde sensor packages (AIR and Vaisala) were carried by the same balloon. The measured water vapor profiles from Raman lidar, and the Vaisala and AIR sondes were used in the radiative transfer calculations. The calculated brightness temperatures were compared with those measured from the MIR at all six frequencies (89, 150, 183.3 ± 1, 183.3 ±3, 183.3 ±7, and 220 GHz). The results show that the MIR-measured brightness temperatures agree well (within ±K) with those calculated from the Raman lidar and Vaisala measurements. The brightness temperatures calculated from the AIR sondes differ from the MIR measurements by as much as 10 K, which can be attributed to low sensitivity of the AIR sondes at relative humidity less than 20%. Both calculated and the MIR-measured brightness temperatures were also used to retrieve water vapor profiles. These retrieved profiles were compared with those measured by the Raman lidar and rawinsondes. The results of these comparisons suggest that the MIR can measure the brightness of a target to an accuracy of at most ±K and is capable of retrieving useful water vapor profiles.

Airborne DIAL and ground-based Raman lidar measurements of water vapor over the Southern Great Plains

2003 ◽  
Author(s):  
Richard A. Ferrare ◽  
Edward V. Browell ◽  
Syed Ismail ◽  
Susan Kooi ◽  
Vince G. Brackett ◽  
...  
Keyword(s):  
Water Vapor ◽  
Great Plains ◽  
Raman Lidar ◽  
Southern Great Plains ◽  
Lidar Measurements

Observations of atmospheric water vapor, aerosol, and cloud with a Raman lidar

2014 ◽  
Vol 53 (11) ◽  
pp. 114105 ◽  
Author(s):  
Wang Yufeng ◽  
Gao Fei ◽  
Zhu Chengxuan ◽  
Yan Qing ◽  
Hua Dengxin
Keyword(s):  
Water Vapor ◽  
Atmospheric Water Vapor ◽  
Raman Lidar ◽  
Atmospheric Water

Optimization of band-pass filtering parameters of a Raman lidar detecting atmospheric water vapor

2012 ◽  
Vol 14 (3) ◽  
pp. 035503
Author(s):  
Kai-Fa Cao ◽  
Shun-Xing Hu ◽  
Ying-jian Wang
Keyword(s):  
Water Vapor ◽  
Atmospheric Water Vapor ◽  
Raman Lidar ◽  
Atmospheric Water ◽  
Band Pass
Sign in / Sign up

Export Citation Format

Share Document