scholarly journals Evaluation of AIRS Precipitable Water Vapor against Ground-based GPS Measurements over the Tibetan Plateau and Its Surroundings

2012 ◽  
Vol 90C (0) ◽  
pp. 87-98 ◽  
Author(s):  
Jun QIN ◽  
Kun YANG ◽  
Toshio KOIKE ◽  
Hui LU ◽  
Yaoming MA ◽  
...  
Keyword(s):  
Water Vapor ◽  
Tibetan Plateau ◽  
Precipitable Water ◽  
Precipitable Water Vapor ◽  
The Tibetan Plateau ◽  
Gps Measurements

scholarly journals Evaluation of Precipitable Water Vapor from Four Satellite Products and Four Reanalysis Datasets against GPS Measurements on the Southern Tibetan Plateau

2017 ◽  
Vol 30 (15) ◽  
pp. 5699-5713 ◽  
Author(s):  
Yan Wang ◽  
Kun Yang ◽  
Zhengyang Pan ◽  
Jun Qin ◽  
Deliang Chen ◽  
...  
Keyword(s):  
Water Vapor ◽  
Tibetan Plateau ◽  
Near Infrared ◽  
Precipitable Water ◽  
Precipitable Water Vapor ◽  
The Tibetan Plateau ◽  
Gps Measurements ◽  
Infrared Measurements ◽  
Southern Tibetan Plateau ◽  
Level 2

The southern Tibetan Plateau (STP) is the region in which water vapor passes from South Asia into the Tibetan Plateau (TP). The accuracy of precipitable water vapor (PWV) modeling for this region depends strongly on the quality of the available estimates of water vapor advection and the parameterization of land evaporation models. While climate simulation is frequently improved by assimilating relevant satellite and reanalysis products, this requires an understanding of the accuracy of these products. In this study, PWV data from MODIS infrared and near-infrared measurements, AIRS Level-2 and Level-3, MERRA, ERA-Interim, JRA-55, and NCEP final reanalysis (NCEP-Final) are evaluated against ground-based GPS measurements at nine stations over the STP, which covers the summer monsoon season from 2007 to 2013. The MODIS infrared product is shown to underestimate water vapor levels by more than 20% (1.84 mm), while the MODIS near-infrared product overestimates them by over 40% (3.52 mm). The AIRS PWV product appears to be most useful for constructing high-resolution and high-quality PWV datasets over the TP; particularly the AIRS Level-2 product has a relatively low bias (0.48 mm) and RMSE (1.83 mm) and correlates strongly with the GPS measurements ( R = 0.90). The four reanalysis datasets exhibit similar performance in terms of their correlation coefficients ( R = 0.87–0.90), bias (0.72–1.49 mm), and RMSE (2.19–2.35 mm). The key finding is that all the reanalyses have positive biases along the PWV seasonal cycle, which is linked to the well-known wet bias over the TP of current climate models.

An Empirical Model for Estimating Precipitable Water Vapor on the Tibetan Plateau

2019 ◽  
Vol 131 (1006) ◽  
pp. 125001 ◽  
Author(s):  
Xuan Qian ◽  
Yongqiang Yao ◽  
Lei Zou ◽  
Hongshuai Wang ◽  
Jia Yin
Keyword(s):  
Water Vapor ◽  
Tibetan Plateau ◽  
Empirical Model ◽  
Precipitable Water ◽  
Precipitable Water Vapor ◽  
The Tibetan Plateau
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