Variability of Water Vapor in Central Mexico from Two Remote Sensing Techniques: FTIR Spectroscopy and GPS

Total column H 2 O is measured by two remote sensing techniques at the Altzomoni Atmospheric Observatory (19°12′N, 98°65′W, 4000 m above sea level), a high-altitude, tropical background site in central Mexico. A ground-based solar absorption FTIR spectrometer that is part of the Network for Detectio...

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Bibliographic Details
Published in:Journal of atmospheric and oceanic technology 2022-08, Vol.39 (8), p.1167-1182
Main Authors: Zuber, Alain, Stremme, Wolfgang, Grutter, Michel, Adams, David K., Blumenstock, Thomas, Hase, Frank, Rivera, Claudia, Taquet, Noemie, Bezanilla, Alejandro, Castillo, Eugenia González de
Format: Article
Language:English
Subjects:
Altitude
Analytical methods
Atmospheric chemistry
Atmospheric composition
Bias
Clear sky
Climatology
Correlation
Datasets
Diurnal
Fourier transforms
FTIR spectrometers
Global positioning systems
GPS
Greenhouse gases
High altitude
High-altitude environments
Humidity
Hydrology
Indium antimonide
Infrared spectroscopy
Observatories
Positioning systems
Precipitation
Radiation
Remote sensing
Remote sensing techniques
Sea level
Seasonal variability
Seasonal variation
Seasonal variations
Sensing techniques
Sky
Spatial data
Spectroscopy
Spectrum analysis
Temperature
Water vapor
Water vapour
Weather
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Summary:Total column H 2 O is measured by two remote sensing techniques at the Altzomoni Atmospheric Observatory (19°12′N, 98°65′W, 4000 m above sea level), a high-altitude, tropical background site in central Mexico. A ground-based solar absorption FTIR spectrometer that is part of the Network for Detection of Atmospheric Composition Change (NDACC) is used to retrieve water vapor in three spectral regions (6074–6471, 2925–2941, and 1110–1253 cm −1 ) and is compared to data obtained from a global positioning system (GPS) receiver that is part of the TLALOCNet GPS-meteorological network. Strong correlations are obtained between the coincident hourly means from the three FTIR products and small relative bias and correction factors could be determined for each when compared to the more consistent GPS data. Retrievals from the 2925–2941 cm −1 spectral region have the highest correlation with GPS [coefficient of determination ( R 2 ) = 0.998, standard deviation (STD) = 0.18 cm (78.39%), mean difference = 0.04 cm (8.33%)], although the other products are also highly correlated [ R 2 ≥ 0.99, STD ≤ 0.20 cm (
ISSN:0739-0572
1520-0426
DOI:10.1175/JTECH-D-20-0192.1