Articles | Volume 15, issue 5
https://doi.org/10.5194/amt-15-1563-2022
https://doi.org/10.5194/amt-15-1563-2022
Research article
 | 
18 Mar 2022
Research article |  | 18 Mar 2022

Atmospheric precipitable water vapor and its correlation with clear-sky infrared temperature observations

Vicki Kelsey, Spencer Riley, and Kenneth Minschwaner

Related authors

A New Technique for Airborne Measurements to Quantify Methane Emissions Over a Wide Range: Implementation and Validation
Jonathan F. Dooley, Kenneth Minschwaner, Manvendra K. Dubey, Sahar H. El Abbadi, Evan D. Sherwin, Aaron G. Meyer, Emily Follansbee, and James E. Lee
EGUsphere, https://doi.org/10.5194/egusphere-2024-760,https://doi.org/10.5194/egusphere-2024-760, 2024
Short summary
Detection and classification of laminae in balloon-borne ozonesonde profiles: application to the long-term record from Boulder, Colorado
Kenneth Minschwaner, Anthony T. Giljum, Gloria L. Manney, Irina Petropavlovskikh, Bryan J. Johnson, and Allen F. Jordan
Atmos. Chem. Phys., 19, 1853–1865, https://doi.org/10.5194/acp-19-1853-2019,https://doi.org/10.5194/acp-19-1853-2019, 2019
Short summary
Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations
Guanyu Huang, Xiong Liu, Kelly Chance, Kai Yang, Pawan K. Bhartia, Zhaonan Cai, Marc Allaart, Gérard Ancellet, Bertrand Calpini, Gerrie J. R. Coetzee, Emilio Cuevas-Agulló, Manuel Cupeiro, Hugo De Backer, Manvendra K. Dubey, Henry E. Fuelberg, Masatomo Fujiwara, Sophie Godin-Beekmann, Tristan J. Hall, Bryan Johnson, Everette Joseph, Rigel Kivi, Bogumil Kois, Ninong Komala, Gert König-Langlo, Giovanni Laneve, Thierry Leblanc, Marion Marchand, Kenneth R. Minschwaner, Gary Morris, Michael J. Newchurch, Shin-Ya Ogino, Nozomu Ohkawara, Ankie J. M. Piters, Françoise Posny, Richard Querel, Rinus Scheele, Frank J. Schmidlin, Russell C. Schnell, Otto Schrems, Henry Selkirk, Masato Shiotani, Pavla Skrivánková, René Stübi, Ghassan Taha, David W. Tarasick, Anne M. Thompson, Valérie Thouret, Matthew B. Tully, Roeland Van Malderen, Holger Vömel, Peter von der Gathen, Jacquelyn C. Witte, and Margarita Yela
Atmos. Meas. Tech., 10, 2455–2475, https://doi.org/10.5194/amt-10-2455-2017,https://doi.org/10.5194/amt-10-2455-2017, 2017
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
A new dual-frequency stratospheric–tropospheric and meteor radar: system description and first results
Qingchen Xu, Iain Murray Reid, Bing Cai, Christian Adami, Zengmao Zhang, Mingliang Zhao, and Wen Li
Atmos. Meas. Tech., 17, 2957–2975, https://doi.org/10.5194/amt-17-2957-2024,https://doi.org/10.5194/amt-17-2957-2024, 2024
Short summary
The Doppler wind, temperature, and aerosol RMR lidar system at Kühlungsborn, Germany – Part 1: Technical specifications and capabilities
Michael Gerding, Robin Wing, Eframir Franco-Diaz, Gerd Baumgarten, Jens Fiedler, Torsten Köpnick, and Reik Ostermann
Atmos. Meas. Tech., 17, 2789–2809, https://doi.org/10.5194/amt-17-2789-2024,https://doi.org/10.5194/amt-17-2789-2024, 2024
Short summary
Evaluation of the effects of different lightning protection rods on the data quality of C-Band weather radars
Cornelius Hald, Maximilian Schaper, Annette Böhm, Michael Frech, Jan Petersen, Bertram Lange, and Benjamin Rohrdantz
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-45,https://doi.org/10.5194/amt-2024-45, 2024
Revised manuscript accepted for AMT
Short summary
Directly measuring the power-law exponent and kinetic energy of atmospheric turbulence using coherent Doppler wind lidar
Jinhong Xian, Chao Lu, Xiaoling Lin, Honglong Yang, Ning Zhang, and Li Zhang
Atmos. Meas. Tech., 17, 1837–1850, https://doi.org/10.5194/amt-17-1837-2024,https://doi.org/10.5194/amt-17-1837-2024, 2024
Short summary
3D wind observations with a compact mobile lidar based on tropo- and stratospheric aerosol backscatter
Thorben H. Mense, Josef Höffner, Gerd Baumgarten, Ronald Eixmann, Jan Froh, Alsu Mauer, Alexander Munk, Robin Wing, and Franz-Josef Lübken
Atmos. Meas. Tech., 17, 1665–1677, https://doi.org/10.5194/amt-17-1665-2024,https://doi.org/10.5194/amt-17-1665-2024, 2024
Short summary

Cited articles

Anderson, G. P., Clough, S. A., Kneizys, F. X., Chetwynd, J. H., and Shettle, E. P.: AFGL atmospheric constituent profiles (0–120 km), Air Force Phillips Lab., Hansom Air Force Base, Mass., Tech. rep. AFGL-TR-86-0110, https://apps.dtic.mil/sti/pdfs/ADA175173.pdf (last access: 1 March 2022), 1986. a
Berk, A., Conforti, P., Kennett, R., Perkins, T., Hawes, F., and van den Bosch, J.: MODTRAN6: a major upgrade of the MODTRAN radiative transfer code, in: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, edited by Velez-Reyes, M. and Kruse, F. A., Proc. SPIE, 9088, 113–119, https://doi.org/10.1117/12.2050433, 2014. a
Bevis, M., Businger, S., Chiswell, S., Herring, T. A., Anthes, R. A., Rocken, C., and Ware, R. H.: GPS Meteorology: Mapping Zenith Wet Delays onto Precipitable Water, J. Appl. Meteorol. Clim., 33, 379–386, https://doi.org/10.1175/1520-0450(1994)033<0379:GMMZWD>2.0.CO;2, 1994. a
Burroughs, W. J.: The Water Dimer: A Meteorologically Important Molecular Species, Weather, 34, 233–237, https://doi.org/10.1002/j.1477-8696.1979.tb05335.x, 1979. a
Chen, B., Dai, W., Liu, Z., Wu, L., Kuang, C., and Ao, M.: Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting, Atmos. Meas. Tech., 11, 5153–5166, https://doi.org/10.5194/amt-11-5153-2018, 2018. a
Download
Short summary
In the interior western USA there are distances of hundreds of kilometers between weather balloon launch sites for weather forecasting. Satellite coverage can also be sparse or with poor resolution. Using infrared thermometers, clear-sky temperatures were collected and compared with data from weather balloons. A correlation between clear-sky temperatures and precipitable water measurements from weather balloons was found. This means that citizen scientists can collect data.