Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8491-2019
https://doi.org/10.5194/acp-19-8491-2019
Research article
 | 
04 Jul 2019
Research article |  | 04 Jul 2019

Variability of bulk water vapor content in the marine cloudy boundary layers from microwave and near-infrared imagery

Luis F. Millán, Matthew D. Lebsock, and Joao Teixeira

Related authors

Exploring ozone variability in the upper troposphere and lower stratosphere using dynamical coordinates
Luis F. Millán, Peter Hoor, Michaela I. Hegglin, Gloria L. Manney, Harald Boenisch, Paul Jeffery, Daniel Kunkel, Irina Petropavlovskikh, Hao Ye, Thierry Leblanc, and Kaley Walker
EGUsphere, https://doi.org/10.5194/egusphere-2024-144,https://doi.org/10.5194/egusphere-2024-144, 2024
Short summary
Water vapor measurements inside clouds and storms using a differential absorption radar
Luis F. Millán, Matthew D. Lebsock, Ken B. Cooper, Jose V. Siles, Robert Dengler, Raquel Rodriguez Monje, Amin Nehrir, Rory A. Barton-Grimley, James E. Collins, Claire E. Robinson, Kenneth L. Thornhill, and Holger Vömel
Atmos. Meas. Tech., 17, 539–559, https://doi.org/10.5194/amt-17-539-2024,https://doi.org/10.5194/amt-17-539-2024, 2024
Short summary
Stratospheric ozone depletion inside the volcanic plume shortly after the 2022 Hunga Tonga eruption
Yunqian Zhu, Robert W. Portmann, Douglas Kinnison, Owen Brian Toon, Luis Millán, Jun Zhang, Holger Vömel, Simone Tilmes, Charles G. Bardeen, Xinyue Wang, Stephanie Evan, William J. Randel, and Karen H. Rosenlof
Atmos. Chem. Phys., 23, 13355–13367, https://doi.org/10.5194/acp-23-13355-2023,https://doi.org/10.5194/acp-23-13355-2023, 2023
Short summary
Multi-parameter dynamical diagnostics for upper tropospheric and lower stratospheric studies
Luis F. Millán, Gloria L. Manney, Harald Boenisch, Michaela I. Hegglin, Peter Hoor, Daniel Kunkel, Thierry Leblanc, Irina Petropavlovskikh, Kaley Walker, Krzysztof Wargan, and Andreas Zahn
Atmos. Meas. Tech., 16, 2957–2988, https://doi.org/10.5194/amt-16-2957-2023,https://doi.org/10.5194/amt-16-2957-2023, 2023
Short summary
Applying machine learning to improve the near-real-time products of the Aura Microwave Limb Sounder
Frank Werner, Nathaniel J. Livesey, Luis F. Millán, William G. Read, Michael J. Schwartz, Paul A. Wagner, William H. Daffer, Alyn Lambert, Sasha N. Tolstoff, and Michelle L. Santee
Atmos. Meas. Tech., 16, 2733–2751, https://doi.org/10.5194/amt-16-2733-2023,https://doi.org/10.5194/amt-16-2733-2023, 2023
Short summary

Related subject area

Subject: Gases | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Identifying episodic carbon monoxide emission events in the MOPITT measurement dataset
Paul S. Jeffery, James R. Drummond, Jiansheng Zou, and Kaley A. Walker
Atmos. Chem. Phys., 24, 4253–4263, https://doi.org/10.5194/acp-24-4253-2024,https://doi.org/10.5194/acp-24-4253-2024, 2024
Short summary
Quantifying effects of long-range transport of NO2 over Delhi using back trajectories and satellite data
Ailish M. Graham, Richard J. Pope, Martyn P. Chipperfield, Sandip S. Dhomse, Matilda Pimlott, Wuhu Feng, Vikas Singh, Ying Chen, Oliver Wild, Ranjeet Sokhi, and Gufran Beig
Atmos. Chem. Phys., 24, 789–806, https://doi.org/10.5194/acp-24-789-2024,https://doi.org/10.5194/acp-24-789-2024, 2024
Short summary
Measurement report: Ammonia in Paris derived from ground-based open-path and satellite observations
Camille Viatte, Nadir Guendouz, Clarisse Dufaux, Arjan Hensen, Daan Swart, Martin Van Damme, Lieven Clarisse, Pierre Coheur, and Cathy Clerbaux
Atmos. Chem. Phys., 23, 15253–15267, https://doi.org/10.5194/acp-23-15253-2023,https://doi.org/10.5194/acp-23-15253-2023, 2023
Short summary
Anthropogenic CO2 emission estimates in the Tokyo metropolitan area from ground-based CO2 column observations
Hirofumi Ohyama, Matthias M. Frey, Isamu Morino, Kei Shiomi, Masahide Nishihashi, Tatsuya Miyauchi, Hiroko Yamada, Makoto Saito, Masanobu Wakasa, Thomas Blumenstock, and Frank Hase
Atmos. Chem. Phys., 23, 15097–15119, https://doi.org/10.5194/acp-23-15097-2023,https://doi.org/10.5194/acp-23-15097-2023, 2023
Short summary
Characterizing the tropospheric water vapor spatial variation and trend using 2007–2018 COSMIC radio occultation and ECMWF reanalysis data
Xi Shao, Shu-Peng Ho, Xin Jing, Xinjia Zhou, Yong Chen, Tung-Chang Liu, Bin Zhang, and Jun Dong
Atmos. Chem. Phys., 23, 14187–14218, https://doi.org/10.5194/acp-23-14187-2023,https://doi.org/10.5194/acp-23-14187-2023, 2023
Short summary

Cited articles

Ao, C. O., Waliser, D. E., Chan, S. K., Li, J.-L., Tian, B., Xie, F., and Mannucci, A. J.: Planetary boundary layer heights from GPS radio occultation refractivity and humidity profiles, J. Geophys. Res.-Atmos., 117, d16117, https://doi.org/10.1029/2012JD017598, 2012. a, b, c
Betts, A. K. and Boers, R.: A Cloudiness Transition in a Marine Boundary Layer, J. Atmos. Sci., 47, 1480, https://doi.org/10.1175/1520-0469(1990)047<1480:ACTIAM>2.0.CO;2, 1990. a
Bony, S. and Dufresne, J.-L.: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models, Geophys. Res. Lett., 32, L20806, https://doi.org/10.1029/2005gl023851, 2005. a
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, book section 7, 571–658, Cambridge University Press, Cambridge, UK and New York, NY, USA, https://doi.org/10.1017/CBO9781107415324.016, 2013. a
Chung, D., Matheou, G., and Teixeira, J.: Steady-State Large-Eddy Simulations to Study the Stratocumulus to Shallow Cumulus Cloud Transition, J. Atmos. Sci., 69, 3264–3276, https://doi.org/10.1175/jas-d-11-0256.1, 2012. a
Download
Short summary
The synergy of the collocated Advanced Microwave Scanning Radiometer (AMSR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) provides daily global estimates of marine boundary layer water vapor. AMSR provides the total column water vapor, while MODIS provides the water vapor above the cloud layers. The difference between the two gives the vapor between the surface and the cloud top, which may be interpreted as the boundary layer water vapor.
Altmetrics
Final-revised paper
Preprint