Articles | Volume 16, issue 11
https://doi.org/10.5194/acp-16-6913-2016
https://doi.org/10.5194/acp-16-6913-2016
Research article
 | 
07 Jun 2016
Research article |  | 07 Jun 2016

Diurnal variation of tropospheric relative humidity in tropical regions

Isaac Moradi, Philip Arkin, Ralph Ferraro, Patrick Eriksson, and Eric Fetzer

Related authors

An improved near-real-time precipitation retrieval for Brazil
Simon Pfreundschuh, Ingrid Ingemarsson, Patrick Eriksson, Daniel A. Vila, and Alan J. P. Calheiros
Atmos. Meas. Tech., 15, 6907–6933, https://doi.org/10.5194/amt-15-6907-2022,https://doi.org/10.5194/amt-15-6907-2022, 2022
Short summary
Ice water path retrievals from Meteosat-9 using quantile regression neural networks
Adrià Amell, Patrick Eriksson, and Simon Pfreundschuh
Atmos. Meas. Tech., 15, 5701–5717, https://doi.org/10.5194/amt-15-5701-2022,https://doi.org/10.5194/amt-15-5701-2022, 2022
Short summary
GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm
Simon Pfreundschuh, Paula J. Brown, Christian D. Kummerow, Patrick Eriksson, and Teodor Norrestad​​​​​​​
Atmos. Meas. Tech., 15, 5033–5060, https://doi.org/10.5194/amt-15-5033-2022,https://doi.org/10.5194/amt-15-5033-2022, 2022
Short summary
The SPARC Water Vapor Assessment II: assessment of satellite measurements of upper tropospheric humidity
William G. Read, Gabriele Stiller, Stefan Lossow, Michael Kiefer, Farahnaz Khosrawi, Dale Hurst, Holger Vömel, Karen Rosenlof, Bianca M. Dinelli, Piera Raspollini, Gerald E. Nedoluha, John C. Gille, Yasuko Kasai, Patrick Eriksson, Christopher E. Sioris, Kaley A. Walker, Katja Weigel, John P. Burrows, and Alexei Rozanov
Atmos. Meas. Tech., 15, 3377–3400, https://doi.org/10.5194/amt-15-3377-2022,https://doi.org/10.5194/amt-15-3377-2022, 2022
Short summary
Evaluating the consistency and continuity of pixel-scale cloud property data records from Aqua and SNPP (Suomi National Polar-orbiting Partnership)
Qing Yue, Eric J. Fetzer, Likun Wang, Brian H. Kahn, Nadia Smith, John M. Blaisdell, Kerry G. Meyer, Mathias Schreier, Bjorn Lambrigtsen, and Irina Tkatcheva
Atmos. Meas. Tech., 15, 2099–2123, https://doi.org/10.5194/amt-15-2099-2022,https://doi.org/10.5194/amt-15-2099-2022, 2022
Short summary

Related subject area

Subject: Gases | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Characterisations of Europe's integrated water vapour and assessments of atmospheric reanalyses using more than 2 decades of ground-based GPS
Peng Yuan, Roeland Van Malderen, Xungang Yin, Hannes Vogelmann, Weiping Jiang, Joseph Awange, Bernhard Heck, and Hansjörg Kutterer
Atmos. Chem. Phys., 23, 3517–3541, https://doi.org/10.5194/acp-23-3517-2023,https://doi.org/10.5194/acp-23-3517-2023, 2023
Short summary
Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations
Jing Wei, Zhanqing Li, Jun Wang, Can Li, Pawan Gupta, and Maureen Cribb
Atmos. Chem. Phys., 23, 1511–1532, https://doi.org/10.5194/acp-23-1511-2023,https://doi.org/10.5194/acp-23-1511-2023, 2023
Short summary
Identifying and accounting for the Coriolis Effect in satellite NO2 observations and emission estimates
Daniel A. Potts, Roger Timmis, Emma J. S. Ferranti, and Joshua D. Vande Hey
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-599,https://doi.org/10.5194/acp-2022-599, 2022
Revised manuscript accepted for ACP
Short summary
NH3 spatiotemporal variability over Paris, Mexico City, and Toronto, and its link to PM2.5 during pollution events
Camille Viatte, Rimal Abeed, Shoma Yamanouchi, William C. Porter, Sarah Safieddine, Martin Van Damme, Lieven Clarisse, Beatriz Herrera, Michel Grutter, Pierre-Francois Coheur, Kimberly Strong, and Cathy Clerbaux
Atmos. Chem. Phys., 22, 12907–12922, https://doi.org/10.5194/acp-22-12907-2022,https://doi.org/10.5194/acp-22-12907-2022, 2022
Short summary
Multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations of formaldehyde and nitrogen dioxide at three sites in Asia and comparison with the global chemistry transport model CHASER
Hossain Mohammed Syedul Hoque, Kengo Sudo, Hitoshi Irie, Alessandro Damiani, Manish Naja, and Al Mashroor Fatmi
Atmos. Chem. Phys., 22, 12559–12589, https://doi.org/10.5194/acp-22-12559-2022,https://doi.org/10.5194/acp-22-12559-2022, 2022
Short summary

Cited articles

Albright, M. D., Recker, E. E., Reed, R. J., and Dang, R.: The diurnal variation of deep convection and inferred precipitation in the central tropical pacific during january–february 1979, Mon. Weather Rev., 113, 1663–1680, https://doi.org/10.1175/1520-0493(1985)113<1663:TDVODC>2.0.CO;2, 1985.
Biasutti, M., Yuter, S. E., Burleyson, C. D., and Sobel, A. H.: Very high resolution rainfall patterns measured by TRMM precipitation radar: seasonal and diurnal cycles, Clim. Dynam., 39, 239–258, https://doi.org/10.1007/s00382-011-1146-6, 2011.
Buehler, S. A. and John, V. O.: A simple method to relate microwave radiances to upper tropospheric humidity, J. Geophys. Res.-Atmos., 110, D02110, https://doi.org/10.1029/2004JD005111, 2005.
Chevallier, F., Di Michele, S., and McNally, A. P.: Diverse profile datasets from the ECMWF 91-level short-range forecasts, Tech. rep., NWP SAF Satellite Application Facility for Numerical Weather Prediction, 2006.
Download
Short summary
Measurements from the SAPHIR onboard Megha-Tropiques are used to evaluate the diurnal cycle of tropospheric humidity in the tropical region. The results show a large inhomogeneity in the amplitude and peak time of tropospheric humidity. The diurnal amplitude tends to be larger over convective regions than over subsidence regions. An early morning peak time is observed over most regions but there are substantial regions where the diurnal peak occurs at the other times of day.
Altmetrics
Final-revised paper
Preprint