Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
Volume 10, issue 10
Atmos. Meas. Tech., 10, 3627–3649, 2017
https://doi.org/10.5194/amt-10-3627-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 10, 3627–3649, 2017
https://doi.org/10.5194/amt-10-3627-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 05 Oct 2017

Research article | 05 Oct 2017

Analysis and evaluation of WRF microphysical schemes for deep moist convection over south-eastern South America (SESA) using microwave satellite observations and radiative transfer simulations

Victoria Sol Galligani et al.
Related authors  
Meso-scale modelling and radiative transfer simulations of a snowfall event over France at microwaves for passive and active modes and evaluation with satellite observations
V. S. Galligani, C. Prigent, E. Defer, C. Jimenez, P. Eriksson, J.-P. Pinty, and J.-P. Chaboureau
Atmos. Meas. Tech., 8, 1605–1616, https://doi.org/10.5194/amt-8-1605-2015,https://doi.org/10.5194/amt-8-1605-2015, 2015
Related subject area  
Subject: Clouds | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Cross-comparison of cloud liquid water path derived from observations by two space-borne and one ground-based instrument in northern Europe
Vladimir S. Kostsov, Anke Kniffka, Martin Stengel, and Dmitry V. Ionov
Atmos. Meas. Tech., 12, 5927–5946, https://doi.org/10.5194/amt-12-5927-2019,https://doi.org/10.5194/amt-12-5927-2019, 2019
Short summary
The impact of neglecting ice phase on cloud optical depth retrievals from AERONET cloud mode observations
Jonathan K. P. Shonk, Jui-Yuan Christine Chiu, Alexander Marshak, David M. Giles, Chiung-Huei Huang, Gerald G. Mace, Sally Benson, Ilya Slutsker, and Brent N. Holben
Atmos. Meas. Tech., 12, 5087–5099, https://doi.org/10.5194/amt-12-5087-2019,https://doi.org/10.5194/amt-12-5087-2019, 2019
Short summary
Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks
Chaojun Shi, Yatong Zhou, Bo Qiu, Jingfei He, Mu Ding, and Shiya Wei
Atmos. Meas. Tech., 12, 4713–4724, https://doi.org/10.5194/amt-12-4713-2019,https://doi.org/10.5194/amt-12-4713-2019, 2019
Short summary
Comparison of the cloud top heights retrieved from MODIS and AHI satellite data with ground-based Ka-band radar
Juan Huo, Daren Lu, Shu Duan, Yongheng Bi, and Bo Liu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-276,https://doi.org/10.5194/amt-2019-276, 2019
Revised manuscript accepted for AMT
Short summary
Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?
Maximilian Maahn, Fabian Hoffmann, Matthew D. Shupe, Gijs de Boer, Sergey Y. Matrosov, and Edward P. Luke
Atmos. Meas. Tech., 12, 3151–3171, https://doi.org/10.5194/amt-12-3151-2019,https://doi.org/10.5194/amt-12-3151-2019, 2019
Short summary
Cited articles  
Altinger de Schwarzkopf, M. L. and Necco, G.: Climatologia de los efectos de la conveccion severa en la Republica Argentina, PhD thesis, Universidad de Buenos Aires (UBA), Facultad de Ciencias Exactas y Naturales (FyCEN), Doctor en Ciencias Meteorologicas, 1988.
Baran, A. J.: From the single-scattering properties of ice crystals to climate prediction: A way forward, Atmos. Res., 112, 45–69, 2012.
Buehler, S., Courcoux, N., and John, V.: Radiative transfer calculations for a passive microwave satellite sensor: Comparing a fast model and a line-by-line model, J. Geophys. Res.-Atmos., 111, 2156–2202, 2006.
Chaboureau, J.-P., Söhne, N., Pinty, J.-P., Meirold-Mautner, I., Defer, E., Prigent, C., Pardo, J. R., Mech, M., and Crewell, S.: A midlatitude precipitating cloud database validated with satellite observations, J. Appl. Meteorol. Clim., 47, 1337–1353, 2008.
Chen, F. and Dudhia, J.: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569–585, 2001.
Publications Copernicus
Download
Short summary
Three meteorological events with deep convection and severe weather, characteristic of the SESA region, are considered. High-resolution models, a powerful tool to study convection, can be operated with different microphysics schemes (predict the development of hydrometeors, their interactions, growth, precipitation). We present a systematic evaluation of the microphysical schemes available in the WRF model by a direct comparison between satellite-based simulated and observed microwave radiances.
Three meteorological events with deep convection and severe weather, characteristic of the SESA...
Citation