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: 3.668 IF 3.668
  • IF 5-year value: 3.707 IF 5-year
    3.707
  • CiteScore value: 6.3 CiteScore
    6.3
  • SNIP value: 1.383 SNIP 1.383
  • IPP value: 3.75 IPP 3.75
  • SJR value: 1.525 SJR 1.525
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 77 Scimago H
    index 77
  • h5-index value: 49 h5-index 49
AMT | Articles | Volume 12, issue 2
Atmos. Meas. Tech., 12, 777–790, 2019
https://doi.org/10.5194/amt-12-777-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 777–790, 2019
https://doi.org/10.5194/amt-12-777-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Feb 2019

Research article | 04 Feb 2019

Retrieval of convective available potential energy from INSAT-3D measurements: comparison with radiosonde data and their spatial–temporal variations

Uriya Veerendra Murali Krishna et al.

Related authors

Statistical characteristics of raindrop size distribution over Western Ghats of India: wet versus dry spells of Indian Summer Monsoon
Uriya Veerendra Murali Krishna, Subrata Kumar Das, Ezhilarasi Govindaraj Sulochana, Bhowmik Utsav, Sachin Madhukar Deshpande, and Govindan Pandithurai
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-832,https://doi.org/10.5194/acp-2019-832, 2019
Preprint under review for ACP

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Evaluation of the 15-year ROM SAF monthly mean GPS radio occultation climate data record
Hans Gleisner, Kent B. Lauritsen, Johannes K. Nielsen, and Stig Syndergaard
Atmos. Meas. Tech., 13, 3081–3098, https://doi.org/10.5194/amt-13-3081-2020,https://doi.org/10.5194/amt-13-3081-2020, 2020
Short summary
Consistency and structural uncertainty of multi-mission GPS radio occultation records
Andrea K. Steiner, Florian Ladstädter, Chi O. Ao, Hans Gleisner, Shu-Peng Ho, Doug Hunt, Torsten Schmidt, Ulrich Foelsche, Gottfried Kirchengast, Ying-Hwa Kuo, Kent B. Lauritsen, Anthony J. Mannucci, Johannes K. Nielsen, William Schreiner, Marc Schwärz, Sergey Sokolovskiy, Stig Syndergaard, and Jens Wickert
Atmos. Meas. Tech., 13, 2547–2575, https://doi.org/10.5194/amt-13-2547-2020,https://doi.org/10.5194/amt-13-2547-2020, 2020
Short summary
First validation of Aeolus wind observations by airborne Doppler wind lidar measurements
Benjamin Witschas, Christian Lemmerz, Alexander Geiß, Oliver Lux, Uwe Marksteiner, Stephan Rahm, Oliver Reitebuch, and Fabian Weiler
Atmos. Meas. Tech., 13, 2381–2396, https://doi.org/10.5194/amt-13-2381-2020,https://doi.org/10.5194/amt-13-2381-2020, 2020
Short summary
Intercomparison of wind observations from the European Space Agency's Aeolus satellite mission and the ALADIN Airborne Demonstrator
Oliver Lux, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Benjamin Witschas, Stephan Rahm, Alexander Geiß, and Oliver Reitebuch
Atmos. Meas. Tech., 13, 2075–2097, https://doi.org/10.5194/amt-13-2075-2020,https://doi.org/10.5194/amt-13-2075-2020, 2020
Short summary
Calibration and validation of the Polarimetric Radio Occultation and Heavy Precipitation experiment aboard the PAZ satellite
Ramon Padullés, Chi O. Ao, F. Joseph Turk, Manuel de la Torre Juárez, Byron Iijima, Kuo Nung Wang, and Estel Cardellach
Atmos. Meas. Tech., 13, 1299–1313, https://doi.org/10.5194/amt-13-1299-2020,https://doi.org/10.5194/amt-13-1299-2020, 2020
Short summary

Cited articles

Arakawa, A. and Schubert, W. H.: Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I, J. Atmos. Sci., 31, 674–701, https://doi.org/10.1175/1520-0469(1974)031<0674:IOACCE>2.0.CO;2, 1974. 
Bevington, P. R. and Robinson, D. K.: Data reduction and Error Analysis for the Physical Sciences. McGraw-Hill, New York, 1992. 
Brooks, H. E.: Severe thunderstorms and climate change, Atmos. Res., 123, 129–138, https://doi.org/10.1016/j.atmosres.2012.04.002, 2013. 
Das, S. K., Konwar, M., Chakravarty, K., and Deshpande, S. M.: Raindrop size distribution of different cloud types over the Western Ghats using simultaneous measurements from Micro-Rain Radar and disdrometer, Atmos. Res., 186, 72–82, https://doi.org/10.1016/j.atmosres.2016.11.003, 2017. 
de Coning, E., Koenig, M., and Olivier, J.: The combined instability index: A new very-short range convection forecasting technique for southern Africa, Meteorol. Appl., 18, 421–439, https://doi.org/10.1002/met.234, 2011. 
Publications Copernicus
Download
Short summary
Convective available potential energy (CAPE) is an indicator of the occurrence of extreme weather. For the first time over India, this study estimated CAPE from high spatial–temporal resolution measurements of the geostationary satellite, INSAT-3D. INSAT-3D estimates that CAPE reasonably represents the radiosonde CAPE. This study allows the atmospheric science community to select the best available dataset for their use in nowcasting and making severe weather warnings based on numerical models.
Convective available potential energy (CAPE) is an indicator of the occurrence of extreme...
Citation