Loading [MathJax]/jax/output/HTML-CSS/fonts/TeX/fontdata.js
Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-7795-2024
https://doi.org/10.5194/gmd-17-7795-2024
Methods for assessment of models
 | 
06 Nov 2024
Methods for assessment of models |  | 06 Nov 2024

Assessment of object-based indices to identify convective organization

Giulio Mandorli and Claudia J. Stubenrauch

Related authors

Relationship between latent and radiative heating fields of Tropical cloud systems using synergistic satellite observations
Xiaoting Chen, Claudia J. Stubenrauch, and Giulio Mandorli
EGUsphere, https://doi.org/10.5194/egusphere-2024-3434,https://doi.org/10.5194/egusphere-2024-3434, 2024
Short summary
Convective organization and 3D structure of tropical cloud systems deduced from synergistic A-Train observations and machine learning
Claudia J. Stubenrauch, Giulio Mandorli, and Elisabeth Lemaitre
Atmos. Chem. Phys., 23, 5867–5884, https://doi.org/10.5194/acp-23-5867-2023,https://doi.org/10.5194/acp-23-5867-2023, 2023
Short summary

Related subject area

Atmospheric sciences
The MESSy DWARF (based on MESSy v2.55.2)
Astrid Kerkweg, Timo Kirfel, Duong H. Do, Sabine Griessbach, Patrick Jöckel, and Domenico Taraborrelli
Geosci. Model Dev., 18, 1265–1286, https://doi.org/10.5194/gmd-18-1265-2025,https://doi.org/10.5194/gmd-18-1265-2025, 2025
Short summary
An enhanced emission module for the PALM model system 23.10 with application for PM10 emission from urban domestic heating
Edward C. Chan, Ilona J. Jäkel, Basit Khan, Martijn Schaap, Timothy M. Butler, Renate Forkel, and Sabine Banzhaf
Geosci. Model Dev., 18, 1119–1139, https://doi.org/10.5194/gmd-18-1119-2025,https://doi.org/10.5194/gmd-18-1119-2025, 2025
Short summary
Identifying lightning processes in ERA5 soundings with deep learning
Gregor Ehrensperger, Thorsten Simon, Georg J. Mayr, and Tobias Hell
Geosci. Model Dev., 18, 1141–1153, https://doi.org/10.5194/gmd-18-1141-2025,https://doi.org/10.5194/gmd-18-1141-2025, 2025
Short summary
Sensitivity of predicted ultrafine particle size distributions in Europe to different nucleation rate parameterizations using PMCAMx-UF v2.2
David Patoulias, Kalliopi Florou, and Spyros N. Pandis
Geosci. Model Dev., 18, 1103–1118, https://doi.org/10.5194/gmd-18-1103-2025,https://doi.org/10.5194/gmd-18-1103-2025, 2025
Short summary
Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data
Tim Radke, Susanne Fuchs, Christian Wilms, Iuliia Polkova, and Marc Rautenhaus
Geosci. Model Dev., 18, 1017–1039, https://doi.org/10.5194/gmd-18-1017-2025,https://doi.org/10.5194/gmd-18-1017-2025, 2025
Short summary

Cited articles

Bao, J., Sherwood, S. C., Colin, M., and Dixit, V.: The Robust Relationship Between Extreme Precipitation and Convective Organization in Idealized Numerical Modeling Simulations, J. Adv. Model. Earth Sy., 9, 2291–2303, https://doi.org/10.1002/2017MS001125, 2017. a
Besag, J.: Discussion on Dr Ripley's Paper, J. Roy. Stat. Soc. B, 39, 192–212, https://doi.org/10.1111/j.2517-6161.1977.tb01616.x, 1977. a
Biagioli, G. and Tompkins, A. M.: Measuring Convective Organization, J. Atmos. Sci., 80, 2769–2789, https://doi.org/10.1175/JAS-D-23-0103.1, 2023. a, b, c
Bläckberg, C. P. O. and Singh, M. S.: Increased Large-Scale Convective Aggregation in CMIP5 Projections: Implications for Tropical Precipitation Extremes, Geophys. Res. Lett., 49, e2021GL097295, https://doi.org/10.1029/2021GL097295, 2022. a, b, c, d, e
Bony, S., Semie, A., Kramer, R. J., Soden, B., Tompkins, A. M., and Emanuel, K. A.: Observed Modulation of the Tropical Radiation Budget by Deep Convective Organization and Lower-Tropospheric Stability, AGU Advances, 1, e2019AV000155, https://doi.org/10.1029/2019AV000155, 2020. a, b, c, d
Download
Short summary
In recent years, several studies focused their attention on the disposition of convection. Lots...
Share