edu.ucar.opensky::articles:43572 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:50:50.457439 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d78w3jqr Mesoscale Convective Systems Tracking Method Intercomparison (MCSMIP): Application to DYAMOND global km‐scale simulations 2025-04-28T00:00:00Z publication https://n2t.net/ark:/85065/d78w3jqr https://doi.org/10.1029/2024JD042204 Feng, Z. author Prein, Andreas author Kukulies, Julia author Fiolleau, T. author W. K. Jones author Maybee, B. author Moon, Zachary author Núñez Ocasio, Kelly M. author Dong, Wenhao author Molina, Maria author Albright, M. author Rajagopal, M. author Robledo, V. author Song, J. author Song, F. author Leung, L. R. author Varble, A. C. author Klein, C. author Roca, R. author Feng, R. author Mejia, J. F. author UCAR/NCAR - Library publisher Global kilometer&#8208;scale models represent the future of Earth system modeling, enabling explicit simulation of organized convective storms and their associated extreme weather. Here, we comprehensively evaluate tropical mesoscale convective system (MCS) characteristics in the DYAMOND (DYnamics of the atmospheric general circulation modeled on non&#8208;hydrostatic domains) simulations for both summer and winter phases. Using 10 different feature trackers applied to simulations and satellite observations, we assess MCS frequency, precipitation, and other key characteristics. Substantial differences (a factor of 2&#8211;3) arise among trackers in observed MCS frequency and their precipitation contribution, but model&#8208;observation differences in MCS statistics are more consistent across trackers. DYAMOND models are generally skillful in simulating tropical mean MCS frequency, with multi&#8208;model mean biases ranging from &#8722;2%&#8211;8% over land and &#8722;8%&#8211;8% over ocean (summer vs. winter). However, most DYAMOND models underestimate MCS precipitation amount (23%) and their contribution to total precipitation (17%). Biases in precipitation contributions are generally smaller over land (13%) than over ocean (21%), with moderate inter&#8208;model variability. While models better simulate MCS diurnal cycles and cloud shield characteristics, they overestimate MCS precipitation intensity and underestimate stratiform rain contributions (up to a factor of 2), particularly over land, albeit observational uncertainties exist. Additionally, models exhibit a wide range of precipitable water in the tropics compared to reanalysis and satellite observations, with many models showing exaggerated sensitivity of MCS precipitation intensity to precipitable water. The MCS metrics developed here provide process&#8208;oriented diagnostics to guide future model development. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation