Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA
Climate Science Group Lawrence Livermore National Laboratory Livermore CA USA
Frontier Science Center for Deep Ocean Multispheres and Earth System and Physical Oceanography Laboratory Ocean University of China Qingdao China, Laoshan Laboratory Qingdao China
This study examines the deep convection populations and mesoscale convective systems (MCSs) simulated in the DYAMOND (DYnamics of the atmospheric general circulation modeled on non‐hydrostatic domains) winter project. A storm tracking algorithm is applied to six DYAMOND simulations and a global high‐resolution satellite cloud and precipitation data set for comparison. The simulated frequencies of tropical deep convection and organized convective systems vary widely among models and regions, although robust MCSs are generally underestimated. The diurnal cycles of MCS initiation and mature stages are well simulated, but the amplitudes are exaggerated over land. Most models capture the observed MCS lifetime, cloud shield area, rainfall volume and movement speed. However, cloud‐top height and convective rainfall intensity are consistently overestimated, and stratiform rainfall area and amount are consistently underestimated. Possible causes for the model differences compared to observations and implications for future model developments are discussed.
Feng, Zhe, et al. "Mesoscale Convective Systems in DYAMOND Global Convection‐Permitting Simulations." Geophysical Research Letters, vol. 50, no. 4, Feb. 2023. https://doi.org/10.1029/2022GL102603
Feng, Zhe, Leung, L. Ruby, Hardin, Joseph, Terai, Christopher R., Song, Fengfei, & Caldwell, Peter (2023). Mesoscale Convective Systems in DYAMOND Global Convection‐Permitting Simulations. Geophysical Research Letters, 50(4). https://doi.org/10.1029/2022GL102603
Feng, Zhe, Leung, L. Ruby, Hardin, Joseph, et al., "Mesoscale Convective Systems in DYAMOND Global Convection‐Permitting Simulations," Geophysical Research Letters 50, no. 4 (2023), https://doi.org/10.1029/2022GL102603
@article{osti_1957693,
author = {Feng, Zhe and Leung, L. Ruby and Hardin, Joseph and Terai, Christopher R. and Song, Fengfei and Caldwell, Peter},
title = {Mesoscale Convective Systems in DYAMOND Global Convection‐Permitting Simulations},
annote = {Abstract This study examines the deep convection populations and mesoscale convective systems (MCSs) simulated in the DYAMOND (DYnamics of the atmospheric general circulation modeled on non‐hydrostatic domains) winter project. A storm tracking algorithm is applied to six DYAMOND simulations and a global high‐resolution satellite cloud and precipitation data set for comparison. The simulated frequencies of tropical deep convection and organized convective systems vary widely among models and regions, although robust MCSs are generally underestimated. The diurnal cycles of MCS initiation and mature stages are well simulated, but the amplitudes are exaggerated over land. Most models capture the observed MCS lifetime, cloud shield area, rainfall volume and movement speed. However, cloud‐top height and convective rainfall intensity are consistently overestimated, and stratiform rainfall area and amount are consistently underestimated. Possible causes for the model differences compared to observations and implications for future model developments are discussed.},
doi = {10.1029/2022GL102603},
url = {https://www.osti.gov/biblio/1957693},
journal = {Geophysical Research Letters},
issn = {ISSN 0094-8276},
number = {4},
volume = {50},
place = {United States},
publisher = {American Geophysical Union (AGU)},
year = {2023},
month = {02}}
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
European Union’s Horizon 2020; USDOE; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231; AC05-76RL01830; AC52-07NA27344
OSTI ID:
1957693
Alternate ID(s):
OSTI ID: 2007601 OSTI ID: 1957695 OSTI ID: 1957969
Report Number(s):
LLNL--JRNL-855117; PNNL-SA-181747; e2022GL102603
Journal Information:
Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 4 Vol. 50; ISSN 0094-8276
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 379, Issue 2195https://doi.org/10.1098/rsta.2019.0546