Simulation of United States Mesoscale Convective Systems using GFDL’s New High-Resolution General Circulation Model

Accurate representation of mesoscale scale convective systems (MCSs) in climate models is of vital importance to understanding global energy, water cycles, and extreme weather. In this study, we evaluate the simulated MCS features over the United States from the newly developed GFDL global high-reso...

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Vydáno v:Journal of climate Ročník 36; číslo 19; s. 6967 - 6990
Hlavní autoři: Dong, Wenhao, Zhao, Ming, Ming, Yi, Krasting, John P., Ramaswamy, V.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Boston American Meteorological Society 01.10.2023
Témata:
Bias
Circulation
Circulation patterns
Climate models
Datasets
Diurnal cycle
Diurnal variations
Extreme weather
Floods
General circulation models
High resolution
Hydrologic cycle
Hydrological cycle
Mesoscale convective systems
Mesoscale phenomena
Precipitation
Rain
Seasonal distribution
Seasonal variations
Seasonality
Simulation
Spatial distribution
Spring
Spring (season)
Spring precipitation
Summer
Summer circulation
Rocky Mountains
United States > US
North America
ISSN:0894-8755, 1520-0442
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Popis
Shrnutí:Accurate representation of mesoscale scale convective systems (MCSs) in climate models is of vital importance to understanding global energy, water cycles, and extreme weather. In this study, we evaluate the simulated MCS features over the United States from the newly developed GFDL global high-resolution (∼50 km) AM4 model by comparing them with the observations during spring to early summer (April–June) and late summer (July–August). The results show that the spatial distribution and seasonality of occurrence and genesis frequency of MCSs are reasonably simulated over the central United States in both seasons. The model reliably reproduces the observed features of MCS duration, translation speed, and size over the central United States, as well as the favorable large-scale circulation pattern associated with MCS development over the central United States during spring and early summer. However, the model misrepresents the amplitude and the phase of the diurnal cycle of MCSs during both seasons. In addition, the spatial distribution of occurrence and genesis frequency of MCSs over the eastern United States is substantially overestimated, with larger biases in early spring and summer. Furthermore, while large-scale circulation patterns are reasonably simulated in spring and early summer, they are misrepresented in the model during summer. Finally, we examine MCS-related precipitation, finding that the model overestimates MCS-related precipitation during spring and early summer, but this bias is insufficient to explain the significant dry bias observed in total precipitation over the central United States. Nonetheless, the dry biases in MCS-associated precipitation during late summer likely contribute to the overall precipitation deficit in the model.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0894-8755
1520-0442
DOI:10.1175/JCLI-D-22-0529.1