This study employs a pseudo–global warming approach to investigate precipitation changes from a mesoscale convective system (MCS) on 14 May 2018 over the eastern United States. An Appalachian-Mountain-crossing MCS is simulated for historical, mid-twenty-first century (2045–54), and late-twenty-first century (2090–99) climate scenarios. For experiments using ensemble-mean perturbations in atmospheric, soil, and oceanic variables derived from 34 general circulation models, MCS precipitation diminishes by 25%in the midcentury and 65%in the late century. Experiments testing the sensitivity to these variables separately reveal that atmospheric variables primarily drive precipitation changes. Additional sensitivity experiments quantify MCS responses to temperature, moisture, and wind perturbations separately, with the magnitude of perturbations stratified as low, moderate, or high. Experiments highlight the dominant though contrasting roles of the thermodynamic variables. In midcentury, temperature increases lead to reductions in rainfall rates by up to 74.3%, while increased moisture raises rainfall rates by 75.1%. In the late century, the MCS fails to initiate for temperature perturbations of all magnitudes. Rainfall rate and precipitation area substantially increase with larger moisture perturbations, while the frequency of heavy (95th percentile) and extreme (99th percentile) precipitation increases more than 100%, with minimal changes in precipitation rate. Finally, ensemble-mean perturbations are added to all variables, except for temperature or moisture, to which either a low or high perturbation is added. MCSs are robust when low-temperature or high-moisture perturbations are included, though they fail to initiate for low-moisture and high-temperature perturbations, highlighting the challenges in projecting future MCS behavior.
more »
« less
The ratio of mesoscale convective system precipitation to total precipitation increases in future climate change scenarios
Abstract Mesoscale convective systems (MCSs) are a substantial source of precipitation in the eastern U.S. and may be sensitive to regional climatic change. We use a suite of convection-permitting climate simulations to examine possible changes in MCS precipitation. Specifically, annual and regional totals of MCS and non-MCS precipitation generated during a retrospective simulation are compared to end-of-21st-century simulations based on intermediate and extreme climate change scenarios. Both scenarios produce more MCS precipitation and less non-MCS precipitation, thus significantly increasing the proportion of precipitation associated with MCSs across the U.S.
more »
« less
- Award ID(s):
- 1637225
- PAR ID:
- 10465307
- Publisher / Repository:
- Nature Publishing Group
- Date Published:
- Journal Name:
- npj Climate and Atmospheric Science
- Volume:
- 6
- Issue:
- 1
- ISSN:
- 2397-3722
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Abstract Recent research suggests atmospheric cloud radiative effect (ACRE) acts as an important feedback mechanism for enhancing the development of convective self‐aggregation in idealized numerical simulations. Here, we seek observational relationships between longwave (LW) ACRE and the spatial organization of mesoscale convective systems (MCSs) in the tropics. Three convective organization metrics that are positively correlated with the area of MCS, that is, convective organization potential, the area fraction of precipitating MCS, and the precipitation fraction of MCS, are used to indicate the degree of convective organization. Our results show that the contrast in the LW ACRE inside and outside an MCS is consistent across different MCS precipitation intensities throughout the life cycle of an MCS, typically 90–100 W/m2, and provides important positive feedback to the circulation of the given MCS. However, the LW ACRE inside and outside an MCS as well as their difference are not strongly related to the degree of organization, suggesting that the LW cloud radiative feedback may be supportive of MCS formation and maintenance without necessarily being a dominant factor for spatial organization of MCSs. The domain average vertical velocity does tend to be related to the measures of convective organization, suggesting that factors that favor large‐scale low‐level convergence may exert a leading effect in creating an environment favorable for mesoscale organization of deep convection.more » « less
-
Abstract The processes that control the isotopic composition of precipitation in the midlatitudes are complicated, but can provide valuable insights into precipitation‐generating processes and are critical for interpreting stable isotope‐based paleoclimate records. In this study, we investigated the controls on changes in the isotopic composition of rainwater in central Texas using a combination of existing monthly stable isotope data from the global network of isotopes in precipitation and 20 months of event‐based rainwater collection from Austin, TX. We find that the strongest control on the isotopic composition of precipitation is the varying proportion of convective and stratiform rainfall, with other factors such as precipitation amount, temperature, and storm track playing a secondary role. Isotopic values are generally lower in the cold season than the warm season precipitation because cold season precipitation is predominantly stratiform often associated with a northerly storm track. However, the majority of the precipitation in the south‐central United States occurs during the warm season in association with mesoscale convective systems (MCSs) that are fed with moisture by the southerly winds. MCSs are characterized by a combination of a leading edge of organized deep convection and trailing stratiform precipitation. Stronger MCSs tend to contain higher proportions of stratiform rainfall and, as a result, have more isotopically depleted values. Therefore, changes in the stable isotopic composition of rainfall may be interpreted as reflecting changes in the intensity of MCS.more » « less
-
Abstract Identifying regions that mediate regional propagation of atmospheric perturbations is important to assessing the susceptibility and resilience of complex hydroclimate systems. Detecting the regional gateways through causal inference, can help unravel the interplay of physical processes and inform projections of future changes. In this study, we characterize the causal interactions among nine climate regions in the contiguous United States using long‐term (1901–2018) precipitation data. The constructed causal networks reveal the cross‐regional propagation of precipitation perturbations. Results show that the Ohio Valley region acts as an atmospheric gateway for precipitation and moisture transport in the U.S., which is largely regulated by the regional convective uplift. The findings have implications for improving predicative capacity of hydroclimate modeling of regional precipitation.more » « less
-
Abstract Observations and cloud‐resolving simulations suggest that a convective updraft structure drawing mass from a deep lower‐tropospheric layer occurs over a wide range of conditions. This occurs for both mesoscale convective systems (MCSs) and less‐organized convection, raising the question: is there a simple, universal characteristic governing the deep inflow? Here, we argue that nonlocal dynamics of the response to buoyancy are key. For precipitating deep‐convective features including horizontal scales comparable to a substantial fraction of the troposphere depth, the response to buoyancy tends to yield deep inflow into the updraft mass flux. Precipitation features in this range of scales are found to dominate contributions to observed convective precipitation for both MCS and less‐organized convection. The importance of such nonlocal dynamics implies thinking beyond parcel models with small‐scale turbulence for representation of convection in climate models. Solutions here lend support to investment in parameterizations at a complexity between conventional and superparameterization.more » « less
An official website of the United States government
