Role of the quasi-biennial oscillation in alleviating biases in the semi-annual oscillation

Weather and Climate Dynamics Copernicus Publications 5:4 (2024) 1489-1504

Authors:

Aleena M Jaison, Lesley Gray, Scott M Osprey, Jeff R Knight, Martin B Andrews

Abstract:

Model representations of the stratospheric semi-annual oscillation (SAO) show a common easterly bias, with a weaker westerly phase and stronger easterly phase compared to observations. Previous studies have shown that both resolved and parameterized tropical waves in the upper stratosphere are too weak. These waves propagate vertically through the underlying region dominated by the stratospheric quasi-biennial oscillation (QBO) before reaching the SAO altitudes. The influence of biases in the modelled QBO on the representation of the SAO is therefore explored. Correcting the QBO biases helps to reduce the SAO easterly bias through improved filtering of resolved and parameterized waves that contribute to improving both the westerly and the easterly phases of the SAO. The time-averaged zonal-mean zonal winds at SAO altitudes change by up to 25 % in response to the QBO bias corrections. The annual cycle in the equatorial upper stratosphere is improved as well. Most of the improvements in the SAO occur during the QBO easterly phase, coinciding with the period when the model's QBO exhibits the largest bias. Nevertheless, despite correcting for the QBO bias, there remains a substantial easterly bias in the SAO, suggesting that westerly wave forcing in the upper stratosphere and lower mesosphere is still severely under-represented.

Updraft Width Modulates Ambient Atmospheric Controls on Convective Cloud Depth

Journal of Geophysical Research: Atmospheres American Geophysical Union 129:23 (2024) e2024JD041769

Authors:

AC Varble, Z Feng, JN Marquis, Z Zhang, A Geiss, JC Hardin, E Jo

Abstract:

The depth of convective clouds affects vertical transport of atmospheric constituents, influencing downstream weather and climate. Atmospheric controls on the maximum depth reached by moist convection are investigated with radar‐tracked convective cells tagged with sounding‐derived atmospheric parameters from a field campaign in central Argentina. Regression analyses show that narrow (<12‐km diameter) and wide (>16‐km diameter) cell depths respond to disparate factors, where cell areas are defined using composite reflectivity signatures. Undiluted lifted parcel indices including convective available potential energy (CAPE) and level of neutral buoyancy (LNB) are top predictors of wide cell maximum depth while mid‐tropospheric relative humidity is the top predictor of narrow cell maximum depth. Because narrow cells are more numerous than wide cells, the overall outcome of the full cell population does not strongly correlate with CAPE and LNB conditions. Tracked cells and atmospheric conditions in a simulation with 3‐km grid spacing covering the field campaign produce similar results to those observed. Narrow cells that are relatively deep have a cooler and moister mid‐troposphere with weaker free tropospheric subsidence, while relatively deep wide cells have much warmer and moister lower tropospheric conditions. These atmospheric differences are present 1 hr before cell initiation at both a fixed observing site and variable cell initiation locations. Simulated narrow cell maximum equivalent potential temperature decreases with height at a rate similar to the ambient vertical gradient, causing these cells to fall short of their LNB and supporting the view that entrainment‐driven dilution is a dominant control on their depth.

Forecasting for energy resilience

Weather (2024)

Authors:

Matthew Wright, Chris Bell, Ben Hutchins, Mark Rodwell, Emily Wallace

Complementary approaches to characterize the jet stream dynamics in summer and link them to extreme weather in Europe

Copernicus Publications (2024)

Authors:

Hugo Banderier, Alexandre Tuel, Tim Woollings, Olivia Romppainen-Martius

Role of Ocean Memory in Subpolar North Atlantic Decadal Variability

Copernicus Publications (2024)

Authors:

Hemant Khatri, Richard Williams, Tim Woollings, Doug Smith