Revisiting gradient wind balance in tropical cyclones using dropsonde observations

Quarterly Journal of the Royal Meteorological Society Wiley 147:735 (2020) 801-824

Authors:

Jorge Garcia-Franco, Juliane Schwendike

Abstract:

This study diagnoses the degree of gradient wind balance (GWB) in dropsonde observations of 30 tropical cyclones (TCs) divided into 91 intense observation periods. The diagnosed GWB in these observation periods are composited to investigate which characteristics of a TC are significantly related to departures from GWB. This analysis confirms that on average the flow above the boundary layer is approximately in GWB. Supergradient flow is more common near the radius of maximum wind (RMW) in the upper boundary layer than above in the free troposphere or outside the RMW and is also more common in strong storms than in weak storms. In contrast, the degree of GWB does not differ between intensifying, steady‐state and weakening storms. Storms with a peaked wind profile have a higher probability of showing supergradient winds than those with a flat wind profile. The comparison of two commonly used functions to fit observations shows that the diagnosing GWB from dropsonde observations is highly dependent on the analysis technique. The agradient wind magnitude and even sign is shown to depend on which of these functions is used to fit the observations. The use of a polynomial fit consistently diagnoses the presence of supergradient winds far more frequently than a piece‐wise function, and also shows a marked degree of imbalance above the boundary layer. Therefore, caution is warranted when determining the degree of GWB with a polynomial fit.

Autonomous balloons take flight with artificial intelligence

Nature Springer Science and Business Media LLC 588:7836 (2020) 33-34

Wintertime Southern Hemisphere jet streams shaped by interaction of transient eddies with Antarctic orography

Journal of Climate Wiley 33:24 (2020) 10505-10522

Authors:

Matthew Patterson, Tim Woollings, Tom Bracegirdle, Neil Lewis

Abstract:

The wintertime Southern Hemisphere extratropical circulation exhibits considerable zonal asymmetries. We investigate the roles of various surface boundary conditions in shaping the mean state using a semi-realistic, atmosphere-only climate model. We find, in agreement with previous literature, that tropical sea surface temperature (SST) patterns are an important contributor to the mean state, while midlatitude SSTs and sea ice extent play a smaller role. Our main finding is that Antarctic orography has a first-order effect on the structure of the midlatitude circulation. In the absence of Antarctic orography, equatorward eddy momentum fluxes associated with the orography are removed and hence convergence of eddy momentum in midlatitudes is reduced. This weakens the Indian Ocean jet, making Rossby wave propagation downstream to the South Pacific less favorable. Consequently, the flow stagnates over the mid- to high-latitude South Pacific and the characteristic split jet pattern is destroyed. Removing Antarctic orography also results in a substantial warming over East Antarctica partly because transient eddies are able to penetrate farther poleward, enhancing poleward heat transport. However, experiments in which a high-latitude cooling is applied indicate that these temperature changes are not the primary driver of circulation changes in the midlatitudes. Instead, we invoke a simple barotropic mechanism in which the orographic slope creates an effective potential vorticity gradient that alters the eddy momentum flux.

Tracing North Atlantic Oscillation Forecast Errors to Stratospheric Origins

Journal of Climate American Meteorological Society 33:21 (2020) 9145-9157

Authors:

Erik W Kolstad, C Ole Wulff, Daniela IV Domeisen, Tim Woollings

Prediction of the quasi‐biennial oscillation with a multi‐model ensemble of QBO‐resolving models

Quarterly Journal of the Royal Meteorological Society Wiley 148:744A (2020) 1519-1540

Authors:

Timothy N Stockdale, Young‐Ha Kim, James A Anstey, Froila M Palmeiro, Neal Butchart, Adam A Scaife, Martin Andrews, Andrew C Bushell, Mikhail Dobrynin, Javier Garcia‐Serrano, Kevin Hamilton, Yoshio Kawatani, Francois Lott, Charles McLandress, Hiroaki Naoe, Scott Osprey, Holger Pohlmann, John Scinocca, Shingo Watanabe, Kohei Yoshida, Seiji Yukimoto

Abstract:

A multi‐model study is carried out to investigate the ability of models to predict the evolution of the quasi‐biennial oscillation (QBO) up to 12 months in advance. All models are initialised from common reanalysis data, and forecasts run for a common set of 30 start dates over 15 years. All models have high skill in predicting the phase evolution of the QBO at 20–30 hPa, with slightly more variable results at higher and lower levels. Other aspects of the predicted QBO are of variable quality, and in some cases are consistently poor. QBO easterlies are too weak in all models at 20–50 hPa, while westerlies can be either too strong or too weak. This results in both a reduced amplitude of the QBO and a westerly bias in zonal‐mean winds, notably at 30 hPa. At 70 hPa models tend to have reduced QBO amplitude and an easterly bias. Despite these failings, a multi‐model ensemble of bias‐ and variance‐corrected forecasts can be used to give accurate and reliable QBO forecasts up to at least a year ahead. Analysis of the zonal momentum budget during the first month of the forecast shows that large‐scale forcing from Eliassen–Palm flux divergence and vertical advection are handled fairly well by the models, although vertical advection terms tend to be weaker than reanalysis estimates. Total tendencies show common errors, suggesting common failings in gravity‐wave drag treatments. Teleconnections from the QBO to Northern Hemisphere winter circulation are also examined, and do not appear to be realistic beyond the first month. Analysis of initialised forecasts is a powerful tool for diagnosing the accuracy of model processes driving the QBO.