Planetary and Gravity Waves as Drivers of Sudden Stratospheric Warmings (PEGASUS)
Lead Research Organisation:
University of Bath
Department Name: Electronic and Electrical Engineering
Abstract
Sudden stratospheric warmings (SSWs) are some of the most dramatic events in the entire atmosphere. Over just a few days, the high-altitude jet stream stops and sometimes even reverses, and polar stratospheric temperatures can shoot up as much as 50 degrees Celsius. Their effects propagate upwards, where they modulate the near-Earth space environment of the ionosphere, and downwards, where they can cause extreme winter weather in densely-populated regions such as Europe and North America.
SSWs occur on average twice every three winters, but may occur several times in one winter and then not at all for several years afterwards. Forecasting them more than a few days in advance is extremely challenging. Their effects are also very difficult to predict - while (for example) the 'Beast From The East' of February 2018 in Europe and the 'Polar Vortex Winter' of January 2014 in the eastern United States were directly attributable to SSWs which happened a few days earlier, many SSWs have occurred with almost no effect on surface weather.
In PEGASUS, we will use new satellite measurement techniques and advanced computer models to better understand the physics of how SSWs develop, and of how and why they affect both surface weather and space weather. We will (i) test a recent theory that changes our understanding of how and why SSWs happen, (ii) investigate the details of how, when and where SSWs affect surface weather and (iii) measure the effects of SSWs on the global upper atmosphere, with implications for GPS and radio communications.
(i) Traditionally, we thought that SSWs were triggered by extremely large and unusually intense 'planetary waves' travelling through the atmosphere. These large waves seriously disrupt the jet stream, making it collapse and triggering an SSW. However, recent work has shown that this conceptual model does not properly explain the observed SSW record. Instead, a new theory challenges this model at a fundamental level. This new theory is that smaller-scale 'gravity waves' over the weeks before the SSW nudge the jet stream into a less robust state, weak enough that normal winter weather can be enough to trigger the start of an SSW. The precise distribution of these gravity waves, in space, time and intensity, may also affect how severe the surface effects of the SSW are. There is thus an important need to test this new theory. PEGASUS will do so. We will use advanced new satellite methods of measuring both the large planetary waves and the much smaller gravity waves to study the development of every SSW in the last sixteen years. We will also study idealised mathematical models (i.e. models which strip away unnecessary details) to understand the underlying physics and mathematics of how SSWs evolve and develop. This will provide a robust and critical test of the new theory.
(ii) This combination of observational and theoretical insight will let us test and assess how well forty leading climate models reproduce SSWs. We will use this information to select the best such models, tested against both observations and theory from (i). We will then study these selected models in close detail to understand what features of SSWs cause them to affect the surface and the upper atmosphere, with the aim of better predicting both SSW development and surface effects in future. In particular, we will closely study the differences between the surface effects of two different types of SSW, known as 'splits' and 'displacements' based on how they affect the jet stream.
(iii) Finally, we will quantify how SSWs affect global GPS signals and radio communications, allowing us to understand not just the surface weather effects of SSWs but also their space-weather effects. This will use a chain of five state-of-the-art radars spanning from pole-to-pole, and global measurements of upper-atmospheric composition from satellite measurements.
SSWs occur on average twice every three winters, but may occur several times in one winter and then not at all for several years afterwards. Forecasting them more than a few days in advance is extremely challenging. Their effects are also very difficult to predict - while (for example) the 'Beast From The East' of February 2018 in Europe and the 'Polar Vortex Winter' of January 2014 in the eastern United States were directly attributable to SSWs which happened a few days earlier, many SSWs have occurred with almost no effect on surface weather.
In PEGASUS, we will use new satellite measurement techniques and advanced computer models to better understand the physics of how SSWs develop, and of how and why they affect both surface weather and space weather. We will (i) test a recent theory that changes our understanding of how and why SSWs happen, (ii) investigate the details of how, when and where SSWs affect surface weather and (iii) measure the effects of SSWs on the global upper atmosphere, with implications for GPS and radio communications.
(i) Traditionally, we thought that SSWs were triggered by extremely large and unusually intense 'planetary waves' travelling through the atmosphere. These large waves seriously disrupt the jet stream, making it collapse and triggering an SSW. However, recent work has shown that this conceptual model does not properly explain the observed SSW record. Instead, a new theory challenges this model at a fundamental level. This new theory is that smaller-scale 'gravity waves' over the weeks before the SSW nudge the jet stream into a less robust state, weak enough that normal winter weather can be enough to trigger the start of an SSW. The precise distribution of these gravity waves, in space, time and intensity, may also affect how severe the surface effects of the SSW are. There is thus an important need to test this new theory. PEGASUS will do so. We will use advanced new satellite methods of measuring both the large planetary waves and the much smaller gravity waves to study the development of every SSW in the last sixteen years. We will also study idealised mathematical models (i.e. models which strip away unnecessary details) to understand the underlying physics and mathematics of how SSWs evolve and develop. This will provide a robust and critical test of the new theory.
(ii) This combination of observational and theoretical insight will let us test and assess how well forty leading climate models reproduce SSWs. We will use this information to select the best such models, tested against both observations and theory from (i). We will then study these selected models in close detail to understand what features of SSWs cause them to affect the surface and the upper atmosphere, with the aim of better predicting both SSW development and surface effects in future. In particular, we will closely study the differences between the surface effects of two different types of SSW, known as 'splits' and 'displacements' based on how they affect the jet stream.
(iii) Finally, we will quantify how SSWs affect global GPS signals and radio communications, allowing us to understand not just the surface weather effects of SSWs but also their space-weather effects. This will use a chain of five state-of-the-art radars spanning from pole-to-pole, and global measurements of upper-atmospheric composition from satellite measurements.
Planned Impact
SSWs are major stratospheric weather events, which have knock-on effects throughout the atmosphere above and below them, from the Earth's surface to the edge of space.
At the surface, SSWs are an important driver of unusually extreme winter weather at surface level, especially the densely-populated regions of Europe and North America. Such weather has a major and direct impact on a vast range of industries, from logistics and transport to hospitality, oil and gas supply and public service. It also has broad implications for human health and mortality both during and after the events. PEGASUS will improve our scientific knowledge of how and why SSWs occur, facilitating advances in forecasting both when they happen and, when they do occur, how they will affect the surface.
Furthermore, a range of recent studies (e.g Sigmond et al, Nat. Geosci. 2013; Tripathi et al, Environ. Res. Lett 2015) have suggested that our limited ability to predict SSWs is a key roadblock on the path to producing meaningful weather forecasts at sub-seasonal and seasonal timescales, i.e. timescales of roughly a month or longer. Our work will directly address this block on the pathway to this highly challenging goal, with broad implications on long-term planning in industries such as farming and civil engineering.
At the surface, SSWs are an important driver of unusually extreme winter weather at surface level, especially the densely-populated regions of Europe and North America. Such weather has a major and direct impact on a vast range of industries, from logistics and transport to hospitality, oil and gas supply and public service. It also has broad implications for human health and mortality both during and after the events. PEGASUS will improve our scientific knowledge of how and why SSWs occur, facilitating advances in forecasting both when they happen and, when they do occur, how they will affect the surface.
Furthermore, a range of recent studies (e.g Sigmond et al, Nat. Geosci. 2013; Tripathi et al, Environ. Res. Lett 2015) have suggested that our limited ability to predict SSWs is a key roadblock on the path to producing meaningful weather forecasts at sub-seasonal and seasonal timescales, i.e. timescales of roughly a month or longer. Our work will directly address this block on the pathway to this highly challenging goal, with broad implications on long-term planning in industries such as farming and civil engineering.
Publications
Lawrence, Zachary D.
(2022)
Quantifying stratospheric biases and identifying their potential sources in subseasonal forecast systems
Krisch I
(2022)
On the derivation of zonal and meridional wind components from Aeolus horizontal line-of-sight wind
in Atmospheric Measurement Techniques
Lawrence, Zachary D.
(2022)
Quantifying stratospheric biases and identifying their potential sources in subseasonal forecast systems
Lawrence Z
(2022)
Quantifying stratospheric biases and identifying their potential sources in subseasonal forecast systems
in Weather and Climate Dynamics
| Description | We did not achieve the primary objectives due to major covid-related issues, but did produce a large amount of research on the fundamental geophysics underlying the central question, in particularly on a methodological level. These advances will allow us to significantly advance our understanding of atmospheric dynamics in future work. |
| Exploitation Route | Using the methods and knowledge we produced |
| Sectors | Aerospace Defence and Marine Environment |
| Description | Significant media interest in Hall et al (2021), including articles from ABC, the Daily Mail, the Express, the Independent, Metro, Newsweek, and Russia Today. Significant impact in Wright et al (2022), including articles in over 70 media sources, including CNet, Eos, The Independent, Nature, and The New York Times, and radio/TV including BBC Points West and The World Press release by European Space Agency focusing on work carried out by Wright using ESA-Aeolus data to study sudden stratospheric warmings. |
| First Year Of Impact | 2021 |
| Sector | Environment,Other |
| Impact Types | Cultural |
| Description | URF Renewal |
| Amount | £793,000 (GBP) |
| Funding ID | URF\R\221023 |
| Organisation | The Royal Society |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 09/2025 |
| Title | Pressure data used in 'Surface-to-space atmospheric waves from Hunga Tonga-Hunga Ha'apai eruption' (Wright et al., 2022) |
| Description | Pressure data used in 'Surface-to-space atmospheric waves from Hunga Tonga-Hunga Ha'apai eruption' (Wright et al., 2022). Phase speed estimates by station: Author: Fred Prata, AIRES Pty Ltd Description: distances, locations, arrival times and phase speed estimates for the Hunga Tonga Lamb wave from pressure stations used in our study. Pressure time series data (19 stations): Lauder (1 station): Author: Dan Smale/NIWA, State Highway 85, Omaku, New Zealand Description: Data sourced from a CO2 eddy-covariance instrument operated and maintained by NIWA. Values were provided as an image file of pressure anomaly versus time (NZST) which was digitized at approximately 90 s time resolution and 0.1 hPa. Mt Eliza / HRO (1 station): Author: Fred Prata/AIRES Pty Ltd, 116 Humphries Road, Mount Eliza, Vic 3930, Australia Description: Data derived from an ecowitt weather station (Easyweather-WIFIA 19E) operated and maintained by AIRES Pty Ltd. The measurements are logged every 5 minutes with a pressure resolution of 0.1 hPa. Tonga (1 station): Author: Malo e Leilei Taaniela/Fua'amotu Domestic Airport, Tonga and Shane Cronin/University of Auckland, School of Environment, New Zealand. Description: Data derived from a barometer operated by the Tongan meteorological office located at Nukualofa port (met.gov.to). Sampling interval is 1 minute and the pressure resolution is 0.1 hPa Weatherlink (3 stations): Author: Fred Prata/AIRES Pty Ltd, 116 Humphries Road, Mount Eliza, Vic 3930, Australia Description: Data downloaded from http://weatherlink.com The time resolution is 5 minutes for Davis and Boston and 15 minutes for Travis. The pressure resolution is 0.01 in Hg. PurpleAir (13 stations): Author: citizen science project - https://map.purpleair.com/ (free for non-commercial use) Description: PNG images of pressure traces from each station: American Samoa, Anchorage, Auckland, Brisbane, Colorado Springs, Concepcion, Glenn Dale, Kahuko, Manhattan Beach, Papeete, Solvang, Sydney, Tokyo. See table, described above, for latitude/longitude of each site. Other pressure data used in the paper already archived elsewhere, and associated licensing (11 stations): AIMS (10 stations): https://apps.aims.gov.au/metadata/search?term=Weather%20Stations (CC BY 3.0 AU) Wegenernet (1 station): https://wegenernet.org/portal/v7.1/2021/1 ("openly available to all and free of charge except for commercial usage") Not included (6 stations): Due to licensing terms, we do not include 6 pressure time series obtained from the Australian Bureau of Meteorology in their raw form, specifically those at Mt Isa Aero, Learmonth Airport, Broome Airport, Alice Springs Airport, Adelaide Airport and Perth Airport. Derived products made from these data are permitted to be shared, and accordingly phase speed estimates from these stations are included in the table described above. A graphical representation of the data from Broome is also included in the scientific paper these data support as Extended Data Figure 1e. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/6575809 |
| Title | Pressure data used in 'Surface-to-space atmospheric waves from Hunga Tonga-Hunga Ha'apai eruption' (Wright et al., 2022) |
| Description | Pressure data used in 'Surface-to-space atmospheric waves from Hunga Tonga-Hunga Ha'apai eruption' (Wright et al., 2022). Phase speed estimates by station: Author: Fred Prata, AIRES Pty Ltd Description: distances, locations, arrival times and phase speed estimates for the Hunga Tonga Lamb wave from pressure stations used in our study. Pressure time series data (19 stations): Lauder (1 station): Author: Dan Smale/NIWA, State Highway 85, Omaku, New Zealand Description: Data sourced from a CO2 eddy-covariance instrument operated and maintained by NIWA. Values were provided as an image file of pressure anomaly versus time (NZST) which was digitized at approximately 90 s time resolution and 0.1 hPa. Mt Eliza / HRO (1 station): Author: Fred Prata/AIRES Pty Ltd, 116 Humphries Road, Mount Eliza, Vic 3930, Australia Description: Data derived from an ecowitt weather station (Easyweather-WIFIA 19E) operated and maintained by AIRES Pty Ltd. The measurements are logged every 5 minutes with a pressure resolution of 0.1 hPa. Tonga (1 station): Author: Malo e Leilei Taaniela/Fua'amotu Domestic Airport, Tonga and Shane Cronin/University of Auckland, School of Environment, New Zealand. Description: Data derived from a barometer operated by the Tongan meteorological office located at Nukualofa port (met.gov.to). Sampling interval is 1 minute and the pressure resolution is 0.1 hPa Weatherlink (3 stations): Author: Fred Prata/AIRES Pty Ltd, 116 Humphries Road, Mount Eliza, Vic 3930, Australia Description: Data downloaded from http://weatherlink.com The time resolution is 5 minutes for Davis and Boston and 15 minutes for Travis. The pressure resolution is 0.01 in Hg. PurpleAir (13 stations): Author: citizen science project - https://map.purpleair.com/ (free for non-commercial use) Description: PNG images of pressure traces from each station: American Samoa, Anchorage, Auckland, Brisbane, Colorado Springs, Concepcion, Glenn Dale, Kahuko, Manhattan Beach, Papeete, Solvang, Sydney, Tokyo. See table, described above, for latitude/longitude of each site. Other pressure data used in the paper already archived elsewhere, and associated licensing (11 stations): AIMS (10 stations): https://apps.aims.gov.au/metadata/search?term=Weather%20Stations (CC BY 3.0 AU) Wegenernet (1 station): https://wegenernet.org/portal/v7.1/2021/1 ("openly available to all and free of charge except for commercial usage") Not included (6 stations): Due to licensing terms, we do not include 6 pressure time series obtained from the Australian Bureau of Meteorology in their raw form, specifically those at Mt Isa Aero, Learmonth Airport, Broome Airport, Alice Springs Airport, Adelaide Airport and Perth Airport. Derived products made from these data are permitted to be shared, and accordingly phase speed estimates from these stations are included in the table described above. A graphical representation of the data from Broome is also included in the scientific paper these data support as Extended Data Figure 1e. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://zenodo.org/record/6575810 |
| Description | Collaboration on spectral analysis with Joan Alexander and Laura Holt |
| Organisation | Northwest Research Associates |
| Country | United States |
| Sector | Public |
| PI Contribution | We provided the software techniques and wrote the resulting paper. |
| Collaborator Contribution | They provided the underlying concepts and an environment free of distraction to do the work. |
| Impact | New spectral analysis ("the 2D+1 S-Transform") that we have used in several studies since it provides improved vertical discrimination. |
| Start Year | 2019 |
| Description | Collaboration on sudden stratospheric warmings as driven by gravity waves with Dr Ales Kuchar, University of Leipzig |
| Organisation | University of Leipzig |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | We provided the gravity wave data for comparison. |
| Collaborator Contribution | They provided the vortex edge data for the comparison. |
| Impact | Paper in prep. |
| Start Year | 2022 |