2021
DOI: 10.1029/2020jd034501
|View full text |Cite
|
Sign up to set email alerts
|

What Controls the Probability Distribution of Local Wave Activity in the Midlatitudes?

Abstract: Local wave activity (LWA) measures meandering of the jet stream, large values often linked to disruptions of the jet and extreme weather.• Observed probability distribution of LWA is positively skewed due to nonlinearity in the zonal advection (LWA-zonal wind interaction). 10• Frequency of large LWA events increases with a slower jet and stronger eddy forc-11 ing but it is insensitive to meridional temperature gradient.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 42 publications
0
3
0
Order By: Relevance
“…(Only for Figure 2b we use hourly data.) The diagnostic framework follows the prescription of HN16 and HN17 (see also N. Nakamura & Huang, 2018; Valva & Nakamura, 2021, and Supporting Information of the present article). To quantify the jet stream's meander and identify blocks we use LWA, which measures the meridional displacement of quasigeostrophic potential vorticity (QGPV), q , from a zonally symmetric reference state A(λ,ϕ,z,t)=acos0.25emϕ0normalΔϕqe()λ,ϕ+ϕ,z,tcos()ϕ+ϕdϕ, $A(\lambda ,\phi ,z,t)=-\frac{a}{\mathrm{cos}\,\phi }{\int }_{0}^{{\Delta}\phi }{q}_{e}\left(\lambda ,\phi +{\phi }^{\prime },z,t\right)\mathrm{cos}\left(\phi +{\phi }^{\prime }\right)d{\phi }^{\prime },$ where ( λ , ϕ , z , t ) specifies longitude, latitude, pressure pseudoheight and time, a is planetary radius and q e is the QGPV field relative to its reference state value at ϕ qe()λ,ϕ+ϕ,z,t=q()λ,ϕ+ϕ,z,tqREF(ϕ,z,t). ${q}_{e}\left(\lambda ,\phi +{\phi }^{\prime },z,t\right)=q\left(\lambda ,\phi +{\phi }^{\prime },z,t\right)-{q}_{\text{REF}}(\phi ,z,t).$ …”
Section: Data and The Wave Activity Diagnostic Formalismmentioning
confidence: 99%
See 1 more Smart Citation
“…(Only for Figure 2b we use hourly data.) The diagnostic framework follows the prescription of HN16 and HN17 (see also N. Nakamura & Huang, 2018; Valva & Nakamura, 2021, and Supporting Information of the present article). To quantify the jet stream's meander and identify blocks we use LWA, which measures the meridional displacement of quasigeostrophic potential vorticity (QGPV), q , from a zonally symmetric reference state A(λ,ϕ,z,t)=acos0.25emϕ0normalΔϕqe()λ,ϕ+ϕ,z,tcos()ϕ+ϕdϕ, $A(\lambda ,\phi ,z,t)=-\frac{a}{\mathrm{cos}\,\phi }{\int }_{0}^{{\Delta}\phi }{q}_{e}\left(\lambda ,\phi +{\phi }^{\prime },z,t\right)\mathrm{cos}\left(\phi +{\phi }^{\prime }\right)d{\phi }^{\prime },$ where ( λ , ϕ , z , t ) specifies longitude, latitude, pressure pseudoheight and time, a is planetary radius and q e is the QGPV field relative to its reference state value at ϕ qe()λ,ϕ+ϕ,z,t=q()λ,ϕ+ϕ,z,tqREF(ϕ,z,t). ${q}_{e}\left(\lambda ,\phi +{\phi }^{\prime },z,t\right)=q\left(\lambda ,\phi +{\phi }^{\prime },z,t\right)-{q}_{\text{REF}}(\phi ,z,t).$ …”
Section: Data and The Wave Activity Diagnostic Formalismmentioning
confidence: 99%
“…(Only for Figure 2b we use hourly data.) The diagnostic framework follows the prescription of HN16 and HN17 (see also N. Nakamura & Huang, 2018;Valva & Nakamura, 2021, and Supporting Information of the present article). To quantify the jet stream's meander and identify blocks we use LWA, which measures the meridional displacement of quasigeostrophic potential vorticity (QGPV), q, from a zonally symmetric reference state…”
Section: Data and The Wave Activity Diagnostic Formalismmentioning
confidence: 99%
“…Interestingly, the LWA bias estimated from the tracer model tends to be more zonally extended while the LWA bias in large ensembles is more regional. This is likely because the passive tracer, unlike PV, does not feedback on advecting winds or transient eddies (e.g., storm tracks) and thus induces a dynamical inconsistency in eddy‐mean flow interactions and jet meandering (Haynes et al., 2007; Valva & Nakamura, 2021).…”
Section: Resultsmentioning
confidence: 99%