PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 18, 2026Quarterly Journal of the Royal Meteorological Society0 citations

Suggestions for unifying the parametrizations of turbulent orographic form drag, mountain wave drag, and flow blocking

View Full Paper
FLFrançois LottABAnton BeljaarsBDBruno Deremble

Key Points

  • The aim is to unify the parametrizations of turbulent drag, gravity wave drag, and flow blocking into a single framework for numerical models.
  • Utilized a recent theoretical methodology to form a comprehensive model.
  • Estimated mountain drag across various processes analytically.
  • Evaluated the fractions of drag within the boundary layer versus that radiated into the atmosphere.
  • Combined sheltering effects with blocking effects to analyze the blocked layer depth.
  • Presented a formalism that accounts for all relevant drag processes effectively.
  • Provided insights into the dynamics of turbulent and gravity wave drag in different scenarios.
  • Estimated how drag persists within the boundary layer compared to being lost in the far field.

Abstract

Abstract Parametrizations of subgrid‐scale mountains are commonly used in numerical weather prediction and climate models. They try to represent quite separate processes; namely, the enhancement of the turbulent drag by orography, gravity‐wave drag, and the effects of low‐level flow blocking. Among the gravity wave schemes, some of them distinguish between upward‐propagating waves and trapped lee waves. This article makes use of a recent theoretical methodology to propose a formalism that includes all these effects. This theory handles enhanced turbulent drag in the neutral case, gravity waves in the stratified case, and trapped lee waves in the transition. Mountain drag associated with all these processes is estimated analytically, as well as the fraction of the drag that stays within the boundary layer instead of being radiated in the far field. Although the theory used is adapted to gentle hills with small slope, we also try to evaluate the blocked layer depth by combining the sheltering effects that dominate when stratification is small and the blocking effects when stratification is strong.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lott et al. (2026) studied this question.

synapsesocial.com/papers/69e31ff140886becb653f1d7https://doi.org/10.1002/qj.70169
Ask AI
Helpful
Bookmark
Share
View Full Paper