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Orographic Rainfall

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lightbulbAbout this topic
Orographic rainfall is a meteorological phenomenon that occurs when moist air is lifted over a mountain range, causing it to cool and condense into precipitation. This process results in increased rainfall on the windward side of the mountains, while the leeward side often experiences drier conditions, known as a rain shadow.
lightbulbAbout this topic
Orographic rainfall is a meteorological phenomenon that occurs when moist air is lifted over a mountain range, causing it to cool and condense into precipitation. This process results in increased rainfall on the windward side of the mountains, while the leeward side often experiences drier conditions, known as a rain shadow.

Key research themes

1. What synoptic and mesoscale atmospheric conditions commonly induce heavy orographic rainfall across diverse global mountain regions?

This research area focuses on identifying and synthesizing the common atmospheric and topographic ingredients that create environments conducive to heavy orographic rainfall in varied settings such as the U.S Rockies, European Alps, East Asia, India, Taiwan, and New Zealand. Understanding these shared synoptic and mesoscale conditions is crucial for improving quantitative precipitation forecasting and flood risk mitigation in complex terrain.

by Yuh-lang Lin and 
1 more
Key finding: This paper synthesizes key synoptic and mesoscale environments that consistently facilitate heavy orographic rainfall: 1) conditionally or potentially unstable airstreams impinging on mountains, 2) very moist low-level jets... Read more
Key finding: Analyzing the 2018 Kerala floods, this study reveals the synergy of an anomalous moisture channel from the Arabian Sea, monsoon depression-associated anomalous winds, and multiscale oscillations—including quasi-biweekly and... Read more
Key finding: Utilizing 1494 long-term precipitation time series across Italy, this paper statistically characterizes extreme rainfall depth-duration-frequency (DDF) parameters and shows systematic spatial variability correlated with... Read more

2. How do microphysical properties of raindrops and radar observation methodologies affect quantitative precipitation estimation in orographic regions?

This theme centers on empirical characterization and improvement of precipitation measurement accuracy in mountainous terrain, emphasizing microphysical rain properties, disdrometer observations, and weather radar QPE algorithms. It analyses challenges introduced by dropsize distributions, vertical variability in rain microphysics, beam blockage, and complex terrain effects which impact remote sensing precipitation retrievals. Accurate characterization of these factors is essential for enhancing radar precipitation estimates and hydrological forecasting in orographically complex regions.

Key finding: Using laser optical disdrometer measurements in Cherrapunji, the study reveals orographic rainfall is characterized by a large number of small drops (LNSD), especially on the stratiform side of stratiform/convective rainfall... Read more
Key finding: This study systematically evaluates multiple radar QPE algorithms, including those using dual-polarization variables (Zh, Zdr, Kdp), in a complex orographic environment. It shows the critical impact of vertical particle size... Read more
Key finding: WRF simulations at 6.7 km resolution show that elevated freezing levels during atmospheric river (AR) events in High Mountain Asia strongly reduce frozen precipitation fractions, increasing rainfall amounts and flood risk.... Read more

3. How does advanced numerical modeling and orographic parameterization improve precipitation simulation and forecast in highly complex mountainous terrain?

This research area examines the integration of high-resolution regional climate and weather models with orographic drag parameterizations and multi-scale terrain representation to reduce precipitation simulation biases in steep mountainous regions. It emphasizes how realistic depiction of mesoscale and sub-grid scale terrain features and atmospheric flow orographic interactions improve moisture transport, convective triggering, and precipitation distributions. These advances are pivotal for accurate forecasting and climate analyses in complex topographic domains.

Key finding: This work demonstrates that high horizontal resolution (0.03°) combined with a Turbulent Orographic Form Drag (TOFD) parameterization within the WRF model significantly reduces wet biases and spatial misrepresentations of... Read more
Key finding: The study proposes an advanced hybrid regression-kriging (RK) spatial interpolation model leveraging physiographic variables and satellite-derived cloud cover frequency (CCF) data to capture nonstationary relationships... Read more

All papers in Orographic Rainfall

A high-resolution meso-7 scale indexing of the orographic precipitation over the Judean Mountains in Israel suggests a positive urban precipitation anomaly in Jerusalem. The urban rainfall enhancement for three case studies is found to be... more
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