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Environmental Controls on Tropical Sea Breeze Convection and Resulting Aerosol Redistribution

TLDR
In this article, an ensemble of 130 idealized cloud-resolving simulations by simultaneously perturbing six atmospheric and four surface parameters describing the initial conditions was used to identify the key parameters impacting the inland characteristics and the intensity of the sea breeze convection in a tropical rainforest.
Abstract
Sea breeze fronts propagate inland from the coastline, driving convective initiation and aerosol redistribution. Forecasting sea breezes is challenging due to uncertainties in the initial conditions, as well as the covariance and interaction of various meteorological and surface parameters. Using the Regional Atmospheric Modeling System coupled to an interactive land‐surface model, we conduct an ensemble of 130 idealized cloud‐resolving simulations by simultaneously perturbing six atmospheric and four surface parameters describing the initial conditions. To identify the key parameters impacting the inland characteristics and the intensity of the sea breeze convection in a tropical rainforest, we apply statistical emulation and variance‐based sensitivity analysis techniques. This study extends a previous study which explored the impacts of various parameters on sea breeze characteristics in arid environments devoid of moist convection. Wind speed is identified as the main contributor to the inland extent, similar to the arid environment study. However, the relative impacts of surface properties on the inland extent are less significant in the moist environment where land‐surface heating can be suppressed via moist convective processes and vegetation‐atmosphere interactions. Two sea breeze‐initiated convection regimes are also identified: shallow and deep. Over the shallow regime, where convective available potential energy is limited, the inversion layer strength is the primary control of the convective intensity. Over the deep regime, boundary layer temperature exerts a robust control over the convective available potential energy and hence the convective intensity. The potential vertical redistribution of aerosols is closely related to the convective intensity.

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A Linear Relationship between Vertical Velocity and Condensation Processes in Deep Convection

TL;DR: In this paper , a functional form of the relationship between vertical velocity and microphysical processes that convert water vapor into condensed water (M) in deep convection is investigated, with the slope of the linear fit being primarily a function of temperature and secondary to supersaturation.
Journal ArticleDOI

Weakening of tropical sea breeze convective systems through interactions of aerosol, radiation, and soil moisture

TL;DR: In this paper , the authors investigated how the enhanced loading of microphysically and radiatively active aerosol particles impacts tropical sea breeze convective systems and whether these impacts are modulated by the many environments that support these cloud systems.

Investigation of a sea breeze front in an urban environment

TL;DR: In this paper, the U.S. Navy's Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS®) was used to simulate a sea breeze front interacting with the heavily urbanized New York City area.

Linking Synoptic Patterns to Cloud Properties and Local Circulations Over Southeastern Texas

TL;DR: In this paper , a self-organizing map (SOM) was applied to 10 years of 700hPa geopotential height anomalies from reanalysis data to distinguish three dominant synoptic regimes, with a continuum of transitional states between those.
Journal ArticleDOI

The spatiotemporal characteristics of near-surface water vapor in a coastal region revealed from radar-derived refractivity

TL;DR: In this paper, a novel application of the refractivity fields was presented by examining the spatiotemporal characteristics of moisture variability in a summertime coastal region in Taiwan over four weeks.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI

Daily High-Resolution-Blended Analyses for Sea Surface Temperature

TL;DR: In this paper, two new high-resolution sea surface temperature (SST) analysis products have been developed using optimum interpolation (OI), which have a spatial grid resolution of 0.25° and a temporal resolution of 1 day.
Journal ArticleDOI

Exploratory designs for computational experiments

TL;DR: In this paper, the authors examined some maximin distance designs constructed within the class of Latin hypercube arrangements, and presented a simulated annealing search algorithm for constructing these designs, and patterns apparent in the optimal designs are discussed.
Journal ArticleDOI

RAMS 2001: Current status and future directions

TL;DR: An overview of the Regional Atmospheric Modeling System (RAMS) is presented in this paper, where the authors focus on new developments in the RAMS physics and computational algorithms since 1992 and summarize some of the recent applications of RAMS that includes synoptic-scale weather systems and climate studies, to small-scale research using RAMS configured as a large eddy simulation model or to even flow around urban buildings.
Journal ArticleDOI

Bayesian analysis of computer code outputs: A tutorial

TL;DR: This tutorial is to introduce the more general reader to the Bayesian approach to quantifying, analysing and reducing uncertainty in the application of complex process models.
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