Abstract

The understanding of the atmospheric processes in coastal areas requires the availability of quality datasets describing the vertical and horizontal spatial structure of the Atmospheric Boundary Layer (ABL) on either side of the coastline. High-resolution Numerical Weather Prediction (NWP) models can provide this information and the main ingredients for good simulations are: an accurate description of the coastline and a correct subgrid process parametrization permitting coastline discontinuities to be caught. To provide an as comprehensive as possible dataset on Mediterranean coastal area, an intensive experimental campaign was realized at a near-shore Italian site, using optical and acoustic ground-based remote sensing and surface instruments, under different weather characteristic and stability conditions; the campaign is also fully simulated by a NWP model. Integrating information from instruments responding to different atmospheric properties allowed for an explanation of the development of various patterns in the vertical structure of the atmosphere. Wind LiDAR measurements provided information of the internal boundary layer from the value of maximum height reached by the wind profile; a height between 80 and 130 m is often detected as an interface between two different layers. The NWP model was able to simulate the vertical wind profiles and the eight of the ABL.

Highlights

  • The coastal discontinuity, in terms of the thermal and mechanical characteristics of the surface, results in the adjustment of the air masses adapting to the new surface during both onshore and offshore.The modeling of the adjustment of the flow is a challenging issue because it requires high resolution numerical simulations which, in turn, need complete datasets spanning from the surface to the top of the Atmospheric Boundary Layer (ABL) to validate the results

  • To provide an as comprehensive as possible dataset on Mediterranean coastal area, an intensive experimental campaign was realized at a near-shore Italian site, using optical and acoustic ground-based remote sensing and surface instruments, under different weather characteristic and stability conditions; the campaign is fully simulated by a Numerical Weather Prediction (NWP) model

  • Wind Light Detection and Ranging (LiDAR) measurements provided information of the internal boundary layer from the value of maximum height reached by the wind profile; a height between 80 and 130 m is often detected as an interface between two different layers

Read more

Summary

Introduction

The coastal discontinuity, in terms of the thermal and mechanical characteristics of the surface, results in the adjustment of the air masses adapting to the new surface during both onshore and offshore. The modeling of the adjustment of the flow is a challenging issue because it requires high resolution numerical simulations which, in turn, need complete datasets spanning from the surface to the top of the Atmospheric Boundary Layer (ABL) to validate the results. This is crucial for understanding coastal atmospheric processes. The campaign was organized investigate development ofof the the vertical structure of the coastal different investigate thethedevelopment vertical structure of flow the under coastal flow meteorological under different situations; we present a study of the development of the coastal flow, integrating surface mean and meteorological situations; we present a study of the development of the coastal flow, integrating turbulent data and datasets from ground-based remote sensing instrument.

The experimental sitesite and regionininthe the central
Site and
The Wind LiDAR
The SODAR
The Surface Meteorological Measurements
The CEILOMETER
WRF Modeling Approach
The IBM Method and Stability Classes
Weather Conditions during the Intensive Campaign
Results
5–6 August
Hourly Wind Evolution during Synoptic Flow and Breeze Regime
Comparison between LiDAR and WRF Model
Boundary
Comparison of the HBL from Observations and from WRF
Distribution of Aerosol Concentration and Data Reliability from Wind LiDAR
Ensemble of synoptic
3.10. SODAR Analysis
10. Wind direction measured with
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call