Sensitivity of boundary-layer variables to PBL schemes in the WRF model based on surface meteorological observations, lidar, and radiosondes during the HygrA-CD campaign

Autor: Stavros Solomos, Jordi Tiana-Alsina, Francesc Rocadenbosch, Robert F. Banks, Alexandros Papayannis, José María Baldasano, Chris G. Tzanis
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. GReCT - Grup de Recerca de Ciències de la Terra, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
Rok vydání: 2016
Předmět:
Atmospheric Science
Daytime
010504 meteorology & atmospheric sciences
Meteorology
Weather Research and Forecasting (WRF) model
Planetary boundary layer
Planetary boundary-layer height
Boundary layer (Meteorology)
Athens
010501 environmental sciences
Atmospheric sciences
01 natural sciences
Wind speed
Weather forecasting
law.invention
Athens
Greece
law
Capa límit (Meteorologia)
11. Sustainability
Grècia
Meteorologia
Meteorology--Research
0105 earth and related environmental sciences
Previsió del temps
Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia [Àrees temàtiques de la UPC]
Greece
PBL parameterization scheme
Backscatter lidar
Bulk Richardson number
Boundary layer
Lidar
13. Climate action
Weather Research and Forecasting Model
Radiosonde
Environmental science
Complex urban terrain
Zdroj: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
ISSN: 0169-8095
DOI: 10.1016/j.atmosres.2016.02.024
Popis: Air quality forecast systems need reliable and accurate representations of the planetary boundary layer (PBL) to perform well. An important question is how accurately numerical weather prediction models can reproduce conditions in diverse synoptic flow types. Here, observations from the summer 2014 HygrA-CD (Hygroscopic Aerosols to Cloud Droplets) experimental campaign are used to validate simulations from the Weather Research and Forecasting (WRF) model over the complex, urban terrain of the Greater Athens Area. Three typical atmospheric flow types were identified during the 39-day campaign based on 2-day backward trajectories: Continental, Etesians, and Saharan. It is shown that the numerical model simulations differ dramatically depending on the PBL scheme, atmospheric dynamics, and meteorological parameter (e.g., 2-m air temperature). Eight PBL schemes from WRF version 3.4 are tested with daily simulations on an inner domain at 1-km grid spacing. Near-surface observations of 2-m air temperature and relative humidity and 10-m wind speed are collected from multiple meteorological stations. Estimates of the PBL height come from measurements using a multiwavelength Raman lidar, with an adaptive extended Kalman filter technique. Vertical profiles of atmospheric variables are obtained from radiosonde launches, along with PBL heights calculated using bulk Richardson number. Daytime maximum PBL heights ranged from 2.57 km during Etesian flows, to as low as 0.37 km during Saharan flows. The largest differences between model and observations are found with simulated PBL height during Saharan synoptic flows. During the daytime, campaign-averaged near-surface variables show WRF tended to have a cool, moist bias with higher simulated wind speeds than the observations, especially near the coast. It is determined that non-local PBL schemes give the most agreeable solutions when compared with observations.
Databáze: OpenAIRE
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