Marine atmospheric boundary-layer height estimated from NWP model output

Gryning, Sven Erik; Batchvarova, Ekaterina

doi:10.1504/ijep.2003.004264

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…The PBL height extracted from the High Resolution Limited Area Model (HIRLAM, http://hirlam.org/) output data has been defined as the height where the bulk Richardson number reaches a critical value, typically 0.25 (Gryning and Batchvarova 2003). Berge and Jakobsen (1998) defined the mixing height from HIRLAM output differently, as the largest value between the mechanical mixing height and the convective mixing height.…”

Section: Overview Of Pbl Height Evaluation In Mesoscale Modelsmentioning

confidence: 99%

The Growth of the Planetary Boundary Layer at a Coastal Site: a Case Study

Tomasi

Miglietta

Perrone

2011

Boundary-Layer Meteorol

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A lidar system is used to determine the diurnal evolution of the planetary boundary layer (PBL) height on a summer day characterized by anticyclonic conditions. The site is located some 15 km distant from the sea, on a peninsula in south-east Italy. Contrary to expectations, the PBL height, after an initial growth consequent to sunrise, ceases to increase about 2 h before noon and then decreases and stabilizes in the afternoon. An interpretation of such anomalous behaviour is provided in terms of trajectories of air parcels towards the lidar site, which are influenced by the sea breeze, leading to a transition from a continental boundary layer to a coastal internal boundary layer. The results are analyzed using mesoscale numerical model simulations and a simple model that allows for a more direct interpretation of experimental results.

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Section: Overview Of Pbl Height Evaluation In Mesoscale Modelsmentioning

confidence: 99%

The Growth of the Planetary Boundary Layer at a Coastal Site: a Case Study

Tomasi

Miglietta

Perrone

2011

Boundary-Layer Meteorol

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“…Linear fits yield slopes of 50.787, 51.668, 66.974 and 61.048 m 8C (1 in winter, spring, summer and autumn, respectively (all significant at the 0.05 level in the F test), which indicates that MABL height responds more strongly in the warm seasons than in the cold seasons. MABL height is defined as the height where the bulk Richardson number reaches a critical value, typically 0.25 (Gryning and Batchvarova, 2002). The bulk Richardson number is closely related to the vertical gradient of virtual potential temperature.…”

Section: Surface Wind Speed and Heat Fluxesmentioning

confidence: 99%

Seasonal variations in atmospheric responses to oceanic eddies in the Kuroshio Extension

2016

Tellus A: Dynamic Meteorology and Oceanography

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Analyses using high-resolution satellite observations reveal distinct seasonal variations in atmospheric responses to oceanic eddies in the Kuroshio Extension (KE) region, characterised by much stronger surface wind speed and heat flux responses in the cold seasons (winter and spring) than in the warm seasons (summer and autumn). Cloud liquid water and rain rate also display seasonally dependent characteristics, with more deficit (surplus) in winter than in summer over the cold (warm) oceanic eddies. CFSR (Climate Forecast System Reanalysis) data can well reproduce these seasonal variations in surface atmospheric responses to the eddies in the KE region, albeit with much weaker responses in surface wind speed and with stronger responses in latent heat flux in comparison with the results based on satellite observations. In addition, the CFSR data also reveal remarkable seasonal variations in tropospheric responses, with eddy-induced wind speed (vertical velocity) anomalies reaching as high as 900 hPa (800 hPa) in winter, while they only occur near the sea surface in summer. The Weather Research and Forecast (WRF) model is applied to study the seasonal variations in atmospheric responses to idealised oceanic eddies. The model successfully simulates the seasonal variations in atmospheric responses to an idealised warm eddy in terms of wind speed, heat flux, marine atmospheric boundary layer (MABL) height and vertical velocity in both seasons. Both the CFSR data and the model simulations indicate that the seasonal variations in atmospheric responses to oceanic eddies can be attributed to the variations in background atmospheric stability during different seasons.

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“…Zilitinkevich and Baklanov, 2002) having higher values for higher z 0 . For example, Gryning and Batchvarova (2003) find Ri Bc around 0.03 to 0.05 to perform best over sea; moreover, for the marine boundary layer Ri Bc is generally smaller than that over the land. Maryon and Best (1992) use critical gradient Richardson number ( Ri c ) from 1.3 all the way up to 7.2 (which seems very high), based on radio soundings from continental Europe at Izmir in Turkey.…”

Section: Introductionmentioning

confidence: 95%

“…Employment of flux‐gradient scheme for parameterization of turbulent fluxes yields gradient Richardson number, Ri : Substituting for the gradients in with the finite differences in the coordinate frame used leads to Note that is not commonly used in practice. Instead, the formulation proposed and applied by Mahrt (1981), Geleyn (1987), Troen and Mahrt (1986), Sørensen et al (1996), Seibert et al (2000), Gryning and Batchvarova (2002, 2003), Zilitinkevich and Baklanov (2002), etc. is the bulk Richardson number: Here θ 1 is potential temperature at the lowest model level z 1 and is the average potential temperature between levels 1 and j .…”

Section: Determination Of the Mixing Heightmentioning

confidence: 99%

The critical bulk Richardson number in urban areas: verification and application in a numerical weather prediction model

Jeričević

Grisogono²

2006

Tellus A: Dynamic Meteorology and Oceanography

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Dispersion models require hourly values of the mixing height (H) that indicates the existence and vertical extent of turbulent mixing. Urban areas, which are usually industrial areas too, have H higher than rural areas, and commonly used methods for deriving H should not be applied under the same conditions as in homogeneous conditions. The bulk Richardson number (RiB) method was applied to determine H over Zagreb, Croatia. Impact of urban areas on the choice of critical values of bulk Richardson number (RiBc) was explored, and different values were used for convective boundary layer (CBL) and for stable boundary layer (SBL). Aire Limitee Adaptation Dynamique development InterNational (ALADIN), a limited area numerical weather prediction (NWP) model for short‐range 48‐h forecasts, was used to provide one set of input parameters. Another input set comes from radio soundings. The values of H, modelled and based on compared measurements, and the correlation coefficient as well as standard deviation and bias were calculated on a large data set to determine RiBc ranges applicable in urban areas. It is shown that RiB method can be used in urban areas, and that urban RiBc should have certain limitations despite of a wide spectrum of practical values used today. Significantly increased RiBc values in SBL were determined from the NWP and soundings data, which is the consequence of increased surface roughness in the urban area. The verification of ALADIN through the determination of H was also done. Decoupling from the surface in the very SBL was detected as a consequence of the flow cease resulting in RiB becoming very large.

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Marine atmospheric boundary-layer height estimated from NWP model output

Cited by 8 publications

References 5 publications

The Growth of the Planetary Boundary Layer at a Coastal Site: a Case Study

The Growth of the Planetary Boundary Layer at a Coastal Site: a Case Study

Seasonal variations in atmospheric responses to oceanic eddies in the Kuroshio Extension

The critical bulk Richardson number in urban areas: verification and application in a numerical weather prediction model

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