A method for simple and accurate estimation of fog deposition in a mountain forest using a meteorological model

Katata, Genki; Kajino, Mizuo; Hiraki, Takatoshi; Aikawa, Masahide; Kobayashi, Takefumi; Nagai, Hiroki

doi:10.1029/2010jd015552

Cited by 36 publications

(38 citation statements)

References 59 publications

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“…onto the surface due to turbulent exchange and gravitational settling is treated using the simple fog deposition estimation (FogDES) scheme (Katata et al 2008(Katata et al , 2011. In the WRF simulation, nudging is applied at the lateral boundaries over a four grid-point transition zone while Rayleigh damping is employed in the top 5 km to the wind components and potential temperature on a time-scale of 5 s (Skamarock et al 2008).…”

Section: Model Datasets and Diagnosticsmentioning

confidence: 99%

High-resolution dynamical downscaling of re-analysis data over the Kerguelen Islands using the WRF model

Fonseca

Martín‐Torres

2018

Theor Appl Climatol

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We have used the Weather Research and Forecasting (WRF) model to simulate the climate of the Kerguelen Islands (49°S, 69°E) and investigate its inter-annual variability. Here, we have dynamically downscaled 30 years of the Climate Forecast System Reanalysis (CFSR) over these islands at 3-km horizontal resolution. The model output is found to agree well with the station and radiosonde data at the Port-aux-Français station, the only location in the islands for which observational data is available. An analysis of the seasonal mean WRF data showed a general increase in precipitation and decrease in temperature with elevation. The largest seasonal rainfall amounts occur at the highest elevations of the Cook Ice Cap in winter where the summer mean temperature is around 0°C. Five modes of variability are considered: conventional and Modoki El Niño-Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), Subtropical IOD (SIOD) and Southern Annular Mode (SAM). It is concluded that a key mechanism by which these modes impact the local climate is through interaction with the diurnal cycle in particular in the summer season when it has a larger magnitude. One of the most affected regions is the area just to the east of the Cook Ice Cap extending into the lower elevations between the Gallieni and Courbet Peninsulas. The WRF simulation shows that despite the small annual variability, the atmospheric flow in the Kerguelen Islands is rather complex which may also be the case for the other islands located in the Southern Hemisphere at similar latitudes.

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Section: Model Datasets and Diagnosticsmentioning

confidence: 99%

High-resolution dynamical downscaling of re-analysis data over the Kerguelen Islands using the WRF model

Fonseca

Martín‐Torres

2018

Theor Appl Climatol

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“…Those authors suggested that the parametrization schemes (i.e., PBL and cloud microphysics) were most likely the source of model deficiencies. Many other studies have focused on investigating low-level LWC associated with fog events (Katata et al, 2011;Rémy & Bergot, 2009). Nygaard et al (2011) studied episodes of in-cloud icing at ground level using WRF with a microphysics ensemble.…”

Section: Geophysical Research Lettersmentioning

confidence: 99%

Aircraft Icing: In‐Cloud Measurements and Sensitivity to Physical Parameterizations

Merino

García‐Ortega

Fernández‐González

et al. 2019

Geophysical Research Letters

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The prediction of supercooled cloud drops in the atmosphere is a basic tool for aviation safety, owing to their contact with and instant freezing on sensitive locations of the aircraft. One of the main disadvantages for predicting atmospheric icing conditions is the acquisition of observational data. In this study, we used in-cloud microphysics measurements taken during 10 flights of a C-212 research aircraft under winter conditions, during which we encountered 37 regions containing supercooled liquid water. To investigate the capability of the Weather Research and Forecasting model to detect regions containing supercooled cloud drops, we propose a multiphysics ensemble approach. We used four microphysics and two planetary boundary layer schemes. The Morrison parameterization yielded superior results, whereas the planetary boundary layer schemes were essential in evaluating the presence of liquid water content. The Goddard microphysics scheme best detected the presence of ice water content but tended to underestimate liquid water content.

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“…As a result, spatial patterns of fogwater deposition strongly reflected the pattern of topographic contours with some modifications being apparent because of spatial variations in wind speed. Similar results of topographic dependency in fogwater deposition can be found in studies at mountainous areas in Saudi Arabia [ Katata et al ., ] and Japan [ Katata et al ., ], where the regional meteorological models used included the FogDES scheme (sea next section).…”

Section: Implementation In Meteorological Modelsmentioning

confidence: 99%

“…This enhancement may be observed according to the recent studies of meteorological models that include a fogwater deposition parameterization. Katata et al [2011] compared throughfall-based observations and SOLVEG calculations of fogwater deposition at Mount Rokko in Japan. They showed that although the trend of observed fogwater deposition events was reproduced by SOLVEG, the cumulative amount of modeled fogwater deposition was approximately one-quarter of that from throughfall observations at the end of the simulation.…”

Section: Challenges In Implementation Of Fogwater Deposition Schemementioning

confidence: 99%

Fogwater deposition modeling for terrestrial ecosystems: A review of developments and measurements

Katata

2014

J. Geophys. Res. Atmos.

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Recent progress in modeling fogwater (and low cloud water) deposition over terrestrial ecosystems during fogwater droplet interception by vegetative surfaces is reviewed. Several types of models and parameterizations for fogwater deposition are discussed with comparing assumptions, input parameter requirements, and modeled processes. The relationships among deposition velocity of fogwater (V d ) in model results, wind speed, and plant species structures associated with literature values are gathered for model validation. Quantitative comparisons between model results and observations in forest environments revealed differences as large as 2 orders of magnitude, which are likely caused by uncertainties in measurement techniques over heterogeneous landscapes. Results from the literature review show that V d values ranged from 2.1 to 8.0 cm s À1 for short vegetation, whereas V d = 7.7-92 cm s À1 and 0-20 cm s À1 for forests measured by throughfall-based methods and the eddy covariance method, respectively. This review also discusses the current understanding of the impacts of fogwater deposition on atmosphere-land interactions and over complex terrain based on results from numerical studies. Lastly, future research priorities in innovative modeling and observational approaches for model validation are outlined.

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A method for simple and accurate estimation of fog deposition in a mountain forest using a meteorological model

Cited by 36 publications

References 59 publications

High-resolution dynamical downscaling of re-analysis data over the Kerguelen Islands using the WRF model

High-resolution dynamical downscaling of re-analysis data over the Kerguelen Islands using the WRF model

Aircraft Icing: In‐Cloud Measurements and Sensitivity to Physical Parameterizations

Fogwater deposition modeling for terrestrial ecosystems: A review of developments and measurements

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