The purpose of this paper is to demonstrate the validity of mesoscale numerical weather prediction modeling near the complex terrain at Aubrey Cliffs, Arizona, and to investigate the influence of the outer domain size employed on the computational results. Mesoscale Modeling v5 (MM5) was implemented to produce numerical wind data that was compared with experimental wind data. The results obtain...

North part of Japan is one of the heaviest snowfall regions in winter. In a certain case, wet snow accretes to civil engineering structure such as power lines. There is a demand for the prediction that when the snow accretion will occur. General weather forecast is not enough resolution and meteorological variable for estimating snow accretion. By calculating weather condition on our own accoun...

This paper will provide an overview of some projects in support of Wind Energy development involving Doppler lidar measurement of wind flow profiles. The high temporal and vertical resolution of these profiles allows the uncertainty of Numerical Weather Prediction models to be evaluated in forecasting dynamic processes and wind flow phenomena in the layer of rotor-blade operation.

A case of snow fall in the plains of the Northern Italian region Veneto is presented from a forecasters’ perspective. Contrasting forecast guidance came from the ECMWF global model and the limited area model LAMI. The former showed a marked warm-moist Sirocco flow coming from the Adriatic Sea onto the coast at all levels, the latter discerned a distinct cold air flow from the north-east along t...

Bayliss and Isaacson (1975) method of modifying any given difference scheme so as to ensure total conservation of the appropriate physical invariants is shown to be equivalent to the constraint restoration method of Miele et al. (1968, 1969) subject to the requirement of least-square change of the statevector coordinates. Both methods are applied to enforce conservation of total energy and pote...

The mesoscale numerical weather prediction model MM5, the 5 generation Pennsylvania State University/NCAR Mesoscale Model, uses a global land-use map to set the physical parameters on the surface characteristics to model the soil-atmosphere processes. These parameters are albedo, emissivity, thermal inertia, roughness length and soil moisture. A new estimation of soil parameters is done for the...

A space-based 2-micron Coherent Doppler lidar can have a significant impact on climate research and numerical weather forecasting. This paper describes the key challenges of deploying such an instrument in space, and provides a status of the technology development activities.

Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to...

Soil moisture has been shown in many studies to be an important variable in numerical weather prediction (NWP) systems [1, 2, 3]. In many regions of the world, soil moisture exerts an important control on land surface evaporation, and is thus a determining factor in the partitioning of downwelling radiative energy incident at the surface. This energy partitioning into sensible and latent heat s...

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