• Corpus ID: 54001704

- 1-Innovative approach for prediction of local weather using machine learning

  title={- 1-Innovative approach for prediction of local weather using machine learning},
  author={Takao Yoshikane and Kei Yoshimura},
Innovative approach for prediction of local weather using machine learning *1 *1 Takao Yoshikane Kei Yoshimura *1 Institute of Industrial Science, The University of Tokyo Local weather forecasting is technically very difficult because the mechanisms are still unknown and there are a lot of errors with numerical model. In this study, we found some close relations between the observed precipitation and the simulated precipitation distribution patterns in a local area, and then we have applied the… 



Experiments in Short-Term Precipitation Forecasting Using Artificial Neural Networks

Abstract Accurate, timely, site-specific forecasts of precipitation are important for accurately predicting streamflow and flash floods in small drainage basins. However, presently available

Numerical Weather Prediction

An Observing System Experiment is carried out using the Met Office threedimensional variational data assimilation scheme (3D-Var) and global forecast model. The experiment investigates the impact on

A Investigation of the Sensitivity of Simulated Precipitation to Model Resolution and Its Implications for Climate Studies

Abstract This paper examines the sensitivity of a regional atmospheric model to horizontal resolution and topographic forcing. The model is run for January and July month-long simulations over the

Dynamic modeling of orographically induced precipitation

Local orography governs the triggering of cloud formation and the enhancement of processes such as condensation and hydrometeor nucleation and growth in mountainous regions. Intense, lengthy

Guidelines for Use of Climate Scenarios Developed from Statistical Downscaling Methods

Many climate impact applications require the equivalent of point climate observations and are highly sensitive to fine-scale climate variations that are parameterised in coarse-scale models. This is

Presage Biology: Lessons from nature in weather forecasting

The method used by local and indigenous peoples for predicting rainfall and other weather conditions solely on the basis of bio-indicators – the phenology of plants and behavior of animals – is

On the Pressure Gradient Force over Steep Topography in Sigma Coordinate Ocean Models

Abstract The error in computing the pressure gradient force near steep topography using terms following (σ) coordinates is investigated in an ocean model using the family of vertical differencing

Cuykendall: Rainfall forecasting in space and time using a neural network

  • Journal of hydrology 137.1-4,
  • 1992

Nowcasting . 2018