Alphabet's DeepMind claims that its short-term, AI-powered weather forecasting model is more accurate than competing methods.
Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand scientific challenge. Recently, machine learning-based weather forecasting models outperform the most successful numerical weather predictions generated by the Eur
These findings demonstrate the effectiveness of deep learning models in estimating PBLH, enhancing our understanding of boundary layer dynamics with implications for enhancing the representation of PBL in weather forecasting and climate modeling.Tianning Su...
Kwon JO, Lee SG (2002) Real-time micro-weather factors of growing field to the epidemics of rice blast. Res Plant Dis 8:199–206 (in Korean, English abstract) Article Google Scholar Li YB, Wu CJ, Jiang GH, Wang LQ, He YQ (2007) Dynamic analyses of rice blast resistance for the ...
The dependency of the operational costs on both the grid configuration as well as the weather and load forecasts adds an inherent difficulty to tackling the simultaneous optimization of Capital Expenditure (CAPEX) and Operational Expenditure (OPEX). To address this complexity, a bi-level optimization...
The first step estimates characteristics of roadway travel conditions such as vehicle volume and travel speeds on a road segment within a time interval. These features are input to a traffic emissions model. Two methods are commonly used to estimate these values: travel demand modeling (e.g., ...
mean square error methodsremote sensingsea levelweather forecastingThe Fifth Generation Mesoscale Model (MM5) is used to study the effect of assimilated satellite and conventional data on the prediction of three monsoon depressions over India using analysis nudging. The satellite data comprised the ...
WeatherUtilitiesSoftwarePlanningForecastingThe short-term water demand forecast modeling techniques were presented. A variety of forecast modeling techniques for use in short-term water demand forecasting included conventional techniques such as regression and time series analysis, artificial intelligence (AI) ...
Australian banks are in a strong position to weather the crisis at this point because they have the capital and liquidity to sustain a protracted period of economic instability. 4.2.7. New Zealand In the context of New Zealand bonds market, the movement of the green bond is significantly ...
Heating degree-days (HDD) is a unit to measure the duration of cold weather during a 24-h period. Accurate HDD forecasting is crucial in terms of determining the energy needed for the heating of buildings. This work aims to introduce a model for one month-ahead fore...