Results 71 to 80 of about 3,649,707 (385)
Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction
Artificial Intelligence (AI) is an explosively growing field of computer technology, which is expected to transform many aspects of our society in a profound way.
S. Dewitte+3 more
semanticscholar +1 more source
A high-order conservative collocation scheme and its application to global shallow-water equations [PDF]
In this paper, an efficient and conservative collocation method is proposed and used to develop a global shallow-water model. Being a nodal type high-order scheme, the present method solves the pointwise values of dependent variables as the unknowns ...
C. Chen, X. Li, X. Shen, F. Xiao
doaj +1 more source
In the Tropical Regional Atmospherical Model System of South China of the China Meteorological Administration (CMA-TRAMS), the skin sea surface temperature (Ts) remains fixed during the forecast time.
Yanxia Zhang+3 more
doaj +1 more source
Estimating 1min rain rate distributions from numerical weather prediction [PDF]
Internationally recognized prognostic models of rain fade on terrestrial and Earth-space EHF links rely fundamentally on distributions of one-minute rain rates. Currently, in Rec. ITU-R P.837-6, these distributions are generated using the Salonen Poiares-
Paulson, Kevin S.
core +1 more source
Crop yield prediction integrating genotype and weather variables using deep learning [PDF]
Accurate prediction of crop yield supported by scientific and domain-relevant insights, is useful to improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop production ...
Johnathon Shook+5 more
semanticscholar +1 more source
Improvements of the shock arrival times at the Earth model STOA
Prediction of the shocks' arrival times (SATs) at the Earth is very important for space weather forecast. There is a well-known SAT model, STOA, which is widely used in the space weather forecast.
Liu, H. -L., Qin, G.
core +1 more source
Short-term traffic flow prediction is an effective means for intelligent transportation system (ITS) to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making ...
Yue Hou, Zhiyuan Deng, Hanke Cui
semanticscholar +1 more source
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature [PDF]
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be
T. Chai, R. R. Draxler
doaj +1 more source
The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
The versatility of the neural network (NN) technique allows it to be successfully applied in many fields of science and to a great variety of problems.
Vladimir Krasnopolsky+3 more
doaj +1 more source