Results 71 to 80 of about 3,649,707 (385)

Artificial Intelligence Revolutionises Weather Forecast, Climate Monitoring and Decadal Prediction

open access: yesRemote Sensing, 2021
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]

open access: yesGeoscientific Model Development, 2015
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

Offline Diagnostics of Skin Sea Surface Temperature from a Prognostic Scheme and Its Application in Typhoon Forecasting Using the CMA-TRAMS Model over South China

open access: yesAtmosphere, 2022
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]

open access: yes, 2017
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]

open access: yesPLoS ONE, 2020
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

open access: yes, 2015
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 with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion

open access: yesComplex, 2021
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]

open access: yesGeoscientific Model Development, 2014
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

open access: yesPopulation Ecology, EarlyView.
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

Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean

open access: yesApplied Computational Intelligence and Soft Computing, 2018
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

Home - About - Disclaimer - Privacy