Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
Linear Approximation in Time Domain
Ampere-Maxwell's Law: Problem-Solving
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
Linear Approximation in Frequency Domain
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Mohamed Aziz Bhouri1, Pierre Gentine1
1Department of Earth and Environmental Engineering, Columbia University, New York, New York 10027, USA.
新的基于记忆的神经网络通过更好地代表小规模过程来改善天气和气候模型. 这种方法提高了预测准确性和稳定性,克服了当前机器学习参数化的局限性.
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