Characterising performance of environmental models-Reference-Cited by-同舟云学术

Characterising performance of environmental models

Published:2013-02 Issue: Volume:40 Page:1-20
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Bennett Neil D.,Croke Barry F.W.,Guariso Giorgio,Guillaume Joseph H.A.,Hamilton Serena H.,Jakeman Anthony J.,Marsili-Libelli Stefano,Newham Lachlan T.H.,Norton John P.,Perrin Charles,Pierce Suzanne A.,Robson Barbara,Seppelt Ralf,Voinov Alexey A.,Fath Brian D.,Andreassian Vazken

Publisher

Elsevier BV

Subject

Ecological Modelling,Environmental Engineering,Software

Reference166 articles.

1. A new look at the statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

2. Technical assessment and evaluation of environmental models and software: letter to the Editor;Alexandrov;Environmental Modelling and Software,2011

3. Crash tests for a standardized evaluation of hydrological models;Andréassian;Hydrology and Earth System Sciences,2009

4. Evaluation of the current state of mechanistic aquatic biogeochemical modeling;Arhonditsis;Marine Ecology-Progress Series,2004

5. Nonlinear Regression Analysis and its Applications;Bates,1988

Cited by 1168 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantification of residential water-related energy needs cohesion, validation and global representation to unlock efficiency gains;Renewable and Sustainable Energy Reviews;2025-01

2. Use of a mechanistic wind damage risk model to select Eucalyptus clones resistant to stem breakage and uprooting in tropical plantations;Forest Ecology and Management;2024-10

3. Evaluating the utility of weather generators in crop simulation models for in-season yield forecasting;Agricultural Systems;2024-10

4. Forecasting monthly peak flows for the flood-prone River Jhelum in the Kashmir Valley, India;Water Practice & Technology;2024-09-04

5. Superiority of artificial neural networks over conventional hydrological models in simulating urban catchment runoff;Journal of Hydroinformatics;2024-09-02