A graphical sensitivity analysis for statistical climate models: application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression models-Reference-Cited by-同舟云学术

A graphical sensitivity analysis for statistical climate models: application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression models

Published:2002 Issue:13 Volume:22 Page:1687-1708
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int. J. Climatol.

Author:

Cannon Alex J.,McKendry Ian G.

Publisher

Wiley

Subject

Atmospheric Science

Reference43 articles.

1. Relation between Eurasian Snow Cover, Snow Depth, and the Indian Summer Monsoon: An Observational Study

2. Classification, Seasonality and Persistence of Low-Frequency Atmospheric Circulation Patterns

3. Bootstrapping Confidence Intervals for Clinical Input Variable Effects in a Network Trained to Identify the Presence of Acute Myocardial Infarction

4. 1995. Neural Networks for Pattern Recognition. Oxford University Press: Oxford.

5. 1996. Out-of-bag estimation. Technical report, Statistics Department, University of California.

Cited by 46 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. What controls hydrology? An assessment across the contiguous United States through an interpretable machine learning approach;Journal of Hydrology;2024-10

2. Downscaling algorithms for CMIP6 GCM daily rainfall over India;Journal of Earth System Science;2024-05-28

3. Enhancement of Sorghum Forecasting Models Using Machine Learning in the rain-fed sector in Sudan;2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE);2023-12-30

4. Identifying the Multi-Scale Influences of Climate Factors on Runoff Changes in a Typical Karst Watershed Using Wavelet Analysis;Land;2022-08-10

5. Relationship between precipitation isotopic compositions and synoptic atmospheric circulation patterns in the lower reach of the Yangtze River;Journal of Hydrology;2022-02