CICMoD - A Climate Index Collection based on Model Data
The software provides a consistent and comprehensive collection of climate indices typically used to describe Earth System dynamics and serves as a new benchmark data set. It allows users to develop new machine learning methods and to compare their results to existing methods in an objective way.
![](https://www.climate-lab-book.ac.uk/files/2022/05/fig-nearterm_all_UPDATE_2021-panela.png)
Comparing CMIP5 & observations
Software Research Software Directory
![](https://agupubs.onlinelibrary.wiley.com/cms/asset/d516b39a-5b85-4872-a822-a4d814b153ae/wrcr25729-fig-0004-m.jpg)
A Hidden Climate Indices Modeling Framework for Multivariable
![](https://i1.rgstatic.net/publication/370482849_A_climate_index_collection_based_on_model_data/links/645282385762c95ac36ea138/largepreview.png)
PDF) A climate index collection based on model data
![](https://www.redalyc.org/journal/430/43068102007/2422-2844-rfiua-100-75-gf11.jpg)
Colombian climatology in CMIP5/CMIP6 models: Persistent biases and
![](https://i1.rgstatic.net/ii/profile.image/675429560090625-1538046364092_Q64/Sebastian-Wahl-4.jpg)
CICMoD - A Climate Index Collection Benchmark (Data and Resources
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A Hidden Climate Indices Modeling Framework for Multivariable
![](https://www.researchgate.net/publication/373926281/figure/tbl1/AS:11431281182742456@1692503197966/Overview-of-sensors-in-each-sensor-node_Q320.jpg)
Pairwise correlation coefficients of all CICMoD indices derived
![](https://www.ipcc.ch/report/ar6/wg1/downloads/figures/IPCC_AR6_WGI_Figure_3_13.png)
Figure AR6 WG1 Climate Change 2021: The Physical Science Basis
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Evaluating hydro-climate extreme indices from a regional climate
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Change in Climate Indices Using Bias-Adjusted CMIP5 Models: The
![](https://www.researchgate.net/profile/Anna-Hans-2/publication/377443714/figure/fig4/AS:11431281218065618@1705488848798/Stratification-N2-at-4-m-depth-as-a-function-of-SAT-wind-speed-and-SWR-Mean-diurnal_Q320.jpg)
Martin CLAUS, Professor, PhD