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# Challenge 21 - Machine Learning to improve the CAMS global air quality forecasts
> **Stream 2** - Machine Learning for weather, climate and atmosphere applications
### Goal
Develop an ML al…
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### Kind of request
Adding new functionality to add generic network model setup method.
### Enhancement Description
For now in hydromt architecture, there is no dedicated modules for a **ne…
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**Describe the problem you would like to solve**
Many journals assign each article an article number that is used in citations and other metadata -- often instead of page numbers. This data is not ca…
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## What is the notebook about?
This notebook would be about the data exploration, tidying, and analysis of ice-cycle variables calculated from the open-sourced database, the Water Survey of Can…
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Checklist for completing the Rmd.
- [x] Pull in all of the pre-generated metrics from VAHydro into a table
- [x] Revise sqldf statement in the Rmd to display human-readable names for metric name…
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It seems indeed there are no handling of optional global attributes, as far as I can see. I suggest the following:
Have the three optional global attributes defined in the simulation config, and ad…
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# Challenge 23- Mapping Emissions of Air Pollutants
> **Stream 2** - Machine Learning for weather, climate and atmosphere applications
### Goal
Derive suitable proxies for spatial and tempora…
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* Daniele Ferdani, Emanuel Demetrescu, Marco Cavalieri, Gloriana Pace, Sara Lenzi. 2019. “3D Modelling and Visualization in Field Archaeology. From Survey To Interpretation Of The Past Using Digital T…
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**Describe the proposed enhancement**
Discusses this with @raoulcollenteur: Pastas has the Kling-Gupta Efficiency (KGE) as a goodness-of-fit metric in the stats library `pastas.stats.kge_2012()`. Thi…
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**Submitting author:** @tamnva (Van Tam Nguyen)
**Repository:** https://github.com/tamnva/R-SWAT
**Branch with paper.md** (empty if default branch): joss_manuscript
**Version:** v4.0.0
**Editor:** @d…