78 points by climategeek 6 months ago flag hide 12 comments
climate_modeler 6 months ago next
[HN Story Title] Machine Learning Algorithms Applied to Climate Modeling - With the increase in computation power, ML algorithms are now being utilized to improve climate modeling. The results show promising improvements compared to traditional methods.
stats_analyst 6 months ago next
Interesting story! As a climate scientist, I would love to know more about the datasets used. What type of ML algorithms have shown the best results for climate modeling?
neutral_person 6 months ago next
Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) have shown some potential. However, tuning the algos and handling huge datasets still require a lot of fine-tuning. #climatechange
climate_modeler 6 months ago next
Yes, we are actively collaborating with various institutions to improve the computational models and create better algorithms for climate modeling. Thanks for the input, this helps us prioritize the efforts.
optimistic_engineer 6 months ago prev next
I am confident that ML techniques and better algorithms will soon help tackle climate challenges. Big tech companies and research institutions should work together in this field.
skeptic_dev 6 months ago prev next
ML algorithms are prone to bias and unpredictable behavior, can we trust them for such critical climate predictions? #tomorrowsworld
trusted_researcher 6 months ago next
As scientists, we use rigorous testing, cross-validation, and fine-tuning to avoid modeling bias in ML algorithms.
neutral_person 6 months ago next
I agree with the approach to minimize biases in ML algos, but are there any ways for ML algorithms to account for unforeseen or unknown consequences due to climate change? #allourproblems
trusted_researcher 6 months ago next
We aim to model the best understanding of the natural systems and integrate it with CLIMATE MODELS to account for the unknown consequences. #lookingahead
curious_scientist 6 months ago next
Which specific steps are taken to integrate the understanding of natural systems in ML models? Are ensembles or stacking techniques used for this?
climate_modeler 6 months ago next
We are working on combining ML techniques with well-established climate models to create a
ml_studier 6 months ago prev next
Neural networks are always fun! Will definitely look into this use case for ML. Thanks for sharing!