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prithvi.wxc.2300m.v1 has been pretrained with a 50% masking ratio. The time delta between input timestamps is variable as is the forecast lead time.
During pretraining, the input delta was chosen from [-3, -6, -9, -12] hours while the forecast lead time was chosen from [0, 6, 12, 24] hours. We recommend using
prithvi.wxc.2300m.v1 for generic use cases that do not focus on forecasting.prithvi.wxc.rollout.2300m.v1 has been through further training cycles to be optimzed for autoregressive rollout. Here, we restricted the input delta
as well as the lead time to 6 hours. We recommend using prithvi.wxc.rollout.2300m.v1 for forecasting applications.
@misc{schmude2024prithviwxcfoundationmodel,
title={Prithvi WxC: Foundation Model for Weather and Climate},
author={Johannes Schmude and Sujit Roy and Will Trojak and Johannes Jakubik and Daniel Salles Civitarese and Shraddha Singh and Julian Kuehnert and Kumar Ankur and Aman Gupta and Christopher E Phillips and Romeo Kienzler and Daniela Szwarcman and Vishal Gaur and Rajat Shinde and Rohit Lal and Arlindo Da Silva and Jorge Luis Guevara Diaz and Anne Jones and Simon Pfreundschuh and Amy Lin and Aditi Sheshadri and Udaysankar Nair and Valentine Anantharaj and Hendrik Hamann and Campbell Watson and Manil Maskey and Tsengdar J Lee and Juan Bernabe Moreno and Rahul Ramachandran},
year={2024},
eprint={2409.13598},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2409.13598},
}