paper
2022
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 daysNASA Journal
2022-02-23
043
Feb 2022
Alejandro de-Cabo-Garcia, Alfonso Delgado-Bonal, BELEN PEREZ LANCHO et al.
DYNA NEW TECHNOLOGIES
NASA
Trains a neural network on Viking and Mars Science Laboratory measurements to predict next-day Martian temperature and pressure within 0.5 to 1% accuracy.
PREDICTION OF MARS METEOROLOGICAL VARIABLES USING ARTIFICIAL NEURAL NETWORKS
In one sentence. Trains a neural network on Viking and Mars Science Laboratory measurements to predict next-day Martian temperature and pressure within 0.5 to 1% accuracy.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ, Other
- Status
- Research
- Identifiers
- DOI:10.6036/nt10369 OpenAlex:W3046926176
- Added
- 2026-10-22
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