Digital twin prototypes now exist for assessing and aiding disaster response to geophysical hazards, such as volcanic eruptions, tsunamis, and earthquakes. We propose a systematic assessment framework to help determine the accuracy, transparency, reproducibility, and accountability of machine learning components within these emerging prototypes…
Source: Nature Reviews Earth & Environment | Springer Nature Limited
Nature Reviews Earth & Environment | Springer Nature Limited
- Diversity, biogeography and assembly mechanisms of groundwater microbiomes
- Ethical considerations for geohazard digital twins
- The use, fate and environmental impacts of plastic films in agriculture
- Fingerprinting microbe–mineral electron transfer with differential pulse voltammetry
- Electrical signature of trans-lithospheric shear zones
- Heterotrophic respiration by soil microbes in a changing climate
- Tracing labile species in environmental systems with diffusive gradients in thin films
- The next era of remote spectral imaging of the Earth’s surface
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