Abstract
-State-of-the-art digital replicas of the Earth system, such as the Digital Twin Earth (DTE) for hydrology, simulate Earth processes to accurately monitor and predict various phenomena, such as extreme climate occurrences.
-The soil-plant-atmosphere interaction influences the fluxes of heat, water and carbon and understanding these processes allows for a more accurate prediction of ecosystem response to climate and environmental pressures.
-Developing a digital twin of the soil-plant-atmosphere continuum (SPAC) augmented with Earth Observation (SPACEO) will allow seamless integration of functional (cellular functioning at timescales of seconds) and spatiotemporal processes into regional weather and climate modeling systems, enhancing the accuracy of climate predictions and resource management.
-The soil-plant-atmosphere interaction influences the fluxes of heat, water and carbon and understanding these processes allows for a more accurate prediction of ecosystem response to climate and environmental pressures.
-Developing a digital twin of the soil-plant-atmosphere continuum (SPAC) augmented with Earth Observation (SPACEO) will allow seamless integration of functional (cellular functioning at timescales of seconds) and spatiotemporal processes into regional weather and climate modeling systems, enhancing the accuracy of climate predictions and resource management.
Original language | English |
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Journal | Frontiers in Science |
Volume | 2 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- ITC-GOLD
- ITC-ISI-JOURNAL-ARTICLE