SOURCE-LINKED INTELLIGENCE
CAIG: HYBRID ARTIFICIAL INTELLIGENCE-GEOPHYSICS MODELING FOR UNDERSTANDING CARBON-WATER ECOSYSTEM SERVICES INTERACTIONS -CARBON AND WATER CYCLING JOINTLY SUSTAIN MANY ECOSYSTEM SERVICES CRITICAL FOR THE WELLBEING OF SOCI
CAIG: HYBRID ARTIFICIAL INTELLIGENCE-GEOPHYSICS MODELING FOR UNDERSTANDING CARBON-WATER ECOSYSTEM SERVICES INTERACTIONS -CARBON AND WATER CYCLING JOINTLY SUSTAIN MANY ECOSYSTEM SERVICES CRITICAL FOR THE WELLBEING OF SOCIETY. A FUNDAMENTAL CHALLENGE IS PREDICTING HOW THESE INTERTWINED PROCESSES VARY FROM LOCAL OBSERVATIONS TO LANDSCAPE AND REGIONAL DYNAMICS. THIS CHALLENGE IS ESPECIALLY ACUTE FOR CARBON-WATER ECOSYSTEM SERVICES, WHERE TRADEOFFS AND SYNERGIES VARY ACROSS SPACE, SHIFT OVER TIME, AND RESPOND IN COMPLEX WAYS TO ENVIRONMENTAL CHANGES. BY ADDRESSING THIS CHALLENGE, THIS PROJECT IMPRO
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- recordType
- award
- region
- US
- value
- 1790271
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.