Investigating The Projected Changes In Water Balance Components Under Climate Change Considering The Effect Of Storage Structures
Saswata Nandi, Manne Janga Reddy · 2024-05-01
This study highlights the impact of climate change on water balance in the Upper Bhima River, revealing reduced monsoon precipitation and baseflow sensitivity, with implications for agriculture, biodiversity, and water management.
Saswata Nandi, Manne Janga Reddy. 2024-05-01. Investigating The Projected Changes In Water Balance Components Under Climate Change Considering The Effect Of Storage Structures. https://iwaponline.com/jwcc/article/15/5/1981/101772/Investigating-the-projected-changes-in-water (AI & Environment Resource Hub; record paper-097; collection snapshot 2026-09-15).
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This study introduces a new foundation model based on the Prithvi-EO Vision Transformer, pre-trained on Sentinel-3 ocean color data, to enhance marine Earth observation. By fine-tuning on chlorophyll and primary production tasks, the model outperforms traditional baselines, showing that self-trained AI can extract detailed spatial patterns from limited labeled data and improve monitoring of ocean ecosystems and climate processes.
arXiv
Shared topics: Climate and greenhouse gases; Water; Biodiversity and ecosystems; Oceans and coasts
AI tools to support physical and digital technologies, enhancing monitoring, understanding, modeling, and forecasting of climate change, extreme events, and marine species management.
Aiforoceansfree
Shared topics: Climate and greenhouse gases; Water; Biodiversity and ecosystems; Oceans and coasts
This study develops a deep learning–based coral identification and tracking algorithm for autonomous underwater vehicles, enabling real-time monitoring of reef health to support climate-informed conservation efforts.
Current Science
Shared topics: Water; Biodiversity and ecosystems; Oceans and coasts; Agriculture and food
AQUA-7B is Kurma AI’s flagship 7-billion parameter large language model built exclusively for the global aquaculture industry. And it is the first large language model for the aquaculture. It is fine-tuned to deliver actionable insights for aquaculture species-specific farming, hatchery operations, water quality control, and disease management.
