Topic: Early-warning systems clear · back to the knowledge map
Most practices in: Kenya (2) · Bangladesh (1) · Fiji (1)
Singapore's National Environment Agency runs a peer-reviewed machine-learning system that forecasts dengue cases up to three months ahead. In the 2013 outbreak …
Since 2020, Google Research's machine-learning flood model — which forecasts river levels even in ungauged basins — has combined with Bangladesh Water …
Since 2004, femLINKpacific's Women's Weather Watch connects rural Fijian women via SMS and radio to the Fiji Met Office. By 2016, it …
Researchers at the University of Sussex and Kenya's RCMRD built machine-learning models forecasting NDMA's official VCI3M drought indicator up to 6 weeks …
In October 2024, the Philippines' PAGASA and ASTI deployed Southeast Asia's first live AI weather system with US firm Atmo: forecast runtime …
FAO and Timor-Leste's government built an XGBoost-corrected seasonal drought index that triggered the country's first Anticipatory Action protocol in October 2023, matching …
Underwater sensors and AI models built by Kenya's KMFRI and Nairobi's ShoShin Innovation Hub flagged a dissolved-oxygen crash at Dunga Beach, Kisumu …
Malawi's meteorological service piloted MET Norway's 'Bris' AI weather model with WMO, cutting forecast generation from hours to ~10 minutes — but …
Mozambique's INGD and INAM are piloting machine-learning forecasts atop a multi-hazard early-warning system that helped cut Cyclone Freddy's 2023 death toll to …
Nigeria's Hydrological Services Agency says it deployed deep-learning models trained on 200+ years of flood data for its 2026 Annual Flood Outlook, …
Melbourne and Tribhuvan universities, with Nepal's disaster authority, pilot SAFE-RISCCS, AI fusing rainfall, ground-movement and satellite data to flag landslide risk weeks …
Iraq's Prime Ministerial AI Advisor announced a small-scale AI trial at the Kufa and Al-Abbasiya water regulators near Najaf to monitor water …
Open full copilot Grounded in cited practices — always check the sources.
