Advancing scientific understanding of climate, improving society’s ability to plan and respond
Advancing scientific understanding of climate, improving society’s ability to plan and respond
Deep learning models provide the most accurate 6-month lead-time forecasts for different types of El Niño Southern Oscillation, significantly advancing prediction capabilities.
Enhancing ENSO forecasting: the superior performance of machine learning models Read More »
Mixing of dry air from above keeps warm, moist air near the Earth’s surface, making moist heatwaves an increasingly serious risk to human health as the climate warms.
Discovering a hidden driver of extreme moist heatwaves Read More »
The extended nonlinear recharge oscillator (XRO) model integrates core ENSO dynamics with other climate modes to offer improved ENSO forecasts up to 18 months in advance.
New model enhances El Niño–Southern Oscillation (ENSO) forecasting Read More »
A new study projects that under the highest-emission scenario, 62 percent of the world’s land area could face more frequent and severe multi-year droughts, highlighting urgent challenges for global water resource management.
Scientists uncover future drought patterns and their impacts on global water resources Read More »
Today, the NOAA announced $4.9 million in funding for the agency’s labs and research partners to improve drought monitoring and prediction in the American West. This research combines $3.1 million in funding from NOAA’s National Integrated Drought Information System (NIDIS) program and $1.8 million from the Inflation Reduction Act to improve decision-makers’ capacity to protect life, property and ecosystems
Machine learning methods help scientists evaluate and improve temperature data from reanalysis products.
ERA5 dataset proven most accurate for U.S. temperature predictions Read More »
Climate modelers used the rapid acceleration of sea level rise along the U.S. Southeast Coast since 2010 as a case study to investigate drivers and predictability of sea level rise in the region. Findings suggest the rate of sea level rise along the U.S. southeastern seaboard is potentially predictable up to 5 years in advance.
Drivers and improved predictability of sea level rise along the U.S. Southeast Coast Read More »
High evaporation and reduced Mississippi River flows were the primary drivers of Louisiana’s severe drought and saltwater intrusion crisis in 2023. The study emphasized the critical role of atmospheric conditions in understanding, predicting, and protecting water resources.
Study reveals key factors behind Louisiana’s 2023 water crisis Read More »
Scientists investigate physical and chemical changes in the California Current System (CCS) in a new study published in Geophysical Research Letters.
Scientists published a study in Nature Communications addressing this issue using the Community Earth System Model 2 Large Ensemble (CESM2-LE) to simulate sea surface temperatures (SST) under historical and future climate scenarios.
Climate variability in North Atlantic to increase dramatically by mid-century Read More »