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
Better representation of mountain range heights could help reduce biases in how global climate models simulate important atmospheric and climate processes.
Mountain Range Representation Could Reduce Biases in Global Climate Models, Study Says Read More »
The study focuses on investigating the controlling factors of urban heat in Bengaluru, India and showcases multiple methods of urban heat analysis.
Urban heat case study demonstrates impacts of vegetation in Bengaluru, India Read More »
Recent research showcases how machine learning methods can help reduce errors in tropical cyclone intensity forecasts to prevent damages and loss of life.
Can Machine Learning Improve Tropical Cyclone Forecasts? Read More »
This COM-funded study developed an improved paelo-temperature reconstruction dataset for the Northern Hemisphere using tree ring proxy data.
Millenia-long Temperature Dataset Reconstructed Using Tree Rings Read More »
New research highlights the application of reanalysis products, including the 20th Century Reanalysis Project (20CRv3), to understanding coastal hazards in a changing climate.
The projects highlight how competitive research investments in dataset development provide a foundation to support OAR Portfolio priorities.
Researchers funded by CPO’s Climate Observations and Modeling (COM) program use a new method of climate index development to demonstrate the creation of directional wind indices and their potential application.
New Technique for Creating Long-term Wind Indices Shows Broad Applications Read More »
New research shows how climate change-induced increases in tropical cyclone activity leads to more phytoplankton blooms.
More Frequent, Intense Tropical Cyclones Can Lead to Increased Phytoplankton Blooms Read More »
A new study provides an updated and more comprehensive view on historical hydroclimatic trends by quantifying how much of the changes in those trends can be attributed to external forcing vs. internal variability.
New research identifies important climate drivers affecting tundra vegetation productivity and points to potential methods of predicting vegetation a season or two ahead of time.
Climate Indicators Identify Drivers of Change in Arctic Tundra Read More »