Urban Heat Case Study Demonstrates Impacts of Vegetation in Bengaluru, India
The study focuses on investigating the controlling factors of urban heat in Bengaluru, India and showcases multiple methods of urban heat analysis.
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
The study focuses on investigating the controlling factors of urban heat in Bengaluru, India and showcases multiple methods of urban heat analysis.
Predicting periods of relatively higher flood risk would allow officials to prepare and deploy resources more in advance.
Their framework has useful applications for analyzing tropical cyclone forecasts and could help improve understanding of where and how often tropical cyclones may occur in the future under a changing climate.
Tropical cyclone formation and intensity is influenced by the amount of heat stored in the upper ocean, which depends on factors such as wind speed and stratification, or how much the warm upper layer of the ocean mixes with the cooler layer underneath.
Participants identified rising ocean temperatures, ocean acidification, deoxygenation, harmful algal blooms, extreme events, and the ability to predict and project these changes at scales meaningful to sanctuaries as the most pressing needs.
This protype milestone is an important step toward increasing the use and accessibility of NOAA’s ocean data collected at the Pacific Marine Environmental Lab and other U.S. institutions.
Arctic change is generally discussed with average changes, but extreme events and changes to extremes are felt the most by humans and ecosystems.
This is the first North America-focused study to investigate how well and how consistently reanalysis datasets identify extreme temperature events.
Analysis of the last millennium reanalysis climate reconstruction shows a clear connection between Southwest drought and La Niña sea-surface temperature patterns. However, this pattern only explains a small part of the variability associated with past U.S. droughts.
Researchers highlight the significance of examining trends in large-scale weather patterns using these new indicators since they reflect near surface conditions, are key drivers of extra-tropical weather, and are important regulators of human comfort for approximately half of the world’s population.