Filling a vital gap in climate models

Journal of Geophysical Research: Atmospheres (2022). DOI: 10.1029 / 2022JD036796″ width=”800″ height=”530″/>

From left to right Bistatic Radar System for Atmospheric Studies cloud radar reflectivity Contour Frequency by Temperature Diagram and reflectivity median value as a function of temperature and Doppler velocity, followed by the same figures for altitude. Dotted lines are the 25% and 75% percentile, line the 50% percentile of the abscissa variable. From top to bottom, clusters W1 (warm air advection), M1 (high pressure), M2 (cold front), M3 (post-front), M4 (warm front), C1 (high-latitude cyclone center), and C2 ( coastal Antarctica). All during the Clouds Aerosols Precipitation Radiation and atmospheric Composition Over the Southern Ocean I and II, synoptic conditions are classified by a k-means clustering method. Credit: Journal of Geophysical Research: Atmospheres (2022). DOI: 10.1029 / 2022JD036796

Researchers at the ARC Center of Excellence for Climate Extremes have filled an important gap in climate modeling and predictions with new research out today in the Journal of Geophysical Research: Atmospheres.

“When modeling the climate, clouds are still one of the biggest sources of uncertainty,” says Estefania Montoya Duque, researcher from the ARC Center of Excellence for Climate Extremes.

“Some clouds have a warming effect, while some clouds have a cooling effect. Some clouds contain only liquid, some only ice, and others a mix of both. Clouds exist at different altitudes and come in different shapes. All of these characteristics end up having an effect on the amount of radiation they let come in and the amount of radiation they let go out, “says Montoya Duque.

Climate models struggle to reflect the diversity and complexity of clouds, leading to uncertainty in some climate predictions. Montoya Duque’s research focuses on clouds over the Southern Ocean — a part of the ocean that is notoriously hard for scientists to collect quality data from. If we don’t properly represent clouds in climate modelsthere will be errors in the projections we make.

“Estimates of precipitation, temperature, changes in Antarctic sea ice, and the carbon cycle will all be affected, “says Montoya Duque.

“These projections are important for understanding how our quality of life will be affected by climate change. “

The findings are a significant contribution towards improving how we model the climate, providing vital information that allows us to prepare for climate extremes in a warming world.


Thin tropical clouds cool the climate


More information:
E. Montoya Duque et al, A Characterization of Clouds and Precipitation Over the Southern Ocean From Synoptic to Micro Scales During the CAPRICORN Field Campaigns, Journal of Geophysical Research: Atmospheres (2022). DOI: 10.1029 / 2022JD036796

Provided by ARC Center of Excellence for Climate Extremes (CLEx)

Citation: Filling a vital gap in climate models (2022, September 13) retrieved 13 September 2022 from https://phys.org/news/2022-09-vital-gap-climate.html

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