image: Contributions of marine aerosols in higher temperature ice cloud formation over the Southern Ocean view more
Credit: Kitami Institute of Technology and National Institute of Polar Research
Climate models are digital simulations of the Earth’s climate system. These models calculate the interactions of various drivers of climate, such as land, sea, atmosphere, and humidity among others and forecast the future climate of the world. Yet, simulating clouds, a key factor of the Earth’s climate system, has always been challenging. Their complex behavior makes it easy for climate modelers to misestimate cloud cover.
Recently, a duo of climate scientists from Japan—Assistant Professor Kazutoshi Sato from Kitami Institute of Technology and Associate Professor Jun Inoue from the National Institute of Polar Research—answered a few critical questions on cloud formation over Antarctica and the Southern Ocean. “Ice clouds are normally formed under very cold conditions (under -38 °C), but we observed the formation of low-level (under 6500 feet) ice-clouds at significantly higher temperatures,”says Dr. Sato. Their research, published in the journal Geophysical Research Letters, was published on 9 December 2021.
“Aerosols” —tiny particles suspended in the air upon which water vapor condenses at high altitudes —are a crucial factor to cloud formation. Breaking waves and squally winds disperse aerosols from the sea into the atmosphere. These particles then become the starting particles for a type of cloud called “ice clouds” and are hence called “ice-nucleating particles” (INPs). As the ice cover on the polar sea surface changes with temperature, the concentration and activity of INPs changes too, thereby influencing cloud formation. “There are large uncertainties in current numerical climate models because of overestimation in ice-cloud fractions, especially in atmospheric and oceanic circulation. Understanding the sources of INPs will go a long way towards mitigating this issue,” explains Dr. Inoue.
Documenting cloud characteristics in remote polar regions is challenging from the ground. To overcome the issue, the scientists used data captured by the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. Based on these data, they estimated the seasonal variation in the ice cloud fraction over Antarctica and the Southern Ocean. They also investigated the relationship between low-level ice clouds and sea surface conditions in summer and winter.
Marine phytoplankton blooms are considered a source of bioaerosols. The scientists also used the satellite data to measure the concentration of chlorophyll on the sea surface to provider an indicator of phytoplankton abundance in the upper layers of the ocean. Finally, they reanalyzed the existing data to understand precisely the extent of gas and particle exchange between the ocean and atmosphere.
They found that there was a sizeable difference in ice cloud formation at the low- and mid-levels (6500–20,000 feet) between summertime and winter. High fractions of low-level ice clouds were observed at comparatively high temperatures (above −7.5°C) over coastal Antarctic Sea ice areas in the summer. This increased ice cloud cover coincided with the highest estimated populations of phytoplankton. In winter, low-level ice clouds were observed at temperatures above −17.5°C, a time during which substantial heat exchange took place from the ocean to the air near coastal areas. Dr. Sato emphasizes, “Our findings suggest that marine aerosols emitted from the ocean contribute to low-level ice-cloud formation over the Southern Ocean even under higher temperatures.”
Ongoing climate change is causing rapid environmental changes; changes that are being felt acutely in the polar regions. Dr. Inoue highlights the importance of their findings, “Developing reliable global climate models are essential to improving our understanding and predictions of climate behavior. By clarifying the relationship between ice clouds and marine aerosols, our study will help reduce the errors associated with cloud biases in a numerical climate model.”
Improving the accuracy of climate models is the defining challenge of our time, but with findings like this to help us on our way, we are sure to succeed.
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About Kitami Institute of Technology, Japan
Kitami Institute of Technology is a national university in Kitami, Hokkaido, Japan. It was founded as the Kitami Junior College of Technology on 1 April 1960 and it was chartered as a university on 1 April 1966. In 2004, it became part of the National University Corporation.
Website: https://www.kitami-it.ac.jp/en/
About Dr. Kazutoshi Sato from Kitami Institute of Technology, Japan
Dr. Kazutoshi Sato is an Assistant Professor of Kitami Institute of Technology, Japan. His areas of research include climate variability, climate modeling, numerical climate simulations, regional climate modelling, and climate change. An expert in his field, he has authored over 30 research papers in reputed journals.
About National Institute of Polar Research (NIPR)
The NIPR engages in comprehensive research via observation stations in Arctic and Antarctica. As a member of the Research Organization of Information and Systems (ROIS), the NIPR provides researchers throughout Japan with infrastructure support for Arctic and Antarctic observations, plans and implements Japan's Antarctic observation projects, and conducts Arctic researches of various scientific fields such as the atmosphere, ice sheets, the ecosystem, the upper atmosphere, the aurora and the Earth's magnetic field. In addition to the research projects, the NIPR also organizes the Japanese Antarctic Research Expedition and manages samples and data obtained during such expeditions and projects. As a core institution in researches of the polar regions, the NIPR also offers graduate students with a global perspective on originality through its doctoral program. For more information about the NIPR, please visit: https://www.nipr.ac.jp/english/
About the Research Organization of Information and Systems (ROIS)
The Research Organization of Information and Systems (ROIS) is a parent organization of four national institutes (National Institute of Polar Research, National Institute of Informatics, the Institute of Statistical Mathematics and National Institute of Genetics) and the Joint Support-Center for Data Science Research. It is ROIS's mission to promote integrated, cutting-edge research that goes beyond the barriers of these institutions, in addition to facilitating their research activities, as members of inter-university research institutes.
Journal
Geophysical Research Letters