Japanese scientists have learned to predict the phenomenon of red snow. An article about this was published in the Journal of Geophysical Research: Biogeosciences.

Red snow is a rare phenomenon observed in the mountains and subpolar regions of the Earth, caused by the reproduction of chlamydomonas snow algae. As a result, the snow acquires a pink color. Scientists from the University of Tokyo have found out what weather conditions affect the appearance of this phenomenon.

“It is important to understand when these algal blooms occur,” says Yukihiko Onuma. “The aim of our study was to learn how to predict the time and place of the appearance of this effect on the snow cover of the Earth.”

The researchers took a previously developed model for the development of Chlamydomonas snow as a basis and included additional factors, such as the duration of snowfalls and daylight hours. It turned out that the predictions of this model coincide with real data on the distribution of red snow in 15 different places around the world.

Then the scientists included the developed model in a simulator of conditions on the Earth's surface. “The simulation predicted the appearance of algal blooms exactly where they appeared in reality,” the scientists explain. “In simulations, we learned that the timing of algal blooms was strongly related to how long snow cover lasted and what time fresh snow fell.”

The authors hope that the inclusion of their development in the global model of conditions on Earth will provide a better understanding of the climate of our planet.

Previously, scientists found that flowers in Britain began to bloom a month earlier than 40 years ago.

bbabo.Net