\n<\/p>\n
China continues to take great strides as part of its goal to become a superpower in space and a direct competitor with NASA. In addition to its proposed expansion of the Tiangong space station and the creation of the International Lunar Research Station (ILRS), China is also planning on sending crewed missions to Mars in the coming decade. In preparation for the arrival of taikonauts on the Red Planet, China is gearing up to return samples of Martian soil and rock to Earth roughly two years ahead of the proposed NASA-ESA Mars Sample Return<\/em> (MSR).<\/p>\n This mission will be the third in the China National Space Administration\u2019s (CNSA) Tianwen program (Tianwen-3) and will consist of a pair of launches in 2028 that will return samples to Earth in July 2031. According to a new study recently published in the journal Chinese Science Bulletin, Chinese scientists announced that they have developed a new numerical model to simulate the atmospheric environment of Mars. Known as the Global Open Planetary atmospheric model for Mars (aka. GoPlanet-Mars, or GoMars), this model offers research support in preparation for the Tianwen-3 mission.<\/p>\n <\/p>\n The paper, titled \u201cDevelopment of a new generation of Mars atmosphere model GoPlanet-Mars,\u201d was performed by researchers from the Institute of Atmospheric Physics Chinese Academy of Sciences (IAP-CAS), the State Key Laboratory of Numerical Simulation of Atmospheric Science and Geohydrodynamics (LASG), and the School of Earth and Planetary Sciences at the University of Chinese Academy of Sciences (SEPS-UCAS). The study was led by Wang Bin, a Senior Researcher with the CAS-IAP who specializes in climate modeling.<\/p>\n In the past two decades, the number of missions and space agencies engaged in the exploration of Mars has increased considerably. At present, ten robotic missions are exploring its surface and atmosphere, including seven orbiters, two rovers, and one helicopter. And with many more destined for Mars in the next decade (as well as crewed missions), the demand for Martian weather forecasts is growing. As they indicate in their paper, \u201cThe world\u2019s aerospace powers have developed Mars atmosphere models to provide meteorological environment protection for landing exploration.\u201d<\/p>\n To provide information on the meteorological conditions around the Tianwen-3 mission\u2019s potential landing sites, the research team built a global open planetary atmospheric model for Mars. They then used this model to replicate the three critical cycles of the Martian atmosphere: dust, water, and carbon dioxide. They then tested the model using the Open access to Mars Assimilated Remote Soundings (OpenMARS) dataset, a global record of Martian weather from 1999 to 2015, as well as observations made by China\u2019s Zhurong <\/em>rover (part of China\u2019s Tianwen-1<\/em> mission) and NASA\u2019s Viking 1 <\/em>and 2<\/em> landers.<\/p>\n Their results showed that the GoMars model successfully reproduced the unique characteristics of surface pressure on Mars and provided good simulation performance for the surface temperature, zonal wind, polar ice, and dust. According to Wang, the Tianwen-3 mission will expand upon Tianwen-1 by adding the additional tasks of landing, sampling, and returning, which requires detailed information about Mars\u2019 atmospheric conditions. This is crucial given how sandstorms caused multiple missions to be lost, such as Opportunity, Insight, <\/em>and Zhurong<\/em> \u2013 all due to the buildup of dust on their solar panels.<\/p>\n In addition, the Perseverance <\/em>rover suffered damage to one of its wind sensors during a sandstorm due to airborne pebbles colliding with it. Since observation data is in short supply for Mars, the model also has applications for virtual reality simulations. This is necessary when prepping missions to remote planets, which helps them design vehicles and select appropriate landing sites. In this respect, a \u201cvirtual Mars\u201d program that incorporates GoMars and future observations could take a lot of the guesswork out of future mission planning. <\/p>\n \n