论文标题
类似地球的：一种教育与外展工具，用于探索像我们自己一样的行星多样性
Earth-Like: An education & outreach tool for exploring the diversity of planets like our own
论文作者
论文摘要
类似地球的是一个交互式网站和Twitter机器人，由于地面海洋和出现的土地覆盖率，火山效率（脱气）以及接收的太阳辐射水平，用户可以探索类似地球行星的平均全球表面温度的变化。使用简单的碳硅酸盐循环模型计算温度，以根据所选参数在大气中更改$ \ rm co_2 $的水平。该模型可以通过改变所有三个参数，包括以我们当今的火山速度的冻结循环以及位于可居住区外边缘的出现的地球范围，可以实现超过$ -100^\ Circ $ c至$ 100^\ Circ $ C的$ 100^\ Circ $ C。为了增加参与度，根据计算出的平均表面温度和土地分数和火山的选择值，通过使用神经网络来渲染动画地球来可视化行星。该网站和机器人可以在Earthike.world和Twitter上找到，作为@earthlikeworld。通过用户调查的初步反馈表明，类似地球的有效表明行星特性的微小变化会强烈影响地表环境。该项目的目的是增加对我们在银河系中岩石世界中可能多样化的条件的多样性，以提高我们在寻找另一个可居住星球方面面临的挑战的理解。
Earth-Like is an interactive website and twitter bot that allows users to explore changes in the average global surface temperature of an Earth-like planet due to variations in the surface oceans and emerged land coverage, rate of volcanism (degassing), and the level of the received solar radiation. The temperature is calculated using a simple carbon-silicate cycle model to change the level of $\rm CO_2$ in the atmosphere based on the chosen parameters. The model can achieve a temperature range exceeding $-100^\circ$C to $100^\circ$C by varying all three parameters, including freeze-thaw cycles for a planet with our present-day volcanism rate and emerged land fraction situated at the outer edge of the habitable zone. To increase engagement, the planet is visualised by using a neural network to render an animated globe, based on the calculated average surface temperature and chosen values for land fraction and volcanism. The website and bot can be found at earthlike.world and on twitter as @earthlikeworld. Initial feedback via a user survey suggested that Earth-Like is effective at demonstrating that minor changes in planetary properties can strongly impact the surface environment. The goal of the project is to increase understanding of the challenges we face in finding another habitable planet due to the likely diversity of conditions on rocky worlds within our Galaxy.
