MAIC-2，火星地面温度、大气水输送和表面冰川作用的纬度模式
MAIC-2, a latitudinal model for the Martian surface temperature, atmospheric water transport and surface glaciation
摘要：
火星大气-冰耦合器MAIC-2是一个简单的纬向模型，它包括一套地面温度、大气水输送和水冰表面质量平衡（凝结减去蒸发）的参数化。它直接由近日点的轨道参数椭圆度、偏心率和太阳经度（Ls）驱动。地面温度由当地日照温度方案描述，该方案使用每日和纬度相关的辐射平衡。水的蒸发速率由自由对流的表达式计算，由水蒸气和环境空气之间的密度差驱动，冷凝速率由任何超过局部饱和压力的水蒸气立即冷凝的假设得出，并且水蒸气的大气传输近似于瞬时混合。忽略了冰沉积物的冰川流动。采用恒定轨道参数进行的模拟表明，低纬度有利于高纬度地区的冰沉积，反之亦然。在过去1000万年的轨道参数的计算历史驱动的一个瞬态的情况下，在最近的400万年产生基本上单调增长的极地冰存款，和一个非常好的协议与观察到的当今极地分层存款。厚厚的极地沉积物有时会继续形成延伸到中纬度的薄冰沉积物，这证实了高纬度地区“冰河时代”的想法。
英文摘要：
The Mars Atmosphere-Ice Coupler MAIC-2 is a simple, latitudinal model, which consists of a set of parameterisations for the surface temperature, the atmospheric water transport and the surface mass balance (condensation minus evaporation) of water ice. It is driven directly by the orbital parameters obliquity, eccentricity and solar longitude (Ls) of perihelion. Surface temperature is described by the Local Insolation Temperature (LIT) scheme, which uses a daily and latitude-dependent radiation balance. The evaporation rate of water is calculated by an expression for free convection, driven by density differences between water vapor and ambient air, the condensation rate follows from the assumption that any water vapour which exceeds the local saturation pressure condenses instantly, and atmospheric transport of water vapour is approximated by instantaneous mixing. Glacial flow of ice deposits is neglected. Simulations with constant orbital parameters show that low obliquities favour deposition of ice in high latitudes and vice versa. A transient scenario driven by a computed history of orbital parameters over the last 10 million years produces essentially monotonically growing polar ice deposits during the most recent 4 million years, and a very good agreement with the observed present-day polar layered deposits. The thick polar deposits sometimes continue in thin ice deposits which extend far into the mid latitudes, which confirms the idea of "ice ages" at high obliquity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
