In the present study, analysis of surface weather parameters and energy fluxes has been carried out over the Indian Antarctic stations Maitri and Bharati. For this purpose, weather parameters taken from three different reanalysis datasets are compared against automatic weather station (AWS) observations during the period from 1991 to 2010. Results suggest that the European centre for medium-range weather forecasts Reanalysis-Interim (ERAI) yields better estimates and further used for long-term analysis over the period from 1979 to 2017. It is found that air temperature at Maitri is always lower than that at Bharati. This difference might be due to the Maitri being located at 100 km inland in comparison with Bharati which is near the coast. The wind direction analysis indicates the predominance of South-East and North-East winds at Maitri and Bharati, respectively. Moreover, monthly net energy fluxes climatology has been prepared using ERAI reanalysis. During January (−14 W/m²) and December (−9 W/m²) net energy fluxes at Maitri are negative (energy flow from surface to atmosphere), whereas at Bharati, during January (7.68 W/m²) and December (15.34 W/m²) net energy fluxes are positive. Net energy flux at Maitri is strongly and negatively influenced by snow layer temperature whereas at Bharati, snow layer temperature influences net energy flux during winter.

在本研究中，已经在印度南极站麦特里和巴拉蒂进行了地表天气参数和能量通量的分析。为此，将从三个不同的再分析数据集中获取的天气参数与1991年至2010年期间的自动气象站（AWS）观测值进行了比较。估计并进一步用于1979年至2017年期间的长期分析。发现Maitri的气温始终低于Bharati的气温。造成这种差异的原因可能是，与离海岸较近的巴拉蒂相比，马特里（Maitri）位于内陆100公里处。风向分析表明，分别在麦特里（Maitri）和巴拉蒂（Bharati）出现东南风和东北风。此外，已经使用ERAI再分析准备了每月的净能量通量气候学。一月期间（−14 W / m²）和12月（−9 W / m ²）的净能量通量为负（能量从地表流向大气），而在巴拉蒂，一月（7.68 W / m ²）和12月（15.34 W / m ²）的净能量通量为负。净能量通量为正。Maitri的净能量通量受到雪层温度的强烈和负面影响，而在Bharati，雪层温度会影响冬季的净能量通量。