Developing a Snow Algae Model to Reconstruct Blooming at the Global Scale Using a Land Surface Model
Developing a Snow Algae Model to Reconstruct Blooming at the Global Scale Using a Land Surface Model
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使用陆地表面模型开发雪藻模型以在全球范围内重建水华
DOI：
10.1002/essoar.10506587.1
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Takeuchi Nozomu
中科院分区：
文献类型：
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作者：
Onuma Yukihiko;Yoshimura Kei;Takeuchi Nozomu
从春天到夏天，雪藻在世界各地的雪原和冰川上都能找到。它们的开花使雪表面变暗，减少雪表面的湿度并加速融化。然而，关于这些藻类的开花季节和全球分布仍然存在争议。为了再现雪藻水华的时空变异性，我们改进了现有的雪藻模式，使用全球大气再分析数据集校准的陆面模式。降雪和日光长度数据选定的模型位置也被纳入。为了评估其性能，我们使用了15个极地高山地区的现场观测数据。在这项研究中所做的改进，允许重建详细的雪藻开花报告，从世界各地，结果表明，影响雪藻开花的外观的主要因素是融雪期持续时间和藻类生长中断的新积雪。然后，我们将更新的雪藻模型纳入陆面模型，并进行了全球模拟。在这种情况下，我们的模拟表明，在融化季节，红色的雪可能会出现在雪地上，但只有在没有频繁的新雪福尔斯下降，如果积雪持续足够长的时间，以允许藻类长时间生长。
Snow algae are found from spring to summer on snowfields and glaciers throughout the world. Their blooming darkens snow surfaces, reducing snow surface albedo and accelerating melting. Uncertainties remain, however, regarding the blooming season and global distribution of these algae. To reproduce snow algal bloom temporal and spatial variability, we improved an existing snow algae model using a land surface model calibrated with a global atmospheric reanalysis dataset. Snowfall and daylight length data for selected model locations were also incorporated. To evaluate its performance, we used in situ observational data from 15 polar to alpine area sites. The improvements made in this study allowed the reconstruction of detailed snow algal blooming reports from various locations worldwide, and the results suggested that the major factors affecting the appearance of snow algal blooming were the snow melting period duration and algal growth interruption by new snow cover. We then incorporated the updated snow algae model into a land surface model and performed a global simulation. In this case, our simulation suggested that red snow could appear on snowfields during the melting season but only in the absence of frequent new snow falls, and if the snow cover persists long enough to allow prolonged algal growth.