التفاصيل البيبلوغرافية
| العنوان: |
基于能量平衡的分析模型在青海湖湖冰 模拟中的应用. (Chinese) |
| Alternate Title: |
Application of the Analytic Model Based on Energy Balance into the Lake Ice Simulation of Qinghai Lake. (English) |
| المؤلفون: |
赵仪欣, 文莉娟, 王梦晓, 曾礼, 牛瑞佳 |
| المصدر: |
Plateau Meteorology; Jun2023, Vol. 42 Issue 3, p590-602, 13p |
| Abstract (English): |
Lake ice is sensitive to climate change. Under the background of global warming, lake ice is generally declining, and even some lakes in the Northern Hemisphere may not freeze in the future. Lakes are widely distributed in the Qinghai-Xizang Plateau, but there are few studies on lake ice simulation. In addition, the understanding of lake ice characteristics and its freezing coefficients on the Qinghai-Xizang Plateau is still relatively limited. The freezing coefficient A0 of Qinghai Lake was calculated by the degree-day approach for ice growth, using the lake ice thickness measurement data from fly-by-wire radar, meteorological observation data of Qinghai Lake, ERA5-Land reanalysis data, MODIS land surface temperature data and Aqua/MODIS satellite remote sensing images. The results show that A0 has spatial and temporal heterogeneity in Qinghai Lake, and the former is more obvious than the latter. Both the degree-day approach and the energy balance-based analytical model are applied to simulate the lake ice evolution of Qinghai Lake on the Qinghai-Xizang Plateau. The results show that, compared with the degree-day method, the simulations of the start of ice formation, the end of melting and the thickness of lake ice for the 2018 -2019 ice season of Qinghai Lake by the energy balance-based analytic Model are more consistent with the observations. The analytical model is a better method than the degree-day method for simulating the ice of Qinghai Lake. It incorporates the effects of radiation, energy exchange, meteorological elements, lake depth and other factors, thus improving the physical processes and compensating for the fact that the accuracy of the degree-day method of simulation depends on the first date of freezing and cannot simulate the melting process. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
湖冰对气候变化响应敏感， 在全球变暖的背景下， 湖冰总体呈现衰退趋势， 甚至北半球部分湖泊 未来有可能不再冻结。青藏高原湖泊分布广泛， 但目前对于湖冰的模拟研究开展较少， 对青藏高原湖冰 特征及冻结系数的认识还较为有限。本文利用飞航式雷达湖冰测厚数据、 青海湖气象观测数据、 ERA5- Land 再分析数据、 MODIS 地表温度数据以及Aqua/MODIS 卫星遥感图像， 通过度日法湖冰生长模型确 定了青海湖冻结系数A0， 研究结果显示A0在青海湖具有空间异质性和时间异质性， 且前者比后者更为 明显。进一步利用度日法和基于能量平衡的分析模型模拟了青海湖的湖冰演变， 结果表明： 相较于度日 法， 基于能量平衡的分析模型模拟的青海湖2018 -2019 年冰期的开始结冰时间、 融化结束时间与湖冰厚 度同实际观测更为符合。分析模型是一种优于度日法、 适用于青海湖湖冰模拟研究的方法， 该方法能够 综合考虑辐射、 能量交换、 气象要素、 湖泊深度等因素的影响， 其物理过程更为完善， 同时也弥补了度 日法模拟精度依赖于冻结初日的确定且无法表现融化过程的缺陷。 [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |