Snow albedo and its sensitivity to changes in deposited light-absorbing particles estimated from ambient temperature and snow depth observations at a high-altitude site in the Himalaya

IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Elementa-Science of the Anthropocene Pub Date : 2022-01-01 DOI:10.1525/elementa.2021.00118
J. Ström, J. Svensson, H. Honkanen, E. Asmi, Nathaniel B. Dkhar, S. Tayal, V. Sharma, R. Hooda, O. Meinander, M. Leppäranta, H. Jacobi, H. Lihavainen, A. Hyvärinen
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Abstract

Snow darkening by deposited light-absorbing particles (LAP) accelerates snowmelt and shifts the snow melt-out date (MOD). Here, we present a simple approach to estimate the snow albedo variability due to LAP deposition and test this method with data for 2 seasons (February–May 2016 and December 2016–June 2017) at a high-altitude valley site in the Central Himalayas, India. We derive a parameterization for the snow albedo that only depends on the daily observations of average ambient temperature and change in snow depth, as well as an assumed average concentration of LAP in snow precipitation. Linear regression between observed and parameterized albedo for the base case assuming an equivalent elemental carbon concentration [ECeq] of 100 ng g–1 in snow precipitation yields a slope of 0.75 and a Pearson correlation coefficient r2 of 0.76. However, comparing the integrated amount of shortwave radiation absorbed during the winter season using observed albedo versus base case albedo resulted in rather small differences of 11% and 4% at the end of Seasons 1 and 2, respectively. The enhanced energy absorbed due to LAP at the end of the 2 seasons for the base case scenario (assuming an [ECeq] of 100 ng g–1 in snow precipitation) was 40% and 36% compared to pristine snow. A numerical evaluation with different assumed [ECeq] in snow precipitation suggests that the relative sensitivity of snow albedo to changes in [ECeq] remains rather constant for the 2 seasons. Doubling [ECeq] augments the absorption by less than 20%, highlighting that the impact on a MOD is small even for a doubling of average LAP in snow precipitation.
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根据喜马拉雅高海拔地区的环境温度和雪深观测估计的雪反照率及其对沉积吸光粒子变化的敏感性
吸收光粒子(LAP)使积雪变暗,加速融雪,使融雪期(MOD)发生偏移。本文提出了一种估算LAP沉积引起的积雪反照率变化的简单方法,并利用印度喜马拉雅中部高海拔山谷站点的2个季节(2016年2月- 5月和2016年12月- 2017年6月)的数据对该方法进行了测试。我们推导了积雪反照率的参数化,该参数化仅依赖于平均环境温度和雪深变化的每日观测,以及雪降水中LAP的假设平均浓度。假设雪降水中同等元素碳浓度[ECeq]为100 ng g-1,基本情况下观测反照率与参数化反照率之间的线性回归斜率为0.75,Pearson相关系数r2为0.76。然而,使用观测反照率与基准反照率比较冬季短波辐射吸收的综合量,在第1季末和第2季末的差异很小,分别为11%和4%。在基本情景(假设雪降水的[ECeq]为100 ng g-1)中,两个季节结束时由于LAP而吸收的增强能量与原始雪相比分别为40%和36%。不同假设[ECeq]积雪降水的数值计算表明,积雪反照率对[ECeq]变化的相对敏感性在2个季节保持相当稳定。加倍[ECeq]使吸收率增加不到20%,这突出表明即使降雪中平均LAP加倍,对MOD的影响也很小。
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来源期刊
Elementa-Science of the Anthropocene
Elementa-Science of the Anthropocene Earth and Planetary Sciences-Atmospheric Science
CiteScore
6.90
自引率
5.10%
发文量
65
审稿时长
16 weeks
期刊介绍: A new open-access scientific journal, Elementa: Science of the Anthropocene publishes original research reporting on new knowledge of the Earth’s physical, chemical, and biological systems; interactions between human and natural systems; and steps that can be taken to mitigate and adapt to global change. Elementa reports on fundamental advancements in research organized initially into six knowledge domains, embracing the concept that basic knowledge can foster sustainable solutions for society. Elementa is published on an open-access, public-good basis—available freely and immediately to the world.
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