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A Comparison between Simulated and Observed Surface Energy Balance at the Svalbard Archipelago

机译:斯瓦尔巴群岛的模拟和观测表面能平衡的比较

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The surface energy balance at the Svalbard Archipelago has been simulated at high resolution with the Weather Research and Forecasting Model and compared with measurements of the individual energy fluxes from a tundra site near Ny-angstrom lesund (located north of Norway), as well as other near-surface measurements across the region. For surface air temperature, a good agreement between model and observations was found at all locations. High correlations were also found for daily averaged surface energy fluxes within the different seasons at the main site. The four radiation components showed correlations above 0.5 in all seasons (mostly above 0.9), whereas correlations between 0.3 and 0.8 were found for the sensible and latent heat fluxes. Underestimation of cloud cover and cloud optical thickness led to seasonal biases in incoming shortwave and longwave radiation of up to 30%. During summer, this was mainly a result of distinct days on which the model erroneously simulated cloud-free conditions, whereas the incoming radiation biases appeared to be more related to underestimation of cloud optical thickness during winter. The model overestimated both sensible and latent heat fluxes in most seasons. The model also initially overestimated the average Bowen ratio during summer by a factor of 6, but this bias was greatly reduced with two physically based model modifications that are related to frozen-ground hydrology. The seasonally averaged ground/snow heat flux was mostly in agreement with observations but showed too little short-time variability in the presence of thick snow. Overall, the model reproduced average temperatures well but overestimated diurnal cycles and showed considerable biases in the individual energy fluxes on seasonal and shorter time scales.
机译:斯瓦尔巴群岛的地表能量平衡已通过天气研究和预报模型进行了高分辨率模拟,并与Ny-埃斯特罗姆·勒松德附近(位于挪威北部)的苔原站点以及其他地方的单个能量通量的测量结果进行了比较。整个区域的近地表测量。对于地表空气温度,在所有位置都发现模型与观测值之间有很好的一致性。还发现主站点不同季节内每日平均表面能通量具有高度相关性。在所有季节中,四个辐射分量均显示出高于0.5的相关性(大部分高于0.9),而感热通量和潜热通量的相关性在0.3和0.8之间。云层和云层光学厚度的低估导致入射短波和长波辐射的季节性偏差高达30%。在夏季,这主要是由于不同的日子里,该模型错误地模拟了无云的条件,而入射的辐射偏差似乎与冬季低估了云的光学厚度有关。该模型高估了大多数季节的感热通量和潜热通量。该模型最初还高估了夏季的平均Bowen比率6倍,但是通过两次与冻结地面水文学相关的基于物理的模型修改,该偏差已大大降低。季节性平均的地面/雪热通量与观测值基本一致,但在厚雪的情况下,短时变化性很小。总体而言,该模型能够很好地再现平均温度,但高估了昼夜周期,并且在季节和较短的时间尺度上,个体能量通量显示出相当大的偏差。

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