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Permafrost Data Assimilation and Reanalysis: Computational Setup and Model Validation for Northern European Russia and Eastern Siberia
Russian Meteorology and Hydrology ( IF 0.7 ) Pub Date : 2020-05-22 , DOI: 10.3103/s106837392004007x
O. A. Anisimov , S. A. Lavrov , A. F. Zhirkov , D. A. Kaverin

Abstract

The computational setup of assimilation and reanalysis of measurement data on temperature of the upper ground layer and active layer thickness based on the models of various complexity is formulated. A need in applying a dynamic model for this purpose is substantiated. Four types of permafrost with different active layer thickness are distinguished. The model validation based on measurement data in northern European Russia and Eastern Siberia is carried out for these permafrost types. A method for taking into account the small-scale variability of soil, vegetation, and landscape factors based on the ensemble simulations is proposed. It is shown that the dynamic model simulates well measurement data on the active layer thickness for a wide range of landscape, soil, and climate conditions and can be used for the reanalysis of permafrost data.


中文翻译:

多年冻土数据同化和重新分析:北欧俄罗斯和西伯利亚东部的计算设置和模型验证

摘要

基于各种复杂性模型,建立了对上地层温度和有源层厚度的测量数据进行同化和再分析的计算设置。证实了为此目的应用动态模型的需求。区分了四种具有不同活性层厚度的多年冻土。针对这些多年冻土类型,基于北欧俄罗斯和西伯利亚东部的测量数据进行了模型验证。提出了一种基于集合模拟的考虑土壤,植被和景观因子小尺度变化的方法。结果表明,该动态模型可以模拟各种地形,土壤和气候条件下有效层厚度的测井数据,并可用于永久冻土数据的重新分析。
更新日期:2020-05-22
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