Articles | Volume 27, issue 15
Research article
09 Aug 2023
Research article |  | 09 Aug 2023

A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates

Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu

Data sets

Meteorological Station Observation Dataset The China Meteorological Administration

China meteorological forcing dataset (1979-2018) TPDC

Model code and software

High-Resolution Land Data Assimilation System (HRLDAS) NCAR

Short summary
This study aims to investigate the performance of a genetic particle filter which was used as a snow data assimilation scheme across different snow climates. The results demonstrated that the genetic algorithm can effectively solve the problem of particle degeneration and impoverishment in a particle filter algorithm. The system has revealed a low sensitivity to the particle number in point-scale application of the ground snow depth measurement.