Analysis of temporal and spatial distribution characteristics of precipitationbased on multi-source data assimilation and fusion in Niyang River Basin
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
There are few meteorologicol stations located in the plateau and cold mountain orea of the Niyang River Basin,China. It is a typical area that has a data shortage. Therefore, satellite precipitation data is an important supplement. Due to the indirectness of the acquisition of satellite precipitation data and its uncertainty,data accuracy has always been a major barrier to its effective application. Based on the Ensemble Kalman Filter (EnKF) assimilation algorithm, five satellite precipitation products including TRMM,CHIRPS,Cmorph_Vl.O,PERSLANN－CDR and Gldas_Noah were selected.The multi-source precipitation data assimilation and fusion were carried out because of the accuracy analysis of the measured precipitation in the grid area of Linzhi Station. The results showed that the correlation coefficients of the five satellite precipitation data products with original satellite precipitation increased up to 0. 98 after assimilation, the BIAS was below 10%, ME was less than 0.2 mm/day,and the RMSE was less than 0.6 mm/day,respectively,The effect of EnKF’s assimilation was significant. The error sequence between the assimilated five kinds of precipitation and the original satellite precipitation was extended to the whole basin so that the five assimilated precipitations in the whole hasin were used for fusion. The combined precipitation data integrated the advantages of the five precipitation data products in the accuracy index, while its accuracy and reliability were much higher. Kriging interpolation method was used to analyze the tempornl and spatial distribution characteristics of precipitation after integration in Niyang River Basin. The results showed that the spatial distribution of annual precipitation decreased gradually from the midland to the surrounding, and showed an increasing trend year by year. Through assimilation and integration of satellite precipitation data, it may provide a time series of precipitation for the requirements of hydrological simulation and water resources management, which has important application value.
Keywords:
Project Supported:
Clc Number:
Mobile website
® 2024 All Rights Reserved
冀公网安备13010502002656号
冀公网安备13010502002656号