Investigating the Assimilation of Leaf Area Index Products at Different Temporal Resolutions in a Land Surface Model
| Autor: | Viviana Maggioni, Xinxuan Zhang, Azbina Rahman |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
0207 environmental engineering 02 engineering and technology Vegetation 01 natural sciences Data modeling Data assimilation Evapotranspiration Temporal resolution Environmental science Satellite Leaf area index Time series 020701 environmental engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IGARSS |
| Popis: | Remote sensing observations of vegetation derived from satellite retrievals provide spatially comprehensive measurements that are well-suited for data assimilation in land surface modeling over large areas. However, the temporal intervals of such satellite-based observations are usually multi-daily or monthly, which may not be frequent enough to perform an effective data assimilation procedure. One way that can potentially improve the assimilation performance is to apply temporal interpolation to the satellite observations before merging them with the model estimates. This study assimilates satellite leaf area index (LAI) products in a land surface model with two methods: i) assimilation of satellite LAI products at their original temporal resolution, and ii) temporal interpolation of the satellite LAI to a finer resolution before assimilation. Results show that both LAI assimilation methods are effective to improve the model performance. In addition, the simulation assimilated with the temporally interpolated LAI observations performs better than the simulation assimilated with the original LAI observations in terms of the model estimated LAI and evapotranspiration estimates. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|