| Autor: |
Xiuzhi WANG, Qidong YANG, Shuaichen HE, Zilin SHI, Bingrong LÜ |
| Jazyk: |
čínština |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Gaoyuan qixiang, Vol 43, Iss 4, Pp 995-1010 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1000-0534 |
| DOI: |
10.7522/j.issn.1000-0534.2024.00070 |
| Popis: |
Southeast Asia's Low-Latitude Highland （LLH） is one of the hotspots of land-atmosphere coupling in the world， with its land-atmosphere interaction has significant impacts on climate， hydrology and environment.This study employs Uniform Design （UD） method to conduct 48 groups of simulation using different parameterization schemes of Weather Research and Forecasting （WRF） model.By optimizing the parameterization schemes， the variables related to land-atmosphere interaction in this area are simulated and evaluated.The findings are as follows： （1） The ensemble of 48 simulation groups demonstrates good performance for near-surface air temperature， near-surface specific humidity， surface downward longwave radiation， surface upward longwave radiation and surface soil temperature， with average Taylor Skill Score （TSS） values exceeding 0.8； for near-surface wind speed， precipitation， surface sensible heat flux， surface latent heat flux， surface downward shortwave radiation and surface upward shortwave radiation， the ensemble simulation can adequately capture the characteristics of these variables， with average TSS values ranging between 0.4 and 0.8； but for surface soil moisture， the ensemble simulation performance is poor， with average TSS values less than 0.4.The variability among different simulation groups is minimal for near-surface wind speed， precipitation， surface latent heat flux， surface downward shortwave radiation， surface upward shortwave radiation， surface soil temperature and surface soil moisture （TSS range < 0.2）； but for the surface sensible heat flux， the variability among different simulation groups is significant （TSS range > 0.3）.（2） The optimal parameterization schemes based on equal-weighted averaged TSS can enhance simulation accuracy for near-surface air temperature， near-surface specific humidity， surface downward longwave radiation， surface upward longwave radiation and surface soil temperature， with correlation coefficients exceeding 0.9 and minor deviations from reference values.However， this optimization could not significantly improve simulation performance for near-surface wind speed， precipitation， surface sensible heat flux， surface latent heat flux and surface soil moisture， where deviations remain substantial.（3） The optimal parameterization schemes can reasonably capture the spatial and temporal features of land-atmosphere coupling， showing strong coupling strength in northeast and southwest LLH， with temporal correlation coefficient greater than 0.9.Nonetheless， the simulated values of coupling strength is generally weaker than the reference values， primarily due to poor simulation performance of surface latent heat flux and surface downward shortwave radiation. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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