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A RCM investigation of the influence of vegetation status and runoff scheme on the summer gross primary production of Tropical Africa
Theoretical and Applied Climatology ( IF 2.8 ) Pub Date : 2021-07-06 , DOI: 10.1007/s00704-021-03667-0
Samy A. Anwar 1 , Ismaila Diallo 2
Affiliation  

Three 16-year simulations were conducted to investigate the potential influence of the vegetation cover changes (static versus interactive) alone and vegetation-runoff systems (CN-TOP versus CN-VIC) on the gross primary production (GPP) over tropical Africa using a regional climate model RegCM4-CLM45. CLM45 is the land surface model coupled to the RegCM4, CN is the carbon–nitrogen module, SIMTOP (TOP) is the default runoff scheme and Variable Infiltration Capacity (VIC) is the optional runoff scheme of the CLM45. The results showed that when the vegetation cover changes were considered alone, the RegCM4 model shows a low bias of GPP—relative to the static vegetation case—in comparison with the observation-based dataset (Machine Tree Ensemble (MTE)). On the other hand, when the effects of the soil moisture (as represented by the runoff scheme) and vegetation cover changes were combined together, the difference between the two vegetation-runoff systems was larger than when the vegetation cover changes were considered alone. This was evident as the CN-VIC severely underestimated the GPP with respect to the MTE; meanwhile the CN-TOP reversed this effect particularly over the Congo basin. Overall, GPP is more sensitive to vegetation-runoff systems than when the vegetation cover changes are only considered. In addition, the regional coupled RegCM4-CLM45-CN-VIC model can simulate the GPP with a reasonable bias as long as the four parameters of the VIC surface dataset are calibrated against in-situ observations of tropical Africa.



中文翻译:

植被状况和径流方案对热带非洲夏季初级生产总值影响的 RCM 调查

进行了三个为期 16 年的模拟,以研究单独的植被覆盖变化(静态与交互)和植被径流系统(CN-TOP 与 CN-VIC)对热带非洲初级生产总值(GPP)的潜在影响,使用区域气候模型 RegCM4-CLM45。CLM45 是与 RegCM4 耦合的地表模型,CN 是碳氮模块,SIMTOP (TOP) 是默认径流方案,可变渗透能力 (VIC) 是 CLM45 的可选径流方案。结果表明,当单独考虑植被覆盖变化时,与基于观测的数据集(机器树集合 (MTE))相比,RegCM4 模型显示出 GPP 的低偏差(相对于静态植被情况)。另一方面,当土壤水分(以径流方案表示)和植被覆盖变化的影响结合在一起时,两种植被-径流系统之间的差异比单独考虑植被覆盖变化时更大。这很明显,因为 CN-VIC 严重低估了 MTE 的 GPP;同时,CN-TOP 逆转了这种影响,尤其是在刚果盆地。总体而言,与仅考虑植被覆盖变化时相比,GPP 对植被径流系统更为敏感。此外,区域耦合 RegCM4-CLM45-CN-VIC 模型可以模拟具有合理偏差的 GPP,只要 VIC 地表数据集的四个参数根据热带非洲的现场观测进行校准。两个植被径流系统之间的差异比单独考虑植被覆盖变化时更大。这很明显,因为 CN-VIC 严重低估了 MTE 的 GPP;同时,CN-TOP 逆转了这种影响,尤其是在刚果盆地。总体而言,与仅考虑植被覆盖变化时相比,GPP 对植被径流系统更敏感。此外,区域耦合 RegCM4-CLM45-CN-VIC 模型可以模拟具有合理偏差的 GPP,只要 VIC 地表数据集的四个参数根据热带非洲的现场观测进行校准。两个植被径流系统之间的差异比单独考虑植被覆盖变化时更大。这很明显,因为 CN-VIC 严重低估了 MTE 的 GPP;同时,CN-TOP 逆转了这种影响,尤其是在刚果盆地。总体而言,与仅考虑植被覆盖变化时相比,GPP 对植被径流系统更敏感。此外,区域耦合 RegCM4-CLM45-CN-VIC 模型可以模拟具有合理偏差的 GPP,只要 VIC 地表数据集的四个参数根据热带非洲的现场观测进行校准。同时,CN-TOP 逆转了这种影响,尤其是在刚果盆地。总体而言,与仅考虑植被覆盖变化时相比,GPP 对植被径流系统更敏感。此外,区域耦合 RegCM4-CLM45-CN-VIC 模型可以模拟具有合理偏差的 GPP,只要 VIC 地表数据集的四个参数根据热带非洲的现场观测进行校准。同时,CN-TOP 逆转了这种影响,尤其是在刚果盆地。总体而言,与仅考虑植被覆盖变化时相比,GPP 对植被径流系统更敏感。此外,区域耦合 RegCM4-CLM45-CN-VIC 模型可以模拟具有合理偏差的 GPP,只要 VIC 地表数据集的四个参数根据热带非洲的现场观测进行校准。

更新日期:2021-07-06
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