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Assessing the Impact of Indian Irrigation on Precipitation in the Irrigation-Enabled Community Earth System Model

机译:评估印度灌溉对支持灌溉群落地球系统模型中降水的影响

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Global climate models are beginning to include explicit treatments of irrigation to investigate the coupling between human water use and the natural hydrologic cycle. However, differences in the formulation of irrigation schemes have produced inconsistent results, and thus the impact of irrigation on the climate system remains uncertain. To better understand the influence of irrigation on precipitation, the authors analyze simulations from the irrigation-enabled Community Land Model, version 4 (CLM4), where irrigation is applied only over a region centered on India. The addition of irrigation to the land surface has the anticipated consequence of increasing evapotranspiration locally, despite issues revealed in CLM4 of unrealistically high partitioning of irrigation water to surface runoff and unrealistically fast water drainage through the soil column. These limitations highlight a need to observationally constrain and simultaneously optimize irrigation, runoff, drainage, and evapotranspiration. Nonlocal precipitation changes as a result of Indian irrigation during the premonsoon season are examined through a hindcast framework that reveals robust hydrologic teleconnections to parts of the Arabian Sea, Bay of Bengal, and Japan on short lead times, but with strong dependence on initial synoptic conditions. On longer time scales, many of these teleconnections to Indian irrigation are easily shrouded by internal variability, but a potential geographic action center remains over the meiyu-baiu rainband indicative of a nonlocal bridge mechanism. Many of the sensitivities identified here are distinct from other global models, emphasizing the need for carefully designed irrigation-intercomparison studies.
机译:全球气候模型开始包括明确的灌溉治疗,以研究人用水与天然水文循环之间的耦合。然而,灌溉方案的制定的差异产生了不一致的结果,因此灌溉对气候系统的影响仍然不确定。为了更好地了解灌溉对降水的影响,作者分析了支持灌溉的群落土地模型,版本4(CLM4)的模拟,其中灌溉仅在以印度为中心的地区应用。尽管CLM4在灌溉水的不切实际的高分布中揭示了地表径流和通过土壤柱的不切实际快速排水,但灌溉对土地表面的灌溉的预期后果局部增加了局部地区,尽管在灌溉水的不切实际的高度分区中显示出来。这些限制突出了需要观察和同时优化灌溉,径流,排水和蒸发的需要。由于印度灌溉过程中的非局部降水发生在预防赛季通过一个Hindcast框架检查,揭示了对阿拉伯海湾,孟加拉海湾和日本的稳健的水文遥感,以及短时间内的,但对初始舞台条件有很强的依赖。在较长的时间尺度上,许多这些电信连接到印度灌溉很容易受到内部变异性覆盖的,但潜在的地理作用中心仍然是梅雨雨筋,指示非本体桥梁机制。这里识别的许多敏感性与其他全球模型不同,强调需要精心设计的灌溉互相研究。

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