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Sub-hourly rainfall patterns by hyetograph type under distinct climate conditions in Northeast of Brazil: a comparative inference of their key properties

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DataCite Commons2021-03-27 更新2024-07-27 收录
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https://scielo.figshare.com/articles/dataset/Sub-hourly_rainfall_patterns_by_hyetograph_type_under_distinct_climate_conditions_in_Northeast_of_Brazil_a_comparative_inference_of_their_key_properties/7215797
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ABSTRACT The lack of process-based classification procedures may lead to unrealistic hyetograph design due to complex oscillation of rainfall depths when assimilated at high temporal resolutions. Four consecutive years of sub-hourly rainfall data were assimilated in three study areas (Guaraíra, GEB, São João do Cariri, CEB, and Aiuaba, AEB) under distinct climates (very hot semi-arid and tropical wet). This study aimed to define rainfall events (for Minimum Inter-event Time, MIT, and Minimum Rainfall Depth, MRD, equal to 30 min and 1.016 mm, respectively), classify their hyetograph types (rectangular, R, unimodal with left-skewed, UL, right-skewed, UR, and centred peaks, UC, bimodal, B, and shapeless, SL), and compare their key rainfall properties (frequency, duration, depth, rate and peak). A rain pulse aggregation process allowed for reshaping SL-events for six different time spans varying from 2 to 30 min. The results revealed that the coastal area held predominantly R-events (64% events and 49% rainfall depth), in western semi-arid prevailed UL-events (57% events and 63% rainfall depth), whereas in eastern semi-arid mostly were R-events (61% events and 30% rainfall depth) similar to coastal area. It is concluded that each cloud formation type had important effects on hyetograph properties, differentiating them even within the same climate.

摘要 若缺乏基于过程的分类程序,在高时间分辨率下处理降雨数据时,降雨深度会出现复杂振荡,进而导致雨深过程线(hyetograph)的设计脱离实际。本研究针对3个研究区域——瓜赖拉(GEB)、圣若昂-杜卡里里(CEB)、艾乌阿巴(AEB)——采用连续4年的亚小时降雨数据展开分析,这些区域分属极热半干旱与热带湿润两种截然不同的气候类型。 本研究的目标在于:以最小事件间隔时间(Minimum Inter-event Time, MIT)=30分钟、最小降雨深度(Minimum Rainfall Depth, MRD)=1.016毫米为标准界定降雨事件;对其雨深过程线类型进行分类,涵盖矩形(R)、左偏单峰(UL)、右偏单峰(UR)、峰居中单峰(UC)、双峰(B)及无定型(SL)共6类;并对比各类事件的关键降雨特征,包括发生频次、历时、总雨量、降雨强度及峰值。 研究采用降雨脉冲聚合方法,针对2至30分钟共6种不同时间跨度,对无定型(SL)类降雨事件的雨深过程线进行重构。 结果显示:沿海区域以矩形(R)类事件为主,占事件总数的64%,对应降雨量占比49%;西部半干旱区域则以左偏单峰(UL)类事件为主,占事件总数的57%,降雨量占比63%;东部半干旱区域与沿海区域特征相似,同样以矩形(R)类事件为主,占事件总数的61%,对应降雨量占比30%。 研究结论表明,不同云形成类型对雨深过程线特征具有显著影响,即便在同一气候类型下,也能区分出各异的降雨过程线特性。
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SciELO journals
创建时间:
2018-10-17
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