用爪哇甘美兰音阶把厄尔尼诺数据变声音，看能否保留气候混沌特征。
Preliminary sonification of ENSO using traditional Javanese gamelan scales
- 把厄尔尼诺指数映射到两种甘美兰音阶，生成四类音乐
- 音轨在二维声相空间中展现高重复率和广域探索，对应气候周期性
- 甘美兰音阶差异导致声音亮度与能量关系不同，适合跨文化气候表达研究
声化（Sonification）——将数据映射为非语音音频——为复杂动力系统提供了尚未充分探索的表达渠道。我们以厄尔尼诺-南方涛动（ENSO）为例，这是一个典型的低维气候混沌系统，采用基于复杂系统诊断的文化情境化声化方法进行评估。利用1870—2024年尼诺3.4海表温度异常指数的参数映射声化，将ENSO变异性编码至两种传统爪哇甘美兰五声音阶（pelog 和 slendro），通过四种创作策略生成音频，再分析其作为二维声相空间轨迹的表现。基于递归的诊断、凸包几何与耦合分析显示，该声化流程保留了关键动力学特征：交替模式产生最高轨迹重复率，呼应ENSO的准周期性；层叠复调模式覆盖最广的相空间区域；两种音阶体系引致谱亮度与能量间定性不同的耦合状态——pelog中呈主要反相关，slendro中则近乎独立。相空间轨迹分析为在复杂系统语境下比较声化设计提供了严谨的几何框架。感知验证仍需开展，本文贡献的是用于评估此类映射的动力系统方法论。
原文摘要 · Abstract (English)
Sonification -- the mapping of data to non-speech audio -- offers an underexplored channel for representing complex dynamical systems. We treat El Niño-Southern Oscillation (ENSO), a canonical example of low-dimensional climate chaos, as a test case for culturally-situated sonification evaluated through complex systems diagnostics. Using parameter-mapping sonification of the Niño 3.4 sea surface temperature anomaly index (1870--2024), we encode ENSO variability into two traditional Javanese gamelan pentatonic systems (pelog and slendro) across four composition strategies, then analyze the resulting audio as trajectories in a two-dimensional acoustic phase space. Recurrence-based diagnostics, convex hull geometry, and coupling analysis reveal that the sonification pipeline preserves key dynamical signatures: alternating modes produce the highest trajectory recurrence rates, echoing ENSO's quasi-periodicity; layered polyphonic modes explore the broadest phase space regions; and the two scale families induce qualitatively distinct coupling regimes between spectral brightness and energy -- predominantly anti-phase in pelog but near-independent in slendro. Phase space trajectory analysis provides a rigorous geometric framework for comparing sonification designs within a complex systems context. Perceptual validation remains necessary; we contribute the dynamical systems methodology for evaluating such mappings.
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