Iklimpola

Iklimpola is a term used in some Indonesian-language climate discourse to describe the study and characterization of climate patterns across regions and over time. The word combines iklim (climate) and pola (pattern) and does not have a single, formal definition in the international scientific community. In practice, iklimpola refers to approaches that identify spatial-temporal patterns in variables such as temperature, precipitation, and extreme events, often by applying statistical methods and climate model outputs to detect regimes, shifts, and teleconnections.

Origins and usage of the term vary by author and project. It began to appear in regional meteorological and academic contexts in the late 2010s and early 2020s as a colloquial label for pattern-based climate analysis. It is not an official category in major meteorological agencies, and its precise meaning can differ between studies.

Methodologies associated with iklimpola typically include principal component analysis or empirical orthogonal functions, cluster analysis, time-series decomposition, and wavelet analysis, sometimes in combination with ensemble climate-model projections. The aim is to uncover stable patterns and their changes under different climatic forcings, as well as to assess regional sensitivity to global trends.

Applications of iklimpola concepts lie in risk assessment, agricultural planning, water resource management, and disaster preparedness. By translating identified climate patterns into regional forecasts or scenario planning, practitioners seek to support decision-making under changing conditions. Related concepts include climate pattern analysis, atmospheric teleconnections such as ENSO, and standard data-methods like PCA and EOF; however, iklimpola remains an informal label without universal methodological standard.