Reconstructing Spatiotemporal Dynamics in Hydrological State Along Intermittent Rivers

Despite the impact of flow cessation on aquatic ecology, hydrology intermittent rivers has been largely overlooked. This resulted in a lack monitoring projects, and consequently, datasets spanning period sufficient duration to characterise both hydrological extremes. report documents an investigation into potential for statistical modelling simulate spatiotemporal dynamics flowing, ponded dry states internationally rare state dataset. The models presented predict unrecorded data with performance metrics exceeding 95%, providing insights relationship between ponding prevalence simulation this ecologically important intermediate drying flowing conditions. work demonstrates intermittence be simulated areas where are often sparse, opportunities quality control infilling. further understanding processes driving will inform future water resource assessments influence climate change intermittence.