Stream network dynamics of non‐perennial rivers: Insights from integrated surface‐subsurface hydrological modeling of two virtual catchments

F Zanetti, G Botter, M Camporese - Water Resources Research, 2024 - Wiley Online Library
Understanding the spatio‐temporal dynamics of runoff generation in headwater catchments
is challenging, due to the intermittent and fragmented nature of surface flows. The active …

Berkeley‐RWAWC: A new CYGNSS‐based watermask unveils unique observations of seasonal dynamics in the tropics

T Pu, C Gerlein‐Safdi, Y **ong, M Li… - Water Resources …, 2024 - Wiley Online Library
Abstract The UC Berkeley Random Walk Algorithm WaterMask from CYGNSS (Berkeley‐
RWAWC) is a new data product designed to address the challenges of monitoring …

How do different runoff generation mechanisms drive stream network dynamics? Insights from physics‐based modelling

F Zanetti, M Camporese, G Botter - Hydrological Processes, 2024 - Wiley Online Library
Non‐perennial river catchments are characterized by an ever‐changing spatial
configuration of their flowing streams. A combination of empirical data and simplified …

Enhanced understanding of hydrological connectivity among lakes on the Qiangtang Plateau

Y Li, C Huang, N Wang, Y Chen, S Zhang… - International Journal of …, 2025 - Taylor & Francis
Accurate catchment delineation and lake connectivity assessment are crucial for
understanding hydrological conditions and managing water resources. However, the …

Stochastic volatility model with long memory for water quantity-quality dynamics

H Yoshioka, Y Yoshioka - arxiv preprint arxiv:2501.03725, 2025 - arxiv.org
Water quantity and quality are vital indices for assessing fluvial environments. These indices
are highly variable over time and include sub-exponential memory, where the influences of …

Variable extent of channel network in small river basin

JC Kim, CL Jang, W Lee - Journal of Korea Water Resources …, 2024 - koreascience.kr
This paper aims to delineate the variable extent of channel networks for the Seolma Creek
experimental basin. To this end, various channel networks are extracted from the digital …

[PDF][PDF] Combining citizen science data and the hierarchical structuring of temporary streams to reconstruct the patterns of channel wetting and drying

M Scheller, N Durighetto, I van Meerveld… - EGU General Assembly …, 2024 - egu.eu
Combining citizen science data and the hierarchical structuring of temporary streams to
reconstruct the patterns of channel wett Page 1 Days 402 402 791 Observations 4,360 14,695 …