When we think of hydropower, its environmental impacts usually comes to mind: the dams that disrupt ecosystems, the water bodies that shift, the surface evaporation that increases, and the greenhouse gases that escape from reservoirs1. Hydropower, for all its clean energy potential, is not without its environmental baggage, whether on local water resources or the global surface water storage. But ...[Read More]
CrowdWater: A Citizen Science Revolution for Flood Prediction with Machine Learning
CrowdWater is a citizen science project that enables the collection and sharing of water level data on streams and rivers worldwide using virtual scales. As part of the project, a CrowdWater (CW) mobile application was developed that allows users to take and upload geo-referenced photos of water bodies, which are then processed and stored in a global database. CW data provides valuable information ...[Read More]
Behind every robust result is a robust method: Perspectives from a hydrological case study
Scientific studies and mathematical models are increasingly used to guide the management and development of society. But while science and modelling can indeed provide a robust basis for decision making, we must be mindful of two related considerations. First, science is based not on trust but on skepticism, meticulous technique and careful verification. Second, science is not made of absolute tru ...[Read More]
On modelers and modeling
Several studies were conducted and are ongoing where we investigate modelers, modeling decisions and modeling perceptions. Below I discuss the rationale and a summary of the (preliminary) results. Simulation models, conceptualizations of processes into a system of mathematical equations (hereafter simply referred to as models), are frequently used tools in the hydrological sciences. The literature ...[Read More]