Navigating the complexities of global and local water resources challenges requires collaboration and mutual learning among diverse knowledge systems and disciplines. However, Western philosophical approaches to generating knowledge have prevailed in water management and hydrology, often overlooking community priorities, practices and perspectives, and power asymmetries - including gender inequalities, racism, and colonial injustices. In this perspective paper, we explore the co-creation of water knowledge (CCWK) concept to value multiple and diverse forms of knowledge. We identify four overarching principles (inclusivity, openness, legitimacy, and actionability), highlighting the importance of establishing relationships and collaborative leadership, adopting key tools and techniques, and integrating knowledge for water resources management. Furthermore, we argue that prioritizing epistemic justice is essential for effective CCWK. To address these, we advocate for more interdisciplinary and reflexive research practices that challenge and disrupt Western scientific traditions shaped by functionalist and colonial legacies.

Droughts have an increasing impact on the entire European continent. As the frequency and intensity of droughts rise in many parts of Europe, the implementation of effective drought adaptation and mitigation strategies becomes increasingly important. However, it is not known how diverse tools are used in drought management with increasing drought severity. This study explores the role of Decision Support Tools (DSTs) in strategic and operational drought management in the Netherlands. Through a survey among national and regional water authorities, this study shows the increasing reliance of water managers on field measurements, Data Information Systems (DISs), stakeholder consultation, and legislation with increasing drought severity. Weather forecasts and expert knowledge remain important throughout all drought management phases. Despite the increased use of DISs with drought severity, the use of hydrological models does not follow the same trend. DISs, which often incorporate hydrological models, reveal a ‘hidden’ use of these models. Rather than serving as ‘key artifacts’ for modelers, they become active ‘participants’ in broader data systems during advanced phases of drought management. All these aspects influence key responsibilities in model use including appropriateness and transferability, reproducibility, and transparency. These factors are critical to consider when aiming to bridge the gap between science and policy in the application and development of DSTs.