Multi-Directional Knowledge & Practice Transfer
Gaps around collaboration and the sharing of information across disciplines, agencies, and at-risk communities, as well as the exploration of two-way coupling of models in physical sciences.
(Fisher & Koven, 2020; Pagano et al., 2014; Potter et al. 2021)
Prediction Integration
Involves the exploration of integrating various models, observations, forecasting tools and techniques in research and operations, taking into consideration uncertainty that arises through this cascade of integration
(Abbaszadeh et al., 2022; Imhoff et al., 2020; Pappenberger et al., 2005; Zappa et al., 2011)
Generalizability Of Research Findings
The extent to which findings from research conducted in specific locations, sectors, and contexts (e.g. different land use types, catchment characteristics and population levels) can be compared to other contexts
(Berghuijs et al., 2017; Donovan et al., 2015; Kuller et al., 2021; Lesch et al., 2009; Scolobig et al., 2015)
Increased Data Inputs & Access
Includes the use of alternate data collection and estimation methods and techniques to overcome limitations to data availability, as well as the increased accessibility of data throughout the warning “chain”
(Kidd et al., 2017; Selker et al., 2020; Songchon et al., 2023; Tan et al., 2022)