# Floods Floods are natural hydrological events characterized by an overflow of water onto typically dry land, often resulting from excessive rainfall, snowmelt, or the breaching of artificial barriers. These phenomena can significantly impact ecosystems, infrastructure, and human settlements, necessitating effective management and preparedness. Floods vary in duration and intensity, influenced by geographical and climatic conditions. In relation to data, analyzing historical and real-time hydrological data is essential for predicting flood occurrences and assessing risk. Through sophisticated data modeling, authorities can develop informed strategies to mitigate flood damage, enhancing resilience and ensuring the safety of affected communities. For more information about recent floods research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Floods) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Floods) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Floods) Our research team, partners, and the extended Network of the Datasphere have identified the following organizations working at the intersection of data or data governance and floods. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.