{"capabilities":"The SUNRISE Flood Frequency Estimation App is a Shiny app data explorer tool which allows users to select a location, and a flood frequency curve will be shown corresponding to the nearest station, either geographically or downstream along the river network. Along with this are presented key catchment descriptors such as area, aspect and mean annual rainfall.  The flood frequency curve shows the relationship between the rarity of a flood (known as return period), and the amount of flow in a flood (measured in cubic metres per second).","description":"The purpose of the SUNRISE Flood Frequency Estimation App is to provide a method of flood frequency estimation within the Godavari and Krishna river basins, focusing on Maharashtra state.","fundingSources":"The SUNRISE Flood Frequency Estimation App was supported by the Natural Environment Research Council as part of the SUNRISE Overseas Development Activity programme delivering National Capability.","id":"d5d3d389-5921-4aab-9973-87771027d5e4","infrastructureCategory":{"value":"data","description":"Environmental data and information","infrastructureClass":"Digital infrastructures","uri":"http://vocabs.ceh.ac.uk/ri/data"},"lifecycle":"The SUNRISE Flood Frequency Estimation App was released in 2021","locationText":"Led from UKCEH Wallingford, data covers Godavari and Krishna river basins, focusing on Maharashtra state, India","metadataDate":"2026-01-19T16:16:25","onlineResources":[{"url":"https://shiny-apps.ceh.ac.uk/mah-flood-frequency/","function":"website","type":"OTHER"},{"url":"https://eidc.ceh.ac.uk/images/browsegraphics/sunrise_logo.png","name":"sunrise logo","function":"browseGraphic","type":"OTHER"}],"owners":[{"displayName":"Adam Griffin","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"owner","email":"enquiries@ceh.ac.uk","address":{"city":"Wallingford"},"fullName":"Adam Griffin"}],"partners":"This work was undertaken with help from colleagues at IIT Bombay. Daily river flow data was used via the India-WRIS website showing data from the CWC. Landuse data came from Harmonised World Soil Database, rainfall data is based on the CFSR and soil permeability is based on the SQ4 statistic in the Harmonised World Soil Database.","resourceIdentifiers":[{"code":"https://catalogue.ceh.ac.uk/id/d5d3d389-5921-4aab-9973-87771027d5e4"}],"scienceArea":"Hydro-climate Risks","title":"SUNRISE Flood Frequency Estimation App","type":"infrastructureRecord","uniqueness":"Cohesive, harmonised approach to flood frequency estimation across Godavari and Krishna river basins for a full range of return periods, in an interactive way that doesn't require additional software to engage with.","uri":"https://catalogue.ceh.ac.uk/id/d5d3d389-5921-4aab-9973-87771027d5e4","users":["Consultants and civil engineers, training engineering and hydrology students in flood frequency estimation and its applications"]}