WaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin - user guide V0 202410

Simple item page
cg.contributor.donorCGIAR Trust Funden
cg.contributor.donorLeona M. and Harry B. Helmsley Charitable Trusten
cg.contributor.initiativeDigital Innovation
cg.coverage.countryBotswana
cg.coverage.countryMozambique
cg.coverage.countrySouth Africa
cg.coverage.countryZimbabwe
cg.coverage.iso3166-alpha2BW
cg.coverage.iso3166-alpha2MZ
cg.coverage.iso3166-alpha2ZA
cg.coverage.iso3166-alpha2ZW
cg.coverage.subregionLimpopo River Basin
cg.creator.identifierChris Dickens: 0000-0002-4251-7767en
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135en
cg.creator.identifierMariangel Garcia: 0000-0002-4145-0847en
cg.identifier.iwmilibraryH053459en
cg.placeColombo, Sri Lankaen
cg.river.basinLIMPOPOen
dc.contributor.authorVickneswaran, Keerththananen
dc.contributor.authorRetief, H.en
dc.contributor.authorPadilha, R.en
dc.contributor.authorDickens, Chrisen
dc.contributor.authorSilva, Pauloen
dc.contributor.authorGhosh, Surajiten
dc.contributor.authorGarcia Andarcia, Mariangelen
dc.date.accessioned2025-01-28T14:59:48Zen
dc.date.available2025-01-28T14:59:48Zen
dc.identifier.urihttps://hdl.handle.net/10568/170233
dc.titleWaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin - user guide V0 202410en
dcterms.abstractThe Limpopo Digital Twin Water Management AI Virtual Assistant User Guide provides a practical guide for users to effectively navigate WaterCopilot, an AIpowered Copilot developed by the International Water Management Institute (IWMI) in collaboration with Microsoft Research. This guide offers clear instructions on using the Copilot to access crucial water-related data for the Limpopo River Basin, including rainfall insights, environmental flow alerts, and water availability. The guide highlights key features such as a userfriendly interface, multilingual support, and interactive data retrieval, making WaterCopilot accessible to a broad range of users, from researchers and policymakers to individuals with limited technical expertise. It also explains the Copilot’s ability to analyze historical and real-time data, helping users identify patterns and make informed decisions. In addition, the user guide includes troubleshooting tips and a frequently asked questions (FAQs) section, ensuring a smooth and efficient user experience. By following this guide, users will be empowered to leverage WaterCopilot for sustainable water management within the Limpopo River Basin.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationVickneswaran, K.; Retief, H.; Padilha, R.; Dickens, C.; Silva, P.; Ghosh, S.; Garcia Andarcia, M. 2024. WaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin - user guide V0 202410. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 10p.en
dcterms.extent10p.en
dcterms.issued2024-12-30en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Water Management Institute (IWMI). CGIAR Initiative on Digital Innovationen
dcterms.subjectartificial intelligenceen
dcterms.subjectmodelsen
dcterms.subjectwater managementen
dcterms.subjectriver basinsen
dcterms.subjectforecastingen
dcterms.typeReport

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
WaterCopilot - A water management AI for the Limpopo River Basin Digital Twin - user guide V0 202410.pdf
Size:
6.27 MB
Format:
Adobe Portable Document Format
Description:
Download full publication
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

IWMI Reports
CGIAR Initiative on Digital Innovation
Water Futures Data and Analytics (WFDA)