LEADER 02471nam 22004453 450 001 9910984660303321 005 20231023084510.0 010 $a9789201189233 010 $a9201189230 035 $a(MiAaPQ)EBC30800238 035 $a(CKB)28530624000041 035 $a(Au-PeEL)EBL30800238 035 $a(Exl-AI)30800238 035 $a(OCoLC)1406412098 035 $a(EXLCZ)9928530624000041 100 $a20231023d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTowards Best Practices in Isotope-Enabled Hydrological Modelling Applications 205 $a1st ed. 210 1$aVienna :$cInternational Atomic Energy Agency,$d2023. 210 4$dİ2023. 215 $a1 online resource (54 pages) 311 08$a9789201190239 330 $aRecognizing the importance for adaptation to the climate change impact on water resources, the IAEA has developed guidelines and recommendations on the selection and application of isotope-enabled hydrological models, which can enhance the predictive power of modelling catchment systems for hydrological forecasting, as well as support more realistic water flux and storage simulations of the natural environment. This publication is designed to support modellers and water managers interested in isotope-enabled modelling. It was developed by isotope hydrologists, data network and modelling specialists from different countries, what shared a unique experience on model selection, modelling objectives, data collection and modelling procedure. Examples of their isotope modelling applications have been provided to give context to the guidelines and recommendations made by this publication, where these examples highlight the versatility of isotopes across a range of different environmental and climate settings. Lessons learned from application of isotope-enabled modelling techniques in each of the diverse climate and water settings are discussed. 606 $aRadioisotopes in hydrology$7Generated by AI 606 $aHydrologic models$7Generated by AI 615 0$aRadioisotopes in hydrology 615 0$aHydrologic models 700 $aIAEA$01594159 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910984660303321 996 $aTowards Best Practices in Isotope-Enabled Hydrological Modelling Applications$94333046 997 $aUNINA