Challenges to and good practices for environmental DSS development

Brian S. McIntosh^{a, b}, Jim Ascough^c, Serena Chen^d, Jimmie Chew^e, Susan Cuddy^f, Amgad Elmahdi^g, Dagmar Haase^h, Julien Harouⁱ, Daryl Hepting^j, Tony Jakeman^d, Ayalew Kassahun^k, Sven Lautenbach^l, Keith Matthews^m, Wendy Merritt^d, Nigel Quinnⁿ, Ignasi Rodriguez-Roda^o, Stefan Sieber^p, Marten Stavenga^q, Andrea Sulis^r, Jenifer Ticehurst^d, Mark Twery^s, Martin Volk^l, Markus Wrobel^t

^aCentre for Water Science, Cranfield University, Bedfordshire, UK
^bInternational Water Centre, Brisbane, Queensland, Australia
^c
d
e
f
gClimate and Water Division, Bureau of Meteorology(BOM), Melbourne, Australia.
^h
i
jDepartment of Computer Science, University of Regina, Canada.
^k
lUFZ, Helmholtz Centre for Environmental Research, Leipzig, Germany
^mMacaulay Land Use Research Institute, Aberdeen, UK
ⁿBerkeley National Laboratory, Berkeley, California, USA
^oCatalan Institute for Water Research (ICRA), Girona, Spain
^p
q
rDepartment of Land Engineering, University of Cagliari, CA, Italy
^sUSDA Forest Service, Northern Research Station, Burlington, VT, USA
^t Potsdam Institute for Climate Impact Research

Abstract

Introduction - DSS premise and promise

Key challenges faced by EDSS developers

Good practice recommendations for EDSS developers

Conclusions

Acknowledgements

References

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