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Table 1

Country-level summary of results of the Delphi survey with water resources professionals

TopicGhanaJamaicaUK
Abilities Strong abilities in modelling and weak in data/databases and decision making Lowest ability in modelling Strong abilities in databases and modelling, weak in data collection/decision making 
Data types All data types rated high. Demand, effective rainfall and groundwater deemed least important All data types rated high. Infiltration data rated high All data types rated high. River level least important 
Data access Highest for river flow, lowest for infiltration Lowest for infiltration Highest for reservoirs, lowest for infiltration 
Tools High use of GIS and MCA High use of GIS and Excel-based GIS plus some proprietary (most variety) 
Trying new tools Preference for decision making (R1) shifted to models (R2) Preference for data collection, then models Preference for data, then models (R1) shifted to models, then data (R2) 
Impact of data access Affects future capacity assessment most, but all functions affected Affects policy, future capacity and planning for uncertainty Affects future capacity and planning for uncertainty 
Impact of model access Affects planning for uncertainty, then policy. Poverty reduction least affected Affects all functions – links between data and models required further consideration Affects planning for uncertainty and food security 
Impact of decision making access Affects policy and conflict resolution, then planning, food and poverty Affects current and future capacity Affects planning for uncertainty, least affects current capacity and public health 
Biggest threats Climate change, infrastructure lack, population growth Funding of basic and complex water resources functions Lack of political will, then climate change and population growth 
Interventions – highest priority Collaborative research Review existing and develop new policy Review existing and develop new policy; Collaborative research 
TopicGhanaJamaicaUK
Abilities Strong abilities in modelling and weak in data/databases and decision making Lowest ability in modelling Strong abilities in databases and modelling, weak in data collection/decision making 
Data types All data types rated high. Demand, effective rainfall and groundwater deemed least important All data types rated high. Infiltration data rated high All data types rated high. River level least important 
Data access Highest for river flow, lowest for infiltration Lowest for infiltration Highest for reservoirs, lowest for infiltration 
Tools High use of GIS and MCA High use of GIS and Excel-based GIS plus some proprietary (most variety) 
Trying new tools Preference for decision making (R1) shifted to models (R2) Preference for data collection, then models Preference for data, then models (R1) shifted to models, then data (R2) 
Impact of data access Affects future capacity assessment most, but all functions affected Affects policy, future capacity and planning for uncertainty Affects future capacity and planning for uncertainty 
Impact of model access Affects planning for uncertainty, then policy. Poverty reduction least affected Affects all functions – links between data and models required further consideration Affects planning for uncertainty and food security 
Impact of decision making access Affects policy and conflict resolution, then planning, food and poverty Affects current and future capacity Affects planning for uncertainty, least affects current capacity and public health 
Biggest threats Climate change, infrastructure lack, population growth Funding of basic and complex water resources functions Lack of political will, then climate change and population growth 
Interventions – highest priority Collaborative research Review existing and develop new policy Review existing and develop new policy; Collaborative research 

GIS, geographical information systems; MCA, multi-criteria analysis; R1, round 1; R2, round 2.

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