To evaluate policies to reduce greenhouse-gas emissions, economic models require estimates of how future climate change will affect well-being. So far, nearly all estimates of the economic impacts of future warming have been developed by combining estimates of impacts in individual sectors of the economy. Recent work has used variation in warming over time and space to produce top-down estimates of how past climate and weather shocks have affected economic output.

https://www.nature.com/nclimate/journal/v6/n1/full/nclimate2759.html

Scale is important in modeling; this is related to "scale effects in hydrological modelling: impact of temporal data resolution and detailing on hydrological modelling." This will work for your study!

See some researches which examine time scale effects.

Gebiaw

Dear Ivan Toloni,

Predicting the impact of climate change and human activities on river systems is imperative. Unique information can be derived that is critical to the survival of aquatic species under dynamic environmental conditions.

Anyhow, more detail can be found from following links

https://www.climateprediction.net/climate-science/glossary/time-steps/

http://library.open.oregonstate.edu/climatechange/chapter/models/

Thanks!

Dear Ivan, the proper time step selection is initially dependant to the temporal resolution of your input data (frequency of the boundary condition for example). Regardless of that, and as a general rule, shorter time steps are used to fully capture the uncertainty (e.g. daily, or weekly). However, shorter time steps may require performing flow routing, especially for surface water hydrology and if pumped water from aquifer needs to reach a certain location at a certain distance.