Since decades we are working on this aspect with plethora of models, modelers and projects at global scale. Still unit hydrograph, SCS CN and other synthetic means are appearing good enough or atleast base tools/methods. Reason is lack of real field data & commitment at micro scale. Every researcher prefer to work on a table placed in AC room and conducting experimental or other efforts in numerical form with end target of a publication in high impact journal. This weakness of micro level real data and real exposures to ground conditions, and a fear of loosing time & diluted research publication , keep away most researcher away from this challenging difficult task. This is the probable reason in my way of thinking , why even the best rainfall-runoff  models are giving equally bad answers/simulations what we get from simpler model, but here it is at higher costs. Researchers are shifting their attention towards high tech water balance water budgeting kind of phenomenon  excluding runoff overland component and getting more concentrated on remotely estimated other hydro logical constituents   like transpiration evapotranspiration moisture that too via setelite remote or sensors. Some time calling rainfall runoff modeling as ' gone era of hydrological research'  I personally feel disappointed with such kind of views. As on day, I am confident enough that even we are not in a position    to accurately define or parametrise the loss function in a rainfall runoff modeling and choose its value in very arbitrary manner, what to say about runoff prediction capabilities. Jumping towards a comfort zone just to be concentrated on publication and leaving aside understanding real ground schenerios is what I consider very much worrying situation what I guess/realize.

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