|April 3, 2018||
Data exploration and analysis of hydroclimatic variability in the data-rich eraNearly all natural phenomena are studied by collecting data, creating models and evaluating their efficiency. As there has been an exponential increase in the volume of the accumulated data and the development of physically-based models, there is a growing need to improve our data/model integration framework. This should not be interpreted only as developing the appropriate methodological tools for model-data or inter-model comparison, but most importantly, as the need to enhance our capability in pattern or process recognition under different spatial and temporal scales.
|April, 26 - 27 2018|