In this course, we will discuss the components of the climate system individually as well as the interactions between them. The fundamental principle used in climate modelling will be covered. Model uncertainty and sensitivity will be discussed. Most importantly, participants will be able to distinguish between the lumped model and distributed models.   These hands-on experiences might be useful to understand the problems in the state of the art climate models and different types of complexities in climate model hierarchy.  The application of this course cover the following areas: Watershed modelling, hydrological calculations for hydraulic structure constructions like bridges and dams, Flood-frequency studies, Urban flooding studies most importantly, climate change impact assessment on water resources and water quality modelling ( e.g. sediment, nutrient, bacterial fate and transport from land to watershed).

Hydrometeorology is a border line science linking meteorology—the science of atmosphere—with hydrology—the science of water of the earth and earth’s atmosphere. This course will provide a planetary view of interactions among meteorology, hydrology and climate. This course includes Earth’s climate system, Earth rotation and seasons, Oceanic and atmospheric circulation, weather and climate extremes with focus on the water cycle and how water exists in liquid, solid and vapor phases, and how continuous movement of water take place within the surface subsurface-atmosphere. Additionally, the course addresses topics including cloud and precipitation formation, the mechanisms involved in extreme precipitation (convective precipitation, non-convective precipitation, ice, and snow) evapotranspiration, drought, and floods. These topics are further covered as related to local versus regional, versus global scales and how these processes impact human systems.

Satellites have been systematically collecting scientific measurements and imagery of our changing planet for more than 40 years, yet until recently this treasure trove of “big data” has not been online and readily available for high-performance data mining. The Google Earth Engine (https://earthengine.google.com/) platforms were developed to facilitate “turning pixels to knowledge” at local to global scales for societal benefit. The engine hosts online multi-Peta pixel public data catalog, updating daily, together with tools that support massively parallel spatial analysis on datasets such as satellite and aerial imagery, weather and climate. During the workshop, participants will analyze and interact with earth observation datasets for decision support related to water use, agricultural, drought. Following topics will be covered