As it did for DMIP 1, the NWS sought the input and contributions from the hydrologic research community.
Understanding the spatio-temporal nature of change in hydrologic processes, and the explicit contributions from both climate and land use drivers, holds more practical value for water resources management and policy intervention.
Mountainous headwaters include a variety of spatial landscape units; however, the flow contribution from different hydrologic components is complex and often unclear.
Quantification of the contribution of the hydrologic components (snow, ice and rain) to river discharge in the Hindu Kush Himalayan (HKH) region is important for decision-making in water sensitive sectors, and for water resources management and flood risk reduction.
Despite its importance little is known about the proper quantification of snow cover extent and snow water equivalent (SWE), as well as the snow contribution to the hydrologic budget at the national scale.
This paper describes an integrated modeling system developed using downscaled NASA satellite based and earth system data products coupled with in-situ hydrologic data to assess the contribution of snow and glaciers to the flows of the rivers in the HKH region.
Regional contributions to the terrestrial hydrologic budget, however, have been far from constant in the past as distribution of vegetation changed dramatically.
The chemistry of natural water is highly dependent on its geologic and hydrologic origins, as well as its biological contributions.
We describe the design and architecture of HydroDesktop, its novel contributions in web services-based hydrologic data search and discovery, and its unique extensibility interface that enables developers to create custom data analysis and visualization plug-ins.
Climate change, land-use change and in-stream river engineering affect trends in river discharges and river stages, and distinguishing such overlapping contributions is a major challenge in hydrologic time-series analysis.
