Keywords: Distributed hydrologic model Rainfall runoff Hillslope routing Channel routing Streamflow simulation Lumped model s u m m a r y The Office of Hydrologic Development (OHD) of the National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS) conducted the second phase of the Distributed Model Intercom-parison Project (DMIP 2). After DMIP 1, the NWS recognized t...

Joshua Peschel, Texas A&M University JOSHUA M. PESCHEL is a PhD student in Civil Engineering at Texas A&M University. He received the BS in Biological Systems Engineering and the MS in Biological & Agricultural Engineering, also from Texas A&M. His current research interests include unsaturated soil water transport, spatially-distributed hydrologic modeling, and emerging technologies in enginee...

Matching ERS scatterometer based soil moisture patterns with simulations of a conceptual dual layer hydrologic model over Austria J. Parajka, V. Naeimi, G. Blöschl, and J. Komma Institute for Hydraulic and Water Resources Engineering, Vienna University of Technology, Vienna, Austria Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Vienna, Austria on leave from: I...

Soil moisture monitoring and the characterization of the spatial and temporal variability of this hydrologic parameter at scales from small catchments to large river basins continues to receive much attention, reflecting its critical role in subsurface – land surface – atmosphere interactions and its importance to drought analysis, crop yield forecasting, irrigation planning, flood protection, ...

The aim of this study is to estimate runoff in Wadi Ba Al Arid watershed for a period of ten years 2009-2018 by  Soil Conservation Service  Curve Number (SCS-CN) method in combination with the GIS techniques using remote sensing data. The used data are the daily rainfall data from NASA Prediction of Worldwide Energy Resource (POWER), digital elevation data (DEM) from ALOS PALSAR RTC , satellite...

Droughts can be characterized by their severity, frequency and duration, and areal extent. Depth-area-duration analysis, widely used to characterize precipitation extremes, provides a basis for evaluation of drought severity when storm depth is replaced by an appropriate measure of drought severity. We used gridded precipitation and temperature data to force a physically-based macroscale hydrol...

Increased droughts due to regional shifts in temperature and rainfall regimes are likely to affect forests in temperate regions in the coming decades. To assess their consequences for forest dynamics, we need predictive tools that couple hydrologic processes, soil moisture dynamics and plant productivity. Here, we developed and tested a dynamic forest model that predicts the hydrologic balance ...

Desert pavement is a distinctive feature widespread across arid lands of the world. It plays a dynamic role in geomorphic, hydrologic, and ecologic processes. Where desert pavement predominates, infiltration is limited and rainfall is delivered as runoff to nearby bare ground areas where shrubs cluster. Desert pavement surfaces may appear monotonously flat and barren, but we have found, instead...

This paper examines the subject of hydrologic variability and its changes in two separate integrations of a coupled ocean-atmosphere general circulation model developed at the Geophysical Fluid Dynamics Laboratory/NOAA assuming a 1% per year increase to a doubling and quadrupling of CO2, respectively. Changes in time mean state and variability of precipitation, runoff and soil moisture are eval...

With the development of large-scale hydrologic modeling, computational efficiency is becoming more and more important. Rapid modeling and analysis are needed to deal with emergency environmental disasters. The Soil and Water Assessment Tool (SWAT) is a popular hydrologic model, which is less applied in large-scale watershed simulation because of its sequential characteristics. For improving the...