Search Results

You are looking at 1 - 5 of 5 items for :

  • Human Impact on Climate Extremes for Water Resources Infrastructure Design, Operations, and Risk Management x
  • All content x
Clear All
Tim Bardsley, Andrew Wood, Mike Hobbins, Tracie Kirkham, Laura Briefer, Jeff Niermeyer, and Steven Burian

model”) were chosen because of their existing calibrations for the watersheds of interest available through the CBRFC. The CBRFC model was run within the National Weather Service (NWS) Community Hydrologic Prediction System (CHPS), which is driven by three climatological forcings: mean areal temperature, precipitation, and PET, which are specified for two to three elevation zones in the drainage area of each forecast point. In addition, CBRFC maintains a database of daily naturalized flows developed

Full access
Jinyang Du and Qiang Liu

10.65 GHz from a baseline value in the NASA algorithm; therefore, the inversed soil moisture values are self-consistent and comparable with each other for the same location. The NASA products are adopted to detect the temporal changes of soil moisture. Moreover, the X-band retrievals represent the soil moisture in the 1-cm soil layer, where soil moisture has an immediate response to the atmospheric forcing such as precipitation and evaporation. Therefore, the AMSR-E-derived soil moisture can also

Full access
Wondmagegn Yigzaw, Faisal Hossain, and Alfred Kalyanapu

stationarity assumption implicit in such historical data used for dam design is being challenged ( Woldemichael et al. 2012 ; Yigzaw et al. 2012 ; Degu et al. 2011 ; Douglas and Fairbank 2011 ; Hossain et al. 2011 ; Milly et al. 2008 ; Stedinger and Griffis 2008 ), forcing the consideration of future artificial reservoirs and LULC change in this design process. In a U.S. federal dam design handbook for small dams, the likely combination of both or at least such pathway was reported to be catastrophic

Full access
G. T. Aronica and B. Bonaccorso

medium-high A2 and medium-low B2 scenarios ( Nakícenovíc 2000 ) were used as the global radiative forcing for the performance of the runs with reference to the period between 2013 and 2037, referred to here as 2025. The choice of this period was made by considering that results for this time horizon are more reliable than longer-term climate predictions. 2.3. Stochastic daily rainfall generation model A simple stochastic daily rainfall generator, based on a Markov chain, is developed to derive

Full access
Mohammad Karamouz, Erfan Goharian, and Sara Nazif

modeling the rainfall–runoff process is using the HBV model to calibrate the model by forcing it with observed precipitation and temperature data ( Bergström 1992 ). The Monte Carlo approach is used for model calibration. This method allows the interaction between parameters to be taken into account as whole parameter sets vary, rather than varying individual parameters. Furthermore, simulations yield an ensemble of possible results so expected changes can be expressed as a range rather than a single

Full access