Skip to main content
Advanced Search

Filters: Categories: Project (X) > partyWithName: Subhrendu Gangopadhyay (X)

6 results (60ms)   

Filters
Date Range
Extensions
Types
Contacts
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Project involves analyzing datasets using two measures: Spatial similarity of the distributed precipitation and temperature fields of the study datasets Implications on hydrologic modeling We will then provide guidance on the choice of datasets for statistical downscaling of GCM outputs used in different types of scale-dependent planning assessments. We will evaluate these differences from a hydrological standpoint at specific Reclamation basins: Animas at Durango, Colorado; Snake at Heise, Idaho; Sacramento at Redding, California; Salt at Chrysotile, Arizona; Yellowstone River at Billings, Montana; and Colorado River at Lees Ferry Utah and Arizona. The analysis will indicate whether the choice of forcing a...
thumbnail
The Missouri River system is the life-blood of the American Midwest, providing critical water resources that drive the region’s agriculture, industry, hydroelectric power generation, and ecosystems. The basin has a long history of development and diversion of water resources, meaning that streamflow records that reflect natural, unmanaged flows over the past century have been rare. As a result, research on the complex interactions between temperature and precipitation in driving droughts and surface water variability in the Missouri River Basin has lagged behind similar work done in other major basins in the country, and has hindered drought planning efforts. To address this need, researchers will use tree-rings...
Several nonparametric methods are gaining popularity in their use alongside traditional parametric approaches for stochastic simulation of hydrologic variables. However, these stochastic simulations, and the simulation statistics using the nonparametric methods are strongly impacted by two factors: (1) sample size of the historical data, and (2) number of simulations. Theory is well established in traditional parametric statistics to quantify the role of sample and simulation sizes on hydrologic simulation uncertainty. But, there has not been much research in the data-driven nonparametric realm. This research will evaluate the power and uncertainty associated with sample size and number of simulations in nonparametric...
This activity will result in: A white paper listing: (a) Reclamation situations where groundwater interactions with surface water have been or are being assessed, (b) challenges with assessing such interactions under a changing climate, and (c) modeling options for assessing such interactions in a changing climate (highlighting applications of these various model options as conducted by Reclamation or other entities). Establishment of a Groundwater Hydrology Work Group comprised of academics, Water Research Institutes, and Federal agencies to translate white paper issues into a technology development strategy Model intercomparison to explore management-hydrology model integration with simple/complex hydrology...
    map background search result map search result map Understanding How Different Versions of Distributed Historical Weather Data Affect Hydrologic Model Calibration and Climate Projections Downscaling - BOR Project, FY2011 Characterizing Historic Streamflow to Support Drought Planning in the Upper Missouri River Basin Understanding How Different Versions of Distributed Historical Weather Data Affect Hydrologic Model Calibration and Climate Projections Downscaling - BOR Project, FY2011 Characterizing Historic Streamflow to Support Drought Planning in the Upper Missouri River Basin