Skip to main content

Person

Julie E Kiang

Chief, Analysis and Prediction Branch

Office of the Chief Operating Officer

Email: jkiang@usgs.gov
Office Phone: 703-648-5364
Fax: 703-648-6693
ORCID: 0000-0003-0653-4225

Location
12201 Sunrise Valley Drive
Reston , VA 20192-0002
US

Supervisor: John W Brakebill
thumbnail
There has been increasing attention placed on the need for water availability information at ungauged locations, particularly related to balancing human and ecological needs for water. Critical to assessing water availability is the necessity for daily streamflow time series; however, most of the rivers in the United States are ungauged. This proposal leverages over $1M currently allocated to the USGS National Water Census Program towards developing an integrated modeling approach to estimate daily streamflow at ungauged locations, with the ultimate goal of providing daily streamflow estimates at 160,000 ungauged catchments across the United States. By assembling a diverse and prolific group of international scientists,...
thumbnail
This data release replicates the methods detailed in the 2017 publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning" for a different data set. The original data set and the associated readme file for the model archive can be viewed here: https://doi.org/10.5066/F7CR5S4T. The original data set contained streamflow data for sites located in South Carolina, Georgia, and Alabama. The data set used in this data release is for 6 states in the Southern Midwest U.S.A. The datafile contains the annual minimum seven-day mean streamflow with an annual exceedance probability of 90% (7Q10) for 173 basins in Arkansas (AR), Iowa (IA), Kansas (KS), Missouri (MO), Nebraska...
thumbnail
This data set contains U.S. Geological Survey (USGS) streamgage identification numbers, begin and end years of the periods of streamflow record tested, Sen slope trends in the annual minimum 7-day streamflow for the period of record tested, the p-values (significance) of the trends, and the trend Sen slopes standardized by the standard deviations of the residual errors defined as the difference between observations and the Sen slope lines, for 174 USGS streamgages with 56 to 75 years of record in the Chesapeake Bay watershed, Mid-Atlantic U.S.
thumbnail
In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from a catchment hydrology community perspective, provides a review of progress in each community toward this achievement, identifies common challenges the communities face, and details immediate and specific areas in which these communities can mutually benefit one another from the convergence of their research perspectives....
Categories: Publication; Types: Citation
thumbnail
This dataset contains the observed and simulated streamflow used to produce the results of the journal article entitled “Bias correction of Retrospective Simulation of Daily Streamflow at Ungauged Locations Using Independently Estimated Flow-Duration Curves ”. Observed streamflow, retrieved from the U.S. Geological Survey’s National Water Information System (https://waterdata.usgs.gov/nwis) in Spring of 2017, is included in comma-separated-values files (CSVs) as cubic feet per second. These CSVs also contain computed nonexceedance probabilities and streamflows estimated with pooled, ordinary kriging, with and without bias correction. CSVs of streamflow duration curves (fdc) are also provided. A streamflow and fdc...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.