scholarly journals Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds

2015 ◽  
Author(s):  
William H. Farmer ◽  
Rodney R. Knight ◽  
David A. Eash ◽  
Kasey J. Hutchinson ◽  
S. Mike Linhart ◽  
...  
Keyword(s):  
Time Series ◽  
Rainfall Runoff ◽  
Daily Streamflow ◽  
Des Moines ◽  
Daily Streamflow Time Series

scholarly journals Ordinary kriging as a tool to estimate historical daily streamflow records

2016 ◽  
Vol 20 (7) ◽  
pp. 2721-2735 ◽  
Author(s):  
William H. Farmer
Keyword(s):  
Time Series ◽  
Ordinary Kriging ◽  
Order Approximation ◽  
Superior Performance ◽  
Daily Streamflow ◽  
History Of ◽  
First Order Approximation ◽  
And Behavior ◽  
Kriging Approach ◽  
Daily Streamflow Time Series

Abstract. Efficient and responsible management of water resources relies on accurate streamflow records. However, many watersheds are ungaged, limiting the ability to assess and understand local hydrology. Several tools have been developed to alleviate this data scarcity, but few provide continuous daily streamflow records at individual streamgages within an entire region. Building on the history of hydrologic mapping, ordinary kriging was extended to predict daily streamflow time series on a regional basis. Pooling parameters to estimate a single, time-invariant characterization of spatial semivariance structure is shown to produce accurate reproduction of streamflow. This approach is contrasted with a time-varying series of variograms, representing the temporal evolution and behavior of the spatial semivariance structure. Furthermore, the ordinary kriging approach is shown to produce more accurate time series than more common, single-index hydrologic transfers. A comparison between topological kriging and ordinary kriging is less definitive, showing the ordinary kriging approach to be significantly inferior in terms of Nash–Sutcliffe model efficiencies while maintaining significantly superior performance measured by root mean squared errors. Given the similarity of performance and the computational efficiency of ordinary kriging, it is concluded that ordinary kriging is useful for first-order approximation of daily streamflow time series in ungaged watersheds.

scholarly journals Gap-filling of daily streamflow time series using Direct Sampling in various hydroclimatic settings

2019 ◽  
Vol 569 ◽  
pp. 573-586 ◽  
Author(s):  
Moctar Dembélé ◽  
Fabio Oriani ◽  
Jacob Tumbulto ◽  
Grégoire Mariéthoz ◽  
Bettina Schaefli
Keyword(s):  
Time Series ◽  
Gap Filling ◽  
Daily Streamflow ◽  
Direct Sampling ◽  
Daily Streamflow Time Series

scholarly journals A web-based software tool to estimate unregulated daily streamflow at ungauged rivers

2012 ◽  
Vol 5 (3) ◽  
pp. 2503-2526 ◽  
Author(s):  
S. A. Archfield ◽  
P. A. Steeves ◽  
J. D. Guthrie ◽  
K. G. Ries III
Keyword(s):  
Water Management ◽  
United States ◽  
Time Series ◽  
General Framework ◽  
Software Tool ◽  
Management Decisions ◽  
Ecological Functions ◽  
Web Based ◽  
Daily Streamflow ◽  
Daily Streamflow Time Series

Abstract. Streamflow information is critical for solving any number of hydrologic problems. Often times, streamflow information is needed at locations which are ungauged and, therefore, have no observations on which to base water management decisions. Furthermore, there has been increasing need for daily streamflow time series to manage rivers for both human and ecological functions. To facilitate negotiation between human and ecological demands for water, this paper presents the first publically-available, map-based, regional software tool to interactively estimate daily streamflow time series at any user-selected ungauged river location. The map interface allows users to locate and click on a river location, which then returns estimates of daily streamflow for the location selected. For the demonstration region in the northeast United States, daily streamflow was shown to be reliably estimated by the software tool, with efficiency values computed from observed and estimated streamflows ranging from 0.69 to 0.92. The software tool provides a general framework that can be applied to other regions for which daily streamflow estimates are needed.

scholarly journals The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of a daily streamflow archive and metadata

2018 ◽  
Vol 10 (2) ◽  
pp. 765-785 ◽  
Author(s):  
Hong Xuan Do ◽  
Lukas Gudmundsson ◽  
Michael Leonard ◽  
Seth Westra
Keyword(s):  
Time Series ◽  
Large Scale ◽  
Water Cycle ◽  
Daily Streamflow ◽  
Global Water Cycle ◽  
Essential Properties ◽  
Topographic Characteristics ◽  
National Databases ◽  
Daily Streamflow Time Series

Abstract. This is the first part of a two-paper series presenting the Global Streamflow Indices and Metadata archive (GSIM), a worldwide collection of metadata and indices derived from more than 35 000 daily streamflow time series. This paper focuses on the compilation of the daily streamflow time series based on 12 free-to-access streamflow databases (seven national databases and five international collections). It also describes the development of three metadata products (freely available at https://doi.pangaea.de/10.1594/PANGAEA.887477): (1) a GSIM catalogue collating basic metadata associated with each time series, (2) catchment boundaries for the contributing area of each gauge, and (3) catchment metadata extracted from 12 gridded global data products representing essential properties such as land cover type, soil type, and climate and topographic characteristics. The quality of the delineated catchment boundary is also made available and should be consulted in GSIM application. The second paper in the series then explores production and analysis of streamflow indices. Having collated an unprecedented number of stations and associated metadata, GSIM can be used to advance large-scale hydrological research and improve understanding of the global water cycle.

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