Global River Discharge, 1807-1991, V. 1.1 (RivDIS)

Data Notes:

Not available.

Field Notes:

Not available.

Spatial Characteristics:

Spatial Coverage:

Data were collected from 1018 stations located throughout the world.

Spatial Coverage Map:

Maps showing the locations of 949 stations (RivDIS v1.0) are available in Vorosmarty et al. (1996a).

Spatial Resolution:

Data were collected at point locations on mainstem and tributary rivers and streams.

Projection:

Not available.

Grid Description:

Not available.

Temporal Characteristics:

Temporal Coverage:

The temporal coverage is station-specific and varies from less than one year to 178 years with an average of 21.5 years. A summary of the observation period for 949 stations (RivDIS v1.0) is available in Vorosmarty et al. (1996a).

Temporal Coverage Map:

Not available.

Temporal Resolution:

Monthly.

Data Characteristics:

The following table is an alphabetical list of the attributes found in the measurement and station files. The content and record structure of each file type are shown in the following section. A blank is used to denote missing values.

POINTID  STATION    RIVER       LAT      LON    MAPCODE   ELEV   COUNTRY
-------  -------    -----       ---      ---    -------   ----   -------
    2    Kibassi    Djoua       4.22    15.00     D4       300   Congo
    4    Lahore     Wina        7.00    13.00     D4      1048   Cameroon
    5    Safel      Niari      -3.95    13.76     D5       150   Congo
   10    Bangui     Oubangui    4.37    18.50     D4       336   Central African Republic

 CONT         OCEAN         BASIN           BASN_STN     AREA     NXT_PNT
 ----         -----         -----           --------     ----     -------
Africa    Atlantic Ocean    Congo           Zaire         5240        14
Africa                      Sanaga                        1690          
Africa    Atlantic Ocean    Kouilou         Kouilou       8620      1456
Africa    Atlantic Ocean    Congo           Zaire       500000       948

RELIABLE    REASON
--------    ------
   1                    
   0        Area is less than 2000 km2                                 
   1              
   1              

POINTID    YEAR    MONTH    DISCHRG
-------    ----    -----    -------
   2       1969       1      117.0
   2       1969       2      119.0
   4       1953       8       56.1
   4       1953       9       87.1
   4       1953      10       84.0
   5       1972       1      176.0
   5       1972       2      164.0
   10      1943       5     1110.0
   10      1943       6     2210.0
   10      1943       7     3550.0

Data Granularity:

The data are provided in 194 packages organized into the following five categories (number of packages is noted in parantheses): global (1), continent (6), country (117), major basin (50), and receiving waters (20). In this approach, the data for a given station may appear in one or more packages. Each package consists of two files. The measurement file contains the discharge data and the station file includes information about the sampling locations. Related records in the two files can be linked by the POINTID attribute. A complete listing of all packages can be found on the World Wide Web at http://daac.ornl.gov.

Data Format:

The file format is ASCII and parameters are separated by a vertical bar (|). Each file begins with two header records which contain the following information:

Record 1

Name of the file and number of records contained in the file.

Record 2

Parameter names for the data within the file, delimited by a vertical bar (|).

Record 3

First data record begins.

The parameters are defined in the Data Characteristics Section.

Formulae:

Derivation Techniques and Algorithms:

Not applicable.

Data Processing Sequence:

Processing Steps:

The data set was created in several steps by staff at the Complex Systems Research Center (CSRC), University of New Hampshire.

1. The original UNESCO published records were keypunched in duplicate.

2. The duplicate files were compared and the differences resolved by consulting the original records.

3. The computerized files were checked against the Global Runoff Data Center records (available through the National Geophysical Data Center, Boulder, Colorado) and the differences were resolved.

4. The time series of discharge measurements were plotted for each station and checked for unusual and extreme values. The suspect values were compared to the original published records.

5. The geographic locations and consistency of the contributing areas were checked using a geographic information system (GIS) at the University of New Hampshire's Global Hydrological Archive and Analysis System (GHAAS).

Processing Changes:

Not applicable.

Calculations:

Special Corrections/Adjustments:

A geographic information system (GIS) was used to check the accuracy of the station coordinates. Coordinates were adjusted to ensure that the station was located on a river when plotted by the GIS.

Calculated Variables:

Not applicable.

Graphs and Plots:

Data summaries for 949 stations (RivDIS v1.0) are available in Vorosmarty et al. (1996a; 1996b; 1996c: 1996d; 1996e; 1996f; 1996g).

Sources of Error:

Potential sources of error include:

(a) Errors in station attributes such as latitude, longitude, or basin area;

(b) Differences in naming conventions that created difficulties in the error checking procedures;

(c) Typographical errors in keyboarding the published source material; and

(d) Errors in the original source material.

Quality Assessment:

Data Validation by Source:

Site attributes were checked for consistency through comparisons with the UNESCO published series. Specifically, checks were made on the accuracy of the site names, locations, and contributing drainage areas. The site coordinates were superimposed on 1:3 M scale digital line segments depicting the world's river systems using a geographic information system (GIS). Contributing areas, discharges, and runoff were also checked by comparing the reported values to those calculated by the GIS and a simulated network topology at 30-minute spatial resolution.

The measurement data were also reviewed. When published reports were available, an independent comparison was made between the keypunched entries and the published values. The computed runoff values were examined for extreme or unreasonable values. Time series plots of the discharge data were reviewed to identify outliers. The discovery of any inconsistencies were grounds for a more careful analysis of suspect sites and measurements.

Confidence Level/Accuracy Judgment:

The accuracy of the measurements is not given in the original sources. However, river gauging is generally thought to have an accuracy of 5-10% but the actual accuracy depends significantly on local conditions (Dingman 1994).

Measurement Error for Parameters:

Not available.

Additional Quality Assessments:

The DAAC updated several country and river names based on comparisons with geographic atlases and gazeteers.

Data Verification by Data Center:

UNH supplied the data to the DAAC as an Access database. The DAAC extracted ASCII files from this database, loaded these files into SAS, and generated station summaries. These summaries were compared to similar summaries published in Vorosmarty et al. (1996a) to ensure the integrity of the data.

11. Notes:

Limitations of the Data:

Not available.

Known Problems with the Data:

Stations with potential data problems are identified with the RELIABLE parameter value of zero (0). Additional information about the problems is found in the REASON parameter.

Usage Guidance:

A user should proceed with caution when using data from suspect (RELIABLE = 0) stations.

Any Other Relevant Information about the Study:

See Vorosmarty et al. (1996a) for additional information about RivDIS v1.0. Vorosmarty et al. (1996b; 1996c; 1996d; 1996e; 1996f; 1996g) present data summaries for the 949 stations contained in RivDIS v1.0.

12. Application of the Data Set:

The Global Monthly River Discharge data set will be useful in a variety of earth systems science and water resource planning applications. Owing to the strong dependence of terrestrial productivity and nutrient biogeochemistry on water availability and fluxes, this data set will assist in the calibration and validation of associated computed water budgets when integrated over contributing watershed areas. A similar integration will provide support to global and regional atmospheric modeling studies with respect to simulated land surface hydrology. The data set can be used to support water resource assessments, both in terms of climatology, inter- and intra-annual variability, and progressive climate change. As an example, this data set was used to quantify the impact of large reservoir systems on the global network of rivers (Vorosmarty et al. 1997a; 1997b). Temporal patterns of river discharge also regulate habitat, biodiversity, and nutrient biogeochemistry in aquatic ecosystems. Fluxes of water are closely connected to the transport of sediment and dissolved constituents through river systems, and these are necessary to better quantify the linkage of the continental land masses and the world's oceans.

13. Future Modifications and Plans:

None at this time.

Software Description:

Not available.

Software Access:

Not available.

Contact Information:

ORNL DAAC User Services

Oak Ridge National Laboratory

Telephone: (865) 241-3952

FAX: (865) 574-4665

Email: ornldaac@ornl.gov

Data Center Identification:

ORNL Distributed Active Archive Center

Oak Ridge National Laboratory

Telephone: (865) 241-3952

FAX: (865) 574-4665

Email: ornldaac@ornl.gov

Procedures for Obtaining Data:

Users may place requests by telephone, electronic mail, or FAX. Data is also available via the World Wide Web at http://daac.ornl.gov.

Data Center Status/Plans:

These data are available from the ORNL DAAC. Please contact the ORNL DAAC User Services Office for the most current information about these data.

16. Output Products and Availability:

Available on-line, via FTP, IBM-formatted high- or low-density diskettes, 9-track magnetic tape, 150 MB 0.25 inch tape, 4mm tape, or 8mm tape. A complete listing of all data sets can be found on the World Wide Web at http://daac.ornl.gov. .

CSRC

Complex Systems Research Center

DAAC

Distributed Active Archive Center

EOSDIS

Earth Observing System Data and Information System

GHAAS

Global Hydrological Archive and Analysis System (UNH)

GIS

geographic information system

ORNL

Oak Ridge National Laboratory

STN

Simulated Topology Network

UNESCO

United Nations Educational, Scientific and Cultural Organization

UNH

University of New Hampshire

URL

Uniform Resource Locator

Document Revision Date:

July 28, 2016 (Note: Citation revised on June 27, 2002)

Document Review Date:

July 28, 2016

Document ID:

ORNL_RIVDIS

Contact for Data Center Access Information:

ORNL DAAC User's Service Office