This analytic tool provides access to the Northwest Africa Rivers Discharge stations from the Global River Discharge Database (v1.1) and to the
Global Historical Climatology Network-Monthly
(GHCN-M), providing historical precipitation data for the region.
The Royal Netherlands Meteorological Institute (KNMI) Climate Explorer web
application provides access to all of this information. The CCLME ECO-GIS Viewer makes use of the
information gathered from this web application. Several graphs are displayed using all of the information stored
in the stations that the user has selected.
• Global River Discharge Database (v1.1): The Global River Discharge
Database development efforts are the first step in a continuous compilation of river discharge information. One
of the primary sources of information for database development was the UNESCO river archives and the series of
publications titled "The Discharge of Selected Rivers of the World," which were available in book form from 1969
to 1984. The series was a valuable source of information on approximately 1000 stations. RivDis v1.0 provides
discharge data from the original UNESCO publication series in a digital format that researchers and planners in
the water sciences community can easily access and analyse. The contents of RivDis v1.0 were recently published
in book form (Vorosmarty et al. 1996a) and are available from UNESCO's International Hydrological Programme
Headquarters (Offices: 1, Rue Miollis /75732 Paris CEDEX 15). This has resulted in the creation of a database
known as RivDIS v1.0 and a full publication summarizing the database.
References:
Vörösmarty, C.J., B. Fekete, and B.A. Tucker. 1998. River Discharge Database, Version 1.1 (RivDIS v1.0
supplement). Available through the Institute for the Study of Earth, Oceans, and Space / University of New
Hampshire, Durham NH (USA).
Vörösmarty, C.J., B. Fekete, and B.A. Tucker. 1996. River Discharge Database, Version 1.0 (RivDIS v1.0), Volumes
0 through 6. A contribution to IHP-V Theme 1. Technical Documents in Hydrology Series. UNESCO, Paris.
• Global Historical Climatology Network-Monthly (GHCN-M): The GHCN monthly climate dataset is provided by the National Oceanic and Atmospheric Administration/National Climatic Data Center. In late 2008, it had 20,586 precipitation stations, 7,279 mean temperature stations, 4,965 minimum/maximum temperature stations, and 2667 pressure stations, ranging in length from hundreds of years to only a few.
The data is presented in two forms: adjusted and unadjusted. The first set has been corrected for urban effects, while the second is biased by comparing urban stations to nearby rural stations. The adjusted data is only available for a few countries.
The KNMI Climate Explorer
post-processed NCDC data by combining all-time series for each station. Currently, this is done very crudely. For each year, the first series of valid data is chosen. It is intended to merge these series more intelligently, taking into account all data and the possibility of bias.
The quality of the data varies. Most problematic are very old data, before observations were sufficiently standardized (1855, 1905, and 1950 are common discontinuities), and very new data from the Global Telecommunication System (GTS). The NCDC quality control system has removed the majority of errors, but some will inevitably remain. It's always a good idea to check the time series. It's also worth checking that the coordinates match those expected, such as in Google Earth, where some stations are mislocated. Please report any errors to NCDC.
The database is updated from NCDC into the Climate Explorer once every month.
References:
Peterson, Thomas C. and Russell S. Vose, 1997: An Overview of the Global Historical Climatology Network
Temperature Data Base, Bulletin of the American Meteorological Society, 78, 2837–2849.
• KNMI Climate Explorer web application: The KNMI Climate Explorer
is a web application used to analyse climate data statistically, developed by Geert Jan van Oldenborgh. It began in late 1999 as a simple web page for analysing ENSO teleconnections and has since grown to include over one terabyte (TB) of climate data and dozens of analysis tools. It is now part of the World Meteorological
Organization (WMO) Regional Climate Centre at KNMI, together with the European Climate Assessment and Dataset (ECA&D).