The objective of this work was to construct a long-term data set of daily precipitation on half degree and one degree latitude/longitude grids over the global land areas. The analyses are defined by interpolating station observations from GTS (Global Telecommunications System) gauges using the algorithm of Shepard (1968). The algorithm of Shepard (1968) has been widely used to interpolate gauge observations of monthly, pentad, and daily precipitation (Rudolf 1993, Xie et al. 1996). This algorithm is used to interpolate the irregularly distributed station observations onto grid points. The weighting coefficients are inversely proportional to the gauge-grid point distance and are adjusted by a cosine function taking into account the directional isolation of each gauge relative to all other nearby gauges. There are 6 data files with this data set.
This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II)data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. A complete description of the data, it's derivation, acknowledgements, and references provided by the ISLSCP II Data Management Staff is included with this data set as a companion file named 1_gts_precip_daily_doc.pdf.
ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The data and documentation have undergone two peer reviews.
ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions --process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.
Cite this data set as follows:
Xie, P. and J. E. Janowiak. 2011. ISLSCP II Gauge-Based Analyses of Daily Precipitation over Global Land Areas. In Hall, Forrest G., G. Collatz, B. Meeson, S. Los, E. Brown de Colstoun, and D. Landis (eds.). ISLSCP Initiative II Collection. Data set. Available on-line [http://daac.ornl.gov/] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/1001
The archived data sets for ISLSCP II have been organized by categories. This data set is in the Hydrology, Soils, and Topography category-- a collection of hydroclimatology and surface elevation data sets.
Data Set Spatial Extent: Global gridded
Westernmost Longitude: -180 W
Easternmost Longitude: 180 E
Northernmost Latitude: 90 N
Southernmost Latitude: -90 S
Data Set Spatial Resolution: 1.0 degree and 0.5 degree in both latitude and longitude
Data Set Temporal Extent: 1986 through 1995
Data File Format
All of the data files in each data set within the ISLSCP Initiative II data collection are in ASCII GRID format. The file format consists of numerical fields of varying length, which are delimited by a single space and arranged in columns and rows. There are 6 data files ( .zip) at 1.0 degree (1deg) and 0.5 degree (hdeg) resolution. There are also 2 changemap files at 1.0 degree and 0.5 degree resolution which provide the the spatial distribution of points which were removed or added ( ASCII map file).
File names and descriptions:
Shepard, D., 1968: A two dimensional interpolation function for regularly spaced data. 23rd National Conference of American Computing Machinery, Princeton, N.J.
Rudolf, B., 1993: Management and analysis of precipitation on a routine basis.Proc. Internat. WMO/IAHS/THE SYMP. On Precip. And Evap., Slovak Hydromet. Inst., Bratislava, Sep. 1993, 1,69-76.
Xie, P., and co-authors, 1996: Gauge-based monthly analysis of global land precipitation from 1971 to 1994. J. Geophy. Res., 101D14, 19023 – 19034.
These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) [http://daac.ornl.gov].
Telephone: +1 (865) 241-3952