TITLE OF THE DATA SET A Comprehensive Precipitation Data Set for Global Land Areas. DATA CONTRIBUTORS Jon K. Eischeid Henry F. Diaz CIRES, University of Colorado and Environmental Research Laboratories NOAA Boulder, Colorado Raymond S. Bradley University of Massachusetts Amherst, Massachusetts Philip D. Jones Climatic Research Unit University of East Anglia Norwich, United Kingdom DOI: 10.3334/CDIAC/cli.tr051 SOURCE AND SCOPE OF THE DATA An expanded and updated compilation of long-term station precipitation data, together with a new set of gridded monthly mean fields for global land areas are provided in this subdirectory. This data set contains 5328 station records of monthly total precipitation, covering the period from the mid 1800s to the late 1980s. The station data were individually tested and visually inspected for the presence of spurious trends, jumps and other measurement biases. The quality control procedure which was used to check the station records for nonclimatic discontinuities and other biases is detailed in the report that accompanies these data files. Some of the problems which typically contribute to potential inhomogeneities in precipitation records are also described in the accompanying report. The station data were interpolated onto a 4 degree latitude by 5 degree longitude uniform grid. Comparisons of these data with two other global scale precipitation climatologies showed good agreement among the three global scale climatologies over the common areas in each set. Three different indices of long-term precipitation variations over the global land areas all indicate a general increase of annual precipitation since the 1940s, although a decline is evident over the last decade. There is some indication that the last few decades of the 19th century may have been as wet as the recent ones. An interesting feature of this study is the presence of relatively large differences in seasonal trends, with March-May and September-November becoming wetter in the last few decades. The December-February and June-August seasons exhibit smaller overall trends, although the northern winter season does exhibit large decadal-scale fluctuations. DATA FORMAT Four files are provided in this subdirectory (TR051) including this descriptive file (tr051.des), one data file containing the seasonal precipitation anomalies (in mm) interpolated to a 4 degree by 5 degree latitude-longitude grid for the period 1851-1989 precip.grd), one data file containing the total monthly precipitation records for the 5328 station used to compile the gridded data set (station.dat), and a file that provides an inventory of the surface stations (station.inv). The file (precip.grd) that contains the gridded seasonal precipitation anomalies may be read in the following manner: PROGRAM READ REAL DATA(72,38) DO 100 IY=1851,1989 DO 99 IS=1,5 READ(1,'(I4,I2)')IYEAR,ISEAS READ(1,'(12F8.2)')((DATA(J,K),J=1,72,K=1,38) where: ISEAS = 1 = DJF 2 = MAM 3 = JJA 4 = SON 5 = Annual J = 1 = 0 degrees 2 = 5 degrees E 3 = 10 degrees E . = . . = . . = . . = . 72 = 5 degress W K = 1 = 62 degrees S 2 = 58 degrees S 3 = 54 degrees S . = . . = . . = . . = . 38 = 86 degrees N All missing values are denoted by -9999.99. The format of the file (station.dat) that contains the surface station records is as follows: 1) Header record (record length = 68 characters) GHCN/DOE id# Latitude Longitude Elevation Station Name 9999999999 9999 99999 99999 (33 char.) Begin yr End yr id 9999 9999 9999999 GHCN/DOE id# (I10): contains WMO region (I1) WMO country code (I2) WMO # (I6) Flag (I1) Flag=0 if a standard WMO station Flag=1 if WMO # has been assigned, but is not listed in WMO official station listing (i.e., it indicates that it is a 'pseudo-WMO' id number). Latitude (I4): tenths of a degree, south latitude is negative Longitude (I5): tenths of a degree, east longitude is negative Elevation (I5): meters Station name (A33): station name and country Begin yr (I4): initial year of record End yr (I4): final year of record id (I7 or A7): unique station code assigned to a particular station by the data source (country organization furnishing the data). This information is not available for all stations. Example of one header record: 6010100100 710 84 9jan mayen 19221989 2) Data records (one logical record per year) year 12 monthly values 9999 12 x 999999 year (I4) data (12I6): in tenths of millimeters, missing values are negative REFERENCES Eischeid, J.K., H.F. Diaz, R.S, Bradley, and P.D. Jones. 1991. A comprehensive precipitation data set for global land areas. DOE/ER-69017T-H1, TR051, United States Department of Energy, Carbon Dioxide Research Program, Washington, D.C. doi: 10.3334/CDIAC/cli.tr051