Northeast Brazil Precipitation, daily and monthly, 1904-1983

Daily and monthly rainfall for 2300 stations in 10 states in northeastern Brazil are contained in this dataset. Although the first data is for 1904, sixty percent of the stations do not report until the 1960s. The data was obtained from Jack Geisler, University of Utah.

To Access Resource:

Questions? Email Resource Support Contact:

  • Bob Dattore
    dattore@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1904
    End:  1983

Keywords

Resource Type dataset
Temporal Range Begin 1904
Temporal Range End 1983
Temporal Resolution N/A
Bounding Box North Lat 4
Bounding Box South Lat -33
Bounding Box West Long -74
Bounding Box East Long -35
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format ASCII
Standardized Resource Format ASCII
Asset Size 150.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
Software Implementation Language N/A

Resource Support Name Bob Dattore
Resource Support Email dattore@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Department of Meteorology, University of Utah
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1989-07-14
Digital Object Identifier (DOI) https://doi.org/10.5065/GMB3-3X52
Alternate Identifier d517000
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-08-04T02:11:10Z
Metadata Record Identifier edu.ucar.rda::d517000
Metadata Language eng; USA
Suggested Citation Department of Meteorology, University of Utah. (1989). Northeast Brazil Precipitation, daily and monthly, 1904-1983. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/GMB3-3X52. Accessed 12 January 2025.

Harvest Source