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Title: A Global Geographic Information System Data Base of Storm Occurrences and Other Climatic Phenomena Affecting Coastal Zones (1991) (NDP-035)

Abstract

This NDP is unique in that it represents CDIAC's first offering of ARC/INFOTM export data files and equivalent flat ASCII data files that may be used by raster or vector geographic information systems (GISs). The data set contains 61 variables, including information on tropical storms, hurricanes, super typhoons, extratropical cyclogeneses, polar lows, cyclonicity, influence of winds in monsoon regions, and sea-ice concentrations. Increased availability of source data has made it possible to extend the area of these data variables to regional or global coverages. All data variables except five are referenced to 1° × 1° or 5° × 5° grid cells of latitude and longitude. These data help meet the demand for new and improved climatologies of storm events and may be used in climate research studies, including the verification of general circulation models and the calculation of storm-recurrence intervals.

Authors:
;
  1. Murray State University, Kentucky
Publication Date:
Other Number(s):
NDP-035; ORNL/CDIAC-40
ESD Pulication 3656
DOE Contract Number:  
AC05-84ORR21400
Product Type:
Dataset
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Carbon Dioxide Information Analysis Center (CDIAC); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
Climatic datasets; tropical cyclones; tropical storms; hurricanes; hurricane strikes; super typhoons; extratropical cyclones; extratropical cyclogenesis; cyclones; cyclone movement; cyclonicity; monsoons; wind; polar lows; polar air clooud vortices; sea ice; storm occurrences; storm probabilities of occurrence; coastal storms; geographic information system
OSTI Identifier:
1394935
DOI:
https://doi.org/10.3334/CDIAC/cli.ndp035

Citation Formats

Birdwell, Kevub R., and Daniels, Richard C.. A Global Geographic Information System Data Base of Storm Occurrences and Other Climatic Phenomena Affecting Coastal Zones (1991) (NDP-035). United States: N. p., 2012. Web. doi:10.3334/CDIAC/cli.ndp035.
Birdwell, Kevub R., & Daniels, Richard C.. A Global Geographic Information System Data Base of Storm Occurrences and Other Climatic Phenomena Affecting Coastal Zones (1991) (NDP-035). United States. doi:https://doi.org/10.3334/CDIAC/cli.ndp035
Birdwell, Kevub R., and Daniels, Richard C.. 2012. "A Global Geographic Information System Data Base of Storm Occurrences and Other Climatic Phenomena Affecting Coastal Zones (1991) (NDP-035)". United States. doi:https://doi.org/10.3334/CDIAC/cli.ndp035. https://www.osti.gov/servlets/purl/1394935. Pub date:Sun Jan 01 00:00:00 EST 2012
@article{osti_1394935,
title = {A Global Geographic Information System Data Base of Storm Occurrences and Other Climatic Phenomena Affecting Coastal Zones (1991) (NDP-035)},
author = {Birdwell, Kevub R. and Daniels, Richard C.},
abstractNote = {This NDP is unique in that it represents CDIAC's first offering of ARC/INFOTM export data files and equivalent flat ASCII data files that may be used by raster or vector geographic information systems (GISs). The data set contains 61 variables, including information on tropical storms, hurricanes, super typhoons, extratropical cyclogeneses, polar lows, cyclonicity, influence of winds in monsoon regions, and sea-ice concentrations. Increased availability of source data has made it possible to extend the area of these data variables to regional or global coverages. All data variables except five are referenced to 1° × 1° or 5° × 5° grid cells of latitude and longitude. These data help meet the demand for new and improved climatologies of storm events and may be used in climate research studies, including the verification of general circulation models and the calculation of storm-recurrence intervals.},
doi = {10.3334/CDIAC/cli.ndp035},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {1}
}