data: CDIAC USHCN daily state

served from IRI/LDEO Climate Data Library

CDIAC USHCN daily state: state abbreviation data

daily state abbreviation from CDIAC USHCN: United States Historical Climatology Network.

Independent Variables (Grids)

STNID: grid: /STNID (ids) ordered [ (11084) (12813) (13160) ... (489905)] N= 1218 pts :grid

Other Info

bufferwordsize: 2
datatype: stringtype
units: ids

References

Easterling, David R., Thomas C. Peterson, and Thomas R. Karl, 1996: On the development and use of homogenized climate data sets. Journal of Climate, 9, 1429-1434.

Hughes, P. Y., E. H. Mason, T. R. Karl, and W. A. Brower. 1992. United States Historical Climatology Network Daily Temperature and Precipitation Data. ORNL/CDIAC-50, NDP-042. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee. 140 pp.

Karl, T.R., C.N. Williams, Jr., F.T. Quinlan, and T.A. Boden, 1990: United States Historical Climatology Network (HCN) Serial Temperature and Precipitation Data, Environmental Science Division, Publication No. 3404, Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN, 389 pp.

Quinlan, F. T., T. R. Karl, and C. N. Williams, Jr. 1987. United States Historical Climatology Network (HCN) serial temperature and precipitation data. NDP-019. Carbon Dioxide Information Analysis Center. Oak Ridge National Laboratory, Oak Ridge, Tennessee.

Williams, C. N., R. S. Vose, D. R. Easterling, and M. J. Menne, 2004. United States Historical Climatology Network Daily Temperature, Precipitation, and Snow Data. ORNL/CDIAC-118, NDP-070. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee.

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	STNID
CDIAC USHCN daily state[ \| STNID]	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along STNID
Differentiate along STNID
Take differences along STNID