Spatial and temporal interpolation of environmental data

Authors

Tom Smith, University of Queensland
Phil Jones
Elizabeth Kent
Maurice Cox
Noel A. Cressie, The Ohio State University
Dick Dee
Richard Smith

RIS ID

108952

Publication Details

Smith, T., Jones, P., Kent, E., Cox, M., Cressie, N., Dee, D. & Smith, R. (2010). Spatial and temporal interpolation of environmental data. International Surface Temperature Initiative, Exeter Workshop 2010 (pp. 1-8).

Abstract

Environmental data analyzed to a regular spatial and temporal grid is often desired for monitoring and climate studies. For example, monitoring of regional to global temperature change and changes in the daily temperature range and extremes may use analyzed temperatures. We use the term 'analyses' in the broadest sense to encompass any form of transformation to a regular grid (so from simple gridding through to dynamical reanalyses). Resolution depends on the period and region of the analysis: typically coarser analysis grids correspond to longer periods and larger areas. Some analyses are updated in near-real time.

Link to publisher version (URL)

International Surface Temperature Initiative