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Development of LACIE CCEA-1 weather/wheat yield modelsThe advantages and disadvantages of the casual (phenological, dynamic, physiological), statistical regression, and analog approaches to modeling for grain yield are examined. Given LACIE's primary goal of estimating wheat production for the large areas of eight major wheat-growing regions, the statistical regression approach of correlating historical yield and climate data offered the Center for Climatic and Environmental Assessment the greatest potential return within the constraints of time and data sources. The basic equation for the first generation wheat-yield model is given. Topics discussed include truncation, trend variable, selection of weather variables, episodic events, strata selection, operational data flow, weighting, and model results.
Document ID
19800007197
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Strommen, N. D.
(Environmental Data and Information Service Washington, DC, United States)
Sakamoto, C. M.
(Environmental Data and Information Service Columbia, Mo., United States)
Leduc, S. K.
(Environmental Data and Information Service Columbia, Mo., United States)
Umberger, D. E.
(USDA Economics, Statistics, and Cooperative Service, Columbia Mo., United States)
Date Acquired
August 10, 2013
Publication Date
July 1, 1979
Publication Information
Publication: NASA. Johnson Space Center Proc. of Tech. Sessions, Vol. 1 and 2
Subject Category
Earth Resources And Remote Sensing
Accession Number
80N15457
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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