Preparing the erosion productivity impact calculator (EPIC) model to simulate crop response to climate change and the direct effects of CO2

William E. Easterling; Norman J. Rosenberg; Mary S. McKenney; C. Allan Jones; Paul T. Dyke; J. R. Williams

doi:10.1016/0168-1923(92)90084-H

Preparing the erosion productivity impact calculator (EPIC) model to simulate crop response to climate change and the direct effects of CO₂

William E. Easterling
, Norman J. Rosenberg
, Mary S. McKenney
, C. Allan Jones
, Paul T. Dyke
, J. R. Williams

Research output: Contribution to journal › Article › peer-review

96 Scopus citations

Abstract

The adaptation of a crop simulation model to deal with the impacts of rising CO₂ and climate change is described in this paper. Algorithms that represent the direct effects of atmospheric CO₂ on crop photosynthetic efficiency and water use were developed for use with the erosion productivity impact calculator (EPIC), a mechanistic crop simulation model. Representative farms were designed to reflect the major cropping systems in the MINK (Missouri-Iowa-Nebraska-Kansas) region and data were assembled to simulate them in EPIC. Climate data were compiled to represent conditions under the control (1951-1980) and analog (1931-1940) climates. Actual daily temperature and precipitation data from a number of climatological stations across the MINK region were used in the simulations. Daily values of solar radiation, relative humidity, and wind speed were simulated stochastically from monthly First Order Weather Station records.

Original language	English (US)
Pages (from-to)	17-34
Number of pages	18
Journal	Agricultural and Forest Meteorology
Volume	59
Issue number	1-2
DOIs	https://doi.org/10.1016/0168-1923(92)90084-H
State	Published - Apr 15 1992

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

Forestry
Global and Planetary Change
Agronomy and Crop Science
Atmospheric Science

Access to Document

10.1016/0168-1923(92)90084-H

Cite this

@article{9a767f341fe44acf861ed3ee7cfb89cd,

title = "Preparing the erosion productivity impact calculator (EPIC) model to simulate crop response to climate change and the direct effects of CO2 ",

abstract = "The adaptation of a crop simulation model to deal with the impacts of rising CO2 and climate change is described in this paper. Algorithms that represent the direct effects of atmospheric CO2 on crop photosynthetic efficiency and water use were developed for use with the erosion productivity impact calculator (EPIC), a mechanistic crop simulation model. Representative farms were designed to reflect the major cropping systems in the MINK (Missouri-Iowa-Nebraska-Kansas) region and data were assembled to simulate them in EPIC. Climate data were compiled to represent conditions under the control (1951-1980) and analog (1931-1940) climates. Actual daily temperature and precipitation data from a number of climatological stations across the MINK region were used in the simulations. Daily values of solar radiation, relative humidity, and wind speed were simulated stochastically from monthly First Order Weather Station records.",

author = "Easterling, \{William E.\} and Rosenberg, \{Norman J.\} and McKenney, \{Mary S.\} and \{Allan Jones\}, C. and Dyke, \{Paul T.\} and Williams, \{J. R.\}",

note = "Funding Information: We thank Dr. Claudio Stockle of Washington State University for his contribution to the CO2 fertilization in EPIC, and John Wingard for his help with the compilation of the representative farms data. Angela Blake and Debbie Hemphill provided much-needed assistance in word processing and assembling this manuscript. This research was conducted by Resources for the Future for Pacific Northwest Laboratory under Contract DE-AC06-76RLO 1830 with the US Department of Energy under Agreement 041460-A-K1.",

year = "1992",

month = apr,

day = "15",

doi = "10.1016/0168-1923(92)90084-H",

language = "English (US)",

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pages = "17--34",

journal = "Agricultural and Forest Meteorology",

issn = "0168-1923",

publisher = "Elsevier B.V.",

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}

Preparing the erosion productivity impact calculator (EPIC) model to simulate crop response to climate change and the direct effects of CO₂ . / Easterling, William E.; Rosenberg, Norman J.; McKenney, Mary S. et al.
In: Agricultural and Forest Meteorology, Vol. 59, No. 1-2, 15.04.1992, p. 17-34.

Research output: Contribution to journal › Article › peer-review

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AU - Easterling, William E.

AU - Rosenberg, Norman J.

AU - McKenney, Mary S.

AU - Allan Jones, C.

AU - Dyke, Paul T.

AU - Williams, J. R.

N1 - Funding Information: We thank Dr. Claudio Stockle of Washington State University for his contribution to the CO2 fertilization in EPIC, and John Wingard for his help with the compilation of the representative farms data. Angela Blake and Debbie Hemphill provided much-needed assistance in word processing and assembling this manuscript. This research was conducted by Resources for the Future for Pacific Northwest Laboratory under Contract DE-AC06-76RLO 1830 with the US Department of Energy under Agreement 041460-A-K1.

PY - 1992/4/15

Y1 - 1992/4/15

N2 - The adaptation of a crop simulation model to deal with the impacts of rising CO2 and climate change is described in this paper. Algorithms that represent the direct effects of atmospheric CO2 on crop photosynthetic efficiency and water use were developed for use with the erosion productivity impact calculator (EPIC), a mechanistic crop simulation model. Representative farms were designed to reflect the major cropping systems in the MINK (Missouri-Iowa-Nebraska-Kansas) region and data were assembled to simulate them in EPIC. Climate data were compiled to represent conditions under the control (1951-1980) and analog (1931-1940) climates. Actual daily temperature and precipitation data from a number of climatological stations across the MINK region were used in the simulations. Daily values of solar radiation, relative humidity, and wind speed were simulated stochastically from monthly First Order Weather Station records.

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