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Title: A crop yield change emulator for use in GCAM and similar models: Persephone v1.0

Journal Article · · Geoscientific Model Development (Online)
 [1];  [1];  [2];  [3]
  1. Pacific Northwest National Lab. (PNNL), College Park, MD (United States). Joint Global Change Research Inst.
  2. Columbia Univ., New York, NY (United States). Earth Inst. Center For Climate Systems Research; NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
  3. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
+ Show Author Affiliations

Future changes in Earth system state will impact agricultural yields and, through these changed yields, can have profound impacts on the global economy. Global gridded crop models estimate the influence of these Earth system changes on future crop yields but are often too computationally intensive to dynamically couple into global multi-sector economic models, such as the Global Change Assessment Model (GCAM) and other similar-in-scale models. Yet, generalizing a faster site-specific crop model's results to be used globally will introduce inaccuracies, and the question of which model to use is unclear given the wide variation in yield response across crop models. To examine the feedback loop among socioeconomics, Earth system changes, and crop yield changes, rapidly generated yield responses with some quantification of crop response uncertainty are desirable. The Persephone v1.0 response functions presented in this work are based on the Agricultural Model Intercomparison and Improvement Project (AgMIP) Coordinated Climate-Crop Modeling Project (C3MP) sensitivity test data set and are focused on providing GCAM and similar models with a tractable number of rapid to evaluate dynamic yield response functions corresponding to a range of the yield response sensitivities seen in the C3MP data set. With the Persephone response functions, a new variety of agricultural impact experiments will be open to GCAM and other economic models: for example, examining the economic impacts of a multi-year drought in a key agricultural region and how economic changes in response to the drought can, in turn, impact the drought.

Research Organization:
Pacific Northwest National Lab. (PNNL), College Park, MD (United States); NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Aeronautics and Space Administration (NASA); USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1504787
Alternate ID(s):
OSTI ID: 1524152
Report Number(s):
PNNL-SA-136789
Journal Information:
Geoscientific Model Development (Online), Vol. 12, Issue 4; ISSN 1991-9603
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 8 works
Citation information provided by
Web of Science

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Cited By (1)

An empirical, Bayesian approach to modelling crop yield: Maize in USA journal January 2020

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