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A Crop Yield Change Emulator for Use in GCAM and Similar Models: Persephone v1.0Future 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 multisector 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.
Document ID
20190002291
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Snyder, Abigail
(Pacific Northwest National Lab. Washington, DC, United States)
Calvin, Katherine V.
(Pacific Northwest National Lab. Washington, DC, United States)
Phillips, Meridel
(Columbia Univ. New York, NY, United States)
Ruane, Alex C.
(NASA Goddard Inst. for Space Studies New York, NY, United States)
Date Acquired
April 11, 2019
Publication Date
April 3, 2019
Publication Information
Publication: Geoscientific Model Development
Publisher: European Geosciences Union (EGU)
Volume: 12
Issue: 4
ISSN: 1991-959X
e-ISSN: 1991-9603
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN67471
Funding Number(s)
CONTRACT_GRANT: 80NSSC17M0057
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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