Statistical Emulators of Irrigated Crop Yields and Irrigation Water Requirements

Elodie Blanc

No 333018, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project

Abstract: This study provides statistical emulators of global by gridded crop models included in the Inter-Sectoral Impact Model Intercomparison Project Fast Track project to estimate irrigated crop yields and associated irrigation water withdrawals simulated at the grid cell level. An ensemble of crop model simulations is used to build a panel of monthly summer weather variables and corresponding annual yields and irrigation water withdrawals from five gridded crop models. This dataset is then used to estimate crop-specific response functions for each crop model. The average normalized root mean square errors for the response functions range from 3% to 6% for irrigated yields and 2% to 8% for irrigated water withdrawal. Further in- and out-of-sample validation exercises confirm that the statistical emulators are able to replicate the crop models’ spatial patterns of irrigated crop yields and irrigation water withdrawals reasonably well, both in levels and in terms of changes overtime, although accuracy varies by model and by region. The emulators estimated in this study therefore provides a reliable and computationally efficient alternative to global gridded crop yield models.

Keywords: Crop Production/Industries; Resource/Energy Economics and Policy (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:ags:pugtwp:333018

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