|SINHA, EVA - Pacific Northwest National Laboratory|
|BOND-LAMBERTY, BEN - Pacific Northwest National Laboratory|
|CALVIN, KATHERINE - Pacific Northwest National Laboratory|
|DREWNIAK, BETH - Argonne National Laboratory|
|BISHT, GAUTAM - Lawrence Berkeley National Laboratory|
|BLAKELY, BETHANY - University Of Illinois|
|MOORE, CAITLIN - University Of Western Australia|
Submitted to: Journal of Geophysical Research-Biogeosciences
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/2/2023
Publication Date: 3/22/2023
Citation: Sinha, E., Bond-Lamberty, B., Calvin, K., Drewniak, B., Bisht, G., Bernacchi, C.J., Blakely, B., Moore, C. 2023. The impact of crop rotation and spatially varying crop parameters in the E3SM Land Model (ELMv2). Journal of Geophysical Research-Biogeosciences. 128(3). Article e2022JG007187. https://doi.org/10.1029/2022JG007187.
Interpretive Summary: Crops are being increasingly characterized in global land models because of their impact on local and regional climate. However, there is limited understanding of the impact of crop rotation and of different crop cultivars on carbon and energy fluxes from the land surface. Our study implements crop rotation and spatially varying crop parameters in the Energy Exascale Earth System Model Land Model and finds that doing so improves carbon and energy flux estimation from cropland area. These findings emphasize the importance of capturing agricultural management practices and variability in growth characteristics across different crop cultivars in global land models.
Technical Abstract: Earth System Models (ESMs) are increasingly representing agriculture due to its impact on biogeochemical cycles, local and regional climate, and fundamental importance for human society. Realistic large scale simulations may require spatially varying crop parameters, that capture crop growth at various scales and among different cultivars, and common crop management practices, but their importance is uncertain, and they are often not represented in ESMs. In this study, we examine the impact of using constant vs. spatially varying crop parameters on a novel, realistic crop rotation scenario in the Energy Exascale Earth System Model (E3SM) Land Model version 2 (ELMv2). We implemented crop rotation by using ELMv2's dynamic land unit capability, and then calibrated and validated the model against observations collected at three AmeriFlux sites in the US Midwest with corn soybean rotation. The calibrated model closely captured the magnitude and observed seasonality of carbon and energy fluxes across crops and sites. We performed regional simulations for the US Midwest using the calibrated model and found that spatially varying only few crop parameters across the region, as opposed to using constant parameters, had a large impact, with the carbon fluxes varying by up to 40% and energy fluxes by up to 30%. These results imply that large scale ESM simulations using spatially invariant crop parameters may result in biased energy and carbon fluxes estimation from agricultural land, and underline the importance of improving human-earth systems interactions in ESMs.