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Related Experiment Video

Updated: Jun 29, 2025

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

Published on: June 8, 2015

Research progress in parameterizing irrigation and fertilization in land surface model.

Fei Wang¹, Zi-Han Zhou¹, Dong-Rui Han¹

¹Institute of Agricultural Information and Economics, Shandong Academy of Agricultural Sciences, Jinan 250010, China.

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology

|March 24, 2024

Summary

Irrigation and fertilization are crucial for food security but impact ecosystems. Current land surface models (LSMs) struggle to accurately represent these agricultural practices, limiting our understanding of their effects.

Keywords:

irrigation land surface model nitrogen fertilization parameterization

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Last Updated: Jun 29, 2025

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

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Published on: June 8, 2015

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Area of Science:

Earth and Environmental Sciences
Agricultural Science

Background:

Global climate change and population growth necessitate advanced agricultural techniques like irrigation and fertilization to ensure food security.
These practices significantly influence terrestrial ecosystem processes, including water cycling, energy flow, and material cycling.
Accurate representation in land surface models (LSMs) is vital for understanding land-atmosphere interactions and their impact on food production.

Approach:

Reviewed parameterization methods for irrigation and nitrogen fertilizer application within LSMs.
Focused on three key parameters: application method, usage, and timing.
Identified discrepancies between modeled and actual agricultural practices due to data resolution limitations.

Key Points:

Current LSMs often simplify irrigation and fertilization, deviating from real-world agricultural operations.
This simplification hinders accurate assessment of the impacts of these practices on crop yield, environment, and local climate.
High-resolution spatio-temporal data limitations are a major challenge in improving model accuracy.

Conclusions:

Future LSM development should incorporate crop-specific water demands and differentiated irrigation thresholds.
Integrating field records and regional grid data can create more realistic parameterization schemes for agricultural operations.
Developing advanced fertilization diagnosis schemes considering crop type, phenology, and soil fertility will enhance LSM applicability and simulation accuracy, especially in data-scarce regions.