气候变化领域集成服务门户(CCPortal): An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments

CCPortal

DOI	10.1029/2019MS001708
	An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments
	Ran L.; Yuan Y.; Cooter E.; Benson V.; Yang D.; Pleim J.; Wang R.; Williams J.
发表日期	2019
ISSN	19422466
起始页码	4645
结束页码	4668
卷号	11 期号:12
英文摘要	We present a regional-scale integrated modeling system (IMS) that includes Environmental Policy Integrated Climate (EPIC), Weather Research and Forecast (WRF), Community Multiscale Air Quality (CMAQ), and Soil and Water Assessment Tool (SWAT) models. The centerpiece of the IMS is the Fertilizer Emission Scenario Tool for CMAQ (FEST-C), which includes a Java-based interface and EPIC adapted to regional applications along with built-in database and tools. The SWAT integration capability is a key enhanced feature in the current release of FEST-C v1.4. For integrated modeling demonstration and evaluation, FEST-C EPIC is simulated over three individual years with WRF/CMAQ weather and N deposition. Simulated yearly changes in water and N budgets along with yields for two major crops (corn grain and soybean) match those inferred from intuitive physical reasoning and survey data given different-year weather conditions. Yearlong air quality simulations with an improved bidirectional ammonia flux modeling approach directly using EPIC-simulated soil properties including NH3 content helps reduce biases of simulated gas-phase NH3 and NH4 + wet deposition over the growing season. Integrated hydrology and water quality simulations applied to the Mississippi River Basin show that estimated monthly streamflow and dissolved N near the outlet to the Gulf of Mexico display similar seasonal patterns as observed. Limitations and issues in different parts of the integrated multimedia simulations are identified and discussed to target areas for future improvements. ©2019. The Authors.
英文关键词	EPIC; FEST-C; nitrogen cycling; SWAT; WRF-CMAQ
语种	英语
scopus关键词	Air quality; Ammonia; Budget control; Climate models; Deposition; Environmental protection; Hydrology; Water quality; Community multi-scale air qualities; EPIC; Integrated modeling system; Nitrogen cycling; Soil and water assessment tool; SWAT; Water quality simulation; WRF-CMAQ; Weather forecasting; ecosystem approach; hydrological modeling; integrated approach; nitrogen cycle; soil and water assessment tool; Glycine max; Zea mays
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156786
作者单位	U.S. Environmental Protection AgencyNC, United States; U.S. Environmental Protection AgencyNC, United States; Benson Consulting, Columbia, MO, United States; University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; Department of Land, Air, and Water Resources, University of California, Davis, CA, United States; Blackland Research and Extension Center, Texas A&M University, Temple, TX, United States
推荐引用方式 GB/T 7714	Ran L.,Yuan Y.,Cooter E.,et al. An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments[J],2019,11(12).
APA	Ran L..,Yuan Y..,Cooter E..,Benson V..,Yang D..,...&Williams J..(2019).An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments.Journal of Advances in Modeling Earth Systems,11(12).
MLA	Ran L.,et al."An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments".Journal of Advances in Modeling Earth Systems 11.12(2019).