Ellen Cooter1, Limei Ran1, Verel Benson2, Dongmei Yang3,

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Presentation transcript:

Enhancements to an Agricultural Land Modeling System – FEST-C and Its Application Ellen Cooter1, Limei Ran1, Verel Benson2, Dongmei Yang3, Jesse Bash1, Ruoyu Wang1, and Yongping Yuan1 1ORD NERL/USEPA, Research Triangle Park, NC 2Verel W. Benson, Benson Consulting 200 Haywood Ct, Columbia, MO 65203, USA 3Institute for the Environment University of North Carolina at Chapel Hill, NC USA

Presentation Outline FEST-C Description Software download, installation and execution FEST-C V1.2 Enhancements and Updates Recent Applications Future Enhancements

Fertilizer Emission Scenario Tool for CMAQ (FEST-C) Produces initial soil nitrogen pool and fertilizer activity inputs required to run bi-directional CMAQ FEST-C v1.0: first release in 10/2013 FEST-C v1.2: current release 05/2016 Soil & Water Assessment Tool Any CMAQ or GEOS-CHEM CONUS domain (e.g., 12km US1, DISCOVER-AQ 4km) Other regions (e.g. China) with adapted land use, crop, soil and other data

What do I need to install FEST-C (US1 12km domain)? Where do I get FEST-C? CMAS (includes installation instructions, users manual and tutorial What do I need to install FEST-C (US1 12km domain)? Linux (5G to install, 4G memory, output needs 14 GB/yr ) SA (required) and VERDI (optional) Installed and tested on UNC (KittyHawk), NCC (SOL), HPCC and Dell T7600 (CAUTION: many small files) How do I run FEST-C? Interface-driven (FEST-C) Background execution (time varies with host configuration) Software creates and executes scripts

What input data do I need? Simulation cell size, domain extent and projection MCIP formatted weather data on same domain as you will run CMAQ (currently need full year) MODIS and NLCD data layers What data are provided/generated BELD coverage (location of agricultural land) Soils Agricultural management All other input files needed to simulate biogeochemistry What do I get out? BELD file required for bidirectional CMAQ (tool provided with SA) Daily agricultural depth of fertilizer application and fertilizer amount Initial soil chemistry status Other N pool information that can be used to support further CMAQ model development, e.g., new NO model.

FESTC V1.2 System : Enhancement and Updates Environmental Policy Integrated Climate model FEST-C interface Addition of tile drain management option for crops Improved evapotranspiration parameterization Improved pasture and wheat management User-defined ambient CO2 concentration Elevation input update Average N deposition input options (2002-2006, 2006 – 2010) R post-processing tool kit

FESTC V1.2: Applications Support to the 2014 NEI China air quality simulations Exploring land use and emissions changes One-Biosphere integration

Contributions to 2014 NEI FEST-C results provide “fertilizer activity” data and drive bidirectional CMAQ estimates of agricultural soil NH3 emissions for the 2014 NEI. They offer an alternative to previous Carnegie-Mellon University model estimates.

Bidirectional CMAQ/FEST-C for China Bidirectional CMAQ/FEST-C ambient NH3 estimates show better general agreement with observations, particularly during high-concentration periods in November. bidi nobidi NMB 5.0% 21.4% NME 34.9% 57.3% (Fu et al., 2015) http://www.atmos-chem-phys.net/15/6637/2015

Exploring Multimedia Consequences of Land Use Change Projected Grain Corn Increases Soil NH3 Emission Response Bidirectional CMAQ can simulate Nr emission (and deposition) response to FEST-C estimates of N fertilizer application and land use or land management changes.

Linking Air, Land and Water CMAQ and FEST-C are part of a One-Biosphere modeling system that explores hypoxia in the northern Gulf of Mexico associated with N loads from the Mississippi River and atmospheric deposition. Here we compare nitrate loads without (HAWQS) and with CMAQ and FEST-C (EPIC) inputs. SWAT is a USDA water quality model. EPA Office of Water uses its HAWQS interface to run SWAT. This figure compares monthly streamflow and NO3 from HAWQS and SWAT-EPIC to USGS 07373420 obs near St. Francisville, LA.

Future Enhancements New release with improved N (N2O emissions), Carbon and soil water algorithms and modular code design (FY17) Eliminate need for full year of MCIP input (FY17) Wind erosion (FY17) Additional output variables to support One Biosphere modeling e.g., Harmful Algal Blooms (HAB’s) and Northern Gulf of Mexico hypoxia prediction (FY17) LAI estimates for natural mix forest stands (bidi implementation in FY18) Full implementation of vegetation and hydrologic cycle (ET) response to increasing CO2 (run with dynamically downscaled WRF-Climate inputs) (FY18)