Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Integrating Cropland Management into.

Slides:



Advertisements
Similar presentations
Economics of GHG Management in the LULUCF sector Michael Obersteiner JRC Improving the Quality of Community GHG Inventory… rd Sept
Advertisements

Limei Ran 1, Uma Shankar 1, Ellen Cooter 2, Aijun Xiu 1, Neil Davis 1 1 Center for Environmental Modeling for Policy Development, Institute for the Environment,
Jake Stuckey.  Cover Crops: Are crops planted between main crops to prevent erosion or to enrich the soil. A Cocktail cover crop is a mixture of different.
Sustainability in Agriculture Jennifer Elwell Kentucky Corn Growers/Kentucky Small Grain Growers Farm PR Network.
FEST-C for Bi-directional CMAQ: Update Ellen Cooter U.S. EPA, National Exposure Research Lab, Research Triangle Park, NC Verel Benson Benson Consulting,
The Development of a Forest Module for POLYSYS Burton English, Daniel De La Torre Ugarte, Kim Jensen, Jamey Menard and Don Hodges USFS Forest Products.
Conservation Effects Assessment Project (CEAP) Measuring the Environmental Benefits of Conservation Managing the Agricultural Landscape for Environmental.
Development of an Agricultural Fertilizer Modeling System for Bi-directional Ammonia Fluxes in the Community Multiscale Air Quality (CMAQ) Model Limei.
Global Particulate Matter (PM 10 and PM 2.5 ) Emissions from Agricultural Tilling and Harvesting 1 Northeast Institute of Geography and Agroecology, Chinese.
North American Croplands Richard Massey & Dr. Teki Sankey.
CENTRAL MISSISSIPPI RIVER BASIN (CMRB) LTAR USDA-ARS Columbia Missouri Translating Missouri USDA-ARS Research and Technology into Practice A training session.
QbQb W2W2 T IPIP Redistribute W 0 W 1 and W 2 to Crop layers Q W1W1 ET 0, W 0, W 1, W 2 I T from 0, 1 & 2, I P A Coupled Hydrologic and Process-Based Crop.
impacts on agriculture and water resources
Nursery Production 3 Commercial Plant Production.
Measuring Carbon Co-Benefits of Agricultural Conservation Policies: In-stream vs. Edge-of-Field Assessments of Water Quality. Measuring Carbon Co-Benefits.
Vulnerability and Adaptation Assessments Hands-On Training Workshop Impact, Vulnerability and Adaptation Assessment for the Agriculture Sector – Part 2.
Section:Plant & Soil Science Section:Plant & Soil Science Unit:Soil Management Unit:Soil Management Lesson Title: Use of Cropping Systems for Fertility.
Cotton Modeling to Assess Climate Change and Crop Management December 2005 V. R. Reddy 1 and K. R. Reddy 2 1 USDA-ARS, Crop Systems and Global Change Laboratory,
Co-Benefits from Conservation Policies that Promote Carbon Sequestration in Agriculture: The Corn Belt CARD, Iowa State University Presented at the Forestry.
JRC-AL: WORKSHOP, DATE DNDC-EUROPE Adrian Leip, Joint Research Centre 1.DNDC-EUROPE: quick description of concept and status 2.Improvement of HSMU-layer.
Operational Agriculture Monitoring System Using Remote Sensing Pei Zhiyuan Center for Remote Sensing Applacation, Ministry of Agriculture, China.
National Mapping Division EROS Data Center U. S. Geological Survey U.S. Geological Survey Earth Resources Operation Systems (EROS) Data Center World Data.
Acreage Estimation ITEM CROPLAND DATA LAYERS - In Season Post Season Total CDL's2148 ESTIMATES PRODUCED State.
Bio-physical Impacts of biomass crop management in Agriculture Christine Heumesser and Erwin Schmid University of Natural Resources and Life Sciences.
Office of Research and Development National Exposure Research Laboratory | Atmospheric Modeling and Analysis Division| A Tale of Two Models: A Comparison.
Mrs. Schaffner. the science and technology of producing and using plants for food, fuel, feed, fiber, and reclamation.
Assessing Alternative Policies for the Control of Nutrients in the Upper Mississippi River Basin Catherine L. Kling, Silvia Secchi, Hongli Feng, Philip.
An Application of Field Monitoring Data in Estimating Optimal Planting Dates of Cassava in Upper Paddy Field in Northeast Thailand Meeting Notes.
Advances in Support of the CMAQ Bidirectional Science Option for the Estimation of Ammonia Flux from Agricultural cropland Ellen Cooter U.S. EPA, National.
BROUGHT TO YOU BY: BUILDING ENVIRONMENTAL LEADERS IN ANIMAL AGRICULTURE WELCOME TO MANURE MANAGEMENT JEOPARDY! Section 1 Nutrient Management Building Environmental.
Assessing bi-directional ammonia transport using the Community Multi-Scale Air Quality (CMAQ) Model Megan L. Gore and Viney P. Aneja Department of Marine,
Modeling the Greenhouse gases of cropland/grassland At European scale N. Viovy, S. Gervois, N. Vuichard, N. de Noblet-Ducoudré, B. Seguin, N. Brisson,
Spatial and temporal patterns of CH 4 and N 2 O fluxes from North America as estimated by process-based ecosystem model Hanqin Tian, Xiaofeng Xu and other.
North American Croplands Teki Sankey and Richard Massey Update: 11/20/2014.
Agriculture Problems and Solutions…. The Industrialization of Farming 1 st Green Revolution –1950 – 1970 –Monocultures –High Yields LARGE inputs of pesticides,
Chapter 13 Food Resources Food supply and infrastructure Dust Bowl & Green Revolution Low input vs. high input (conventional) farming How we get our food.
Development and Preliminary Results of Image Processing Tools for Meteorology and Air Quality Modeling Limei Ran Center for Environmental Modeling for.
SOIL SUITABILITY AND MANAGEMENT FOR POTATO PRODUCTION NextEnd.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.
Croplands.org Aiming to release to public in next couple weeks. There will likely be a separation of work space from public space.
An Evaluation of the Economic and Environmental Impacts of the Corn Grain Ethanol Industry on the Agricultural Sector Western Agricultural Economics Association.
How Will Farmers Respond to High Fuel and Fertilizer Prices? Damona Doye Regents Professor and Extension Economist Oklahoma State University.
4/25/2017 VIC-CropSyst Sep 16, 2011 Template I-Grey curve.
Pre-workshop exercise on SOC stock simulation / calibration of DNDC Steven Sleutel Dept. Soil Management & Soil Care Ghent University.
William G. Benjey* Physical Scientist NOAA Air Resources Laboratory Atmospheric Sciences Modeling Division Research Triangle Park, NC Fifth Annual CMAS.
North American Croplands Teki Sankey and Richard Massey.
Plant Science Crop ID. Cotton Flower Cotton Leaf.
WRAP RMC Phase II Wind Blown Dust Project Results & Status ENVIRON International Corporation and University of California, Riverside Dust Emission Joint.
Whole Farm Simulation and Nutrient Management USDA, Agricultural Research Service University Park, Pennsylvania C. Alan Rotz USDA / ARS.
Regional Gross Nutrient Balances Hungary RISSAC HCSO.
Additions crop residues manures composts losses CO 2 (respiration of soil organisms) erosion soil organic matter Figure 3.1. Additions and losses of organic.
A Systems Approach to the Estimation of Ecosystem and Human Health Stressors in Air, Land and Water Ellen Cooter 1, Robin Dennis 1, Jesse Bash 1, Michelle.
Limei Ran 1, Ellen Cooter 2, Verel Benson 3, Dongmei Yang 1, Robert Gilliam 2, Adel Hanna 1, William Benjey 2 1 Center for Environmental Modeling for Policy.
Advances in Support of the CMAQ Bidirectional Science Option for the Estimation of Ammonia Flux from Agricultural cropland Ellen Cooter U.S. EPA, National.
Manure and Environmental Impacts Amber Moore et al. Extension Soil Fertility Specialist University of Idaho Twin Falls, Idaho.
Robin L. Dennis, Jesse O. Bash, Kristen M. Foley, Rob Gilliam, Robert W. Pinder U.S. Environmental Protection Agency, National Exposure Research Laboratory,
Nitrogen Budgets for the Mississippi River Basin using the linked EPIC-CMAQ-NEWS Models Michelle McCrackin, Ellen Cooter, Robin Dennis, Jana Compton, John.
Figure 1. Rodale Farming Systems Trial with rotations. Note the presence of cover crops and amendment in organic systems. Synthetic fertilizer herbicide.
Soil Water Management Through Cropping Systems Chris Augustin NDSU Soil Health Extension Specialist
Updates to model algorithms and inputs for the Biogenic Emissions Inventory System (BEIS) model Jesse Bash, Kirk Baker, George Pouliot, Donna Schwede,
Ellen Cooter1, Limei Ran1, Verel Benson2, Dongmei Yang3,
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.
C. Kallenbach1. , W. Horwath1, Z. Kabir1, J. Mitchell2, D
17th Annual CMAS Conference, Chapel Hill, NC: October 22-24, 2018
Biogeochemical Causes and Consequences of Land Use Change
Soil Erosion Explain why soil is important.
RC Izaurralde – JGCRI With contributions from NJ Rosenberg – JGCRI
JEHN-YIH JUANG, Donna Schwede, and Jon Pleim
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.
In-field Experiment.
Presentation transcript:

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Integrating Cropland Management into Bidirectional CMAQ Ellen J. Cooter and Jesse Bash Atmospheric Modeling and Analysis Division NERL, EPA Verel Benson Benson Consulting, Columbia, MO Li Mei Ran UNC Institute for the Environment, Chapel Hill, N C

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division CMAQ 5.0 Implementation Bidirectional pilot and CMAQ 5.0 Beta studies show nitrogen deposition estimates improve when soil ammonia emissions are estimated using a compensation point flux approach coupled with more temporally and spatially detailed agricultural land management information. A full implementation of this approach has been completed for CMAQ 5.0 (see Jesse Bash, October 24 presentation). This presentation focuses on the agricultural fertilizer management inputs required for the CMAQ5.0 bidirectional science option. 2

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division What inputs are required for CMAQ 5.0? 3 -Daily Fertilizer (kg-N/ha) application amount -Daily fertilizer depth -Initial managed soil pH For each crop within each CMAQ domain grid cell Technical questions regarding the content of these files should be submitted to Ellen Cooter, Submit requests to receive copies of these files to Jesse Bash, Sample data sets containing this information have been prepared for the 12km CONUS domain and are available on request

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Fertilizer Management Implementation for CMAQ 5.0 Fertilizer application rates and management practices are simulated by a biogeochemical model Simulation of a mix of organic (manure) and inorganic N-fertilizer forms applied at form-specific depth 42 commercial crops (irrigated and rainfed) 10 USDA Production areas Crop-area distributions use 2002 USDA Census of Agriculture and 2001 NLCD and MODIS landcover data. 4

A.Unsheltered tilled Cropland B.Shelterbelt C.Sheltered tilled cropland D.Conservation cover 5 Leaving Field - sediment - water Deposition - within field - base of slope The Environmental Policy Integrated Climate (EPIC) model Developed in early 1980’s to assess the effect of wind and water erosion on productivity Water Erosion Wind Erosion

6 Parton et al., 1994 (CENTURY) modified and added to EPIC as described in Izauralde, et al., 2006 EPIC carbon and nitrogen processes have been recently enhanced

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Crops Modeled (irrigated and rainfed) Grass Hay Alfalfa Hay Other grasses Barley Canola Edible Beans Edible Peas Grain Corn Corn for Silage Cotton Oats Peanuts Potatoes Rice Rye (winter and spring) Grain Sorghum Sorghum for Silage Soybeans Winter Wheat Spring Wheat Other Crops 7

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division 8 Fertilize

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division U.S. Farm Production Regions 9

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division 10 DEC NOV OCT SEPT AUG Fertilizer Application Amount and Timing

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division 11 So how good are these estimates?

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Preliminary Evaluation Plant and Harvest Dates 12

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Preliminary Evaluation Annual Fertilizer Application 13 EPIC Plant-Demand Based Ruddy et al., 2006 USGS 2001 Sales-based USDA 1997 Survey-based NEI 2002 (via CMU) Sales-based USDA 1997 Survey-based

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division 14 The bi-directional flux science option of CMAQ 5.0 yields improved nitrogen deposition estimates, but requires detailed information regarding fertilizer management. Fertilizer management and biogeochemical scenarios have been developed for the continental U.S. Preliminary evaluation indicates these scenarios reflect reasonable temporal and spatial distributions of fertilizer management. A file of fertilizer-related inputs based on these scenarios is available on request for the CMAQ 5.0 CMAQ 12km CONUS domain to support the bi-directional flux science option. Summary

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Future Improvements 15 Year Specific estimates Support for other CMAQ resolutions and domains Refined farm management Update BELD to 2006 NLCD and Agricultural Census Add detailed Mexico and Canada treatment