Figure 4, Cropland Reallocation
This is a netCDF formatted data file. All data values are reported as grid cell area percent (%). Since all simulation grid cells are of uniform area. Reallocation in terms of hectares can be computed as (variable _value*14400). Data values may be displayed spatially using any number of viewers including VERDI which is open source software that can be downloaded free of charge from http://www.cmascenter.com.
Each data file contains 29 data layers for each of 30 reallocation variables (crops). We assume there is no irrigated CRP land area (variable 30). Each variable value represents the simulation grid cell area that is reallocated from one crop (data layer) to that variable.
This dataset is associated with the following publication:
Cooter, E., R. Dodder, J. Bash, A. Elobeid, L. Ran, V. Benson, and D. Yuan. Exploring a United States Maize Cellulose Biofuel Scenario Using an Integrated Energy and Agricultural Markets Solution Approach. Annals of Agricultural & Crop Sciences. Austin Publishing Group, Jersey City, NJ, USA, 2(2): 1031, (2017).
Complete Metadata
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"fn": "Ellen Cooter",
"hasEmail": "mailto:cooter.ellen@epa.gov"
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| describedByType | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| description | This is a netCDF formatted data file. All data values are reported as grid cell area percent (%). Since all simulation grid cells are of uniform area. Reallocation in terms of hectares can be computed as (variable _value*14400). Data values may be displayed spatially using any number of viewers including VERDI which is open source software that can be downloaded free of charge from http://www.cmascenter.com. Each data file contains 29 data layers for each of 30 reallocation variables (crops). We assume there is no irrigated CRP land area (variable 30). Each variable value represents the simulation grid cell area that is reallocated from one crop (data layer) to that variable. This dataset is associated with the following publication: Cooter, E., R. Dodder, J. Bash, A. Elobeid, L. Ran, V. Benson, and D. Yuan. Exploring a United States Maize Cellulose Biofuel Scenario Using an Integrated Energy and Agricultural Markets Solution Approach. Annals of Agricultural & Crop Sciences. Austin Publishing Group, Jersey City, NJ, USA, 2(2): 1031, (2017). |
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"title": "Figure4.zip",
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| identifier | https://doi.org/10.23719/1418266 |
| keyword |
[
"CMAQ",
"EPIC",
"Hypoxia",
"MARKAL",
"Mississippi River Basin",
"Northern Gulf of Mexico",
"air quality",
"integrated multimedia systems modeling",
"land quality",
"national",
"scenarios",
"water quality"
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| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2018-01-29 |
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"name": "U.S. EPA Office of Research and Development (ORD)",
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| references |
[
"http://austinpublishinggroup.com/agriculture-crop-sciences/fulltext/aacs-v2-id1031.php"
]
|
| rights |
null
|
| title | Figure 4, Cropland Reallocation |