The ALFAM2 database has measurements of ammonia volatilization (emission) from field-applied liquid animal manure (slurry). The dataset consists of two files: one with plot- (ALFAM2_plot.csv) and one with measurement interval-level (ALFAM2_interval.csv) observations. For information on file headers (column names), see the *-level_variables.csv files. The two data files can be merged on two plot keys (identification codes): pid and pmid. See the README.md file in the GitHub repository at https://github.com/sashahafner/ALFAM2-data, the web page https://projects.au.dk/alfam/ (or alfam.dk), and the reference and related identifiers here on the Zenodo page for more details. The ALFAM2-data GitHub repository also has original submissions from data contributors along with scripts necessary for processing the data to create the dataset shown here. Each Zenodo version can be matched to the GitHub versions through the release tags (see the releases page for a list: https://github.com/sashahafner/ALFAM2-data/releases)

An implementation of the ALFAM2 dynamic emission model for ammonia volatilization from field-applied animal slurry (manure with dry matter below about 15%). The model can be used to predict cumulative emission and emission rate of ammonia following field application of slurry. Predictions may be useful for emission inventory calculations, fertilizer management, assessment of mitigation strategies, or research aimed at understanding ammonia emission. Default parameter sets include effects of application method, slurry composition, and weather. The model structure is based on a simplified representation of the physical-chemical slurry-soil-atmosphere system. See Hafner et al. (2018) for information on the model and Hafner et al. (2019) for more on the measurement data used for parameter development. Licence: GPL-3 Version: 4.1.3 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.8), stats LinkingTo: Rcpp Suggests: tinytest, knitr, rmarkdown