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- Creator:
- Kort, Eric A, Plant, Genevieve, and Dacic, Natasha
- Description:
- Ensemble of optimized posterior N2O (nitrous oxide) fluxes derived from a Bayesian Inversion framework and in-situ aircraft observations of Iowa in 2021 (May 26, 2021 – June 4, 2021) and 2022 (May 18, 2022 – May 31, 2022) from “Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa,” citation below. For each flight day there (12 in total), there are three separate files that represent fluxes derived for three distinct spatial resolutions. Further details about the ensemble members are provided in Dacic, Plant, & Kort (2024). Citation: Dacic N, Plant G, Kort EA, “Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa,” in revisions for JGR: Atmospheres.
- Keyword:
- nitrous oxide, N2O, agriculture, soil, Iowa
- Citation to related publication:
- Dacic N, Plant G, Kort EA, “Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa,” in revisions for JGR: Atmospheres
- Discipline:
- Science
2. Aircraft Data (2021) for Measurement of Agriculture Illuminating farm-Zone Emissions of N2O (MAIZE)
- Creator:
- Kort, Eric A., Plant, Genevieve, and Dacic, Natasha
- Description:
- As part of the Measurement of Agriculture Illuminating farm-Zone Emissions of N2O (MAIZE) project, in 2021 the aircraft platform sampled the agriculture regions of Nebraska and Iowa. Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data files contains the merged data for each individual file day.
- Keyword:
- Greenhouse Gas, Agriculture , and Nitrous Oxide
- Citation to related publication:
- Gvakharia A, Kort EA, Smith M, Conley S, Testing and evaluation of a new airborne system for continuous N2O, CO2, CO, and H2O measurements: the Frequent Calibration High-performance Airborne Observation System (FCHAOS), Atmos. Meas. Tech. 11, 6059-6074, https://doi.org/10.5194/amt-11-6059-2018, 2018, Conley S, Faloona I.C, Lenschow D.H, Karion A, Sweeney S, (2014) A low-cost system for measuring horizontal winds from single-engine aircraft, Journal of Atmospheric and Oceanic Technology, 31(6), 1312-1320, https://doi.org/10.1175/JTECH-D-13-00143.1, Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa" by Natasha Dacic, Genevieve Plant, and Eric A Kort. Journal of Geophysical Research: Atmospheres. Submitted., and 2022 dataset: Kort, E. A., Plant, G., Dacic, N. (2024). Aircraft Data (2022) for Measurement of Agriculture Illuminating farm-Zone Emissions of N2O (MAIZE) [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/tmfd-nw87
- Discipline:
- Science
3. Aircraft Data (2022) for Measurement of Agriculture Illuminating farm-Zone Emissions of N2O (MAIZE)
- Creator:
- Kort, Eric A, Plant, Genevieve, and Dacic, Natasha
- Description:
- As part of the Measurement of Agriculture Illuminating farm-Zone Emissions of N2O (MAIZE) project, in 2022 an aircraft platform sampled atmospheric concentrations of nitrous oxide (N2O) in the agriculture regions of Iowa. Vertical profiles were conducted on each flight to capture the vertical structure and mixing depths of the atmosphere. The data files contain the merged data for each individual flight day.
- Keyword:
- Greenhouse Gases, Nitrous Oxide, and Agricultural soils
- Citation to related publication:
- Airborne measurements reveal high spatiotemporal variation and the heavy-tail characteristic of nitrous oxide emissions in Iowa" by Natasha Dacic, Genevieve Plant, and Eric A Kort. Journal of Geophysical Research: Atmospheres. Submitted. and 2021 dataset: Kort, E. A., Plant, G., Dacic, N. (2022). Aircraft Data (2021) for Measurement of Agriculture Illuminating farm-Zone Emissions of N2O (MAIZE) [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/0jvh-0c91
- Discipline:
- Science
- Creator:
- Lojko, Alexander, Zhang, Yingxiao, Whitcomb, Morgan, Yang, Emily, Dacic, Natasha, and Holmes, Janelle
- Description:
- GIS (.lpkx) data layers that inform of areas to construct new rain gardens in Washtenaw County, Ann Arbor, Michigan. Data layers can be opened with a GIS program. There is a single .lpkx dataset that contains four layers. The first layer contains 'Wildlife Corridors' which contains information on where to prioritize new green infrastructure based on how well-connected different patches of forested areas are. The second layer, 'Social Inequality', shows where to prioritize new rain gardens based on social inequality criteria. The 'Creeksheds and Future Runoff' contains information on future changes in precipitation runoff based on climate change projections of rainfall. Lastly, 'Runoff/Water Quality' is a layer that includes a priority map regarding where new rain gardens should be developed based on areas that are most at risk of poor water quality and enhanced surface run-off. The project was completed for Washtenaw County Water Resources as part of a course taught at the University of Michigan, CLIMATE 592. A description of the course is also provided: "Introduction to individual and team research on real-world problems in the area of applied climate. On a research project started in CLIMATE 591 and guided by a mentor from a commercial or government laboratory, students will apply the principles of risk analysis and objective assessment of adaptive strategies".
- Keyword:
- GIS, Climate Change, Local, Community, and Graduate Student Project
- Citation to related publication:
- Dacic, N., Lojko, A., Zhang, Y., Yang, E., Whitcomb, M., Bassis, J., and Rood., R.B., 2023 'Modernizing the Climate Science Curriculum: Engaging in Local Government Collaboration Projects', In Preperation for the Bulletin of American Meteorological Society
- Discipline:
- Science