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Publications

Books

2020
    2019
      2018
      • Brevik, Eric C., J. A. Homburg, and J. A. Sandor (2018): Soils, Climate, and Ancient Civilizations. Climate Change Impacts on Soil Processes and Ecosystem Properties, Chap. 1, pp.1-28. https://doi.org/10.1016/B978-0-444-63865-6.00001-6

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      • Chu, X. (2018): Quantifying Discontinuity, Connectivity, Variability, and Hierarchy in Overland Flow Generation: Comparison of Different Modeling Methods. In: Singh V., Yadav S., Yadava R. (eds) Hydrologic Modeling. Water Science and Technology Library, vol 81. Springer, Singapore. DOI: 10.1007/978-981-10-5801-1_41.

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      2017
      • Pereira, P., E.C. Brevik, M. Muñoz-Rojas and B. Miller, eds. (2017): Soil Mapping and Process Modeling for Sustainable Land Use Management, Elsevier, 386 pp. doi.org/10.1016/B978-0-12-805200-6.00013-X.

      Journal Articles (Peer Reviewed)

      2020
      • Chu, X., Grimm, K., Depression threshold control proxy to improve HEC-HMS modeling of depression-dominated watersheds, North Dakota State University, Journal Article, 2019-10, Hydrological Sciences Journal, Volume 65 (2), Pages 200-211, <a href=”https://www.tandfonline.com/doi/full/10.1080/02626667.2019.1690148“, >https://www.tandfonline.com/doi/full/10.1080/02626667.2019.1690148</a>

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      • Chu, X., Nasab, M., Macro-HyProS: A New Macro-scale Hydrologic Processes Simulator for Depression-dominated Cold Climate Regions, North Dakota State University, Journal Article, 2019-11, Journal of Hydrology, Volume 580, Pages 1-20, <a href=”https://www.sciencedirect.com/science/article/pii/S0022169419311011“>,

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      • Chu, X., Wang, N. A new algorithm for delineation of surface depressions and channels, North Dakota State University, Journal Article, 2019-12, Water, Volume 12, Pages 1-14, <a href=”https://www.mdpi.com/2073-4441/12/1/7“>, https://www.mdpi.com/2073-4441/12/1/7</a>

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      • Jiyang Zhang, Haochi Zheng, Changes in Regional Snowfall in Central North America (1961-2017): Mountain vs. Plains, University of North Dakota, Center for Regional Climate Studies (CRCS), 2019-12-07, American Geologic Union (AGU) 2019 Fall meeting in San Francisco

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      • Jiyang Zhang, Haochi Zheng, Xiaodong Zhang, Jeffrey VanLooy, Changes in Regional Snowfall in Central North America (1961-2017): Mountain vs. Plains, University of North Dakota, Center for Regional Climate Studies (CRCS), 2020-02-01, 2020-04, https://www.mdpi.com/2076-3263/10/5/157</a>

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      • Roberts, D., Water Allocation Using the Bankruptcy Model: A Case Study of the Missouri River, North Dakota State University, Journal Article, 2020-02, Water, Volume 12 (3), Pages 619-633, https://doi.org/10.3390/w12030619</a>

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      • Shabani, A., Zhang, X., Chu, X., Zheng, H., Mitigating Impact of Devils Lake Flooding on the Sheyenne River Sulfate Concentration, University of North Dakota, North Dakota State University, Journal Article, 2019-12, Journal of the American Water Resources Association, Pages 1-13, <a href=”https://onlinelibrary.wiley.com/doi/abs/10.1111/1752-1688.12825“

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      2019
      • Brevik, E. C., L. Pereg, P. Pereira, J. J. Steffan, L. C. Burgess, C. I. Gedeone (2019): Shelter, clothing, and fuel: Often overlooked links between soils, ecosystem services, and human health, Science of the Total Environment, Volume 651, Part 1, 15 February 2019, Pages 134-14, https://doi.org/10.1016/j.scitotenv.2018.09.158

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      • Burke, M., B. Rundquist, H. Zheng (2019): Detection of Shelterbelt Density Change Using Historic APFO and NAIP Aerial Imagery. Remote Sensing, https://www.mdpi.com/2072-4292/11/3/218/htm

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      • Chu, X., Z. Lin, M.T. Nasab, L. Zeng, K. Grimm, M.H. Bazrkar, N. Wang, X. Liu, X. Zhang, H. Zheng, Macro-scale grid-based and subbasin-based hydrologic modeling: joint simulation and cross-calibration. Journal of Hydroinformatics, 1 January 2019; 21 (1): 77–91. doi: https://doi.org/10.2166/hydro.2018.026

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      • Gulbin, S., A. Kirilenko, G. Kharel, X. Zhang (2018): Wetland loss impact on long term flood risks in a closed watershed, Env. Sci. & Policy, 22 Jan 2019, https://doi.org/10.1016/j.envsci.2018.12.032

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      • Kennedy, A., Hagenhoff, B., A Regime Based Evaluation of Southern and Northern Great Plains Warm Season Precipitation Events in WRF, University of North Dakota, Journal Article, 2019-07, AMS Weather and Forecasting

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      • Kennedy, A., Trellinger, A., Gust, G., A Climatology of Atmospheric Patterns Associated with Red River Valley Blizzards, University of North Dakota, Journal Article, 2019-05 Climate 7 (5), Article 66, <a href=”https://www.mdpi.com/2225-1154/7/5/66“>, https://www.mdpi.com/2225-1154/7/5/66</a>

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      • King A., A. Kennedy (2019): North American Supercell Environments in Atmospheric Reanalyses and RUC-2. JAMC https://doi.org/10.1175/JAMC-D-18-0015.1

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      • Starr, J., Zheng, H., Zhang, J., Evaluating sensitivities of economic factors through coupled Economics-ALMANAC model system, University of North Dakota, Journal Article, 2019-05, Agronomy Journal , Volume 111 (4), Pages 1865-1878, <a href=”Https://dl.sciencesocieties.org/publications/aj/first-look/“>, Https://dl.sciencesocieties.org/publications/aj/first-look/</a>

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      • Wang, N., X. Zhang, X. Chu (2019): New Model for Simulating Hydrologic Processes under Influence of Surface Depressions. ASCE https://doi.org/10.1061/(ASCE)HE.1943-5584.0001772

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      • Zhang, J., Jaker, S., Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the VIIRS Day/Night Band, University of North Dakota, Journal Article, 2019-06, Atmospheric Measurement Techniques, Volume 12 (6), Pages 3209–3222, <a href=”https://www.atmos-meas-tech.net/12/3209/2019/amt-12-3209-2019.pdf“, >https://www.atmos-meas-tech.net/12/3209/2019/amt-12-3209-2019.pdf</a>

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      2018
      • Brevik, E. C., J. J. Steffan, J. Rodrigo‐Comino, D. N. Lynn, C. Burgess, A. Cerdà (2018): Connecting the public with soil to improve human health. European Journal of Soil Science, 19 Nov 2018, https://doi.org/10.1111/ejss.12764

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      • Brevik, E. C., L. Pereg, J. J. Steffan, and L. C. Burgess (2018): Soil ecosystem services and human health, Current Opinion in Environmental Science & Health, Oct 2018, Volume 5, July 2018, Pages 87-92, https://doi.org/10.1016/j.coesh.2018.07.003

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      • Brevik, Eric C., J. A. Homburg, and J. A. Sandor (2018): Soils, Climate, and Ancient Civilizations. Climate Change Impacts on Soil Processes and Ecosystem Properties, Chap. 1, pp.1-28. https://doi.org/10.1016/B978-0-444-63865-6.00001-6

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      • Burke, M. W. V., M. Shahabi, Y. Xu, H. Zheng, X. Zhang, and J. VanLooy (2018): Identifying the Driving Factors of Water Quality in a Sub-Watershed of the Republican River Basin, Kansas USA, Published online 2018 May 22. doi: 10.3390/ijerph15051041

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      • Chu X., J. Xinhua, and L. Yang, 2018: Quantification of wetting front movement under the influence of surface topography. Soil Research 56, 382-395. doi: 10.1071/SR17071.

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      • Chu, X. (2018): Quantifying Discontinuity, Connectivity, Variability, and Hierarchy in Overland Flow Generation: Comparison of Different Modeling Methods. In: Singh V., Yadav S., Yadava R. (eds) Hydrologic Modeling. Water Science and Technology Library, vol 81. Springer, Singapore. DOI: 10.1007/978-981-10-5801-1_41.

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      • Clint R. V. Otto, Haochi Zheng, Alisa L. Gallant, Rich Iovanna, Benjamin L. Carlson, Matthew D. Smart, and Skip Hyberg, (2018): Past role and future outlook of the Conservation Reserve Program for supporting honey bees in the Great Plains, PNAS July 17, 2018 115 (29) 7629-7634; https://doi.org/10.1073/pnas.1800057115

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      • Goines, D.C. and A. Kennedy, 2018: Precipitation from a Multi-Year Database of Convection-Allowing WRF Simulations. JGR Atmospheres, 123 doi: 10.1002/2016JD026068

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      • Grimm, K., M. T. Nasab, and X. Chu (2018), TWI Computations and Topographic Analysis of Depression-Dominated Surfaces, Water 2018, 10(5), 663; https://doi.org/10.3390/w10050663

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      • Grimm, K., X. Chu (2018): Modeling of spatiotemporal variations in runoff contribution areas and analysis of hydrologic connectivity. Land Degradation & Development Vol. 29, Iss. 8, 23 June 2018 https://doi.org/10.1002/ldr.3076

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      • Pereira, P., E.C. Brevik, and S. Trevisani, 2018: Mapping the environment. Sci. Total Environ. 610-611, 17-23. doi: 10.1016/j.scitotenv.2017.08.001.

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      • SWAT Modeling of Non-Point Source Pollution in Depression-Dominated Basins under Varying Hydroclimatic Conditions. Int. J. Environ. Res. Public Health 2018, 15, 2492. DOI:10.3390/ijerph15112492

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      • Toth, T. D., J. R. Campbell, J. S. Reid, J. L. Tackett, M. A. Vaughan, J. Zhang, and J. W. Marquis, 2018: Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products. Atmos. Meas. Tech., 11, 499-514, doi: 10.5194/amt-11-499-2018

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      • Wachenheim, C., D.C. Roberts, N. Dhingra, W. Lesch and J. Devney: Conservation Reserve Program enrollment decisions in the Prairie Pothole Region. doi: 10.2489/jswc.73.3.337 Journal of Soil and Water Conservation May/June 2018 vol. 73 no. 3 337-352 http://www.jswconline.org/content/73/3/337

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      • Zhang, X., L. Hu (2018): Anomalous Light Scattering by Pure Seawater, Appl. Sci. 2018, 8(12), 2679; https://doi.org/10.3390/app8122679

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      2017
      • Alfaro-Contreras, R., J. Zhang, J.S. Reid and S. Christopher, 2017: A study of 15-year aerosol optical thickness and direct shortwave aerosol radiative effect trends using MODIS, MISR, CALIOP and CERES. Atmos. Chem. Phys., 17, 13849-13868, 10.5194/acp-17-13849-2017.

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      • Barnhart, P., and E. H. Gillam, 2017: Documentation of overwinter bat species presence and hibernacula use in the badlands of North Dakota Northwestern Naturalist, 98 (1), 48-56. https://doi.org/10.1898/NWN15-34.1.

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      • Bingqiang S., P. Yang, G. W. Kattawar, and X. Zhang, 2017: Physical-geometric optics method for large size faceted particles. Opt. Express. 25, 24044-24060. doi: https://doi.org/10.1364/OE.25.024044

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      • Bogunovic I., P. Pereira, and E.C. Brevik, 2017: Spatial distribution of soil chemical properties in an organic farm in Croatia, Sci Total Environ. Apr 15, 584-585:535-545. doi: 10.1016/j.scitotenv.2017.01.062.

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      • Bu, H., L. K. Sharma, A. Denton, and D. W. Franzen, 2017: Comparison of Satellite Imagery and Ground-Based Active Optical Sensors as Yield Predictors in Sugar Beet, Spring Wheat, Corn, and Sunflower. Agron. J. 109 299-308. doi:10.2134/agronj2016.03.0150

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      • Liu, X., N. Wang, J. Shao and X. Chu, 2017: An automated processing algorithm for flat areas resulting from DEM filling and interpolation. ISPRS International Journal of Geo-Information , 6 (11), 376:1-14, doi:10.3390/ijgi6110376.

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      • Nelson, J. J., and E. H. Gillam<,/a> 2017: Selection of Foraging Habitat by Female Little Brown Bats (Myotis lucifugus). J Mammal, 98 (1), 222-231. doi: 10.1093/jmammal/gyw181

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      • Pereira, P., E.C. Brevik, M. Muñoz-Rojas and B. Miller, eds., 2017: Soil Mapping and Process Modeling for Sustainable Land Use Management, Elsevier, 386 pp.doi.org/10.1016/B978-0-12-805200-6.00013-X

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      • Shabani, A., X. Zhang, and M. Ell, 2017: Modeling Water Quantity and Sulfate Concentrations in the Devils Lake Watershed Using Coupled SWAT and CE‐QUAL‐W2. Journal of the American Water Resources Association (JAWRA) 53(4):748–760. doi: 10.1111/1752-1688.12535

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      • Tahmasebi Nasab, M. J. Zhang, X. Chu, 2017: A new depression-dominated delineation (D-cubed) method for improved watershed modeling. Hydrological Processes. 31 (19), 3364-3378. doi:10.1002/hyp.11261

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      • Tahmasebi Nasab, M., V. Singh, X. Chu, 2017: SWAT Modeling for Depression-Dominated Areas: How Do Depressions Manipulate Hydrologic Modeling? Water, 9(1), 58. doi:10.3390/w9010058

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      • Wang, X., X. Chu, T. Liu, X. Cheng, and R. Whittecar, 2017: Water-soil-vegetation dynamic interactions in changing climate. Water, 9(1), 740:1-8, doi:10.3390/w9100740

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      • Xiong, Y., X. Zhang, S. He, and D. J. Gray (2017): Re-examining the effect of particle phase functions on the remote-sensing reflectance. Appl. Opt. 56, 6881-6888. doi: 10.1364/AO.56.006881

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      • Zhang, X., S. He, A. Shabani, P. Zhai, and K. Du, 2017: Spectral sea surface reflectance of skylight,” Opt. Express, 25 (4), A1-A13. doi: 10.1364/OE.25.0000A1

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      2016
      • Brevik, E. C., A. Baumgarten, C. Calzolari, A. Jordán, C. Kabala, B.A. Miller, and P. Pereira, 2016: Editorial: Historical perspectives and future needs in soil mapping, classification, and pedologic modeling. Geoderma, 264, 253-255. doi: 10.1016/j.geoderma.2015.09.022.

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      • Brevik, E. C., Homburg, J. A., Miller, B. A., Fenton, T. E., Doolittle, J. A., and Indorante, S. J. 2016: Selected highlights in American soil science history from the 1980s to the mid 2010s. Catena, 146, 128-146. doi: 10.1016/j.catena.2016.06.021

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      • Brevik, E. C., Calzolari, C., Miller, B. A., Pereira, P., Kabala, C., Baumgarten, A., and Jordán, A. 2016: Soil mapping, classification, and pedologic modeling: History and future directions. Geoderma. 264: 256-274. doi: 10.1016/j.geoderma.2015.05.017.

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      • Bu, H., Sharma, L. K., Denton, A., and Franzen, D. W. 2016. Sugar beet yield and quality prediction at multiple harvest dates using active-optical sensors. Agron. J. 108: 273-284. doi:10.2134/agronj2015.0268.

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      • Franzen, D. W., Sharma, L. K., Bu, H., and Denton, A.. 2016: Evidence for the ability of active optical sensors to detect sulfur deficiency in corn. Agronomy Journal, 108, 2158-2162. doi:10.2134/agronj2016.05.0287.

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      • Guo, H., Dou, C., Zhang, X., Han, C., and Yue, X. 2016: Earth observation from the manned low earth orbit platforms. ISPRS J. of Photogrammetry and Remote Sensing, 115: 103-118. doi:10.1016/j.isprsjprs.2015.11.004.

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      • Habtezion, N., Nasab, M. Tahmasebi, and Chu, X.. 2016: How does DEM resolution affect microtopographic characteristics, hydrologic connectivity, and modelling of hydrologic processes? Hydrological Processes, 30, 4870-4892. doi:10.1002/hyp.10967.

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      • Kennedy, A., Dong, X., and Xi, B. 2016: Cloud fraction at the ARM SGP site. Reducing uncertainty with self organizing maps. Theor. Appl. Climatol., 124(1), 43-54. doi: 10.1007/s00704-015-1384-3.

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      • Khaledian, Y., Kiani, F., Ebrahimi, S., Brevik, E. C. and Aitkenhead-Peterson, J. (2016): Assessment and monitoring of soil degradation during land use change using multivariate analysis. Land Degrad. Develop., doi: 10.1002/ldr.2541

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      • Khaledian, Y., Pereira, P., Brevik, E. C., Pundyte, N., and Paliulis, D. (2016): The influence of organic carbon and pH on heavy metals, potassium, and magnesium levels in Lithuanian podzols. Land Degrad. Develop., doi: 10.1002/ldr.2638.

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      • Lozano-García, B., Parras-Alcántara, L., and Brevik, E. C.. 2016: Impact of topographic aspect and vegetation (native and reforested areas) on soil organic carbon and nitrogen budgets in Mediterranean natural areas, Science of The Total Environment, 544: 963-970. doi: 10.1016/j.scitotenv.2015.12.022.

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      • Molodtsova, T., Molodtsov, S., Kirilenko, A., Zhang, X., and VanLooy, J. 2016: Evaluating flood potential with GRACE in the United States, Nat. Hazards Earth Syst. Sci., 16, 1011-1018, doi:10.5194/nhess-16-1011-2016.

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      • Sharma, L. K., Bu, H., Denton, A., and Franzen, D. W. 2016: Use of corn height measured with an acoustic sensor improves yield estimation with ground based active optical sensors. Computers and Electronics in Agriculture, 124, 254-262. doi: 10.1016/j.compag.2016.04.016.

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      • Zhang, J., J.S. Reid, M. Christensen, and A. Benedetti, A. 2016: An evaluation of the impact of aerosol particles on weather forecasts from a biomass burning aerosol event over the Midwestern US: Observational-based analysis of surface temperature, Chem. Phys., 16, 6475-6494, doi:10.5194/acp-16-6475-2016.

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      2015
      • Carr, P. M., E.C. Brevik, R.D. Horsley, and G.B. Martin, 2015: Long-term no-tillage sequesters soil organic carbon in cool semiarid regions. Soil Horiz. 56(6), 1-7. doi:10.2136/sh15-07-0016

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      • Choi, J., D. Roberts, and E. Lee, 2015: Forecasting oil production in North Dakota using the seasonal autoregressive integrated moving average (S-ARIMA). Natural Resources, 6(1), 16-26. doi: 10.4236/nr.2015.61003.

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      • Choi, J., Hearne, R., Lee, K., and Roberts, D. 2015: The relation between water pollution and economic growth using the environmental Kuznets curve: a case study in South Korea. Water International, 40(3), 499-512. doi:10.1080/02508060.2015.1036387

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      • Chu, X.. 2015: Delineation of pothole-dominated wetlands and modeling of their threshold behaviors. Journal of Hydrologic Engineering, D5015003-p, 1-11, doi:10.1061/(ASCE)HE.1943-5584.0001224.

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      • Chu, X., G. Padmanabhan, and D. Bogart, 2015: Microrelief-controlled overland flow generation: Laboratory and field experiments. Applied and Environmental Soil Science. 2015, Article ID 642952. doi:10.1155/2015/642952.

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      • DeLorme, A. 2015: “North Dakota Fisheries Investigations: Crayfish of North Dakota,” North Dakota Game and Fish Department Report, 92.

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      • Dronin, N., N. Telnova, A. Kirilenko, E. Milanova, and N. Kalutskova, 2015: Observed and projected climate change and its impact on ecosystems’ productivity in forest-steppe and steppe zones of Russia and neighboring (FSU) countries. Romanian Journal of Geography, 59(2), 91-100. [Available online]

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      • Gehendra, K. and A. Kirilenko, 2015: Considering climate change in the estimation of long-term flood risks of Devils Lake in North Dakota. Journal of the American Water Resources Association (JAWRA). 51(5): 1221-1234. doi: 10.1111/1752-1688.12300

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      • Ibáñez, J. J., R. Pérez-Gómez, C. Oyonarte, and E.C. Brevik, 2015: Are there arid land soilscapes in southwestern Europe?. Land Degrad. Develop., 26, 853–862. doi: 10.1002/ldr.2451.

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      • Nelson, J. J., P. Barnhart, and E. Gillam, 2015: Distribution and occurrence of bat species in North Dakota. Prairie Naturalist, 47, 83-92. [Available online]

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      • Pedrera-Parrilla, A., E.C. Brevik, E. Van De Vijver, A.J. Espejo, E.V. Taguas, J. V. Giráldez, S. Martos, and K. Vanderlinden, 2015: Effects of different topsoil properties on apparent electrical conductivity under varying soil water contents. Estudios en la Zona No Saturada, 12, 25-32. [Available online]

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      • Sharma, L. K., H. Bu, A. Denton,  and D.W. Franzen, 2015: Active-optical sensors using red NDVI compared to red edge NDVI for prediction of corn grain yield in North Dakota, U.S.A.. Sensors, 15(11), 27832-27853. doi: 10.3390/s151127832

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      • Yang, J. and X. Chu, 2015: A new modeling approach for simulating microtopography-dominated, discontinuous overland flow on infiltrating surfaces. Advances in Water Resources, 78, 80-93. http://dx.doi.org/10.1016/j.advwatres.2015.02.004

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      • Zhang, J. and X. Chu, 2015: Impact of DEM resolution on puddle characterization: Comparison of different surfaces and methods. Water, 7(5), 2293-2313. doi:10.3390/w7052293.

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      • Zhang, X., B. Scheving, B. Shoghli, C. Zygarlicke, and C. Wocken, C., 2015: Quantifying gas flaring CH4 consumption using VIIRS. Remote Sensing, 7(8), 9529-9541. doi:10.3390/rs70809529

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      • Zhulu L., M.J. Anar, and H. Zheng, 2015: Hydrologic and water-quality impacts of agricultural land use changes incurred from bioenergy policies, Journal of Hydrology, 525, 429-440. doi: 10.1016/j.jhydrol.2015.04.001.

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      Proceedings

      2020
        2019
        • CRCS_workshop_flyer_031919

          CRCS_workshop_032819_HPRCC.pptx

          CRCS_workshop_032819_NDARB.pptx

          CRCS_workshop_032819_NDSCO.pptx

          CRCS_workshop_032819_NWS.pptx

          CRCS_workshop_032819_USDA.pptx

          CRCS_workshop_032819_opening.pptx

          CRCS_workshop_032819_radar.pptx

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        2018
        • Topo-Statistical Analyses of Ponding Area versus Ponding Storage of Depression-Dominated Regions for Macro-Scale Hydrologic Modeling, World Environmental and Water Resources Congress 2018, https://ascelibrary.org/doi/10.1061/9780784481400.039

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          3

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        2016
        • Denton, A. M., H. Chavan, D.W. Franzen, and J.F. Nowatzki, 2016: Window-based Regression Analysis of Field Data. 13th International Conference for Precision Agriculture, 2016. International Society of Precision Agriculture. St. Louis, MO. [Available online]

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        • Nasab, Tahmasebi M., Xinhua, J., and Chu, X.. 2016: Modeling of subsurface drainage under varying microtopographic, soil and rainfall conditions. Proc. 2016 10th International Drainage Symposium Conference, 2016, Minneapolis, MN. doi: 10.13031/IDS.20162499952

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        • Ahsan, M., A. Denton, (2016) Multi-scalar Analysis of Geospatial Agricultural Data for Sustainability, 2nd International Workshop on Big Data for Sustainable Development in conjunction with 2016 IEEE International Conference on Big Data, doi:10.1109/BigData.2016.7840843

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        2015
        • Brevik, K. M., Jean, K., Bowman, M., and Bowen, B. 2015: Impact of the You’re Hired! Program on Student Attitudes and Understanding of Engineering (RTP, Strand 4). Proc. 2015 ASEE Annual Conference and Exposition, Seattle, Washington. American Society for Engineering Education. doi: 10.18260/p.24228

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        Presentations

        2020
        • Akyuz, F., Perception of the Changing Climate in North Dakota: Opportunities, Challenges, and Misconceptions | Pioneer Seed Growers Meeting – G.F., North Dakota State University, Invited Speaker, 2020-02-28, Pioneer Seed Growers meeting held February 28, 2020 in Grand Forks, ND. Attendance at event was 30.

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        • Akyuz, F., Perception of the Changing Climate in North Dakota: Opportunities, Challenges and Misconceptions | 2020, North Dakota Weed Control Association Annual Conference, North Dakota State University, Invited Speaker, 2020-01-08, North Dakota Weed Control Association Annual Conference held January 6-9, 2020 in Bismarck, ND.

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        • Akyuz, F., Perception of the Changing Climate in North Dakota: Opportunities, Challenges, and Misconceptions | Pioneer Seed Growers Meeting – Fgo., North Dakota State University, Invited Speaker, 2020-02-27, Pioneer Seed Growers meeting held February 27, 2020 in Fargo, ND. Attendance at event was 30.

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        • Barzrkar, M., Application of Joint Probability Distribution Function to Customize Drought Categorization based on Spatial and Temporal Distributions of Drought, North Dakota State University, Poster, 2019-12-09,AGU Fall Meeting, December 9-13, 2019, San Francisco, CA.

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        • Brevik, E., Communicating the importance of soils to human health: New options and opportunities, Dickinson State University (DSU), Invited Speaker, 2020-03-10 Global Symposium on Soil Biodiversity

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        • Brevik, E., Converting Sandy Soils from CRP to No-till Production Agriculture: Impacts on Soil Health, Dickinson State University (DSU), Presentation, 2020-06-01, Global Conference on Sandy Soils

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          0

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        • Carbo, C., Evaluating WRF-Chem Model Performance for Baseline Summer Scenario over the US Northern Great Plains, University of North Dakota, Poster, 2019-12-09 2019, American Geophysical Union Fall Meeting held December 9-13, 2019 in San Francisco, CA.

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        • Carson, B., Feasibility of Downscaling NAAPS Aerosol Fields for Incorporating More Realistic Aerosol Direct Effects in WRF-Chem Simulations , University of North Dakota, Poster, 2019-12-13, American Geophysical Union annual meeting

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        • Chu, X., The Puzzle of Topographic Depressions: A Decade-long Effort to Put the Pieces Together, North Dakota State University, Poster, 2019-12-09, AGU Fall Meeting, December 9-13, 2019, San Francisco, CA.

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        • David Franzen, A History of Phosphate Export from North Dakota, North Dakota State University, Center for Regional Climate Studies (CRCS), 2020-05-05, https://www.youtube.com/watch?v=BOyc2p-My1w&feature=youtu.be, Soil Health Webinar Series, NDSU Langdon Research Extension Center, NDSU Soil Health Team

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        • Dennhardt, L., Grasslands in a Changing Climate: Testing assisted migration on cool-season grasses, Valley City State University, Oral, 2020-08-05, Ecological Society of America

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        • Dennhardt, L., How do we build resilient ecosystems?, Valley City State University, Poster, 2020-02-13, North Dakota Wildlife Society

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        • Denton , A., Large-window Techniques for Geospatial Raster Data, North Dakota State University, Presentation, 2020-02-11, 2020 South Dakota State University Data Science Symposium

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        • Denton, A., Gomes, R., Towards high-resolution topographic variables for hydrology, North Dakota State University, Poster, 2020-04-21, EPSCoR State Conference 2020

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        • F. Adnan Akyuz, Impacts of Changing Climate in the Northern Plains. Opportunities, Challenges and Misconceptions | 2020, Douglas County Corn and Soybean Association Annual Meeting, North Dakota State University, Center for Regional Climate Studies (CRCS), 2020-02-13, Douglas County Corn and Soybean Association Annual Meeting held 2/13/2020 in Brandon, MN.

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        • Franzen, D., Increase in nonexchangeable ammonium after cover crop rye and forage radish | 2019 American Society of Agronomy Meetings, North Dakota State University, Poster, 2019-11-12, 2019 American Society of Agronomy Meetings, San Antonio, TX (November 10-13, 2019)

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        • Jiyang Zhang, Haochi Zheng, Changes in Regional Snowfall in Central North America (1961-2017): Mountain vs. Plains, University of North Dakota, Center for Regional Climate Studies (CRCS), 2019-12-07, American Geologic Union (AGU) 2019 Fall meeting in San Francisco

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        • Joshua Steffan, Effect of Land Use Changes and Cattle Grazing on Soil Microbial Populations and Function, Dickinson State University (DSU), Center for Regional Climate Studies (CRCS), 2020-02-07, Environmental Science Seminar Series

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        • Kennedy, A., In-Situ and Remote Sensing of Blowing/Falling Snow: A summary of ongoing and upcoming projects at the University of North Dakota, University of North Dakota, Presentation, 2019-10-24 Northern Plains Weather Workshop at St. Cloud State University

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        • Kennedy, A., Loeb, N., Scott, A., Lucke, K., From Instrumentation to Outreach: Applications of 3D Printing to Promote Education in the Atmospheric Sciences | 2019 American Geophysical Union Fall Meeting University of North Dakota, University of North Dakota, University of North Dakota, University of North Dakota, Poster, 2019-12-12, 2019 American Geophysical Union Fall Meeting held December 9-13, 2019 in San Francisco, CA.

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        • Kennedy, A., UND Research and Collaboration Oppurtunities, University of North Dakota, Invited Speaker, 2019-08-13, NWS Northern Plains SOO Workshop

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        • Kennedy, K., Identification of Blowing Snow Events over the Northern Great Plains with GOES-16, University of North Dakota, Poster, 2019-12-12, 2019 American Geophysical Union Fall Meeting held December 9-13, 2019 in San Francisco, CA.

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        • Lucke, K., Kennedy, A., Scott, A., Starr, J., Investigating the Impact of Land Cover Change on the Northern Great Plains | 2019 American Geophysical Fall Meeting, University of North Dakota, Presentation, 2019-12-13, 2019 American Geophysical Union Fall Meeting held December 9-13, 2019 in San Francisco, CA.

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        • Nasab, M., Macro-scale Hydrologic Modeling for Depression-Dominated Cold Climate Regions, North Dakota State University, Poster, 2019-12-12, AGU Fall Meeting, December 9-13, 2019, San Francisco, CA.

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        • Petermann, B., Soil Microbial Response to Long-Term Management Practices in Cotton Systems of the Texas Southern High Plains | 2019, Soil Science Society of America Annual Meeting, Dickinson State University (DSU), Oral, 2019-11-12, Soil Science Society of America Annual Meeting

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        • Petermann, B., Microbial response to altered land management strategies in Eastern Montana | 2019, Soil Science Society of America Annual Meeting, Dickinson State University (DSU), Presentation, 2019-11-12, Soil Science Society of America Annual Meeting, San Antonio, TX.

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        • Starr, J., An Investigation into the Impacts of Crop Type and Acreage Changes on Surface Albedo , University of North Dakota, Poster, 2019-12-09, American Geophysical Union annual meeting

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        • Steffan, J., Out-Wintering of Livestock on Cropland Rapidly Increases Soil Organic Matter and Changes the Soils Microbial Community Structure, Dickinson State University (DSU), Poster, 2019-11-13, Soil Science Society of America Annual Meeting

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        • Wang, N., Spatial Distribution of Depressions and Their Retention Capability at a Watershed Scale, North Dakota State University, Poster, 2019-12-10, AGU Fall Meeting, December 9-13, 2019, San Francisco, CA.

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        • Wang, N., The Roles of Depressions in Hydrologic Processes of the Devils Lake Watershed, North Dakota State University, Oral, 2020-01-15, 37th Red River Land & Water International Summit Conference, Red River Basin Commission, held January 14-16, 2020 in Fargo, ND.

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        • Xu, Y., Zheng, H., Habitat quality for pollinators: road ditches vs. conservation program, University of North Dakota, University of North Dakota, Presentation, 2019-12-10, American Geologic Union (AGU) 2019 Fall meeting in San Francisco

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        • Zanker, J., An estimation of crop planting Dates through the use of remotely sensed data, University of North Dakota, Poster, 2020-01-12, 19th Annual Student Conference, American Meterological Society annual meeting

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        • Zeng, L., Modeling of Dynamics of Runoff Contributing Areas in Depression-dominated Areas, North Dakota State University, Poster, 2019-12-11, AGU Fall Meeting, December 9-13, 2019, San Francisco, CA.

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        • Zhang, J., Zheng, H., Zhang, X., VanLooy, J., Changes in Regional Snowfall in Central North America (1971-2017): Mountain vs. Plain University of North Dakota, University of North Dakota, University of North Dakota, University of North Dakota Presentation, 2019-12-11 AGU 2019 Fall meeting

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        2019
        • Akyuz, A., 2017-18 Multi-year Drought Assessment, Monitoring and Response Efforts in North Dakota | ND EPSCoR 2019 Annual Conference, North Dakota State University, Poster, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Akyuz, F., Professor of Climatological Practice, State Climatologist, North Dakota State University, Oral, 2019-06-25, American Association of State Climatologists 2019 Annual Meeting

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        • Akyuz, F., Professor of Climatological Practice, State Climatologist, North Dakota State University, Presentation, 2019-07-16, Managing and Utilizing Precipitation Observations from Volunteer Networks Annual Conference

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        • Ali, M., Microplastic Contamination in the Environment, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference, Fargo, ND

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        • Badarch, B., Crop Yield Potential for Five Crops in North Dakota Based on Soils and Climate | ND EPSCoR 2019 Annual Conference, North Dakota State University, Oral, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Bajwa, D., Cellulose Nanocrystals – A Sustainable Material for Improving the Performance Characteristics of Poly (lactic Acid) based Composites | ND EPSCoR 2019 Annual Conference, North Dakota State University, Nueta Hidatsa Sahnish College (Formerly known as Fort Berthold Community College) Oral, 2019-03-27 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Bazrkar, M., Hydroclimatic Aggregate Drought Index for Identification of Droughts in Cold Climate Regions | ND EPSCoR 2019 Annual Conference, North Dakota State University, Poster, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Bazrkar, M., Macro-scale Grid-based Hydrologic Modeling and Drought Identification in the Red River of the North Basin, North Dakota State University, Oral, 2020-01-15, 37th Red River Land & Water International Summit Conference, Red River Basin Commission

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        • Bohn, K., Effects of Land Management on Photosynthetic Parameters | ND EPSCoR 2019 Annual Conference, Dickinson State University (DSU), Poster, 2019-03-27, This research analyzes the effects of land management on photosynthetic parameters at both the canopy and leaf levels utilizing a PhotosynQ and GreenSeeker device to measure chlorophyll content, PhiNPQ, Phi2, and PhiNO, which indicate light and nutrient usage. The results demonstrate that cropland absorbed and utilized light more efficiently by converting CO2 into carbohydrates rather than into heat or damaging energy compared to idle CRP land; thereby, potentially reducing the amount of atmospheric CO2.

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        • Brevik, E., Overlooked links between soils, provisioning ecosystem services, and human health, Dickinson State University (DSU), Presentation, 2019-04-12, 2019 European Geosciences Union General Assembly

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        • Brevik, E., Soils, Provisioning Ecosystem Services, and Human Health: Overlooked Links | ND EPSCoR 2019 Annual Conference, Dickinson State University (DSU), Poster, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Burke, M., Detection of Shelterbelt Density Change Using Historic APFO and NAIP Aerial Imagery, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference, Fargo, ND

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        • Carlos, C., Air pollution over the Northern Great Plains: A WRF-Chem Modeling Study, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference, Fargo, ND

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        • Carson, B., Improving regional weather forecasts for the Northern Great Plains with Combine Use of NAAPS and WRF-Chem Modeling duringheavy smoke events , University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference, Fargo, ND

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        • Chowdhury, N., Roberts, D., Modeling North Dakota Farmers’ Acreage Allocation for Five Major Crops: A Spatially-weighted Seemingly Unrelated Tobit Approach, North Dakota State University, Poster, 2019-07-23, 2019 Agricultural and Applied Economics Annual Meeting

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        • Chu, X., Modeling of Soil Water Drainage and Redistribution during Dry Time Periods, North Dakota State University, Oral, 2019-05-21, ASCE 2019 World Environmental and Water Resources Congress, May 19-23, 2019, Pittsburgh, PA

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        • Dennhardt, L., Does assisted migration work for three common cool-season grasses? | ND EPSCoR 2019 Annual Conference Valley City State University, Poster, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Denton, A., Window-based features for high-resolution remotely-sensed imagery, North Dakota State University, Poster, 2019-03-27, ND EPSCoR State Conference

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        • Dusek, N., Fractal dimension as an image transformation tool, North Dakota State University, Poster, 2019-03-27, EPSCoR Annual Conference

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        • Franzen, D., North Dakota Nutrient Recommendations, Past, Present and Future, North Dakota State University, Invited Speaker, 2019-01-23, Soil and Soil Water Workshop, Fargodome, Fargo, ND

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        • Franzen, D., Integrated Approach for Site-Specific Nitrogen Management in North Dakota, USA, North Dakota State University, Oral, 2019-07-09, 12th European Conference on Precision Agriculture

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        • Gomes, R., Incorporating Data Mining and Iterative Aggregation on Geospatial Datasets to Understand Soil Health in Depressions., North Dakota State University, Poster, 2019-03-27, ND EPSCoR State Conference

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        • Jackson, A., Monarchs on the Prairie: Danaus plexippus Egg and Larval Density at Urban and Rural Sites in the Red River Valley | ND EPSCoR 2019 Annual Conference, United Tribes Technical College, Poster, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Kennedy, A., Identifying Northern Great Plains Blizzards in the Past, Present, and Future, University of North Dakota, Oral, 2019-01-09, https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/353239, 99th Annual Meeting of the American Meteorological Society

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        • Kennedy, A., Convective Environments in Atmospheric Reanalyses, University of North Dakota, Poster, 2019-07-24, Gordon Research Conference on Radiation and Climate

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        • Kennedy, A., Impacts of Climate Change on Civil Infrastructure in the Red River Valley, University of North Dakota, Presentation, 2019-04-25, UND Civil Engineering Seminar Series

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          1

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        • Kennedy, A., Initial Development for Simulating Land Surface Change Impacts on Climate in the Northern Great Plains, University of North Dakota, Oral, 2019-01-10, https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/354210, 99th Annual Meeting of the American Meteorological Society

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        • Kennedy, A., Using neural networks to address questions within the atmospheric sciences, University of North Dakota, Presentation, 2019-04-26, UND Chemistry Seminar Series

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        • Li, S., Window Based Histogram for Identifying Relationship between Soil Health and Elevation, North Dakota State University, Poster, 2019-03-27, ND EPSCoR State Conference

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          1

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        • Loeb, N., Lucke, N., Scott, A., Winter Weather Outreach | 2019 ND EPSCoR State Conference, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference, Fargo, ND

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        • Lucke, A., Scott, A., Kennedy, A., Influences of Crop Cover Change on Northern Great Plains Convection | 2019 GRC, University of North Dakota, University of North Dakota, University of North Dakota, Poster, 2019-07-24 Gordon Research Conference on Radiation and Climate

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        • Mensch, C., Impacts of Vertical Resolution on Storm Indices in North Dakota, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference, Fargo, ND

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        • Nasab, M., Impacts of Sub-daily Temperature Fluctuations on Macro-scale Snowmelt Simulations in the Missouri River Basin | ND EPSCoR 2019 Annual Conference, North Dakota State University, Poster, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Nasab, M., Developing Macro-HyProS: A Macro-scale Hydrologic Processes Simulator, North Dakota State University, Oral, 2019-05-23, ASCE 2019 World Environmental and Water Resources Congress, May 19-23, 2019, Pittsburgh, PA

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        • CRCS_workshop_flyer_031919

          CRCS_workshop_032819_HPRCC.pptx

          CRCS_workshop_032819_NDARB.pptx

          CRCS_workshop_032819_NDSCO.pptx

          CRCS_workshop_032819_NWS.pptx

          CRCS_workshop_032819_USDA.pptx

          CRCS_workshop_032819_opening.pptx

          CRCS_workshop_032819_radar.pptx

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        • Roberts, D., A Multi-equation Approach to Modeling and Predicting Farmers’ Aggregate Annual Acreage Allocation Decisions in North Dakota, Minnesota, and South Dakota, North Dakota State University, Presentation, 2019-03-27, 2019 ND EPSCoR State Conference

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        • Scott, A., Kennedy, A., Using Noah-MP-Crop to study cropland impact on regional climate in the Northern Great Plains | 2019 Joint WRF and MPAS Users’ Workshop, University of North Dakota, Poster, 2019-06-12, 2019 Joint WRF and MPAS Users’ Workshop

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        • Scott, A., Lucke, K., Kennedy, A., Simulating Land Surface Change Impacts on Climate in the Northern Great Plains | 2019 GRC, University of North Dakota, Poster, 2019-07-24, Gordon Research Conference on Radiation and Climate

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        • Scott, A., Lucke, K., Simulating Land Surface Change Impacts on Weather and Climate in the Northern Great Plains | 2019 ND EPSCoR State Conference, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference, Fargo, ND

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        • Shahabi, S., Effect of Wind Direction on Sea Surface Reflectance University of North Dakota Poster, 2019-03-27, ND EPSCoR 2019 State Conference, Fargo, ND

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        • Sivertson (Larson), N., Effects of Varying Temperature on SOA Yields and Partitioning from North Dakota Crop Emissions, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference

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        • Starr, J., Calculating the Impacts of Market and Policy changes on crop simulations of North Dakota’s Prairie Pothole Region, University of North Dakota, Poster, 2019-03-27, 2019 ND EPSCOR State Conference

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        • Starr, J., Evaluating the Reliability of NDVI as a Predictor of Albedo for Crop Types and Locations within the United States, University of North Dakota, Poster, 2019-03-27, ND EPSCOR 2019 State Conference

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        • Steffan, J., Resilience of the Soil Microbial Community during CRP to Cropland Conversion: Results from a Three-Year Study in Eastern Montana, Poster, Soil Science Society of America Annual Meeting, 2019-01-07

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        • Wang, N., A New Daily Semi-distributed Hydrologic Model for Depression Dominated Areas | ND EPSCoR 2019 Annual Conference, North Dakota State University, Poster, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Zanker, J., Investigating the Impact of Atmospheric Radiation on Agricultural Practices in North Dakota, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference

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        • Zeng, L., Development of a Puddle-Based Unit Oriented SWAT (SWAT-PBU) Model for Simulating Depression-Dominated Rainfall-Runoff Processes | ND EPSCoR 2019 Annual Conference, North Dakota State University, Poster, 2019-03-27, 2019 ND EPSCoR Annual State Conference held 3/27/19 in Fargo, ND

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        • Zhang, J., Shabani, A., Evaluating the Costs between Sheyenne River Salinity Damages and Devils Lake Flooding Adaptations University of North Dakota, University of North Dakota, Poster, 2019-03-27, ND EPSCoR 2019 State Conference

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        2018
        • Akyüz, A. (May 2018). Opportunities and Challenges of Climate Change in the Northern Plains. Paper presented at the 16th Annual Climate Prediction Applications Science Workshop (CPASW), Fargo, ND.

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        • Bassett, L., Land Management Changes and its Effects on Soil Nutrients, North Dakota State University, Oral, 2018-04-21, Dickinson State University Celebration of Scholars: Achievements in Research, Humanities, and the Arts (Annual undergraduate research symposium)

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        • Bassett, L., Land Management Changes and its Effects on Soil Nutrients, North Dakota State University, Poster, 2018-04-21, Dickinson State University Celebration of Scholars: Achievements in Research, Humanities, and the Arts

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        • Bazrkar, M.H., M.T. Nasab, L. Zeng, K. Grimm, N. Wang, X. Chu, Drought Identification in Cold Climate Regions: How Can Macro-scale Hydrologic Models Assist Drought Analysis?, North Dakota State University, North Dakota State University, North Dakota State University, North Dakota State University, North Dakota State University, North Dakota State University, Oral, 2018-05-23, 16th Annual Climate Prediction Applications Science Workshop, May 22-24, 2018, Fargo, ND.

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          2

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        • Bowman, F., CCN Activity and Particle Growth of Aging Diesel Exhaust Particles, University of North Dakota, Presentation, 2018, 2018-09-04, 2018 American Institute of Chemical Engineers (AIChE) Annual Meeting

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        • Bowman, F., CCN Activity and Particle Growth of Aging Diesel Exhaust Particles, University of North Dakota, Poster, 2018-09-04, 10th International Aerosol Conference, St Louis, Missouri

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        • Carson, B., Comparison of Short-Term WRF Forecasts for Heavy Smoke Event in the Northern Great Plains by Assimilating NDAWN Network Observations, University of North Dakota, Poster, 2018-04-17, ND EPSCoR 2018 State Conference

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        • Chu, X., Water Quantity and Quality Issues in Western North Dakota: Overview and Two Case Studies, oral, Water Resources of the US Great Plains Region: Status and Future, October 24-26, 2018, Lincoln, NE., 2018-10-25

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        • Chu, X., M.T. Nasab, L. Zeng, K. Grimm, M.H. Bazrkar, X. Liu, N. Wang, Z. Lin, Joint Grid-based and Subbasin-based Hydrologic Modeling and Application, North Dakota State University, North Dakota State University, North Dakota State University, North Dakota State University, North Dakota State University, North Dakota State University, North Dakota State University, Oral, 2018-06-05, ASCE 2018 World Environmental and Water Resources Congress, June 3-7, 2018, Minneapolis, MN.

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        • Fox, C., The presence of mercury in Lake Sakakawea, Nueta Hidatsa Sahnish College (Formerly known as Fort Berthold Community College), Poster, 2018-03-27, 6th Annual North Dakota Tribal College Research Symposium

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        • Franzen, D., History of Soil Erosion and Nutrient Loss in North Dakota, North Dakota State University, Invited Speaker, 2018-12-18, Conservation Tillage Conference (CTC), Fargo, ND

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        • Franzen, D., Soil Sampling for Precision Agriculture, North Dakota State University, Invited Speaker, 2018-05-10, Precision Ag Training for Under-served Institutions, Fort Collins, CO

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          0

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        • Franzen, D., A. WIck, Nutrient Non-cycling by cover crops, North Dakota State University, Invited Speaker, 2018-11-28, North Dakota Ag Association Northern Ag Expo, Fargodome, Fargo, ND

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        • Grimm, K., Chu, X., Depressional Threshold Control Proxy to Simulate Dynamic Hydrologic Connectivity in Depression-dominated Areas, North Dakota State University, North Dakota State University, Oral, 2018, 2018-06-05, ASCE 2018 World Environmental and Water Resources Congress, June 3-7, 2018, Minneapolis, MN.

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        • Hall, A., T. Sand-Driver, Juneberry (Amelanchier anifolia) phenology on Fort Berthold Indian Reservation, Nueta Hidatsa Sahnish College (Formerly known as Fort Berthold Community College), Poster, 2018-03-27, 6th Annual North Dakota Tribal College Research Symposium

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          2

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        • Kennedy, A., Atmospheric Reanalyses: A tool for investigating hazardous weather events, University of North Dakota, Invited Speaker, 2018, 2018-04-05, University of Arizona Dept. of Hydrology and Atmospheric Sciences (HAS) Seminar Series

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        • Kennedy, A., Extreme Weather of the Northern Plains: A look into the past, present, and future, University of North Dakota, Invited Speaker, 2018-05-17, 3rd District Medical Meeting. Grand Forks, ND

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        • Kennedy, A., A. King, Hazardous Convective Environments in the North American Regional Reanalysis, University of North Dakota, University of North Dakota, Presentation, 2018, 2018-05-22, 16th Annual Climate Prediction Applications Science Workshop (CPASW), Fargo, ND May 22-24

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        • Kennedy, A. (May 2018). Hazardous Convective Environments in the North American Regional Reanalysis. Paper presented at the 16th Annual Climate Prediction Applications Science Workshop (CPASW), Fargo, ND.

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        • Kennedy, A., J. Starr, A. Trellinger, A. Shabani, Making Sense of Climate Change at a Local Level, University of North Dakota, University of North Dakota, University of North Dakota, University of North Dakota, Panel, 2018-03-21, https://und.edu/orgs/writers-conference/current-conference/grand-challenges-information.cfm, Grand Challenges Symposium at the 49th UND Writers Conference

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        • Nasab, M.T., X. Chu, Topo-statistical analyses of ponding area versus ponding storage of depression-dominated regions for macro-scale hydrologic modeling, North Dakota State University, North Dakota State University, Oral, 2018-06-05, ASCE 2018 World Environmental and Water Resources Congress, June 3-7, 2018, Minneapolis, MN.

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          2

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        • Scott, A., A. Kennedy, Initial development for simulating land surface change impacts on climate in the Northern Plains, University of North Dakota, University of North Dakota, Poster, 2018-06-23, Joint WRF/MPAS Users’ Workshop

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        • Shabani, A., Improving Devils Lake outlet management to reduce environmental impacts on the Sheyenne River, University of North Dakota, Poster, 2018-12-11, 2018 AGU Fall Meeting, Walter E. Washington Convention Center, Washington DC, December 10 – 14, 2018

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          1

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        • Starr, J., Adding dynamic social-economic factors to crop simulations to improve acreage and yield predictions, University of North Dakota, Poster, 2018-04-17, ND EPSCoR 2018 State Conference

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        • Starr, J., Utilizing space-borne remote sensing data to improve model parameter calibration in crop simulations, University of North Dakota, Poster, 2018-04-17, ND EPSCoR 2018 State Conference

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          0

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        • Starr, J., J.S. Reid, Measuring the Impact of Human Decision Making through Utilization of a Coupled Crop Simulation and Economic Land-Use Model , University of North Dakota, Presentation, 2018-12-12, American Geophysical Union: Fall 2018 Meeting

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        • Steffan, J., Evaluation of Soil Microbial Community Changes Under Different Agricultural Land Uses in Eastern Montana, USA, poster, 21st World Congress of Soil Science, 2018-08-14

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          0

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        • Trellinger, A. (May 2018). Northern Plains Blizzards in Past and Future Climates. Paper presented at the 16th Annual Climate Prediction Applications Science Workshop (CPASW), Fargo, ND.

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          3

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          3

        • Voigt, L., Climate change effects on pollinators, Nueta Hidatsa Sahnish College (Formerly known as Fort Berthold Community College), Poster, 2018-03-27, 6th Annual North Dakota Tribal College Research Symposium

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          1

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        • A New Model for Rainfall-runoff Simulation in Depression Dominated Areas, North Dakota State University, North Dakota State University, Oral, 2018-06-05, ASCE 2018 World Environmental and Water Resources Congress, June 3-7, 2018, Minneapolis, MN.

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          1

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        • Zhang, J., Water and Society: Water Resources Management and Policy in a Changing World , University of North Dakota, Poster, 2018-12-09, AGU Fall meeting Washington DC

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          0

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        • Zheng, H., CRP or No-till? Carbon Storage in Agricultural land, a case study in Minnesota, U.S., University of North Dakota, Presentation, 2018-06-28, World Congress of Environmental and Resource Economists

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        2017
        • Denton, A. M.  and A. Roy (2017): Cluster-overlap algorithm for assessing preprocessing choices in environmental sustainability. 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, pp. 4212-4220. doi: 10.1109/BigData.2017.8258447

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        2016
        • Gallina, M. F., Obert, M. L., Ruggles, R., Burshek, K., Munch, J. A. & Juntunen, C. L. (August 2016). Factors influencing farmers’ and ranchers’ land-use decision making.  Poster presented at the Annual Convention of the American Psychological Association, Denver, CO.

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          0

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        2015
        • Brevik, K. M., Jean, K., Bowman, F. M., & Bowen, B. (2015, June), Impact of the You’re Hired! Program on Student Attitudes and Understanding of Engineering (RTP, Strand 4) Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington. 10.18260/p.24228 (view)

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        Dissertations/Thesis

        2020
          2019
          • King, Austin, (2018), An Investigation of Severe Weather Environments in Atmospheric Reanalyses. M.S. Thesis, Department of Atmospheric Science, University of North Dakota

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          • Battu, B., Denton, A., Region-based Data Mining on Agricultural Data, North Dakota State University, Thesis/Dissertation, 2019-09, https://search.proquest.com/docview/2307190752</a>

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          • King, A., An Investigation of Severe Weather Environments in Atmospheric Reanalyses, University of North Dakota, Thesis/Dissertation, 2019-04, <a href=”https://commons.und.edu/theses/2251/

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          2018
          • Northern Great Plains Blizzards in Past and Future Climates Thesis/Dissertation Published Alexander Trellinger University of North Dakota, Published 2018-11-15 http://adsabs.harvard.edu/abs/2017AGUFM.A51K..06T

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          • Grimm, K., Modeling of Dynamic Hydrologic Connectivity: How Do Depressions Affect the Modeling of Hydrologic Processes? 2018-11-15, North Dakota State University, https://library.ndsu.edu/ir/handle/10365/28983

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          • Grimm, K., Modeling of Dynamic Hydrologic Connectivity: How Do Depressions Affect the Modeling of Hydrologic Processes? Ph.D. Thesis Dept of Civil and Environmental Engineering North Dakota State University https://library.ndsu.edu/ir/handle/10365/28983

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          • Trellinger, A., Northern Great Plains Blizzards in Past and Future Climates, M.S. Thesis Dept. of Atmospheric Science, University of North Dakota

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          2017
          • Chukwuto, H.C. (2017): Investigating Cloud Condensation Nuclei Activity and Particle Growth of Aging Diesel Exhaust Particles. M.S. Thesis. Dept. of Chemical Engineering, University of North Dakota, 127 pp.

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            1

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          2016
          • Badu, Sadhana, 2016: Computing the yield per acre for a given field using GIS capabilities. M.S. Thesis. Dept. of Computer Science and Operations Research, North Dakota State University.

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            0

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          • Li, Shuhang. 2016: Classification of LIDAR data using Window based techniques. M.S. Thesis. Dept. of Computer Science and Operations Research, North Dakota State University.

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            0

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          • Roy, Arighna. 2016: Quantifying relationships between two time series data sets. M.S. Thesis. Dept. of Computer Science and Operations Research, North Dakota State University.

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            5

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            5

          2015
          • Battu, Babitha, 2015: Region-based data mining on agricultural data. M.S. Thesis. Dept. of Computer Science and Operations Research, North Dakota State University, 43 pp.

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            1

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            1

          Page Views: 324
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