Books
2018
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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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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)
2019
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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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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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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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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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2018
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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, October 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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King, A., and A Kennedy (2019): North American Supercell Environments in Atmospheric Reanalyses and RUC-2, JAMC, Feb 2019, Volume 58 No. 2, ISSN: 1558-8424; eISSN: 1558-8432 https://doi.org/10.1175/JAMC-D-18-0015.1
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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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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, 2018: Conservation Reserve Program enrollment decisions in the Prairie Pothole Region. J. of Soil and Water Conservation 73(3): 337-352. doi: 10.2489/jswc.73.3.337
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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
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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
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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
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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
2018
2016
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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
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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
2019
2018
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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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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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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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2017
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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
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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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2015
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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
2017
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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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2016
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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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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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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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2015
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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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Dr. Aaron Kennedy
Co-Lead, Center for Regional Climate Studies
John D. Odegard School of Aerospace Sciences
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Dr. David Roberts
Co-Lead, Center for Regional Climate Studies
Department of Agribusiness and Applied Economics
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