Northern Plains Weather/Climate Product, Service, and User Engagement Workshop

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

Nasab, M.T., X. Chu, Topo-Statistical Analyses of Ponding Area versus Ponding Storage of Depression-Dominated Regions for Macro-Scale Hydrologic Modeling

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

Denton, A., J. Goetze, Window-based Fractal Dimension as Geospatial Data Type

Window-based Fractal Dimension as Geospatial Data Type, Workshop on Data Science for Intelligent Food, Energy, and Water (DSIFER), in conj. with ACM-KDD 2017, http://videolectures.net/kdd2017_denton_data_type/

Nasab, M. T., K. Grimm, N. Wang, X. Chu, Scale Analysis for Depression-Dominated Areas: How Does Threshold Resolution Represent a Surface?

Nasab, M. T., K. Grimm, N. Wang, X. Chu, (2017) Scale Analysis for Depression-Dominated Areas: How Does Threshold Resolution Represent a Surface? World Environmental and Water Resources Congress 2017, https://ascelibrary.org/doi/10.1061/9780784480601.016

Denton, A., Future Perspectives and the Ethics of Data Science Problem Statements

Denton, A., (2017) Future Perspectives and the Ethics of Data Science Problem Statements, Workshop on Mining Big Data in Climate and Environment (MBDCE 2017), 17th SIAM International Conference on Data Mining (SDM 2017), April 27 – 29, 2017, Houston, Texas, USA (online access)

Ahsan, M., A. Denton, Multi-scalar Analysis of Geospatial Agricultural Data for Sustainability

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

Brevik, K. M., Impact of the You’re Hired! Program on Student Attitudes and Understanding of Engineering (RTP, Strand 4)

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

Nasab, T. M., Modeling of subsurface drainage under varying microtopographic, soil and rainfall conditions

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

Denton, A. M., H. Chavan, D.W. Franzen, and J.F. Nowatzki, 2016: Window-based Regression Analysis of Field Data

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]