Digital Reading Room 2.0 -- ENSC 620: Environmental Data Analysis (Revision 1)

ENSC 620: Environmental Data Analysis (Revision 1) Report a Broken Link

Unit 1: Overview of Data Treatment

Supplementary Resources

Karki, P. (2022, October 14). Biosphere—Definition, origin, components, importance, examples. The Biology Notes. https://microbenotes.com/biosphere-definition-origin-components-importance-examples/

Dastrup, R. A. (2017). Earth’s hydrosphere. In Applied geography: Analyzing our world with GIS. Open Geography Education. https://www.opengeography.org/ch-4-earths-hydrosphere.html

Unit 2: Case Studies in Environmental Pollution Research

Supplementary Resources

Environment and Climate Change Canada. (2023, April 14). Air pollution. Government of Canada. https://www.canada.ca/en/environment-climate-change/services/air-pollution.html

Unit 3: Typical Environmental Challenges

Supplementary Resources

Environment and Climate Change Canada. (2023, March 6). Air pollution. Government of Canada. https://www.canada.ca/en/environment-climate-change/services/air-pollution.html

Unit 4: Collection and Generation of Environmental Data

Supplementary Resources

Earth Resources Observation and Science Center. (2018, July 9). Advanced very high resolution radiometer (AVHRR)—Sensor characteristics. United States Geological Survey. https://www.usgs.gov/centers/eros/science/usgs-eros-archive-advanced-very-high-resolution-radiometer-avhrr-sensor

Earth Resources Observation and Science Center. (2018, July 10). Advanced very high resolution radiometer—AVHRR. United States Geological Survey. https://www.usgs.gov/centers/eros/science/usgs-eros-archive-advanced-very-high-resolution-radiometer-avhrr

Climate data record. (2022, August 23). In Wikipedia. https://en.wikipedia.org/wiki/Climate_Data_Record

PATMOS-x: Pathfinder Atmospheres—Extended. (n.d.). Cooperative Institute for Meteorological Satellite Studies. https://cimss.ssec.wisc.edu/patmosx/

Sentinel Online. (n.d.). Multispectral instrument (MSI) overview. European Space Agency. https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-2-msi/msi-instrument

Magpi. (n.d.). What is environmental data? https://www.magpi.com/blog/environmental-data-collection

Unit 5: Time Series Analysis

Supplementary Resources

Zhang, Z. (2016). Chapter 1: Time series analysis. In Environmental data analysis: Methods and applications (pp. 1–44). Walter de Gruyter GmbH. https://0-ebookcentral-proquest-com.aupac.lib.athabascau.ca/lib/athabasca-ebooks/detail.action?docID=4768910

Kashlak, A. B. (2021). Time series analysis course notes for STAT 479. University of Alberta. https://sites.ualberta.ca/~kashlak/data/stat479.pdf

Wang, D. (2015). STAT 720 time series analysis: Lecture notes. University of South Carolina. https://people.stat.sc.edu/wang528/Stat%20720/STAT720%20Notes.pdf

Unit 6: The Root-Finding Method

Supplementary Resources

Saylor Academy. (n.d.). The algorithm for Newton's method. https://learn.saylor.org/mod/book/view.php?id=37482&chapterid=21132

Newton’s method. (2023, May 9). In Wikipedia. https://en.wikipedia.org/wiki/Newton%27s_method

Secant method. (2023, April 25). In Wikipedia. https://en.wikipedia.org/wiki/Secant_method

BYJU’S. (n.d.). Secant method. https://byjus.com/maths/secant-method/

BYJU’S. (n.d.). Bisection method. https://byjus.com/maths/bisection-method/

x-engineer.org. (2023). Bisection method for root finding. https://x-engineer.org/bisection-method/

Unit 7: Environmental Study Using Numerical Differential Analysis

Supplementary Resources

Howell, K. B. (2015). Euler’s numerical method. In Ordinary differential equations: An introduction to the fundamentals (pp. 191–210). CRC Press. https://www.uah.edu/images/people/faculty/howellkb/DEText-Ch9.pdf

Euler method. (2023, May 9). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Euler_method&oldid=1153911068

Trench, W. F. (n.d.). The improved Euler method and related methods. LibreTexts Mathematics. https://math.libretexts.org/Courses/Monroe_Community_College/MTH_225_Differential_Equations/3%3A_Numerical_Methods/3.2%3A_The_Improved_Euler_Method_and_Related_Methods

Heun’s method. (2023, January 12). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Heun%27s_method&oldid=1133050304

Runge–Kutta methods. (2023, April 24). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Runge%E2%80%93Kutta_methods&oldid=1151548276

Zeltkevic, M. (1998, April 15). Runge–Kutta methods. In R. Sureshkumar (Ed.), 10.001: Numerical solution of ordinary differential equations. Massachusetts Institute of Technology. https://web.mit.edu/10.001/Web/Course_Notes/Differential_Equations_Notes/node5.html

Wilf, H. S. (n.d.). Numerical analysis. In D. DeTurck (Ed.), Math 320 - Numerical analysis notes (sec. 1.13–1.16). University of Pennsylvania. https://www2.math.upenn.edu/~deturck/m320/text/part4.pdf

Babar, Z. A. (n.d.). What is the midpoint method in ordinary differential equations? Educative. https://www.educative.io/answers/what-is-the-midpoint-method-in-ordinary-differential-equations

Midpoint method. (2023, April 23). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Midpoint_method&oldid=1151294717

Unit 8: Integration Application to Environmental Data

Supplementary Resources

Strang, G., & Herman, E. (2021, July 25). Numerical integration—Midpoint, trapezoid, Simpson's rule. LibreTexts Mathematics. https://math.libretexts.org/Courses/Mount_Royal_University/MATH_2200%3A_Calculus_for_Scientists_II/2%3A_Techniques_of_Integration/2.5%3A_Numerical_Integration_-_Midpoint%2C_Trapezoid%2C_Simpson's_rule

Strang, G., & Herman, E. (2016, March 30). The midpoint and trapezoid rules. In Calculus II. Lumen. https://courses.lumenlearning.com/calculus2/chapter/the-midpoint-and-trapezoidal-rules/

Feldman, J., Rechnitzer, A., & Yeager, E. (2021, May). The midpoint rule. In CLP-2 integral calculus (sec. 1.11.1). University of British Columbia. https://personal.math.ubc.ca/~CLP/CLP2/clp_2_ic/sec_midpointRule.html

Feldman, J., Rechnitzer, A., & Yeager, E. (2021, May). The trapezoidal rule. In CLP-2 integral calculus (sec. 1.11.2). University of British Columbia. https://personal.math.ubc.ca/~CLP/CLP2/clp_2_ic/sec_trapRule.html

Feldman, J., Rechnitzer, A., & Yeager, E. (2021, May). Simpson’s rule. In CLP-2 integral calculus (sec. 1.11.3). University of British Columbia. https://personal.math.ubc.ca/~CLP/CLP2/clp_2_ic/sec_Simpson.html

Unit 9: Interpolation Application to Environmental Data

Supplementary Resources

Dow, K., Adeeb, S., Westover, L., Li, Y., & Qiu, W. (2023). Newton interpolating polynomials. In Introduction to numerical analysis for engineers (sec. 7.2). Engineering at Alberta. https://engcourses-uofa.ca/books/numericalanalysis/polynomial-interpolation/newton-interpolating-polynomials/

GeeksforGeeks. (2023, March 10). Newton forward and backward interpolation. https://www.geeksforgeeks.org/newton-forward-backward-interpolation/

Lambers, J. (2010). Lagrange interpolation. In MAT 772 fall semester 2010-11 lecture 5 notes. University of Southern Mississippi. https://www.math.usm.edu/lambers/mat772/fall10/lecture5.pdf

Brilliant.org. (n.d.). Lagrange interpolation. https://brilliant.org/wiki/lagrange-interpolation/

Lagrange polynomial. (2023, April 12). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Lagrange_polynomial&oldid=1149496043

Kong, Q., Siauw, T., & Bayen, A. (2020). Cubic spline interpolation. In Python programming and numerical methods: A guide for engineers and scientists (sec. 17.3). Berkeley Python Numerical Methods. https://pythonnumericalmethods.berkeley.edu/notebooks/chapter17.03-Cubic-Spline-Interpolation.html

Denk, T. (2017, June 17). Cubic spline interpolation. Timo Denk’s Blog. https://blog.timodenk.com/cubic-spline-interpolation/

Spline interpolation. (2023, April 25). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Spline_interpolation&oldid=1151719077

Unit 10: Machine-Learning Application to Environmental Data

Supplementary Resources

Hsieh, W. W. (2022). Evolution of machine learning in environmental science—A perspective. Environmental Data Science, 1, e3, 1–8. https://doi.org/10.1017/eds.2022.2

Maganathan, T., Senthilkumar, S., & Balakrishnan, V. (2020, November). Machine learning and data analytics for environmental science: A review, prospects and challenges. IOP Conference Series: Materials Science and Engineering, 955(1), Article 012107. https://doi.org/10.1088/1757-899X/955/1/012107

Zhong, S., Zhang, K., Bagheri, M., Burken, J. G., Gu, A., Li, B., Ma, X., Marrone, B. L., Ren, Z. J., Schrier, J., Shi, W., Tan, H., Wang, T., Wang, X., Wong, B. M., Xiao, X., Yu, X., Zhu, J. J., & Zhang, H. (2021). Machine learning: New ideas and tools in environmental science and engineering. Environmental Science & Technology, 55(19), 12741–12754. https://doi.org/10.1021/acs.est.1c01339

Machine learning. (2023, May 17). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Machine_learning&oldid=1155233766

IBM. (n.d.). What is machine learning? https://www.ibm.com/topics/machine-learning

Brown, S. (2021, April 21). Machine learning, explained. MIT Sloan School of Management. https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained

Unit 11: A Review of Environmental Numerical Models

Supplementary Resources

National Centers for Environmental Information. (n.d.). Global Forecast System (GFS). National Oceanic and Atmospheric Administration. https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast

Environmental Modeling Center. (n.d.). GFS: Global Forecast System. National Oceanic and Atmospheric Administration. https://www.emc.ncep.noaa.gov/emc/pages/numerical_forecast_systems/gfs.php

Eckermann, S. D., McCormack, J. P., Coy, L., Allen, D., Hogan, T., & Kim, Y.-J. (2004, June 14–17). NOGAPS-ALPHA: A prototype high-altitude global NWP model [Symposium presentation]. American Meteorological Society Symposium on the 50th Anniversary of Operational Numerical Weather Prediction, College Park, MD, United States. https://apps.dtic.mil/sti/pdfs/ADA464412.pdf

Navy Operational Global Atmospheric Prediction System. (2022, October 29). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Navy_Operational_Global_Atmospheric_Prediction_System&oldid=1118866361

National Centers for Environmental Information. (n.d.). Navy Operational Global Atmospheric Prediction System. National Oceanic and Atmospheric Administration. https://www.ncei.noaa.gov/products/weather-climate-models/navy-operational-global-atmospheric-prediction

Navy Global Environemental Model. (2023, August 1). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Navy_Global_Environmental_Model&oldid=1168283530

Recherche en prévision numérique. (n.d.). GEM: The Global Environmental Multiscale model. https://collaboration.cmc.ec.gc.ca/science/rpn/gef_html_public/

Staniforth, A., Côté, J., Gravel, S., Méthot, A., Patoine, A., & Roch, M. (1998, September 7–11). Environment Canada’s GEM (Global Environment Multiscale) model [Conference paper]. ECMWF Seminar on Recent Developments in Numerical Methods for Atmospheric Modelling, Reading, UK. https://www.ecmwf.int/sites/default/files/elibrary/1998/76485-environment-canadas-gem-global-environment-multiscale-model_0.pdf

Global Environmental Multiscale model. (2023, April 27). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Global_Environmental_Multiscale_Model&oldid=1151977639

European Centre for Medium-Range Weather Forecasts. Advancing global NWP through international collaboration. https://www.ecmwf.int/

European Centre for Medium-Range Weather Forecasts. (2022, December 24). In Wikipedia. https://en.wikipedia.org/w/index.php?title=European_Centre_for_Medium-Range_Weather_Forecasts&oldid=1129210973

Met Office. (n.d.). Unified Model. https://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model

Met Office. (n.d.). Numerical weather prediction models. https://www.metoffice.gov.uk/research/approach/modelling-systems/unified-model/weather-forecasting

National Centre for Meteorological Research. (n.d.). ARPEGE-Climate. https://www.umr-cnrm.fr/spip.php?article124&lang=en

Déqué, M., Dreveton, C., Braun, A., & Cariolle, D. (1994, September). The ARPEGE/IFS atmosphere model: A contribution to the French community climate modelling. Climate Dynamics, 10, 249–266. https://doi.org/10.1007/BF00208992

Windy Weather World Inc. (2019, June 24). Where does your forecast come from? A list of all the major weather models. Windy.app. https://windy.app/blog/what-is-a-weather-forecast-model-guide-on-forecast-models-all-around-the-world.html

National Center for Atmospheric Research. (n.d.). Weather Research & Forecasting Model (WRF). https://www.mmm.ucar.edu/models/wrf

Weather Research and Forecasting Model. (2023, January 30). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Weather_Research_and_Forecasting_Model&oldid=1136373716

B.C. Air Quality. (n.d.). Weather Research and Forecasting Model (WRF) data. https://www2.gov.bc.ca/gov/content/environment/air-land-water/air/air-quality-management/modelling/wrf-data

Saito, K. (2012, April 4). The JMA nonhydrostatic model and its applications to operation and research. In I. Yucel (Ed.), Atmospheric model applications (pp. 85–110). https://doi.org/10.5772/35368

Grell, G. A., Dudhia, J., & Stauffer, D. (1994). A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5) (No. NCAR/TN-398+STR). University Corporation for Atmospheric Research. https://doi.org/10.5065/D60Z716B

University Corporation for Atmospheric Research. (2020, October 10). Welcome to the Pennsylvania State University / National Center for Atmospheric Research numerical model home page. MM5 Community Model. https://www2.mmm.ucar.edu/mm5/

MM5 (weather model). (21 December 2022). In Wikipedia. https://en.wikipedia.org/w/index.php?title=MM5_(weather_model)&oldid=1128729782

Center for Analysis and Prediction of Storms. (2022, November 29). The Advanced Regional Prediction System. University of Oklahoma. https://arps.caps.ou.edu/

ARPS team. (2019). ARPS (Advanced Regional Prediction). OpenGMS. https://geomodeling.njnu.edu.cn/modelItem/246b6ec7-71dd-4978-9bfb-806a6a10f90c

HIRLAM. (2022, December 23). In Wikipedia. https://en.wikipedia.org/w/index.php?title=HIRLAM&oldid=1129083392

Fraunhofer ISI. (2023). Welcome. ALADIN Model. https://www.aladin-model.eu/aladin-en/

ALADIN Consortium. (n.d.). ALADIN numerical weather prediction project. National Centre for Meteorological Research. https://www.umr-cnrm.fr/aladin-old/

INPE/CPTEC. (n.d.). Eta model: History. http://etamodel.cptec.inpe.br/history/

CCAFS-Climate. (n.d.). Dynamical downscaling (Eta Model). https://ccafs-climate.org/eta_model/

Mesinger, F., Veljovic, K., Chou, S. C., Gomes, J., & Lyra, A. (2016, October 5). The Eta Model: Design, use, and added value. In T. Hromadka & P. Rao (Eds.), Topics in climate modeling. https://doi.org/10.5772/64956

Ehrhard, J., Khatib, I. A., Winkler, C., Kunz, R., Moussiopoulos, N., & Ernst, G. (2000, April 4). The microscale model MIMO: Development and assessment. Journal of Wind Engineering and Industrial Aerodynamics, 85(2), 163–176. https://doi.org/10.1016/S0167-6105(99)00137-3

Mid-Atlantic Regional Integrated Sciences and Assessments. (n.d.). RAMS: Regional Atmospheric Modeling System. https://www.midatlanticrisa.org/data-tools/water-model-tool/items/rams.html

RAMS Colorado. (n.d.). RAMS: An introduction. Colorado State University. https://rams.atmos.colostate.edu/rams-description.html