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These items were added to the collection on May 2018.



2015. The ArcGIS Book. Redlands: ESRI Press.

2018. Mathematical Geosciences Hybrid Symbolic-numeric Methods. Springer Verlag.

Ambaum MHP. 2010. Thermal physics of the atmosphere. Hoboken (N.J.): Wiley-Blackwell.

American Meteorological S, International Conference on Interactive I, Processing Systems for Meteorology O, Hydrology. 2002. 18th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology : 13-17 January 2002, Orlando, Florida. Boston, Massachusetts: American Meteorological Society.

Attaway S. 2017. MATLAB : a practical introduction to programming and problem solving.

Banwell CN. 1983. Fundamentals of molecular spectroscopy. London: McGraw-Hill.

Bell R. 2012. Introductory Fourier Transform Spectroscopy. Burlington: Elsevier Science.

Black DA. 2006. Ruby for Rails cRuby Techniques for Rails Developers. Greenwich, CT: Manning Publications Co.

Bloomfield P. 1976. Fourier analysis of time series : an introduction. New York: Wiley.

Brasseur G, Jacob DJ. 2017. Modeling of atmospheric chemistry.

Cameron D, Raymond E, Rosenblatt B. 2000. Learning GNU emacs. Beijing: O'Reilly.

Carrieres T, Buehner M, Lemieux J-F, Pedersen LT. 2017. Sea ice analysis and forecasting : towards an increased reliance on automated prediction systems.

Churchill RV, Brown JW. 1983. Fourier series and boundary value problems. Auckland [u.a.: McGraw-Hill.

Collins-Sussman B, Fitzpatrick BW, Pilato CM. 2004. Version control with subversion : [next generation open source version control]. Beijing [u.a.]: O'Reilly.

Conference on P, Statistics in the Atmospheric S, American Meteorological S, Symposium on Environmental Applications: Facilitating the Use of Environmental I, Symposium on Global C, Climate V, Symposium on Observations DA, Probabilistic P. 16th Conference on Probability and Statistics in the Atmospheric Sciences : 13-17 January 2002, Orlando, Florida. In. 2002; Boston, Mass.: American Meteorological Society.

Cronin TM. 1999. Principles of paleoclimatology. New York: Columbia University Press.

Daley R. 1999. Atmospheric data analysis. Cambridge: Cambridge University Press.

Davis HT. 1975. Introduction to nonlinear differential and integral equations. New York, NY: Dover Publ.

Fletcher SJ. 2017. Data assimilation for the geosciences : from theory to application.

Foken T. 2017. Micrometeorology.

Frakes WB. 2002. Information retrieval : Data structures & algorithms. Upper Saddle River, New Jersey: Prentice Hall.

Goodrich D. 2018. HOLE IN THE WIND : a climate scientist's bicycle journey across the united states. [S.l.]: PEGASUS BOOKS.

Griffies SM. 2004. Fundamentals of ocean climate models. Princeton, N.J.: Princeton University Press.

Guttag J. 2017. Introduction to computation and programming using Python : with application to understanding data.

Hetland ML. 2005. Beginning Python : from novice to professional. Berkeley: Apress.

Hunt A, Thomas D. 2000. The pragmatic programmer : from journeyman to master. Reading, Mass.: Addison-Wesley.

Karmakar PK. 2012. Microwave propagation and remote sensing : atmospheric influences with models and applications. Boca Raton: CRC.

Kochan SG, Wood PH. 2001. UNIX shell programming. Carmel, Ind.: Hayden Books.

Kroto HW. 1992. Molecular rotation spectra. New York: Dover.

Lackmann G, Mapes BE, Tyle KR. 2017. Synoptic-dynamic meteorology lab manual : visual exercises to complement midlatitude synoptic meteorology.

Lamb L, Robbins A. 1998. Learning the vi editor. Beijing: O'Reilly.

Lantz B. 2015. Machine learning with R : discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R.

Lee X. 2018. Fundamentals of boundary-layer meteorology.

Lenoble J. 1985. Radiative transfer in scattering and absorbing atmospheres : standard computational procedures. Hampton, Virginia: A. Deepak.

Mak M. 2017. Atmospheric Frontal Dynamics.

Marion JB, Thornton ST. 1995. Classical dynamics of particles and systems. Fort Worth; Phyladelphia; San Diego: Saunders College Pub.

Martin RC. 2009. Clean code : a handbook of agile software craftsmanship. Upper Saddle River, NJ [u.a.: Prentice-Hall.

Mason M. 2005. Pragmatic version control using subversion. Raleigh; Dallas: Pragmatic Bookshelf.

McAnally J, Arkin A. 2009. Ruby in practice. Greenwich (Conn.): Manning.

McKinney W. 2018. Python for data analysis : data wrangling with pandas, NumPy, and IPython.

Metcalf M, Reid J, Cohen M. 2010. FORTRAN 95-2003 explained. Oxford [u.a.]: Oxford Univ. Press.

Muller AC, Guido S. 2016. Introduction to Machine Learning with Python : A Guide for Data Scientists. New York: O'Reilly Media.

Olsen R. 2009. Design patterns in Ruby. Upper Saddle River, NJ [u.a.: Addison-Wesley.

Osborne A. 2003. Nonlinear ocean waves. Oxford: Academic.

Parker DJ, Diop-Kane M. 2017. Meteorology of tropical West Africa : the forecasters' handbook.

Pimpler E. 2017. Programming ArcGIS Pro with Python : automate your ArcGis Pro geoprocessing tasks with Python.

Raschka S, Mirjalili V. 2017. Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow. Birmingham, Mumbai: Packt.

Rosenberg HM. 1988. The solid state : an introd. to the physics of crystals for students of physics, materials science, and engineering. Oxford u.a.: Clarendon Pr. u.a.

Rosenblatt B. 1994. Learning the Korn shell. Cambridge: O'Reilly & Associates.

Sloan JD. 2005. High performance Linux clusters with OSCAR, Rocks, openMosix, and MPI. Beijing: O'Reilly.

Stammer D, Cazenave A. 2018. Satellite altimetry over oceans and land surfaces.

Strang G. 1980. Linear algebra and its applications. New York: Academic Press.

Symposium on Global Change S, American Meteorological S, Symposium on E. Eighth Symposium on Global Change Studies : February 2-7, 1997. In. 1997; Boston, Mass.: American Meteorological Society.

Symposium on Observations DA, Probabilistic P, American Meteorological S. Symposium on Observations, Data Assimilation, and Probabilistic Prediction : 13-17 January 2002, Orlando, Florida. In. 2002; Boston, Mass.: American Meteorological Society.

Tarantola A. 1987. Inverse Problem Theory Methods for Data Fitting and Model Parameter Estimation. Burlington: Elsevier Science.

Tomasi C, Fuzzi S, Kokhanovsky AA. 2017. Atmospheric aerosols : life cycles and effects on air quality and climate.

Wadhams P. 2017. A farewell to ice : a report from the Arctic.

Waite M, Prata S, Waite G. 1993. The Waite Group's new C Primer Plus. Carmel, IN: H.W. Sams.

Wangsness RK. 2000. Electromagnetic fields. New York: John Wiley & Sons.

Wilks DS. 2010. Statistical methods in the atmospheric sciences. Amsterdam: Elsevier.

Zadeh LA, Kacprzyk J. 1992. Fuzzy logic for the management of uncertainty. New York: Wiley.

Zelle JM. 2017. Python programming : an introduction to computer science.

Zhang Z. 2018. Multivariate time series analysis in climate and environmental research.

These items were added to the collection on August 2017.



Armstrong L. 2015. Mapping and modeling weather and climate with GIS. Redlands, Calif: ESRI Press.

Baghdadi N, Zribi M. 2016. Microwave remote sensing of land surfaces techniques and methods. London: ISTE Press.

Boccotti P. 2015. Wave mechanics and wave loads on marine structures. Oxford, UK; Waltham, MA, USA: Elsevier Butterworth-Heinemann.

Chapple S, Troup E, Forster T, Sloan T. 2016. Mastering parallel programming with R : master the robust fearures of R parallel programming to accelerate your data science computations.

Chen KS. 2016. Principles of synthetic aperture radar imaging : a system simulation approach. Boca Raton: CRC Press.

Cushman-Roisin B, Beckers J-M. 2012. Introduction to geophysical fluid dynamics : physical and numerical aspects. Waltham, Mass.; Amsterdam: Academic Press ; Elsevier.

Doe R, Tornado, Storm Research O. 2016. Extreme weather : forty years of the Tornado and Storm Research Organisation (TORRO).

Flanagan D, Matsumoto Y. The Ruby programming language. Sebastopol, Calif.: O'Reilly.

Frain B. 2015. Responsive web design with HTML5 and CSS3 : build responsive and future-proof websites to meet the demands of modern web users.

Gardener M. 2012. Beginning R: the statistical programming language. Indianapolis: Wiley.

Georgiev CG, Santurette P, Maynard K. 2016. Weather analysis and forecasting : applying satellite water vapor imagery and potential vorticity analysis.

Haggard WH. 2016. Weather in the courtroom : memoirs from a career in forensic meteorology.

Henson R. 2010. Weather on the Air A History of Broadcast Meteorology. Dordrecht: Springer.

Iliinsky NPN, Steele J. 2011. Designing data visualizations. Beijing: O'Reilly.

Kampf J. 2014. Advanced ocean modelling. Springer.

Kampf J. 2010. Ocean modelling for beginners : using open-source software. Berlin; Heidelberg: Springer.

Knaflic CN. 2015. Storytelling with data : a data visualization guide for business professionals. Hoboken: Wiley.

Kokhanovsky AA, Leeuw GHd. 2009. Satellite aerosol remote sensing over land. Berlin; New York; Chichester, UK: in association with Praxis Publishing.

Koracin D, Dorman CE. Marine Fog: Challenges and Advancements in Observations, Modeling, and Forecasting.

Kutz JN. 2013. Data-Driven Modeling & Scientific Computation : Methods for Complex Systems & Big Data. Oxford: Oxford.

Lakshmivarahan S. 2017. Forecast error correction using dynamic data assimilation.

Matthes E. 2017. Python crash course.

Navidi WC. 2015. Statistics for engineers and scientists.

Niki H, Becker KH. The Tropospheric chemistry of ozone in the polar regions. Berlin; New York: Springer-Verlag.

Overway KS. 2017. Environmental chemistry : an analytical approach.

Park Y-S. 2015. Advanced modelling techniques studying global changes in environmental sciences. Amsterdam: Elsevier.

Qian SS. 2017. Environmental and ecological statistics with R. Boca Raton; London; New York: CRC Press, Taylor & Francis Group.

Quattrochi DA. 2017. Integrating scale in remote sensing and GIS.

Reich S, Cotter C. 2015. Probabilistic forecasting and bayesian data assimilation. Cambridge: Cambridge University Pres.

Sen Z. 2015. Applied drought modeling, prediction, and mitigation. Amsterdam: Elsevier.

Talley LD, Emery WJ, Pickard GL. 2012. Descriptive physical oceanography : an introduction. Amsterdam: Academic Press.

Walkowiak S. 2016. Big data analytics with R. Packt Publishing Limited.

White WM. 2013. Geochemistry. Wiley-Blackwell.

Yang CP. 2017. Introduction to GIS programming and fundamentals with Python and ArcGIS. Boca Raton: CRC Press.



These items were added to the collection on September 2016.



Adams TE, Pagano TC. 2016. Flood forecasting : a global perspective.

Akimoto H. 2016. Atmospheric reaction chemistry.

Aster RC, Borchers B, Thurber CH. 2005. Parameter estimation and inverse problems. Amsterdam: Elsevier Academic Press.

Barry RG, Blanken P. 2016. Microclimate and local climate.

Brasseur G, Solomon S. 2005. Aeronomy of the middle atmosphere : chemistry and physics of the stratosphere and mesosphere. Dordrecht: Springer.

Chun W, Chun W. 2012. Core Python applications programming. Upper Saddle River, NJ: Prentice Hall.

Colosi JA. 2016. Sound propagation through the stochastic ocean.

Cotton WR, Bryan GH, Van den Heever SC. 2011. Storm and cloud dynamics : the dynamics of clouds and precipitating mesoscale systems. Burlington, MA: Academic Press.

Dawson M. 2010. Python programming for the absolute beginner. Australia [etc.]: Course Technology PTR, a part of Cengage Learning.

De Visscher A. 2014. Air dispersion modeling foundations and applications. Hoboken (N. J.): Wiley.

Fabry F. 2015. Radar meteorology : principles and practice. Cambridge (United Kingdom): Cambridge University Press.

Fleming JR. 2016. Inventing atmospheric science : Bjerknes, Rossby, Wexler, and the foundations of modern meteorology.

Jolliffe IT, Stephenson DB. 2012. Forecast verification : a practioner's guide in atmospheric science. Oxford: Wiley-Blackwell.

Liu Y, Kerkering H, Weisberg RH. 2015. Coastal ocean observing systems. Amsterdam: Elsevier.

McWilliams JC. 2006. Fundamentals of geophysical fluid dynamics. Cambridge; New York; Melbourne: Cambridge University Press.

Mishchenko MI, Travis LD, Lacis AA. 2006. Multiple scattering of light by particles : radiative transfer and coherent backscattering. Cambridge; New York: Cambridge University Press.

North GR, Erukhimova TL. 2009. Atmospheric thermodynamics : elementary physics and chemistry. Cambridge, UK; New York: Cambridge University Press.

Otto SL. 2016. The war on science : who's waging it, why it matters, what we can do about it.

Pacheco PS. 2011. An introduction to parallel programming. Amsterdam; Boston: Morgan Kaufmann.

Palach J. 2014. Parallel programming with Python : develop efficient parallel systems using the robust Python environment. Birmingham: Packt Pub.

Roy S. 2011. Phytoplankton pigments : characterization, chemotaxonomy, and applications in oceanography. Cambridge; New York: Cambridge University Press.

Sharkov EA. 2011. Breaking ocean waves : geometry, structure and remote sensing. Berlin; London: Springer.

Tateosian L. 2015. Python for ArcGIS.

Vanem E. 2013. Bayesian hierarchical space-time models with application to significant wave height. Heidelberg: Springer.

Wagner G, Weitzman ML. 2015. Climate shock : the economic consequences of a hotter planet.

Wilkinson B, Allen CM. 2005. Parallel programming : techniques and applications using networked workstations and parallel computers. Upper Saddle River, NJ: Pearson/Prentice Hall.

Zaccone G. 2015. Python parallel programming cookbook : master efficient parallel programming to build powerful applications using Python.

Zibordi G, Donlon CJ, Parr AC. 2014. Optical radiometry for ocean climate measurements.



These items were added to the collection on May 2016.



Acevedo MF. 2016. Real-time environmental monitoring : sensors and systems. Boca Raton: CRC Press.

Aubinet M, Vesala T, Papale D. 2012. Eddy covariance : a practical guide to measurement and data analysis. Dordrecht: Springer.

Bassi JP. 2015. A scientific peak : how Boulder became a world center for space and atmospheric science.

Bennett MR, Glasser NF. 2009. Glacial geology : ice sheets and landforms. Chichester: Wiley-Blackwell.

Boucher O. 2015. Atmospheric aerosols : properties and climate impacts.

Brainerd WS. 2015. Guide to fortran 2008 programming. Springer.

Carvalho LMVd, Jones C. 2016. The monsoons and climate change : observations and modeling. Cham; Heidelberg; New York; Dordrecht; London: Springer.

Cooray V. 2015. An introduction to lightning. Dordrecht: Springer.

Erl T, Puttini R, Mahmood Z. 2013. Cloud computing : concepts, technology, & architecture.

Gebremichael M. 2010. Satellite rainfall applications for surface hydrology. Dordrecht: Springer.

Goosse H. 2015. Climate system dynamics and modeling.

Harrison RG. 2015. Meteorological measurements and instrumentation. Oxford: Wiley.

Kirk D, Hwu W-m. 2010. Programming massively parallel processors : a hands-on approach. Burlington, MA: Morgan Kaufmann Publishers.

Larcher Tv, Williams PD. 2015. Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiment. John Wiley & Sons.

Lopez-Puertas M, Taylor FW. 2001. Non-LTE radiative transfer in the atmosphere. Singapore [etc.]: World Scientific.

Lutz M. 2015. Learning Python. Beijing: O'Reilly.

Matloff N. 2013. The art of R programming : a tour of statistical software design. San Francisco: No Starch Press.

Matloff NS. 2016. Parallel computing for data science : with examples in R, C++ and CUDA.

Oyana TJ, Margai FM. 2016. Spatial analysis : statistics, visualization, and computational methods.

Rafaels R. 2015. Cloud computing : from beginning to end.

Ramalho L. 2015. Fluent Python.

Rauber T. 2014. Parallel programming : for multicore and cluster systems. [Place of publication not identified]: Springer.

Redniss L. 2015. Thunder & lightning : weather past, present, future.

Shokr M, Sinha N. 2015. Sea ice : physics and remote sensing.

Slatkin B. 2015. Effective Python : 59 specific ways to write better Python.

Sleightholme J. 2015. Introduction to programming with fortran : with coverage of fortran 90, 95, 2003, 2008 and 77. Cham: Springer International Publishing.

Spellman FR. 2015. Environmental impacts of renewable energy.

Stern NH. 2015. Why are we waiting? : the logic, urgency, and promise of tackling climate change.

Sunstein CR. 2002. Risk and reason : safety, law, and the environment. Cambridge [England]; New York: Cambridge University Press.

Thomson RE, Emery WJ. 2014. Data Analysis Methods in Physical Oceanography. Waltham: Elsevier Science.

Wells N. 2012. The atmosphere and ocean : a physical introduction. Chichester, UK: Wiley-Blackwell.

Zhang Y, Paxton LJ. 2016. Auroral dynamics and space weather.

Zumel N, Mount J. 2014. Practical data science with R.






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