Tops from xml format

Homolová, L., Schaepman, M. E., Lamarque, P., Clevers, J., de Bello, F., & Thuiller, W. (2013). Comparison of remote sensing and plant trait-based modelling to predict ecosystem services in subalpine grasslands. Imaging Spectroscopy for Ecological Analysis in Forest and Grassland Ecosystems, 87. Retrieved from http://library.wur.nl/WebQuery/edepot/287261#page=94

Ichii, K., Suzuki, T., Kato, T., Ito, A., Hajima, T., Ueyama, M., … others. (2009). Multi-model analysis of terrestrial carbon cycles in Japan: reducing uncertainties in model outputs among different terrestrial biosphere models using flux observations. Biogeosciences Discussions, 6(4), 8455–8502. Retrieved from http://www.biogeosciences-discuss.net/6/8455/2009/bgd-6-8455-2009.pdf

Ichii, K., Suzuki, T., Kato, T., Ito, A., Hajima, T., Ueyama, M., … others. (2010). Multi-model analysis of terrestrial carbon cycles in Japan: limitations and implications of model calibration using eddy flux observations. Biogeosciences, 7(7), 2061–2080. Retrieved from http://www.biogeosciences.net/7/2061/2010/

Ichii, K., Wang, W., Hashimoto, H., Yang, F., Votava, P., Michaelis, A. R., & Nemani, R. R. (2007). Objective refinements to a diagnostic terrestrial biosphere model using satellite data: North America carbon and water cycle simulations. In AGU Fall Meeting Abstracts (Vol. 1, p. 1173). Retrieved from http://adsabs.harvard.edu/abs/2007AGUFM.B53B1173I

Ichii, K., Wang, W., Hashimoto, H., Yang, F., Votava, P., Michaelis, A. R., & Nemani, R. R. (2009). Refinement of rooting depths using satellite-based evapotranspiration seasonality for ecosystem modeling in California. Agricultural and Forest Meteorology, 149(11), 1907–1918. Retrieved from http://www.sciencedirect.com/science/article/pii/S0168192309001609

Ichii, K., White, M. A., Votava, P., Michaelis, A., & Nemani, R. R. (2008). Evaluation of snow models in terrestrial biosphere models using ground observation and satellite data: impact on terrestrial ecosystem processes. Hydrological Processes, 22(3), 347–355. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/hyp.6616/abstract

Jetz, W., McPherson, J. M., & Guralnick, R. P. (2012). Integrating biodiversity distribution knowledge: toward a global map of life. Trends in Ecology & Evolution, 27(3), 151–159. Retrieved from http://www.sciencedirect.com/science/article/pii/S0169534711002679

Johnson, L. F., Nemani, R., Hornbuckle, J., Bastiaanssen, W., Thoreson, B., Tisseyre, B., & Pierce, L. (2012). Remote sensing for viticultural research and production. In The Geography of Wine (pp. 209–226). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-94-007-0464-0_12

Johnson, L., Nemani, R., Melton, F., Michaelis, A., Votava, P., Wang, D., & Trout, T. (2010). Information Technology Supports Integration of Satellite Imagery with Irrigation Management in California’s Central Valley (pp. 5–7).

Johnson, L., Pierce, L., Michaelis, A., Scholasch, T., & Nemani, R. (2006). Remote sensing and water balance modeling in california drip-irrigated vineyards. In Proceedings, ASCE World Environmental & Water Resources Congress, Omaha NE (pp. 21–25). Retrieved from http://ascelibrary.org/doi/abs/10.1061/40856(200)293

Johnson Sr, L., & Forrest Melton, S. (n.d.). Satellite irrigation management support with the terrestrial observation and prediction system. In Proc. ASPRS 18th William T. Pecora Memorial Remote Sensing Symp (pp. 14–17). Retrieved from http://www.asprs.org/pecora18/proceedings/Johnson.pdf

Justice, E., & Newcomer, M. (2010). NASA Ames DEVELOP Interns: Helping the Western United States Manage Natural Resources One Project at a Time. Retrieved from http://ntrs.nasa.gov/search.jsp?R=20110008614

Kennedy, R. E., Townsend, P. A., Gross, J. E., Cohen, W. B., Bolstad, P., Wang, Y. Q., & Adams, P. (2009). Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects. Remote Sensing of Environment, 113(7), 1382–1396. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425709000601

Khalsa, S. J. S., Nativi, S., & Geller, G. N. (2009). The GEOSS interoperability process pilot project (IP3). Geoscience and Remote Sensing, IEEE Transactions on, 47(1), 80–91. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4694112

Knutson, M. G., & Heglund, P. J. (2011). 12 Resource Managers Rise to the Challenge of Climate Change. Ecological Consequences of Climate Change: Mechanisms, Conservation, and Management, 261. Retrieved from http://books.google.com/books?hl=en&lr=&id=-PwHSQV4fygC&oi=fnd&pg=PA261&dq=“Terrestrial+Observation+and+Prediction+System”&ots=H45wr15Ade&sig=v0bmSF9lPz4P2YfUdLLw8qQYpxo

Kovalskyy, V., & Roy, D. P. (2013). The global availability of Landsat 5 TM and Landsat 7 ETM+ land surface observations and implications for global 30m Landsat data product generation. Remote Sensing of Environment, 130, 280–293. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425712004609

Kürklü, E., Morris, R. A., & Oza, N. (2007). Learning points of interest for observation flight planning optimization: A preliminary report. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.164

Kwan, J. L., Kluh, S., Madon, M. B., Nguyen, D. V, Barker, C. M., & Reisen, W. K. (2010). Sentinel chicken seroconversions track tangential transmission of West Nile Virus to humans in the greater Los Angeles area of California. The American Journal of Tropical Medicine and Hygiene, 83(5), 1137–1145. Retrieved from http://www.ajtmh.org/content/83/5/1137.short

Kwan, J. L., Kluh, S., Madon, M. B., & Reisen, W. K. (2010). West Nile virus emergence and persistence in Los Angeles, California, 2003–2008. The American Journal of Tropical Medicine and Hygiene, 83(2), 400–412. Retrieved from http://www.ajtmh.org/content/83/2/400.short

Kwan, J. L., Park, B. K., Carpenter, T. E., Ngo, V., Civen, R., & Reisen, W. K. (2012). Comparison of enzootic risk measures for predicting West Nile disease, Los Angeles, California, USA, 2004–2010. Emerging Infectious Diseases, 18(8), 1298. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3414020/

Langhoff, S., Martin, G., Barone, L., Wagener, W., & Director, S. C. (2009). Workshop Report On Sustainable Urban Development. Retrieved from http://event.arc.nasa.gov/main/home/reports/CP-2009-214603.pdf

Little, M., Pitts, K., Loewenstein, M., Iraci, L. T., Milesi, C., Schmidt, C., & Skiles, J. W. (2011a). Using the Terrestrial Observation and Prediction System (TOPS) to Analyze Impacts of Climate Change on California Ecosystems. In AGU Fall Meeting Abstracts (Vol. 1, p. 1743). Retrieved from http://adsabs.harvard.edu/abs/2011AGUFMPA13A1743L

Little, M., Pitts, K., Loewenstein, M., Iraci, L. T., Milesi, C., Schmidt, C., & Skiles, J. W. (2011b). Using the Terrestrial Observation and Prediction System (TOPS) to Analyze Impacts of Climate Change on Ecosystems within Southern California Climate Regions. In AGU Fall Meeting Abstracts (Vol. 1, p. 1742). Retrieved from http://adsabs.harvard.edu/abs/2011AGUFMPA13A1742L

Lozano-Fuentes, S., Barker, C. M., Coleman, M., Coleman, M., Park, B., Reisen, W. K., & Eisen, L. (2011). Emerging information technologies to provide improved decision support for surveillance, prevention, and control of vector-borne diseases. Efficient Decision Support Systems–Practice and Challenges in Biomedical Related Domain, 89–114. Retrieved from http://cdn.intechopen.com/pdfs/18698/InTech-Emerging_information_technologies_to_provide_improved_decision_support_for_surveillance_prevention_and_control_of_vector_borne_diseases.pdf

Marshall, M. T. (2012). Improvements in agricultural water decision support using remote sensing. In AGU Fall Meeting Abstracts (Vol. 1, p. 1249). Retrieved from http://adsabs.harvard.edu/abs/2012AGUFM.H31I1249M

Mayo, C. E., Gardner, I. A., Mullens, B. A., Barker, C. M., Gerry, A. C., Guthrie, A. J., & MacLachlan, N. J. (2012). Anthropogenic and meteorological factors influence vector abundance and prevalence of bluetongue virus infection of dairy cattle in California. Veterinary Microbiology, 155(2), 158–164. Retrieved from http://www.sciencedirect.com/science/article/pii/S0378113511004755

Media, C. for H. and N. (n.d.). Zotero Quick Start Guide. Retrieved from http://zotero.org/support/quick_start_guide

Melton, F., Barker, C., Park, B., Reisen, W., Michaelis, A., Wang, W., … Nemani, R. (2008). Application of Ecosystem Models to Assess Environmental Drivers of Mosquito Abundance and Virus Transmission Risk and Associated Public Health Implications of Climate and Land Use Change. In AGU Fall Meeting Abstracts (Vol. 1, p. 491). Retrieved from http://adsabs.harvard.edu/abs/2008AGUFM.B53B0491M

Melton, F., Goetz, S., Wang, W., Milesi, C., Theobald, D., & Nemani, R. (2010). Modeling Coupled Climate and Urban Land Use Change in the Eastern United States. In AGU Fall Meeting Abstracts (Vol. 1, p. 359). Retrieved from https://nex.nasa.gov/nex/static/media/other/Melton_etal_AGU_10.pdf

Melton, F., Michaelis, A., Votava, P., Milesi, C., Hashimoto, H., Hiatt, S., & Nemani, R. (2007). Remote Sensing and Ecosystem Modeling for Protected Area Management. In AGU Fall Meeting Abstracts (Vol. 1, p. 5). Retrieved from http://adsabs.harvard.edu/abs/2007AGUFMIN41B..05M

Melton, F., Nemani, R. R., Michaelis, A., Barker, C. M., Park, B., & Reisen, W. K. (2008). Monitoring and modeling environmental conditions related to mosquito abundance and virus transmission risk with the NASA Terrestrial Observation and Prediction System (Vol. 76).

Melton, F. S., Johnson, L. F., Lund, C. P., Pierce, L. L., Michaelis, A. R., Hiatt, S. H., … others. (2012). Satellite irrigation management support with the Terrestrial Observation and Prediction System: a framework for integration of satellite and surface observations to support improvements in agricultural water resource management. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 5(6), 1709–1721. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6375772

Melton, F. S., Johnson, L., Lund, C., Michaelis, A., Pierce, L., Guzman, A., … others. (2011). Satellite Irrigation Monitoring and Management Support in California with the Terrestrial Observation and Prediction System. In AGU Fall Meeting Abstracts (Vol. 1, p. 1227). Retrieved from http://adsabs.harvard.edu/abs/2011AGUFM.H21F1227M

Melton, F. S., Lund, C., Johnson, L., Guzman, A., Hiatt, S., Post, K., … others. (2013). Satellite Mapping of Agricultural Water Requirements in California. In AGU Fall Meeting Abstracts (Vol. 1, p. 5). Retrieved from http://adsabs.harvard.edu/abs/2013AGUFM.H41Q..05M

Melton, F. S., Lund, C., Johnson, L., Michaelis, A., Pierce, L., Guzman, A., … others. (2012). Satellite Mapping of Agricultural Water Requirements in California with the Terrestrial Observation and Prediction System. In AGU Fall Meeting Abstracts (Vol. 1, p. 1272). Retrieved from http://adsabs.harvard.edu/abs/2012AGUFM.H21H1272M

Melton, F. S., Nemani, R., Golden, K., Votava, P., Danks, D., Bonnlander, B., … Coughlan, J. (2005). Ecological Forecasting: Advanced Technologies for Discovery in Earth Science Data. In AGU Fall Meeting Abstracts (Vol. 1, p. 315). Retrieved from http://adsabs.harvard.edu/abs/2005AGUFMIN41A0315M

Melton, F. S., Nemani, R. R., Johnson, L. F., Sheffner, E., Michaelis, A., Votava, P., … others. (2009). Application of the NASA Terrestrial Observation and Prediction System for Optimization of Agricultural Water Use in California. In AGU Fall Meeting Abstracts (Vol. 1, p. 997). Retrieved from http://adsabs.harvard.edu/abs/2009AGUFMIN31A0997M

Melton, F., Votava, P., Michaelis, A., Kuhn, B., Milesi, C., Tague, C., & Nemani, R. (2006). Data Integration and Anomaly Detection for Decision Support in Protected Area Management. In AGU Fall Meeting Abstracts (Vol. 1, p. 907). Retrieved from http://adsabs.harvard.edu/abs/2006AGUFMIN43B0907M

Merchant, J. W., & Narumalani, S. (2009). Integrating remote sensing and geographic information systems. SAGE Publications Ltd: London, UK.

Michaelis, A., Geller, G., Wang, W., Melton, F., Nemani, R. R., & Nativi, S. (2008). A Model Web Interoperability Experiment Using The Terrestrial Observation and Prediction System and OpenModeller. In AGU Fall Meeting Abstracts (Vol. 1, p. 1160). Retrieved from http://adsabs.harvard.edu/abs/2008AGUFMIN33A1160M

Milesi, C., Geethalakshmi, V., Rao, G. S., Chowdary, P. S., Michaelis, A., Melton, F., & Hashimoto, H. (2011). Producing valid meteorological data using Terrestrial Observation and Prediction System (TOPS) and ecological forecasting. ASCI (Administrative Staff College of India), Weather Insurance: Addressing the Risk Mitigation Needs of Weather Sensitive Industries in India. Hyderabad, India, 28–29. Retrieved from http://journal.asci.org.in/Vol.41(2011-12)/41_1_Cristina Milesi (Supp).pdf

Milesi, C., Wang, W., Xiong, J., Melton, F. S., Hashimoto, H., Iraci, L. T., & Loewenstein, M. (2012). Use Of The Terrestrial Observation And Prediction System (TOPS) For Developing Climate Adaptation Strategies: Projecting Changes In Tree Biomass And Its Storm Water Regulation Potential For NASA Field Centers. In AGU Fall Meeting Abstracts (Vol. 1, p. 744). Retrieved from http://adsabs.harvard.edu/abs/2012AGUFM.B53F0744M

Mori, N., & Hirakuchi, H. (2004). DEVELOPING ENSEMBLE WAVE PREDICTION SYSTEM. Development, 2. Retrieved from http://www.science.gov/topicpages/p/prediction+system+developed.html

Morik, K., Bhaduri, K., & Kargupta, H. (2012). Introduction to data mining for sustainability. Data Mining and Knowledge Discovery, 24(2), 311–324. Retrieved from http://www.springerlink.com/index/98665462R5219605.pdf

Morris, R., & Dungan, J. (2007). Harnessing the sensor web through model-based observation. In Aerospace Conference, 2007 IEEE (pp. 1–8). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4161493

Morris, R., Dungan, J. L., Khatib, L., & Votava, P. (2007). Goal-Directed Planning for Sensor Webs. In AGU Fall Meeting Abstracts (Vol. 1, p. 6). Retrieved from http://adsabs.harvard.edu/abs/2007AGUFMIN24A..06M

Morris, R., Dungan, J., & Votava, P. (2009). A workflow model for earth observation sensor webs. In Space Mission Challenges for Information Technology, 2009. SMC-IT 2009. Third IEEE International Conference on (pp. 69–76). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5226846

Morris, R., Dungan, J., Votava, P., & Khatib, L. (2008). Coordinated data acquisition on sensor webs. In Aerospace Conference (pp. 1–7). Retrieved from http://esto.nasa.gov/conferences/nstc2007/papers/Morris_Robert_D3P2_NSTC-07-0128.pdf

Nelms, B. M., Macedo, P. A., Kothera, L., Savage, H. M., & Reisen, W. K. (2013). Overwintering Biology of Culex (Diptera: Culicidae) Mosquitoes in the Sacramento Valley of California. Journal of Medical Entomology, 50(4), 773. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920460/

Nemani, R., Hashimoto, H., Votava, P., Melton, F., Wang, W., Michaelis, A., … White, M. (2009). Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS). Remote Sensing of Environment, 113(7), 1497–1509. Retrieved from http://www.sciencedirect.com/science/article/pii/S0034425709000558

Nemani, R. R., Votava, P., Golden, K., Hashimoto, H., Jolly, M., White, M., … Coughlan, J. (2003). Biospheric Monitoring and Ecological Forecasting using EOS/MODIS data, ecosystem modeling, planning and scheduling technologies. In AGU Fall Meeting Abstracts (Vol. 1, p. 755). Retrieved from http://adsabs.harvard.edu/abs/2003AGUFM.B21E0755N

Nemani, R. R., Votava, P., Michaelis, A., Ichii, K., Hashimoto, H., Milesi, C., … White, M. (2006). Terrestrial ecosystem nowcasts and forecasts for North America. In AGU Fall Meeting Abstracts (Vol. 1, p. 274). Retrieved from http://adsabs.harvard.edu/abs/2006AGUFM.B43B0274N

Nemani, R., Votava, P., Michaelis, A., Melton, F., & Milesi, C. (2011). Collaborative supercomputing for global change science. Eos, Transactions American Geophysical Union, 92(13), 109–110. Retrieved from http://onlinelibrary.wiley.com/doi/10.1029/2011EO130001/abstract

Nemani, R., Votava, P., Michaelis, A., White, M., Melton, F., Coughlan, J., … others. (2007). Remote sensing methodologies for ecosystem management. Food and Water Security, 3–19. Retrieved from http://books.google.com/books?hl=en&lr=&id=1-LoohtZ_kMC&oi=fnd&pg=PA3&dq=“Terrestrial+Observation+and+Prediction+System”&ots=9WnGY02fXG&sig=rHyqElHPEtftlH-rSjIGC1B2CqA

Nemani, R., Votava, P., Michaelis, A., White, M., Melton, F., Coughlan, J., … others. (2007). Terrestrial Observation and Prediction System (TOPS): Developing ecological nowcasts and forecasts by integrating surface, satellite and climate data with simulation models. Research and Economic Applications of Remote Sensing Data Products. Aswathanarayana, U. and R. Balaii (eds.). American Geophysical Union. Retrieved from http://ecocast.arc.nasa.gov/pubs/pdfs/2005/TOPS_AGU.pdf

Nemani, R., Votava, P., Roads, J., White, M., Running, S., & Coughlan, J. (2002). Terrestrial observation and prediction system: Integration of satellite and surface weather observations with ecosystem models. In Geoscience and Remote Sensing Symposium, 2002. IGARSS’02. 2002 IEEE International (Vol. 4, pp. 2394–2396). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1026555

Neuschwander, A., & Coughlan, J. (2002). Distributed application framework for Earth science data processing. In Geoscience and Remote Sensing Symposium, 2002. IGARSS’02. 2002 IEEE International (Vol. 2, pp. 717–719). IEEE. Retrieved from http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1025645

Pang, K. G. R. N. W., & Votava, P. (n.d.). An Intelligent Agent for On-Demand Mission Data Products. Retrieved from http://robotics.estec.esa.int/i-SAIRAS/isairas2005/session_10c/3_golden_10c.pdf

Pang, W.-L., & Golden, K. (2004). Structure Constraints in a Constraint-Based Planner. Retrieved from http://ntrs.nasa.gov/search.jsp?R=20040084572

Petrescu, S., & Bucur, L. (2010). Real time traffic monitoring based on travel time minimization. In Large Scale Complex Systems Theory and Applications (Vol. 9, pp. 267–272). Retrieved from http://www.ifac-papersonline.net/Detailed/45853.html

Pettorelli, N., Chauvenet, A. L. M., Duffy, J. P., Cornforth, W. A., Meillere, A., & Baillie, J. E. M. (2012). Tracking the effect of climate change on ecosystem functioning using protected areas: Africa as a case study. Ecological Indicators, 20, 269–276. Retrieved from http://www.sciencedirect.com/science/article/pii/S1470160X1200060X

Pettorelli, N., Safi, K., & Turner, W. (2014). Satellite remote sensing, biodiversity research and conservation of the future. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1643), 20130190. Retrieved from http://rstb.royalsocietypublishing.org/content/369/1643/20130190.short

Pike, A., Danner, E., Boughton, D., Melton, F., Nemani, R., Rajagopalan, B., & Lindley, S. (2013). Forecasting river temperatures in real time using a stochastic dynamics approach. Water Resources Research, 49(9), 5168–5182. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/wrcr.20389/full

Pike, A., Danner, E., Lindley, S., Melton, F. S., Nemani, R. R., & Hashimoto, H. (2010). A state-space approach to predict stream temperatures and quantify model error: Application on the Sacramento River, California. In AGU Fall Meeting Abstracts (Vol. 1, p. 3). Retrieved from http://adsabs.harvard.edu/abs/2010agufm.h24a..03p

Pike, A., Danner, E., Lindley, S., Melton, F. S., Nemani, R. R., Hashimoto, H., … Caldwell, R. J. (2009). Improving stream temperature model predictions using high-resolution satellite-derived numerical weather forecasts. In AGU Fall Meeting Abstracts (Vol. 1, p. 6). Retrieved from http://adsabs.harvard.edu/abs/2009AGUFM.H14C..06P

Pitts, K., Gonzales, A., Loewenstein, M., Iraci, L., Milesi, C., & Skiles, J. W. (n.d.). NASA AMES RESEARCH CENTER CLIMATE CHANGE EFFECTS AND ADAPTATION RESEARCH: HIND-AND FORECASTING FLOOD RISK OF NASA AMES RESEARCH CENTER USING THE BASINS MODEL. Retrieved from https://nex.nasa.gov/nex/static/media/publication/Develop2010_Climate_team_paper.pdf

Pitts, K., Little, M., Loewenstein, M., Iraci, L. T., Milesi, C., Schmidt, C., & Skiles, J. W. (2011). Using the Terrestrial Observation and Prediction System (TOPS) to Analyze Impacts of Climate Change on Ecosystems within Northern California Climate Regions. In AGU Fall Meeting Abstracts (Vol. 1, p. 1741). Retrieved from http://adsabs.harvard.edu/abs/2011AGUFMPA13A1741P

Pitts, K., Little, M., & Schmidt, C. (n.d.). CLIMATE ADAPTATION SCIENCE INVESTIGATION (CASI) AT NASA AMES RESEARCH CENTER: USING THE TERRESTRIAL OBSERVATION AND PREDICTION SYSTEM (TOPS) TO ANALYZE IMPACTS OF CLIMATE CHANGE ON CALIFORNIA ECOSYSTEMS. Retrieved from http://info.asprs.org/publications/proceedings/Sacramento2012/files/Pitts.pdf

Prabhakar, S., Rao, G. S., Fukuda, K., & Hayashi, S. (2013). Promoting Risk Insurance in the Asia-Pacific Region Lessons from the Ground for the Future Climate Regime under UNFCCC (pp. 303–323). John Wiley & Sons, Ltd., Hoboken, NJ. Retrieved from http://pub.iges.or.jp/modules/envirolib/upload/4759/attach/Book_chapter_Prabhakar_et_al_risk_insurance_final.pdf

Psomas, A., Itten, K. I., Zimmermann, N. E., & Kneubühler, M. (n.d.). HYPERSPECTRAL REMOTE SENSING FOR ECOLOGICAL ANALYSES OF GRASSLAND ECOSYSTEMS. Retrieved from http://www.geo.uzh.ch/fileadmin/files/content/abteilungen/rsl1/Publications/PhD_Theses/2008_AchillesPsomas.pdf

Purdy, A. J., Lund, C., Pierce, L., Melton, F. S., Guzman, A., Harlen, I., … others. (2011). Applications of wireless sensor networks, soil water balance modeling, and satellite data for crop evapotranspiration monitoring and irrigation management support. In AGU Fall Meeting Abstracts (Vol. 1, p. 1210). Retrieved from http://adsabs.harvard.edu/abs/2011agufm.h21f1210p

RAMAKRISHNA, R. (n.d.). Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 2. Carbon balance. Retrieved from http://ecocast.arc.nasa.gov/pubs/pdfs/2010/Wang_GCB_2010b.pdf

Reisen, W. K. (2010). Landscape epidemiology of vector-borne diseases. Annual Review of Entomology, 55, 461–483. Retrieved from http://www.annualreviews.org/doi/abs/10.1146/annurev-ento-112408-085419

Reisen, W. K., Carroll, B. D., Takahashi, R., Fang, Y., Garcia, S., Martinez, V. M., & Quiring, R. (2009). Repeated West Nile virus epidemic transmission in Kern county, California, 2004–2007. Journal of Medical Entomology, 46(1), 139. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2729460/

Robertson, A. W., Lall, U., Zebiak, S. E., & Goddard, L. (2004). Improved combination of multiple atmospheric GCM ensembles for seasonal prediction. Monthly Weather Review, 132(12), 2732–2744. Retrieved from http://journals.ametsoc.org/doi/abs/10.1175/MWR2818.1

Robinson, J., Lonergan, M., Singh, L., Candido, A., & Sayal, M. (2012). SHARD: a framework for sequential, hierarchical anomaly ranking and detection. In Advances in Knowledge Discovery and Data Mining (pp. 243–255). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3-642-30220-6_21