Usage examples for all datasets listed in the Registry of Open Data on AWS tagged with environmental.
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Tools & Applications
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A solar azimuth formula that renders circumstantial treatment unnecessary without compromising mathematical rigor: Mathematical setup, application and extension of a formula based on the subsolar point and atan2 function by Zhang, T., P. W. Stackhouse, B. Macpherson, and J. C. Mikovitz
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Application of a global-to-beam irradiance model to the NASA GEWEX SRB dataset: An extension of the NASA Surface meteorology and Solar Energy datasets by Zhang, T., P. W. Stackhouse, W. S. Chandler, and D. J. Westberg
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Application of Satellite Sensor Data and Models for Energy Management by Zell, E., J. Engel-Cox, R. Eckman, and P. Stackhouse
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Association between solar insolation and a history of suicide attempts in bipolar I disorder by Bauer M, et al., Stackhouse PW Jr., et al.
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CEOS contributions to informing energy management and policy decision making using space-based Earth observations by Eckman, R. S., and P. W. Stackhouse
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Enhancing Climate Resilience at NASA Centers: A Collaboration between Science and Stewardship by Rosenzweig, C., and Coauthors
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Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US by White, J. W., G. Hoogenboom, P. W. Stackhouse, and J. M. Hoell
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Evaluation of Satellite-Based, Modeled-Derived Daily Solar Radiation Data for the Continental United States by White, J. W., G. Hoogenboom, P. W. Wilkens, P. W. Stackhouse, and J. M. Hoel
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Global Surface Solar Energy Anomalies Including El Nino and La Nina Years. by C. H., and Coauthors
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Modeling the potential for thermal concentrating solar power technologies by Zhang, Y., S. J. Smith, G. P. Kyle, and P. W. Stackhouse
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NASA Climatological Data for Renewable Energy Assessment by Chandler, W. S., C. H. Whitlock, and P. W. Stackhouse
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The Contribution of Solar Brightening to the US Maize Yield Trend by Tollenaar, T., J. Fridgen, P. Tyagi, P. W. Stackhouse Jr., and S. Kumudini
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Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder by Bauer, M., and Coauthors
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Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling by Pieter Gagnon et al 2018 Environ. Res. Lett. 13 024027
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On the Use of Coupled Wind, Wave, and Current Fields in the Simulation of Loads on BottomSupported Offshore Wind Turbines during Hurricanes by E. Kim, L. Manuel, M. Curcic, S. S. Chen, C. Phillips, P. Veers
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Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment by Pieter Gagnon, Robert Margolis, Jennifer Melius, Caleb Phillips, and Ryan Elmore
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Rooftop Solar Technical Potential for Low-to-Moderate Income Households in the United States by Benjamin Sigrin and Meghan Mooney
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The Distributed Generation Market Demand Model (dGen):Documentation by B. Sigrin, M. Gleason, R. Preus, I. Baring-Gould, R. Margolis
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Tracking the Sun Pricing and Design Trends for Distributed Photovoltaic Systems in the United States: 2019 Edition by G. Barbose, N. Darghouth
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Using GIS-based methods and lidar data to estimate rooftop solar technical potential in US cities by Robert Margolis et al 2017 Environ. Res. Lett. 12 074013
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A Twenty-Year Analysis of Winds in California for Offshore Wind Energy Production Using WRF v4.1.2 by Alex Rybchuk, Mike Optis, Julie K. Lundquist, Michael Rossol, Walt Musial
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Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit by Caroline Draxl, Bri-Mathias Hodge, Andrew Clifton, Jim McCaa
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Power from wind: Open data on AWS by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer
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The Wind Integration National Dataset (WIND) Toolkit by Caroline Draxl, Andrew Clifton, Bri-Mathias Hodge, Jim McCaa
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Validation of Power Output for the WIND Toolkit by J. King, Andrew Clifton, Bri-Mathias Hodge
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WTK-LED: The WIND Toolkit Long-Term Ensemble Dataset by Caroline Draxl, Jiali Wang, Lindsay Sheridan, et al.
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An Overview of the Western United States Dynamically Downscaled Dataset (WUS-D3) by Rahimi, S., Huang, L., Norris, J., Hall, A., Goldenson, N., Krantz, W., Bass, B., Thackeray, C., Lin, H., Chen, D., Dennis, E., Collins, E., Lebo, Z. J., Slinskey, E., Graves, S., Biyani, S., Wang, B., Cropper, S., and the UCLA Center for Climate Science Team
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Is Bias Correction in Dynamical Downscaling Defensible? by Risser, M. D., Rahimi, S., Goldenson, N., Hall, A., Lebo, Z. J., and Feldman, D. R.
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Memo on the Development and Availability of Dynamically Downscaled Projections Using WRF by Stefan Rahimi
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Memo on the Evaluation of Downscaled GCMs Using WRF by Stefan Rahimi
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Memorandum on Evaluating Global Climate Models for Studying Regional Climate Change in California by Will Krantz, David Pierce, Naomi Goldenson, Daniel Cayan
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Understanding the Cascade: Removing GCM Biases Improves Dynamically Downscaled Climate Projections by Rahimi, S., Huang, L., Norris, J., Hall, A., Goldenson, N., Risser, M., Feldman, D. R., Lebo, Z. J., Dennis, E., and Thackeray, C.
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Comparison of differential accessibility analysis strategies for ATAC-seq data by Gontarz P, Fu S, Xing X, Liu S, Miao B et.al.
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Environmental Determinants of cardiovasular disease: lessons learned from air pollution by Al-Kindi SG, Brook RD, Biswal S, Rajagopalan S.
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Epigenetic biomarkers and preterm birth by Park B, Khanam R, Vinayachandran V, et.al.
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Metabolic effects of air pollution exposure and reversibility by Rajagopalan S, Park B, Palanivel R, et al.
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The NIEHS TaRGET II Consortium and environmental epigenomics by Wang, T., Pehrsson, E., Purushotham, D. et al.
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The role of environmental exposures and the epigenome in health and disease. by Perera BPU, Faulk C, Svoboda LK, Goodrich JM, Dolinoy DC.
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NOAA's National Water Model: Advancing Operational Hydrology Through Continental-scale Modeling. by Brian Cosgrove, David Gochis, Trey Flowers, Aubrey Dugger, Fred Ogden, Tom Graziano, Ed Clark, et al; 2024
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On Strictly Enforced Mass Conservation Constraints for Modeling the Rainfall-Runoff Process by Jonathan M. Frame, Frederik Kratzert, Hoshin V. Gupta, Paul Ullrich and Grey S. Nearing
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Simulating storm surge and compound flooding events with a creek-to-ocean model: Importance of baroclinic effects by Fei Ye, et al.
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Generating Global Temporal Coherence Maps from one year of Sentinel-1 C-band data, ESA Fringe 2021 Poster (Youtube) by Oliver Cartus, Josef Kellndorfer, Shadi Oveisgharan, Batu Osmanoglu, Paul Rosen, Urs Wegmüller
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Global seasonal Sentinel-1 interferometric coherence and backscatter data set by Josef Kellndorfer, Oliver Cartus, Marco Lavalle, Christophe Magnard, Pietro Milillo, Shadi Oveisgharan, Batu Osmanoglu, Paul A. Rosen, Urs Wegmüller
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Webinar: The new era of SAR Time Series Analysis and Visualization: Cloud meets Big SAR Data. IEEE GRSS Bay Area Chapter (Dec. 3rd 2021) by Josef Kellndorfer
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An empirically derived emission algorithm for wind-blown dust (J.Geophys. Res., 115, D16212) by Draxler, R. R., P. Ginoux, and A. F. Stein
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Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 (2022, Geosci. Model Dev., 15, 3281–3313) by Campbell, P.C., and Coauthors
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Development of the next-generation air quality prediction system in the UFS framework: Enhancing predictability of wildfire air quality impacts (2024)(Bull. Amer. Meteor. Soc. In review) by Huang, J.P., I. Stajner, R. Montuoro, F. Yang, K. Wang, H.-C. Huang, C.-H. Jeon, B. Curtis, J. McQueen, H. Liu, B. Baker, D. Tong , Y. Tang, P. Campbell, G. Grell, G. Frost, R. Schwantes, S. Wang, S. Kondragunta, F. Li, and Y. Jung
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Improving NOAA NAQFC PM2.5 predictions with a bias correction approach (2017, Wea. and Forecasting, 32(2), 407–421) by Huang, J., McQueen, J., Wilczak, J., Djalalova, I., Stajner, I., Shafran, P., Allured, D., Lee, P., Pan, L., Tong, D., Huang, H.-C., DiMego, G., Upadhayay, S., & Delle Monache, L
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Using VIIRS fire radiative power data to simulate biomass burning emissions, plume rise and smoke transport in a real-time air quality modeling system (Proc. 2017 IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS0),Fort Worth, TX, IEEE, 2806–2808) by Ahmadov, R., and Coauthors
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Performance Characteristics of “Spotter,” a Newly Developed Real-Time Wave Measurement Buoy (2019) by K. Raghukumar, G. Chang, F. Spada, C. Jones, T. Janssen, A. Gans
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Performance Statistics of a Real-Time Pacific Ocean Weather Sensor Network (2021) by I. Houghton, P. Smit, D. Clark, C. Dunning, A. Fisher, N. Nidzieko, P. Chamberlain, T. Janssen
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Adjusting for desert-dust-related biases in a climate data record of sea surface temperature (2020). by Merchant, C.J. and Embury, O.
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Satellite-based time-series of sea-surface temperature since 1981 for climate applications (2019). by Merchant, C.J., Embury, O., Bulgin, C.E., Block, T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R. and Donlon, C.
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Tutorials
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NASA and ASDI announce no-cost access to important climate dataset on the AWS Cloud by Dr. Manil Maskey and Ana Pinheiro Privette
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NASA Global Daily Downscaled Projections, CMIP6 by Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T. and Nemani, R.
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A Dataset of Hourly Sea Surface Temperature From Drifting Buoys (2022) by Elipot, S., A. Sykulski, R. Lumpkin, L. Centurioni, and M. Pazos
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A global surface drifter dataset at hourly resolution (2016) by Elipot, S., R. Lumpkin, R. C. Perez, J. M. Lilly, J. J. Early, and A. M. Sykulski
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The Office of Water Prediction's Analysis of Record for Calibration, version 1.1: Dataset description and precipitation evaluation (09 July 2023). J. Am. Water Resour. Assoc., 59 (6). 1246-1272. by Greg Fall, David Kitzmiller, Sandra Pavlovic, Ziya Zhang, Nathan Patrick, Michael St. Laurent, Carl Trypaluk, Wanru Wu, and Dennis Miller
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Advances in Seasonal Predictions of Arctic Sea Ice With NOAA UFS by Jieshun Zhu, Wanqiu Wang, Yanyun Liu, Arun Kumar, and David DeWitt
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The impact of tropical SST biases on the S2S precipitation forecast skill over the Contiguous United States in the UFS global coupled model by Hedanqiu Bai, Bin Li, Avichal Mehra, Jessica Meixner, Shrinivas Moorthi, Sulagna Ray, Lydia Stefanova, Jiande Wang, Jun Wang, Denise Worthen, Fanglin Yang, and Cristiana Stan
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If you want to add a dataset or usage example to this registry, please follow the instructions on the Registry of Open Data on AWS GitHub repository or tell us about your project.
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