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Customized Online Aggregation & Summarization Tool for Environmental Rasters (COASTER)

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DOI: 10.4236/jgis.2012.46058    3,390 Downloads   5,074 Views   Citations


The Customized Online Aggregation & Summarization Tool for Environmental Rasters (COASTER) system
( was developed by Yellowstone Ecological Research Center (YERC)
( in response to the information needs of end-user communities interested in decision-support for natural resource management. The purpose of COASTER is to greatly simplify the process of creating predictor datasets for research exploring environmental impacts driven by climate change, land-use activities, disturbance, and invasive spread. COASTER achieves this goal by providing users with a web-based system for processing environmental (gridded, raster) datasets, using a set of standardized functions, to create output customized to meet their analytical needs. In doing so, COASTER effectively translates large and cumbersome datasets into user-specified information useful for parameterizing statistical models and for visualizing spatial and temporal patterns within environmental datasets. The COASTER system currently contains over 10 terabytes of climate data from several sources. These datasets have daily temporal resolutions, spatial resolutions ranging from 1km to 330km, and temporal extents ranging from 30 to 64 years (1948-2011). COASTER datasets are primarily limited to North America, but gridded datasets from other regions can easily be added to the system. Variables within the climatic datasets available on COASTER include metrics quantifying temperature, precipitation, shortwave radiation, vapor pressure deficit, humidity, and wind conditions. Notable features of COASTER include a conceptually simple yet flexible set of functions capable of producing a wide range of outputs, a design applicable to many types of raster datasets, and results formatted for seamless integration within most GIS and remote sensing software packages.

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D. J. Weiss, K. Gibson, C. Sojka, J. W. Sheldon and R. L. Crabtree, "Customized Online Aggregation & Summarization Tool for Environmental Rasters (COASTER)," Journal of Geographic Information System, Vol. 4 No. 6, 2012, pp. 530-541. doi: 10.4236/jgis.2012.46058.


[1] R. Nemani, H. Hashimoto, P. Votava, F. Melton, W. Wang, A. Michaelis, L. Mutch, C. Milesi, S. Hiatt and M. White, “Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS),” Remote Sensing of Environment, Vol. 113, No. 7, 2009, pp. 1497-1509. doi:10.1016/j.rse.2008.06.017
[2] Nemani, R., P. Votava, A. Michaelis, M. White, F. Melton, J. Coughlan, K. Golden, H. Hashimoto, K. Ichii, L. Johnson, M. Jolly, C. Milesi, R. Myneni, L. Pierce, S. Running, C. Tague and W. Pang, “Terrestrial Observation and Prediction System (TOPS): Developing Ecological Nowcasts and Forecasts by Integrating Surface, Satellite and Climate Data with Simulation Models,” The Research and Economic Applications of Remote Sensing Data Products, American Geophysical Union, 2005.
[3] P. E. Thornton, S. W. Running and M. A. White, “Generating Surfaces of Daily Meteorological Variables over Large Regions of Complex Terrain,” Journal of Hydrology, Vol. 190, 1997, pp. 214-251. doi:10.1016/S0022-1694(96)03128-9
[4] C. Daly, R. P. Neilson and D. L. Phillips, “A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain,” Journal of Applied Meteorology, Vol. 33, No. 2, 1994, pp. 140-158. doi:10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2
[5] E. Kalnay, M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, A. Leetmaa, R. Reynolds, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K. C. Mo, C. Ropelewski, J. Wang, R. Jenne, D. Joseph, “The NCEP/ NCAR 40-Year Reanalysis Project,” Bulletin of the American Meteorological Society, Vol. 77, No. 3, 1996, pp. 437-471. doi:10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
[6] R. W. Higgins, J. E. Janowiack and Y.-P. Yao, “A Gridded Hourly Precipitation Data Base for the United States (1963-1993),” NCEP/Climate Prediction Center Atlas 1, National Centers for Environmental Prediction, 1996, 46 pp.
[7] F. Mesinger, G. DiMego, E. Kalnay, K. Mitchell, P. C. Shafran, W. Ebisuzaki, D. Jovi?, J. Woollen, E. Rogers, E. H. Berbery, M. B. Ek, Y. Fan, R. Grumbine, W. Higgins, H. Li, Y. Lin, G. Manikin, D. Parrish, W. Shi, “North American Regional Reanalysis,” Bulletin of the American Meteorological Society, Vol. 87, No. 3, 2006, pp. 343360. doi:10.1175/BAMS-87-3-343
[8] T. Wang, A. Hamann, D. L. Spittlehouse and S. N. Aitken, “Development of Scale-Free Climate Data for Western Canada for Use in Resource Management,” International Journal of Climatology, Vol. 26, No. 3, 2006, pp. 383-397. doi:10.1002/joc.1247
[9] M. S. Mbogga, A. Hamann and T. Wang, “Historical and Projected Climate Data for Natural Resource Management in Western Canada,” Agricultural and Forest Meteorology, Vol. 149, No. 5, 2009, pp. 881-890. doi:10.1016/j.agrformet.2008.11.009
[10] T. D. Mitchell, P. D. Jones, “An Improved Method of Constructing a Database of Monthly Climate Observations and Associated High-Resolution Grids,” International Journal of Climatology, Vol. 25, No. 6, 2005, pp. 693-712. doi:10.1002/joc.1181
[11] R. J. Hijmans, S. E. Cameron, J. L. Parra, P. G. Jones and A. Jarvis, “Very High Resolution Interpolated Climate Surfaces for Global Land Areas,” International Journal of Climatology, Vol. 25, No. 15, 2005, pp. 1965-1978. doi:10.1002/joc.1276
[12] D. J. Kriticos, B. L. Webber, A. Leriche, N. Ota, I. Macadam, J. Bathols and J. K. Scott, “CliMond: Global HighResolution Historical and Future Scenario Climate Surfaces for Bioclimatic Modelling,” Methods in Ecology and Evolution, Vol. 3, No. 1, 2012, pp. 53-64. doi:10.1111/j.2041-210X.2011.00134.x
[13] M. Huang, D. R. Maidment and Y. Tian, “Using SOA and RIAs for Water Data Discovery and Retrieval,” Environmental Modelling & Software, Vol. 26, No. 11, 2011, pp. 1309-1324. doi:10.1016/j.envsoft.2011.05.008

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