The CONNected objECT, or CONNECT algorithm applied to National Aeronautics and Space Administration (NASA) Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA V2) - Integrated Water Vapor from 1980 to 2016
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Description
This collection contains global Integrated Water Vapor (IVT) objects and captures water vapor transport mechanisms important in global water vapor transport (e.g., tropical cyclones, monsoons) including life-cycle tracking. This data isolates IVT transport events by applying: The CONNected objECT, or CONNECT algorithm. The four-dimensional (4D) object oriented algorithm was developed by a team of researchers from the University of California, Irvine [Sellars et al., 2013, 2015]. Earth science variables can be described as statistical 4D objects evolving in space (2D), time (1D), and magnitude of the selected variable (IVT in this case) (1D). The algorithm defines objects by identifying instantaneous IVT ‘‘footprints’’ (i.e., the geographic spatial patterns) and recognizes the sequential footprints from the same system with overlapped or “connected” areas in time and space. Each object has a unique ID and set of selected characteristics. Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Sellars, Scott L.; Nguyen, Phu; Kawzenuk, Brian (2017). The CONNected objECT, or CONNECT algorithm applied to National Aeronautics and Space Administration (NASA) Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA V2) - Integrated Water Vapor from 1980 to 2016. UC San Diego Library Digital Collections. https://doi.org/10.6075/J01834P8 Is Referenced By: Sellars, S. L., Kawzenuk, B., Nguyen, P., Ralph, F. M. & Sorooshian, S. (2017). Genesis, Pathways, and Terminations of Intense Global Water Vapor Transport in Association with Large-Scale Climate Patterns. Geophysical Research Letters, 44. https://doi.org/10.1002/2017GL075495 Is Old Version Of: Shearer, Eric J.; Nguyen, Phu; Sellars, Scott L.; Analui, Bita; Kawzenuk, Brian; Hsu, Kuo-Lin; Sorooshian, Soroosh (2020). The Atmospheric River-CONNected objECT (AR-CONNECT) algorithm applied to the National Aeronautics and Space Administration (NASA) Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA V2) - 1983 to 2016. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0D21W00 References: Sellars, S., Gao, X., & Sorooshian, S. (2015). An Object-Oriented Approach to Investigate Impacts of Climate Oscillations on Precipitation: A Western United States Case Study. Journal of Hydrometeorology, 16(2), 830–842. https://doi.org/10.1175/JHM-D-14-0101.1 Sellars, S., Nguyen, P., Chu, W., Gao, X., Hsu, K., & Sorooshian, S. (2013). Computational Earth Science: Big Data Transformed Into Insight. Eos, Transactions American Geophysical Union, 94, 277–278. https://doi.org/10.1002/2013EO320001 Contents: IVT-CONNECT-750_Object_Counts.nc: NetCDF file containing the number of IVT-CONNECT objects in gridded format. IVT-CONNECT-750_Object_Statistics.csv: CSV file containing statistics for all IVT-CONNECT Objects. /Latitude_Longitude_Files: Contains text files with IVT-CONNECT object information at each MERRA-V2 latitude and longitude grid point. /Object_Files: Contains text files for each IVT-CONNECT object
Type
Dataset
Language
English
Subject
NASA Modern-Era Retrospective analysis for Research and Applications (MERRA-2) Object-oriented programming Water vapor transport Hydrologic cycle CONNected objECT (CONNECT) algorithm Integrated water vapor
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