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

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

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.

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

• 2016

• 2017

• Kawzenuk, Brian K.
• Nguyen, Phu
• Sellars, Scott L.

• CONNected objECT (CONNECT) algorithm
• Hydrologic cycle
• Integrated water vapor
• NASA Modern-Era Retrospective analysis for Research and Applications (MERRA-2)
• Object-oriented programming
• Water vapor transport

• data

• English

Doi: https://doi.org/10.6075/J01834P8

Primary associated publication

• 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

Newer version

• 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

Reference

• 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

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2023-06-05