staging
Library Digital Collections
Library Digital Collections

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

View Collection Items

Collections »

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

About this collection

Extent

1 digital object.

Cite This Work

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

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.

Creation Date
  • 2016
Date Issued
  • 2017
Authors
Topics

Format

View formats within this collection

Language
  • English
Related Resources

    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

The CONNected objECT, or CONNECT algorithm applied to National Aeronautics and Space Administration (NASA) Modern-Era Retr...
View Collection Items