• Ashouri, H., K. L. Hsu, S. Sorooshian, D. K. Braithwaite, K. R. Knapp, L. D. Cecil, B. R. Nelson, and O. P. Prat, 2015: PERSIANN-CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies. Bull. Amer. Meteor. Soc., 96, 6983, doi:10.1175/BAMS-D-13-00068.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ashouri, H., P. Nguyen, A. Thorstensen, K. L. Hsu, S. Sorooshian, and D. Braithwaite, 2016: Assessing the efficacy of high-resolution satellite-based PERSIANN-CDR precipitation product in simulating streamflow. J. Hydrometeor., 17, 20612076, doi:10.1175/JHM-D-15-0192.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Channan, S., K. Collins, and W. R. Emanuel, 2014: Global mosaics of the standard MODIS land cover type data. University of Maryland and the Pacific Northwest National Laboratory, College Park, Maryland.

  • Damberg L., and A. AghaKouchak, 2014: Global trends and patterns of drought from space. Theor. Appl. Climatol., 117, 441448, doi:10.1007/s00704-013-1019-5.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hsu, K., X. Gao, S. Sorooshian, and H. V. Gupta, 1997: Precipitation estimation from remotely sensed information using artificial neural networks. J. Appl. Meteor. Climatol., 36, 11761190, doi:10.1175/1520-0450(1997)0362.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kendall, M., 1976: Rank Correlation Methods. 4th ed. Griffin, 202 pp.

  • Lehner, B., and G. Grill, 2013: Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrol. Processes, 27, 21712186, doi:10.1002/hyp.9740.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mann, H., 1945: Nonparametric tests against trend. Econometrica, 13, 245259, doi:10.2307/1907187.

  • Miao, C., and et al. , 2015: Evaluation of the PERSIANN-CDR daily rainfall estimates in capturing the behavior of extreme precipitation events over China. J. Hydrometeor., 16, 13871396, doi:10.1175/JHM-D-14-0174.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sorooshian, S., K. L. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite, 2000: Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull. Amer. Meteor. Soc., 81, 20352046, doi:10.1175/1520-0477(2000)081<2035:EOPSSE>2.3.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Taylor, K. E., R. J. Stouffer, and G. A. Meehl, 2012: An overview of CMIP5 and the experiment design. Bull. Amer. Meteor. Soc., 93, 485498, doi:10.1175/BAMS-D-11-00094.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 39 39 8
PDF Downloads 57 57 0

Exploring Trends through “RainSphere”: Research data transformed into public knowledge

View More View Less
  • 1 Center for Hydrometeorology and Remote Sensing (CHRS) and Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, California, and Nong Lam University, Ho Chi Minh City, Vietnam
  • | 2 Center for Hydrometeorology and Remote Sensing (CHRS) and Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, California
© Get Permissions
Restricted access

© 2017 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

CORRESPONDING AUTHOR E-MAIL: Phu Nguyen, ndphu@uci.edu

© 2017 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

CORRESPONDING AUTHOR E-MAIL: Phu Nguyen, ndphu@uci.edu
Save