Long-Term, Gridded Standardized Precipitation Index for Hawai'i

被引:4
作者
Lucas, Matthew P. [1 ]
Trauernicht, Clay [2 ]
Frazier, Abby G. [1 ,3 ]
Miura, Tomoaki [2 ]
机构
[1] Univ Hawaii Manoa, Dept Geog & Environm, Honolulu, HI 96822 USA
[2] Univ Hawaii Manoa, Dept Nat Resources & Environm Management, Honolulu, HI 96822 USA
[3] East West Ctr, Honolulu, HI 96848 USA
关键词
Standardized Precipitation Index; drought; Hawai'i; gridded data; climate; rainfall; DROUGHT; RAINFALL;
D O I
10.3390/data5040109
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Spatially explicit, wall-to-wall rainfall data provide foundational climatic information but alone are inadequate for characterizing meteorological, hydrological, agricultural, or ecological drought. The Standardized Precipitation Index (SPI) is one of the most widely used indicators of drought and defines localized conditions of both drought and excess rainfall based on period-specific (e.g., 1-month, 6-month, 12-month) accumulated precipitation relative to multi-year averages. A 93-year (1920-2012), high-resolution (250 m) gridded dataset of monthly rainfall available for the State of Hawai'i was used to derive gridded, monthly SPI values for 1-, 3-, 6-, 9-, 12-, 24-, 36-, 48-, and 60-month intervals. Gridded SPI data were validated against independent, station-based calculations of SPI provided by the National Weather Service. The gridded SPI product was also compared with the U.S. Drought Monitor during the overlapping period. This SPI product provides several advantages over currently available drought indices for Hawai'i in that it has statewide coverage over a long historical period at high spatial resolution to capture fine-scale climatic gradients and monitor changes in local drought severity. Dataset:https://doi.org/10.4211/hs.822553ead1d04869b5b3e1e3a3817ec6. Dataset License: This dataset is licensed under a CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license.
引用
收藏
页码:1 / 9
页数:9
相关论文
共 26 条
  • [11] Giambelluca T.W., 1991, DROUGHT HAWAII
  • [12] ONLINE RAINFALL ATLAS OF HAWAI'I
    Giambelluca, Thomas W.
    Chen, Qi
    Frazier, Abby G.
    Price, Jonathan P.
    Chen, Yi-Leng
    Chu, Pao-Shin
    Eischeid, Jon K.
    Delparte, Donna M.
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2013, 94 (03) : 313 - 316
  • [13] Accepting the standardized precipitation index: A calculation algorithm
    Guttman, NB
    [J]. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 1999, 35 (02): : 311 - 322
  • [14] A Nonparametric Multivariate Multi-Index Drought Monitoring Framework
    Hao, Zengchao
    AghaKouchak, Amir
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2014, 15 (01) : 89 - 101
  • [15] THE LINCOLN DECLARATION ON DROUGHT INDICES
    Hayes, Michael
    Svoboda, Mark
    Wall, Nicole
    Widhalm, Melissa
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2011, 92 (04) : 485 - 488
  • [16] Keetch J.J., 1968, DROUGHT INDEX FOREST, DOI [10.1016/j.accpm.2015.04.007, DOI 10.1016/J.ACCPM.2015.04.007]
  • [17] MCKEE TB, 1993, P 8 C APPL CLIM AN C
  • [18] Use of Daily Station Observations to Produce High-Resolution Gridded Probabilistic Precipitation and Temperature Time Series for the Hawaiian Islands
    Newman, Andrew J.
    Clark, Martyn P.
    Longman, Ryan J.
    Gilleland, Eric
    Giambelluca, Thomas W.
    Arnold, Jeffrey R.
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2019, 20 (03) : 509 - 529
  • [19] Palmer W. C., 1965, Research Paper, V45, P58, DOI DOI 10.2172/5171425
  • [20] Palmer W.C., 1968, WEATHERWISE, V21, P156