Dai Global Palmer Drought Severity Index (PDSI)

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Description:

This dataset consists of monthly Palmer Drought Severity Index (PDSI) over global land areas on a 2.5 degree grid computed using observed monthly surface air temperature and precipitation, plus other surface meteorological forcing data for the self calibrating PDSI Penman Monteith (sc_PDSI_pm) case. The PDSI can be used as a measure of surface aridity anomalies and changes on seasonal to longer time scales. It is correlated with observed soil moisture and water storage variations over land. https://doi.org/10.5065/D6QF8R93

Metadata

Name Value Last Modified
@context
  • @context: http://schema.org
  • @type: Dataset
  • author:
    • Dai, Aiguo
  • creator:
    • Dai, Aiguo
  • dateCreated: 2020-03-29T15:05:02-07:00
  • datePublished: 2017-05-01
  • description: This dataset consists of monthly Palmer Drought Severity Index (PDSI) over global land areas on a 2.5 degree grid computed using observed monthly surface air temperature and precipitation, plus other surface meteorological forcing data for the self calibrating PDSI Penman Monteith (sc_PDSI_pm) case. The PDSI can be used as a measure of surface aridity anomalies and changes on seasonal to longer time scales. It is correlated with observed soil moisture and water storage variations over land.
  • isAccessibleForFree: true
  • keywords:
    • climate indicators
    • drought indices
    • earth science
    • ground-based observations
    • land surface/agriculture indicators
    • palmer drought severity index
  • name: Dai Global Palmer Drought Severity Index (PDSI)
  • publisher:
      • @type: Organization
      • name: Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
  • sameAs: https://doi.org/10.5065/D6QF8R93
  • url: https://doi.org/10.5065/D6QF8R93
Extracted by http://clowder.ncsa.illinois.edu/extractors/deprecatedapi on Sep 28, 2020
  • @context: http://schema.org
  • @type: Dataset
  • author:
    • Dai, Aiguo
  • creator:
    • Dai, Aiguo
  • dateCreated: 2020-03-29T15:05:02-07:00
  • datePublished: 2017-05-01
  • description: This dataset consists of monthly Palmer Drought Severity Index (PDSI) over global land areas on a 2.5 degree grid computed using observed monthly surface air temperature and precipitation, plus other surface meteorological forcing data for the self calibrating PDSI Penman Monteith (sc_PDSI_pm) case. The PDSI can be used as a measure of surface aridity anomalies and changes on seasonal to longer time scales. It is correlated with observed soil moisture and water storage variations over land.
  • isAccessibleForFree: true
  • keywords:
    • climate indicators
    • drought indices
    • earth science
    • ground-based observations
    • land surface/agriculture indicators
    • palmer drought severity index
  • name: Dai Global Palmer Drought Severity Index (PDSI)
  • publisher:
      • @type: Organization
      • name: Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
  • sameAs: https://doi.org/10.5065/D6QF8R93
  • url: https://doi.org/10.5065/D6QF8R93

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