Spreadsheet of monthly climate-anomaly timeseries (1950-2099) derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance

Description

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future droughts for south Florida based on climate model output from the Multivariate Adaptive Constructed Analogs (MACA) downscaled climate dataset from the Coupled Model Intercomparison Project Phase 5 (CMIP5). The MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Microsoft Excel workbook is provided which tabulates monthly climate-anomaly timeseries for the period January 1950 through December 2099. Anomaly timeseries are provided for precipitation, reference evapotranspiration (ETo), and balances (precipitation - ETo) averaged over regions of interest in every MACA model. The anomaly timeseries are computed as the departure from the long-term monthly means for the period 1950-2005. Climate data are derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance (rs) for four regions: (1) the entire South Florida Water Management District (SFWMD), (2) the Lower West Coast (LWC) water supply region, (3) the Lower East Coast (LEC) water supply region, and (4) the Okeechobee plus (OKEE+) water supply meta-region consisting of Lake Okeechobee (OKEE), the Lower Kissimmee (LKISS), Upper Kissimmee (UKISS), and Upper East Coast (UEC) water supply regions in the SFWMD.

Resources

Name Format Description Link
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.668ec0fcd34e537145a7863b.xml
55 Landing page for access to the data https://doi.org/10.5066/P14RO4HF

Tags

  • droughts
  • evapotranspiration
  • south-florida
  • climatologymeteorologyatmosphere
  • southern-florida
  • south-florida-water-management-district
  • precipitation-atmospheric
  • extremes
  • climate
  • florida
  • usgs-668ec0fcd34e537145a7863b
  • precipitation-extremes

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