Projected Monthly Vapor Pressure AR5 RCP 8.5

This set of files includes downscaled future projections of vapor pressure (units=hPa) at a 1km spatial scale.

This data has been prepared as model input for the Integrated Ecosystem Model (IEM). The data constitute the result of a downscaling procedure using 2 General Circulation Models (GCM) from the Coupled Model Intercomparison Project 5 (CMIP5) for RCP 8.5 scenario (2006-2100) monthly time series and Climatic Research Unit (CRU) TS2.0 (1961-1990,10 min spatial resolution) global climatology data.

RCPs: 8.5

Centers, Model Names, Versions, and Acronyms:

National Center for Atmospheric Research,Community Earth System Model 4,NCAR-CCSM4
Meteorological Research Institute,Coupled General Circulation Model v3.0,MRI-CGCM3

Methods of creating downscaled relative humidity data:

  1. The GCM input data are distributed as relative humidity along with the CRU CL 2.0, therefore no conversion procedure was necessary before beginning the downscaling procedure.

  2. Proportional Anomalies generated using the 20c3m Historical relative humidity data 1961-1990 climatology and the projected relative humidity data (2006-2100).

  3. These proportional anomalies are interpolated using a spline interpolation to a 10min resolution grid for downscaling with the CRU CL 2.0 Relative Humidity Data.

  4. The GCM proportional anomalies are multiplied by month to the baseline CRU CL 2.0 10min relative humidity climatology for the period 1961-1990. Creating a downscaled relative humidity projected time series 2006-2100.

  5. Due to the conversion procedure and the low quality of the input data to begin with, there were values that fell well outside of the range of acceptable relative humidity (meaning that there were values >100 percent), these values were re-set to a relative humidity of 95 at the suggestion of the researchers involved in the project. It is well known that the CRU data is spotty for Alaska and the Circumpolar North, due to a lack of weather stations and poor temporal coverage for those stations that exist.

  6. The desired output resolution for the AIEM modeling project is 1km, so the newly created downscaled time series is resampled to this resolution using a standard bilinear interpolation resampling procedure.

  7. The final step was to convert the downscaled relative humidity data to vapor pressure using the calculation below, which uses a downscaled temperature data set created utilizing the same downscaling procedure.

        EQUATION:
        saturated vapor pressure = 6.112 x exp(17.62 x temperature/(243.12+temperature))
        vapor pressure = (relative humidity x saturated vapor pressure)/100
    

Data and Resources

Additional Info

Spatial resolution

1000 meters

Temporal extent

Start date: January 2006

End date: December 2100

Credits

The following people worked on producing this data set:

  • Michael Lindgren
  • Stephanie McAfee
  • Tom Kurkowski
  • This research is funded by the Arctic Landscape Conservation Cooperative, Western Alaska Landscape Conservation Cooperative, and Northwest Boreal Landscape Conservation Cooperative (LCCs) and the Alaska Climate Science Center.
Field Value
Source http://data.snap.uaf.edu/data/IEM/Inputs/projected/CMIP5_top_5_models_allRCPs/vapor_pressure/
Maintainer Tom Kurkowski
Version 1.0.0
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credits ["Michael Lindgren", "Stephanie McAfee", "Tom Kurkowski", "This research is funded by the Arctic Landscape Conservation Cooperative, Western Alaska Landscape Conservation Cooperative, and Northwest Boreal Landscape Conservation Cooperative (LCCs) and the Alaska Climate Science Center."]
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metadata-date 2016-12-20T15:21:53
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temporal-extent-begin 2006-01-15T00:00:00
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