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Basic concept: BEC climate Data Explorer

Basic application:

  • 1 observation per BEC variant
  • 4 windows:
    • Map
    • Scatterplot
    • Climate Variable 1 time series
    • Climate Variable 2 time series
  • Map shows:
    • BEC variant boundaries
    • Focal bec variant boundary and representative location
    • Secondary variant and representative location
    • Optional theming by 1o variable, 2o variable, 1o/2o combo, or sigma similarity
    • Scatterplot shows
    • 1971-2000 Climate normals
    • 1971-2000 detrended interannual variability
    • Climate change trajectory 1960s, 1990s, 2020s, 2050s, 2080s.
    • Ensemble mean and ensemble members
    • Optional theming by 1o variable, 2o variable, 1o/2o combo, or sigma similarity
  • Time series show:
    • Observed 1901-2012
    • Projected 1901-2100 (CanESM2-ES)
    • Projected normals for rest of ensemble
    • Moving average of 1 secondary variant
  • Functionality
    • Click on scatterpoint or map polygon to select focal BEC variant
    • Simultaneous highlighting
    • Hover over secondary selection
    • Select primary and secondary climate variable
    • Default/disable log-transformation of zero-limited variables
    • Turn climate trajectory on or off
    • Download data
    • Hover-over data identification
  • Optional
    • Text description of focal and secondary BEC variants
    • FAQs
  • Ferrari options
    • North American analog similarity
    • Could be done using subdivided Ecoregions, or raster-based
    • Scale-free focal location via ClimateBC query.

##Data structure

Data structured one-to-many on ~200 BEC variant representative locations

  • 12 Seasonal basic (Tmin, Tmax, PPT) and ~18 annual bioclimatic variables [k=30]
  • 1971-2000 Climate normals [n=1]
  • Climate normals for 1960s [1], 1990s [1], 2020s [16], 2050s [16], 2080s [16].
  • 1971-2000 detrended time series [30]
  • Observed 1901-2012 [110]
  • Projected 1901-2100 (CanESM2-ES) [200]
  • sigma similarity [200,1] [n,k]=[391,30]+200 = 11930 data points for each BEC variant. 11930*200 = 2,386,000 total data points
  • Could be reduced if necessary by eliminating the CanESM2 projection (1.2M data points)
  • Basic version with just the CanESM normals projection and no projected time series would be 0.92M data points

Spatial data for analog identification

  • BC: Biogeoclimatic Variants. [14765 polygons] 500Mb shapefile (!)
  • Also generalized to 1:20k/250k/2M, so perhaps could manage this with tiling
  • Alberta: Natural Subregions of Alberta. [422]
  • Rest of Canada: Ecodistricts [1025]
  • Alaska: level 3 Ecoregions [366]
  • Contiguous US: Level 4 ecoregions [7242]
  • Mexico: WWF Ecoregions [588]

Questions

  • where to host the tool? (personal, CFCG, MFLNRO, DataBasin)
  • is it possible to query ClimateBC via the tool for scale-free data?
  • what are the limitations on the number and complexity of polygons?
  • Can we obtain the ecoregions explorer leaflet code as a starting template?

Communications

  • Jan 8: sent an email to Tim Salkeld about getting access to the generalized BECv9 data
  • Jan 9: sent an email to Scott nielsen inquiring about the Adaptwest ecoregion explorer.

Other relevant websites

  • Climate Analog tracker. http://esd.lbl.gov/projects/climate-analog-tracker/
  • Is broken
  • Climate Analogs tool
  • Too many options, not very enjoyable to use
  • Does a climate similarity calculation live. That’s pretty cool.
  • This approach is applicable to developing a tool for the novelty analysis.

General Climate Communication links