CAClimateIndicatorsCountyMedian: Climate Change Indicators of Californian Counties
In cordillera: Calculation of the OPTICS Cordillera
CAClimateIndicatorsCountyMedian R Documentation
Climate Change Indicators of Californian Counties
Description
A dataset containing observed and projected indicators of climate change related natural hazards for 58 Californian counties. The values are actually the medians of the predicted distribution over spatial measurement points. It is a compiled data set from three sources and that has been aggregated to the county level. The projected data were derived under two different IPCC climate change scenarios (A2, the high emission scenario and B1, the moderate emission scenario). It further contains the county value of the California social vulnerability index.
Format
A data frame with 58 rows and 52 variables
- county
The county name identifier.
- vuln_CA
The vulnerability index of Cooley et al. (2012).
- degFB1
County average 95th percentile daily maximum temperature in Fahrenheit from May 1 to September 30 over the historical period (1971-2000) under the climate scenario B1. These are averaged values for 4 different climate models. The source was Table 7 of Cooley et al. (2012).
- heatB1_71_00
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 1971-2000. Projections are based on the B1 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatB1_10_39
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2010-2039. Projections are based on the B1 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatB1_40_69
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2040-2069. Projections are based on the B1 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatB1_70_99
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2070-2099. Projections are based on the B1 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- degFA2
County average 95th percentile daily maximum temperature in Fahrenheit from May 1 to September 30 over the historical period (1971-2000) under the climate scenario A2. These are averaged values for 4 different climate models. The source was Table 7 of Cooley et al. (2012).
- heatA2_71_00
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 1971-2000. Projections are based on the A2 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatA2_10_39
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2010-2039. Projections are based on the A2 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatA2_40_69
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2040-2069. Projections are based on the A2 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatA2_70_99
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2070-2099. Projections are based on the A2 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- flood_2000
The percentage of a county's census block area vulnerable to unimpeded coastal flooding under baseline conditions (2000). The raw data were obtained from Heberger et al. (2009). From the census block areas we computed an area-weighted percentage for each county.
- flood_2100
The projected percentage of a county's census block area vulnerable to unimpeded coastal flooding with a 1.4-meter (55-inch) sea-level rise (projected for 2100). The raw data were obtained from Heberger et al (2009). From the census block areas we computed an area-weighted percentage for each county.
- basfA2_2000
The median aggregated CCSM3 observed or projected annual baseflow for year 2000 under scenario A2 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfA2_2039
The median aggregated CCSM3 observed or projected annual baseflow for year 2039 under scenario A2 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfA2_2069
The median aggregated CCSM3 observed or projected annual baseflow for year 2069 under scenario A2 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfA2_2099
The median aggregated CCSM3 observed or projected annual baseflow for year 2099 under scenario A2 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfB1_2000
The median aggregated CCSM3 observed or projected annual baseflow for year 2000 under scenario B1 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfB1_2039
The median aggregated CCSM3 observed or projected annual baseflow for year 2039 under scenario B1 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfB1_2069
The median aggregated CCSM3 observed or projected annual baseflow for year 2069 under scenario B1 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfB1_2099
The median aggregated CCSM3 observed or projected annual baseflow for year 2099 under scenario B1 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- evapA2_2000
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2000 under scenarios A2 by county. The source of the raw data was California Energy Commission (2008).
- evapA2_2039
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2039 under scenarios A2 by county. The source of the raw data was California Energy Commission (2008).
- evapA2_2069
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2069 under scenarios A2 by county. The source of the raw data was California Energy Commission (2008).
- evapA2_2099
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2099 under scenarios A2 by county. The source of the raw data was California Energy Commission (2008).
- evapB1_2000
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2000 under scenarios B1 by county. The source of the raw data was California Energy Commission (2008).
- evapB1_2039
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2039 under scenarios B1 by county. The source of the raw data was California Energy Commission (2008).
- evapB1_2069
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2069 under scenarios B1 by county. The source of the raw data was California Energy Commission (2008).
- evapB1_2099
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2099 under scenarios B1 by county. The source of the raw data was California Energy Commission (2008).
- prcpA2_2000
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- prcpA2_2039
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- prcpA2_2069
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- prcpA2_2099
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- prcpB1_2000
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- prcpB1_2039
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- prcpB1_2069
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- prcpB1_2099
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- smclA2_2000
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- smclA2_2039
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2039 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- smclA2_2069
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2069 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- smclA2_2099
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2099 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- smclB1_2000
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- smclB1_2039
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2039 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- smclB1_2069
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2069 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- smclB1_2099
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2099 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- fireA2_2020
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2020 under scenarios A2. The source of the raw data was California Energy Commission (2008).
- fireA2_2050
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2050 under scenarios A2. The source of the raw data was California Energy Commission (2008).
- fireA2_2085
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2085 under scenarios A2. The source of the raw data was California Energy Commission (2008).
- fireB1_2020
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2020 under scenarios B1. The source of the raw data was California Energy Commission (2008).
- fireB1_2050
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2050 under scenarios B1. The source of the raw data was California Energy Commission (2008).
- fireB1_2085
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2085 under scenarios B1. The source of the raw data was California Energy Commission (2008).
Details
Overall there are 50 indicators of natural hazard, one indicator of social vulnerability and 1 identifier of the county which were:
Source
Cooley, H., Moore, E., Heberger, M. and Allen, L. (2012) Social Vulnerability to Climate Change. California Energy Commission. Publication Number: CEC-500-2012-013 https://pacinst.org/wp-content/uploads/sites/21/2014/04/social-vulnerability-climate-change-ca.pdf and Heberger, M., Cooley, C., Herrera, P., Gleick, P. and Moore, E. (2009) The impacts of sea-level rise on the Californian coast. California Energy Commission. Publication Number: CEC-500-2009-024-F https://pacinst.org/publication/the-impacts-of-sea-level-rise-on-the-california-coast/ (https://pacinst.org/reports/sea_level_rise_data/Blk_fld.zip for raw data) and California Energy Comission (2008) https://cal-adapt.org/data/download/
cordillera documentation built on Jan. 17, 2023, 5:16 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| CAClimateIndicatorsCountyMedian | R Documentation |
Climate Change Indicators of Californian Counties
Description
A dataset containing observed and projected indicators of climate change related natural hazards for 58 Californian counties. The values are actually the medians of the predicted distribution over spatial measurement points. It is a compiled data set from three sources and that has been aggregated to the county level. The projected data were derived under two different IPCC climate change scenarios (A2, the high emission scenario and B1, the moderate emission scenario). It further contains the county value of the California social vulnerability index.
Format
A data frame with 58 rows and 52 variables
- county
The county name identifier.
- vuln_CA
The vulnerability index of Cooley et al. (2012).
- degFB1
County average 95th percentile daily maximum temperature in Fahrenheit from May 1 to September 30 over the historical period (1971-2000) under the climate scenario B1. These are averaged values for 4 different climate models. The source was Table 7 of Cooley et al. (2012).
- heatB1_71_00
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 1971-2000. Projections are based on the B1 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatB1_10_39
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2010-2039. Projections are based on the B1 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatB1_40_69
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2040-2069. Projections are based on the B1 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatB1_70_99
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2070-2099. Projections are based on the B1 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- degFA2
County average 95th percentile daily maximum temperature in Fahrenheit from May 1 to September 30 over the historical period (1971-2000) under the climate scenario A2. These are averaged values for 4 different climate models. The source was Table 7 of Cooley et al. (2012).
- heatA2_71_00
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 1971-2000. Projections are based on the A2 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatA2_10_39
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2010-2039. Projections are based on the A2 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatA2_40_69
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2040-2069. Projections are based on the A2 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- heatA2_70_99
Projected average number of days where the daily maximum temperature exceeds the high-heat threshold (see above) over period 2070-2099. Projections are based on the A2 scenario and are averaged for four downscaled climate models. The source was Table 7 of Cooley et al. (2012).
- flood_2000
The percentage of a county's census block area vulnerable to unimpeded coastal flooding under baseline conditions (2000). The raw data were obtained from Heberger et al. (2009). From the census block areas we computed an area-weighted percentage for each county.
- flood_2100
The projected percentage of a county's census block area vulnerable to unimpeded coastal flooding with a 1.4-meter (55-inch) sea-level rise (projected for 2100). The raw data were obtained from Heberger et al (2009). From the census block areas we computed an area-weighted percentage for each county.
- basfA2_2000
The median aggregated CCSM3 observed or projected annual baseflow for year 2000 under scenario A2 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfA2_2039
The median aggregated CCSM3 observed or projected annual baseflow for year 2039 under scenario A2 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfA2_2069
The median aggregated CCSM3 observed or projected annual baseflow for year 2069 under scenario A2 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfA2_2099
The median aggregated CCSM3 observed or projected annual baseflow for year 2099 under scenario A2 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfB1_2000
The median aggregated CCSM3 observed or projected annual baseflow for year 2000 under scenario B1 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfB1_2039
The median aggregated CCSM3 observed or projected annual baseflow for year 2039 under scenario B1 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfB1_2069
The median aggregated CCSM3 observed or projected annual baseflow for year 2069 under scenario B1 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- basfB1_2099
The median aggregated CCSM3 observed or projected annual baseflow for year 2099 under scenario B1 by county (past years are observed, future years are projected). The source of the raw data was California Energy Commission (2008).
- evapA2_2000
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2000 under scenarios A2 by county. The source of the raw data was California Energy Commission (2008).
- evapA2_2039
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2039 under scenarios A2 by county. The source of the raw data was California Energy Commission (2008).
- evapA2_2069
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2069 under scenarios A2 by county. The source of the raw data was California Energy Commission (2008).
- evapA2_2099
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2099 under scenarios A2 by county. The source of the raw data was California Energy Commission (2008).
- evapB1_2000
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2000 under scenarios B1 by county. The source of the raw data was California Energy Commission (2008).
- evapB1_2039
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2039 under scenarios B1 by county. The source of the raw data was California Energy Commission (2008).
- evapB1_2069
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2069 under scenarios B1 by county. The source of the raw data was California Energy Commission (2008).
- evapB1_2099
The median aggregated Community Climate System Model v.3 (CCSM3) projected annual actual evapotranspiration for year 2099 under scenarios B1 by county. The source of the raw data was California Energy Commission (2008).
- prcpA2_2000
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- prcpA2_2039
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- prcpA2_2069
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- prcpA2_2099
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- prcpB1_2000
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- prcpB1_2039
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- prcpB1_2069
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- prcpB1_2099
The median aggregated CCSM3 projected annual precipitation for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- smclA2_2000
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2000 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- smclA2_2039
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2039 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- smclA2_2069
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2069 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- smclA2_2099
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2099 under scenario A2 by county. The source of the raw data was California Energy Commission (2008).
- smclB1_2000
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2000 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- smclB1_2039
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2039 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- smclB1_2069
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2069 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- smclB1_2099
The median aggregated CCSM3 projected annual fractional moisture in the entire soil column for year 2099 under scenario B1 by county. The source of the raw data was California Energy Commission (2008).
- fireA2_2020
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2020 under scenarios A2. The source of the raw data was California Energy Commission (2008).
- fireA2_2050
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2050 under scenarios A2. The source of the raw data was California Energy Commission (2008).
- fireA2_2085
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2085 under scenarios A2. The source of the raw data was California Energy Commission (2008).
- fireB1_2020
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2020 under scenarios B1. The source of the raw data was California Energy Commission (2008).
- fireB1_2050
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2050 under scenarios B1. The source of the raw data was California Energy Commission (2008).
- fireB1_2085
The median aggregated Centre National de Recherches Meteorologiques (CNRM) projected annual wildfire risk (observing 1 or more fires in the next 30 years) for each county in year 2085 under scenarios B1. The source of the raw data was California Energy Commission (2008).
Details
Overall there are 50 indicators of natural hazard, one indicator of social vulnerability and 1 identifier of the county which were:
Source
Cooley, H., Moore, E., Heberger, M. and Allen, L. (2012) Social Vulnerability to Climate Change. California Energy Commission. Publication Number: CEC-500-2012-013 https://pacinst.org/wp-content/uploads/sites/21/2014/04/social-vulnerability-climate-change-ca.pdf and Heberger, M., Cooley, C., Herrera, P., Gleick, P. and Moore, E. (2009) The impacts of sea-level rise on the Californian coast. California Energy Commission. Publication Number: CEC-500-2009-024-F https://pacinst.org/publication/the-impacts-of-sea-level-rise-on-the-california-coast/ (https://pacinst.org/reports/sea_level_rise_data/Blk_fld.zip for raw data) and California Energy Comission (2008) https://cal-adapt.org/data/download/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.