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Variables Details
: (EM-857)
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EM Identity and Description
| EM-857 | |
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Document Author
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Warren Pinnacle Consulting, Inc. |
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Document Year
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2016 |
Variable General Info
Sea level rise (year 2100) ?Comment:SLAMM has traditionally been run using a set of sea level rise scenarios was taken from the Intergovernmental Panel on Climate Change (IPCC 2001). New to SLAMM 6, a user can specify any SLR by 2100 in meters. SLAMM will scale the A1B scenario to estimate time-varying Sea Level Rise that will result in the specified degree of eustatic SLR by 2100. In SLAMM 6.7, a user may also enter any time-series of SLR that would be appropriate for their project, with a base year specified and then a matrix of data (with years in one column and SLR in the second column in units of “meters above the base year”). SLR Scenarios to Run • Scenarios and Estimates– A list of IPCC sea level rise scenarios to choose from. See Technical Documentation for more detail. Each scenario that is selected may be run for min, mean, or maximum within a single run. • Fixed Rise by 2100 – A list of 3 heights of sea level reached by 2100. 1 meter of eustatic SLR, 1.5 meters, or 2 meters of eustatic SLR by 2100. These scenarios are generated by scaling up Scenario A1B-Maximum from the IPCC simulations. See Technical Documentation for more detail. • Custom “Fixed” SLR in meters by 2100. A user may specify a set of SLRs by 2100. Year-by-year changes are estimated by scaling up (or down) Scenario A1B-Maximum from the IPCC simulations. (If the user wishes to specify a unique time-series, the user may specify custom SLR curves as described below in the “Custom SLR Time Series” section.) • NYS/ESVA SLR scenarios represent sea-level-rise scenarios specific to New York State and the East Coast of Virginia applications. Please see http://warrenpinnacle.com/prof/SLAMM/TNC_ESVA/ and http://warrenpinnacle.com/prof/SLAMM/NYSERDA/ for more information about these scenarios if interested. |
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Variable ID
variable.detail.varIdHelp
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20332 |
| SLR | |
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Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Quantitative (Cardinal Only) |
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Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Cardinal |
| m |
Variable Typology
Sea level rise (year 2100) ?Comment:SLAMM has traditionally been run using a set of sea level rise scenarios was taken from the Intergovernmental Panel on Climate Change (IPCC 2001). New to SLAMM 6, a user can specify any SLR by 2100 in meters. SLAMM will scale the A1B scenario to estimate time-varying Sea Level Rise that will result in the specified degree of eustatic SLR by 2100. In SLAMM 6.7, a user may also enter any time-series of SLR that would be appropriate for their project, with a base year specified and then a matrix of data (with years in one column and SLR in the second column in units of “meters above the base year”). SLR Scenarios to Run • Scenarios and Estimates– A list of IPCC sea level rise scenarios to choose from. See Technical Documentation for more detail. Each scenario that is selected may be run for min, mean, or maximum within a single run. • Fixed Rise by 2100 – A list of 3 heights of sea level reached by 2100. 1 meter of eustatic SLR, 1.5 meters, or 2 meters of eustatic SLR by 2100. These scenarios are generated by scaling up Scenario A1B-Maximum from the IPCC simulations. See Technical Documentation for more detail. • Custom “Fixed” SLR in meters by 2100. A user may specify a set of SLRs by 2100. Year-by-year changes are estimated by scaling up (or down) Scenario A1B-Maximum from the IPCC simulations. (If the user wishes to specify a unique time-series, the user may specify custom SLR curves as described below in the “Custom SLR Time Series” section.) • NYS/ESVA SLR scenarios represent sea-level-rise scenarios specific to New York State and the East Coast of Virginia applications. Please see http://warrenpinnacle.com/prof/SLAMM/TNC_ESVA/ and http://warrenpinnacle.com/prof/SLAMM/NYSERDA/ for more information about these scenarios if interested. |
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Predictor-Intermediate-Response
variable.detail.displayVariableTypeHelp
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Predictor |
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Predictor Variable Type
variable.detail.displayPredictorVariableTypeHelp
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Constant or Parameter |
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Response Variable Type
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Not applicable |
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Data Source/Type
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Not applicable |
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Variable Classification Hierarchy
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5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
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--Physical/chemical characteristics of nonliving ecosystem components |
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----Physical/chemical characteristics of water |
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------Water volume or flow in coastal aquatic systems |
Variable Spatial Characteristics
Sea level rise (year 2100) ?Comment:SLAMM has traditionally been run using a set of sea level rise scenarios was taken from the Intergovernmental Panel on Climate Change (IPCC 2001). New to SLAMM 6, a user can specify any SLR by 2100 in meters. SLAMM will scale the A1B scenario to estimate time-varying Sea Level Rise that will result in the specified degree of eustatic SLR by 2100. In SLAMM 6.7, a user may also enter any time-series of SLR that would be appropriate for their project, with a base year specified and then a matrix of data (with years in one column and SLR in the second column in units of “meters above the base year”). SLR Scenarios to Run • Scenarios and Estimates– A list of IPCC sea level rise scenarios to choose from. See Technical Documentation for more detail. Each scenario that is selected may be run for min, mean, or maximum within a single run. • Fixed Rise by 2100 – A list of 3 heights of sea level reached by 2100. 1 meter of eustatic SLR, 1.5 meters, or 2 meters of eustatic SLR by 2100. These scenarios are generated by scaling up Scenario A1B-Maximum from the IPCC simulations. See Technical Documentation for more detail. • Custom “Fixed” SLR in meters by 2100. A user may specify a set of SLRs by 2100. Year-by-year changes are estimated by scaling up (or down) Scenario A1B-Maximum from the IPCC simulations. (If the user wishes to specify a unique time-series, the user may specify custom SLR curves as described below in the “Custom SLR Time Series” section.) • NYS/ESVA SLR scenarios represent sea-level-rise scenarios specific to New York State and the East Coast of Virginia applications. Please see http://warrenpinnacle.com/prof/SLAMM/TNC_ESVA/ and http://warrenpinnacle.com/prof/SLAMM/NYSERDA/ for more information about these scenarios if interested. |
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Spatial Extent Area
variable.detail.spExtentHelp
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Not recorded for Constant or Parameter Variables |
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Spatially Distributed?
variable.detail.spDistributedHelp
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Not recorded for Constant or Parameter Variables |
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Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Not recorded for Constant or Parameter Variables |
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Spatial Grain Type
variable.detail.spGrainTypeHelp
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Not recorded for Constant or Paarameter Variables |
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Spatial Grain Size
variable.detail.spGrainSizeHelp
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Not recorded for Constant or Parameter Variables |
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Spatial Density
variable.detail.spDensityHelp
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Not recorded for Constant or Parameter Variables |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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National Hydrography Dataset Plus (NHD PlusV2) |
Variable Temporal Characteristics
Sea level rise (year 2100) ?Comment:SLAMM has traditionally been run using a set of sea level rise scenarios was taken from the Intergovernmental Panel on Climate Change (IPCC 2001). New to SLAMM 6, a user can specify any SLR by 2100 in meters. SLAMM will scale the A1B scenario to estimate time-varying Sea Level Rise that will result in the specified degree of eustatic SLR by 2100. In SLAMM 6.7, a user may also enter any time-series of SLR that would be appropriate for their project, with a base year specified and then a matrix of data (with years in one column and SLR in the second column in units of “meters above the base year”). SLR Scenarios to Run • Scenarios and Estimates– A list of IPCC sea level rise scenarios to choose from. See Technical Documentation for more detail. Each scenario that is selected may be run for min, mean, or maximum within a single run. • Fixed Rise by 2100 – A list of 3 heights of sea level reached by 2100. 1 meter of eustatic SLR, 1.5 meters, or 2 meters of eustatic SLR by 2100. These scenarios are generated by scaling up Scenario A1B-Maximum from the IPCC simulations. See Technical Documentation for more detail. • Custom “Fixed” SLR in meters by 2100. A user may specify a set of SLRs by 2100. Year-by-year changes are estimated by scaling up (or down) Scenario A1B-Maximum from the IPCC simulations. (If the user wishes to specify a unique time-series, the user may specify custom SLR curves as described below in the “Custom SLR Time Series” section.) • NYS/ESVA SLR scenarios represent sea-level-rise scenarios specific to New York State and the East Coast of Virginia applications. Please see http://warrenpinnacle.com/prof/SLAMM/TNC_ESVA/ and http://warrenpinnacle.com/prof/SLAMM/NYSERDA/ for more information about these scenarios if interested. |
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Temporal Extent
variable.detail.tempExtentHelp
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Not recorded for Constant or Parameter Variables |
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Temporally Distributed?
variable.detail.tempDistributedHelp
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Not recorded for Constant or Parameter Variables |
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Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Not recorded for Constant or Parameter Variables |
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Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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Not recorded for Constant or Parameter Variables |
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Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
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Not recorded for Constant or Parameter Variables |
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Temporal Density
variable.detail.tempDensityHelp
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Not recorded for Constant or Parameter Variables |
Variable Values
Sea level rise (year 2100) ?Comment:SLAMM has traditionally been run using a set of sea level rise scenarios was taken from the Intergovernmental Panel on Climate Change (IPCC 2001). New to SLAMM 6, a user can specify any SLR by 2100 in meters. SLAMM will scale the A1B scenario to estimate time-varying Sea Level Rise that will result in the specified degree of eustatic SLR by 2100. In SLAMM 6.7, a user may also enter any time-series of SLR that would be appropriate for their project, with a base year specified and then a matrix of data (with years in one column and SLR in the second column in units of “meters above the base year”). SLR Scenarios to Run • Scenarios and Estimates– A list of IPCC sea level rise scenarios to choose from. See Technical Documentation for more detail. Each scenario that is selected may be run for min, mean, or maximum within a single run. • Fixed Rise by 2100 – A list of 3 heights of sea level reached by 2100. 1 meter of eustatic SLR, 1.5 meters, or 2 meters of eustatic SLR by 2100. These scenarios are generated by scaling up Scenario A1B-Maximum from the IPCC simulations. See Technical Documentation for more detail. • Custom “Fixed” SLR in meters by 2100. A user may specify a set of SLRs by 2100. Year-by-year changes are estimated by scaling up (or down) Scenario A1B-Maximum from the IPCC simulations. (If the user wishes to specify a unique time-series, the user may specify custom SLR curves as described below in the “Custom SLR Time Series” section.) • NYS/ESVA SLR scenarios represent sea-level-rise scenarios specific to New York State and the East Coast of Virginia applications. Please see http://warrenpinnacle.com/prof/SLAMM/TNC_ESVA/ and http://warrenpinnacle.com/prof/SLAMM/NYSERDA/ for more information about these scenarios if interested. |
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| Not applicable | |
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Min Value
variable.detail.minEstHelp
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Not applicable |
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Max Value
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Not applicable |
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Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable |
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Other Value
variable.detail.otherEstHelp
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Not applicable |
Variable Variability and Sensitivity
Sea level rise (year 2100) ?Comment:SLAMM has traditionally been run using a set of sea level rise scenarios was taken from the Intergovernmental Panel on Climate Change (IPCC 2001). New to SLAMM 6, a user can specify any SLR by 2100 in meters. SLAMM will scale the A1B scenario to estimate time-varying Sea Level Rise that will result in the specified degree of eustatic SLR by 2100. In SLAMM 6.7, a user may also enter any time-series of SLR that would be appropriate for their project, with a base year specified and then a matrix of data (with years in one column and SLR in the second column in units of “meters above the base year”). SLR Scenarios to Run • Scenarios and Estimates– A list of IPCC sea level rise scenarios to choose from. See Technical Documentation for more detail. Each scenario that is selected may be run for min, mean, or maximum within a single run. • Fixed Rise by 2100 – A list of 3 heights of sea level reached by 2100. 1 meter of eustatic SLR, 1.5 meters, or 2 meters of eustatic SLR by 2100. These scenarios are generated by scaling up Scenario A1B-Maximum from the IPCC simulations. See Technical Documentation for more detail. • Custom “Fixed” SLR in meters by 2100. A user may specify a set of SLRs by 2100. Year-by-year changes are estimated by scaling up (or down) Scenario A1B-Maximum from the IPCC simulations. (If the user wishes to specify a unique time-series, the user may specify custom SLR curves as described below in the “Custom SLR Time Series” section.) • NYS/ESVA SLR scenarios represent sea-level-rise scenarios specific to New York State and the East Coast of Virginia applications. Please see http://warrenpinnacle.com/prof/SLAMM/TNC_ESVA/ and http://warrenpinnacle.com/prof/SLAMM/NYSERDA/ for more information about these scenarios if interested. |
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Variability Expression Given?
variable.detail.variabilityExpHelp
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Not recorded for Constant or Parameter Variables |
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Variability Metric
variable.detail.variabilityMetricHelp
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None |
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Variability Value
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None |
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Variability Units
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None |
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Resampling Used?
variable.detail.bootstrappingHelp
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Not recorded for Constant or Parameter Variables |
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Variability Expression Used in Modeling?
variable.detail.variabilityUsedHelp
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Not recorded for Constant or Parameter Variables |
Variable Operational Validation (Response Variables only)
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Variable ID
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Validated?
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Validation Approach (within, between, etc.)
variable.detail.validationApproachHelp
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Validation Quality (Qual/Quant)
variable.detail.validationQualityHelp
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Validation Method (Stat/Deviance)
variable.detail.validationMethodHelp
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Validation Metric
variable.detail.validationMetricHelp
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Validation Value
variable.detail.validationValHelp
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Validation Units
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Use of Measured Response Data
variable.detail.measuredResponseDataHelp
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