Incorporating the Costs and Benefits of Adaptation Measures in Preparation for Extreme Weather Events and Climate Change—Guidebook (2020) / Chapter Skim
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Pages 113-124
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From page 113... ...
113 Contributors to Non-Stationarity Climate science is still evolving, which makes planning for and incorporating climate change into adaptation projects difficult for planners and designers. One of the challenges in predicting future conditions is non-stationarity; the past can no longer be used as a basis for predicting the future.
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114 Incorporating the Costs and Benefits of Adaptation Measures in Preparation for Extreme Weather Events and Climate Change -- Guidebook urban development in the Northeast and Southwest, as well as to logging practices in the Southeast and Northwest. Options for mitigating against the detrimental effects of land use and cover on climate include an expansion in the size and diversity of forests; modifications to urban development to reduce energy, transportation, and water demands (e.g., rainwater capture and reuse)
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Climate Information, Design Guidelines, and Data Sources 115 underlying assumption that the statistical relationships developed for the present day will hold into the future under the various possible forcing conditions. Data availability and quality are also key.
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116 Incorporating the Costs and Benefits of Adaptation Measures in Preparation for Extreme Weather Events and Climate Change -- Guidebook Additional Considerations Intensity, Duration, and Frequency When analyzing changes in precipitation patterns as part of the planning, design, and operation of a particular water resources project, the relationship between rainfall intensity, duration, and frequency, referred to as IDF curves, is important. IDF curves are a common tool used by engineers to determine the amount of rain expected to fall within a given amount of time for a desired annual exceedance probability or its reciprocal, the return period.
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Climate Information, Design Guidelines, and Data Sources 117 Resource Title Author/Organization Links Potential Impacts of Climate Change on U.S. Transportation (2008)
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118 Incorporating the Costs and Benefits of Adaptation Measures in Preparation for Extreme Weather Events and Climate Change -- Guidebook result in gradual changes in the mean of many of the variables described in the previous section. Levels at which an event is classified as extreme will also shift.
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Climate Information, Design Guidelines, and Data Sources 119 Type Source Data Data Publishing Date Geographic Coverage Local Sea Level Rise U.S. Army Corps of Engineers Sea Level Rise Change Curve Calculator • Linear extrapolation of historical data (low)
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120 Incorporating the Costs and Benefits of Adaptation Measures in Preparation for Extreme Weather Events and Climate Change -- Guidebook No. Agency/ Author Publication/ Software Date Expiration Summary 1 U.S.
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Climate Information, Design Guidelines, and Data Sources 121 No. Agency/ Author Publication/ Software Date Expiration Summary 5 EPA Storm Water Management Model Climate Adjustment Tool (SWMM-CAT)
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122 Incorporating the Costs and Benefits of Adaptation Measures in Preparation for Extreme Weather Events and Climate Change -- Guidebook No. Agency/ Author Publication/ Software Date Expiration Summary 9 USGS, NY Future Flow Explorer, Version 1.5 2015 N/A The rural regression equations published by USGS assume climate stationarity; these equations are widely used for water resources computations.
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Climate Information, Design Guidelines, and Data Sources 123 Data Type Source URL Coastal levels (observed) NOAA Tides and Currents https://tidesandcurrents.noaa.gov/products.html Drought indices (satellite)
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124 Incorporating the Costs and Benefits of Adaptation Measures in Preparation for Extreme Weather Events and Climate Change -- Guidebook Data Type Source URL Temperature (observed) NOAA NCEI https://www.ncdc.noaa.gov/cdo-web/datasets Temperature (observed)
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