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3 results for “coastal damages”
Probabilistic state-level estimates of US coastal storm property damages from climate change
<p>Probabilistic estimates of property damage (2010 USD) by damage mechanism, sea level measure, region, and time period. Values are derived from <em>Estimates of US coastal damages by local sea level </em>(doi: https://doi.org/10.5281/zenodo.820149) using the code at https://github.com/ClimateImpactLab/acp-impacts</p> <p>Direct (surge + wind) and business-interruption storm damage estimates as well as estimated property below sea level are projected by estimating damages as a function of local sea level (LSL). These damage functions are then applied to probabilistic estimates of local sea level from Kopp et al (2014) using a Monte Carlo simulation. Percentiles of the resulting distributions are presented in the included files. Estimates of property below sea level are calculated for both mean sea level (MSL) as well as mean higher high water (MHHW).</p> <p>In each period, estimates of the cumulative value of inundated property, or property below sea level, are removed from the exposure data set when computing future storm damages; therefore, projections of future storm damages differ between the two measures of sea level.</p>
Estimates of US coastal damages by local sea level
<p>Estimates of coastal property damage and business interruption from storms and estimates of property below sea level by region and exposure category. Regions are groups of US counties designated by state and <em>coastalflag</em>, which indicates whether a region includes counties sharing a US coastline (coastalflag=1) or only inland counties (coastalflag=0). Estimates are produced using the RMS Model.</p> <p>These values are used as inputs by <em>Probabilistic state-level estimates of US coastal storm property damages from climate change</em> (doi: https://dx.doi.org/10.5281/zenodo.820086) using the code at https://github.com/ClimateImpactLab/acp-impacts</p> <p>Hurricane damage estimates include estimates using historical hurricane activity as well as estimates including projected changes in hurricane frequency and intensity under RCP 4.5 and 8.5.</p>
Open Ocean and Coastal Strains of Marine Synechococcus display distinctly different Global Responses to DNA Damaging Agents
GEO Series GSE39818. Synechococcus sp. CC9311; Parasynechococcus marenigrum WH 8102. 24 samples. Type: Expression profiling by array.
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