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Probabilistic Storm Surge

Usage

gis_prob_storm_surge(key, products, datetime = NULL)

Arguments

key

Key of storm (i.e., AL012008, EP092015)

products

list of products and associated n values; psurge (0:20) or esurge (10, 20, 30, 40, 50).

datetime

Datetime in %Y%m%d%H format.

Details

Probabilistic Storm Surge Forecasts

Products

esurge

The Tropical Cyclone Storm Surge Exceedances (P-Surge 2.5) data shows the probability, in percent, of a specified storm surge, including tides, exceeding the specified height, in feet, during the forecast period indicated. The 10 percent exceedance height, for example, is the storm surge height, including tides, above ground level (AGL) such that there is a 10 percent chance of exceeding it. The product is based upon an ensemble of Sea, Lake,and Overland Surge from Hurricanes (SLOSH) model runs using the National Hurricane Center (NHC) official advisory and accounts for track, size, and intensity errors based on historical errors and astronomical tide. Valid values are 10, 20, 30, 40 or 50.

psurge

The Tropical Cyclone Storm Surge Probabilities (P-Surge 2.5) data shows the probability, in percent, of a specified storm surge occurring during the forecast period indicated. The product is based upon an ensemble of Sea, Lake, and Overland Surge from Hurricanes (SLOSH) model runs using the National Hurricane Center(NHC) official advisory and accounts for track, size, and intensity errors based on historical errors and astronomical tide. Valid values are 0:20.

Examples

if (FALSE) {
# Return the last psurge0 product for storm AL092016
gis_prob_storm_surge("AL092016", products = list("psurge" = 0))

# Return the psurge0 and esurge10 products for storm AL092016
gis_prob_storm_surge("AL092016", products = list("psurge" = 0, "esurge" = 10))

# Return all psurge0 products for Sep 2, 2016, storm AL092016
gis_prob_storm_surge("AL092016", products = list("psurge" = 0),
           datetime = "20160902")
}