DOI: 10.7280/d1s96t
title: Flood Resilient Infrastructure and Sustainable Environments (FloodRISE) data

description: Existing needs to manage flood risk in the U.S. are underserved by
 available flood hazard information. This contributes to an alarming
 escalation of flood impacts that amount to hundreds of billions of dollars
 per year and countless disrupted lives and affected communities. Making
 information about flood hazards useful for the range of decisions by
 actors that dictate the consequences of flooding poses many challenges.
 This dataset contains a collection of flood hazard mapping layers for two
 sites in Southern California: Newport Bay and the Tijuana River
 Estuary. The flood hazard data layers were created using
 a Collaborative Flood Modeling (CFM) approach, whereby
 researchers and end-users at the two coastal sites co-developed
 fine-resolution flood hazard models and maps responsive to decision-making
 needs.
description: <strong>Newport Beach: Historical Event Flood Depth
 (2005)</strong> This map layer contains the
 resulting flood depth (US feet) from the extreme high tide event
 that occurred on January 10th 2005.  <pre>
 NB_Historical_Flood_2005.tif </pre>  
 <strong>Newport Beach: 1% Annual Chance Flood Depth (2015,
 2035, 2050)</strong> These map layers contain
 maximum flood depths (US feet) produced by 1% AEP
 events occurring under 2015 sea level conditions. Flood
 drivers considered are tide, streamflow, wave overtopping, and rainfall.
 The displayed flood depths are not the result of one event, but the
 combination of flood depths produced by each flood driver as occurring
 independently and modeled separately. <pre>
 NB_1pct_Chance_Flood_Depth_2015.tif NB_1pct_Chance_Flood_Depth_2035.tif
 NB_1pct_Chance_Flood_Depth_2050.tif</pre>  
 <b><strong>Newport Beach: Chance of Flooding (2015,
 2035, 2015)</strong></b> These map layers
 contain annual chance of flooding over ankle depth under 2015, 2035, and
 2050 sea level conditions, and the chance of flooding over 10 years from
 2015, 2035, and 2050. Flood causes considered are tide, streamflow, wave
 overtopping, and rainfall. The displayed probabilities of flooding are not
 the result of one event, but the combination of probabilities from events
 from different flood causes, with different chance, occurring
 independently, and modeled separately. <pre>
 NB_Chance_of_Flooding_2015.tif NB_Chance_of_Flooding_2035.tif
 NB_Chance_of_Flooding_2050.tif</pre>
 <b> </b>
 <b><strong>Newport Beach: Chance of Road Blockage
 (2015, 2035, 2015)</strong></b> These map
 layers contain probability of road blockage to sedans under 2015. 2035,
 and 2050 sea level conditions. A 1 ft fording depth is used as a cutoff to
 mark flooding unsafe for sedans. Flood drivers considered are tide,
 streamflow, wave overtopping, and rainfall. The probabilities of flooding
 are not the result of one event, but the combination of probabilities from
 events from different flood drivers, with different exceedance
 probabilities, occurring independently, and modeled separately.
 <pre> NB_Chance_Road_Blockage_2015.tif
 NB_Chance_Road_Blockage_2035.tif
 NB_Chance_Road_Blockage_2050.tif</pre>
 <b> </b>
 <b><strong>Newport Beach: "King Tide with
 Rainfall” Flood Depth (1/2”, 1”)</strong></b>
 These map layers contain the resulting flood depth from two
 rainfall events (approximatley 0.5" and 1") coinciding with a
 King Tide during 2015 climate and sea level conditions. The probability of
 a 0.5" rainfall event to coincide with the King Tide is on average
 once every 278 years, or 0.36% annually, while the probability of a
 1" rainfall event to coincide with the King Tide is on average once
 every 1391 years, or 0.072% annually. <pre>
 NB_King_Tide_with_0p5in_Rainfall_Flood_Depth.tif
 NB_King_Tide_with_1in_Rainfall_Flood_Depth.tif</pre>
 <b><strong> </strong></b>
 <b><strong>Newport Beach: Hours of Inundation Per Day
 (2015, 2035, 2015)</strong></b> These map
 layers contain duration of flooding in hours for current conditions (2010,
 2015) and future conditions (2035, 2050) for two scenarios: 1) in the
 event of a 1% annual chance tide, and 2) under average daily duration of
 inundation in the Newport Upper Bay based on 2010 sea level observations
 and projected 2035 and 2050 sea level rise conditions.
 <pre> NB_1pct_Tide_Flood_Duration_2015.tif
 NB_1pct_Tide_Flood_Duration_2035.tif NB_1pct_Tide_Flood_Duration_2050.tif
 NB_2010_Upper_Bay_Average_Inundation_Duration.tif
 NB_2035_Upper_Bay_Average_Inundation_Duration.tif
 NB_2050_Upper_Bay_Average_Inundation_Duration.tif</pre>
 <b><strong> </strong></b>
 <b><strong>Newport Beach: Causes of Flooding
 (2015/2035/2050)</strong></b> These map
 layers contain the primary cause of flooding producing the deepest flood
 depth locally in the case of a 1% annual chance event occurring under
 2015, 2035, and 20150 sea level conditions. The displayed flood extent is
 not the result of one event, but the combination of flood extents produced
 by each flood cause as occurring independently and modeled
 separately. <pre> NB_Causes_of_Flooding_2015.tif
 NB_Causes_of_Flooding_2035.tif NB_Causes_of_Flooding_2050.tif</pre>
 <b><strong> </strong></b>
 <b><strong>Newport Beach: 1% Annual Chance Flood
 Depth with Proposed Flood Wall and Flood Wall
 Failure</strong></b> These map layers
 contain the resulting flood depth (US feet) from a 9.1 ft NAVD88 tide
 after seawalls surrounding the Balboa Isles have been capped to 9.5 ft
 NAVD88. Based on the California Coastal Commission intermediate sea level
 rise projections of 2015 (IPCC scenario A1B), a 9.1 ft NAVD88 tide has a
 1% chance of occurrence in the year 2050. In other words, it represents
 the 100 year return period tide for the year 2050. We also show the
 flooding resulting from a localized failure of the capped wall on Balboa
 Island during a 7.5 ft tide. <pre>
 NB_1pct_Flood_Raised_Seawall.tif
 NB_7p5_Tide_Raised_Seawall_Failure.tif</pre>
 <b><strong> </strong></b>
 <strong>Tijuana River Valley: Flood Depth (1983, 1% AEP,
 20% AEP)</strong> These map layers contain
 maximum flood depths (meters) produced by three scenarios: 1) a historical
 1983 flood, 2) a 1% AEP event occurring under 2015 sea level conditions,
 and 3) a 20% AEP event occurring under 2015 sea level conditions. Flood
 drivers considered are streamflow from the Tijuana River and it's
 canyon tributaries in the Tijuana River Estuary (Smuggler's Gulch and
 Goat Canyon), as well as stormtide conditions.The displayed flood depths
 are not the result of one event, but the combination of flood depths
 produced by each flood driver as occurring independently and modeled
 separately. <pre> TRV_1983_Flood_Depth.tif
 TRV_1pct_Chance_Flood_Depth_2015.tif
 TRV_20pct_Chance_Flood_Depth_2015.tif</pre>  
 <strong>Tijuana River Valley: Flood Force (1983, 1% AEP,
 20% AEP)</strong> These map layers contain
 maximum flood force (m<sup>2</sup>/s) produced by three
 scenarios: 1) a historical 1983 flood, 2) a 1% AEP event occurring under
 2015 sea level conditions, and 3) a 20% AEP event occurring under 2015 sea
 level conditions. Flood drivers considered are streamflow from the Tijuana
 River and it's canyon tributaries in the Tijuana River Estuary
 (Smuggler's Gulch and Goat Canyon), as well as stormtide
 conditions.The displayed flood forces are not the result of one event, but
 the combination of flood depths produced by each flood driver as occurring
 independently and modeled separately. <pre>
 TRV_1983_Flood_Force.tif TRV_1pct_Chance_Flood_Force_2015.tif
 TRV_20pct_Chance_Flood_Force_2015.tif</pre>  
 <strong>Tijuana River Valley: Flood Shear Stress (1983, 1%
 AEP, 20% AEP)</strong> These map layers contain
 maximum flood shear stress (kg/m<sup>2</sup>) produced by
 three scenarios: 1) a historical 1983 flood, 2) a 1% AEP event occurring
 under 2015 sea level conditions, and 3) a 20% AEP event occurring under
 2015 sea level conditions. Flood drivers considered are streamflow from
 the Tijuana River and it's canyon tributaries in the Tijuana River
 Estuary (Smuggler's Gulch and Goat Canyon), as well as stormtide
 conditions.The displayed flood shear stresses are not the result of one
 event, but the combination of flood depths produced by each flood driver
 as occurring independently and modeled separately. <pre>
 TRV_1983_Flood_Shear_Stress.tif
 TRV_1pct_Chance_Flood_Shear_Stress_2015.tif
 TRV_20pct_Chance_Flood_Shear_Stress_2015.tif</pre>
   <strong>Tijuana River Valley: Chance
 of flooding</strong> This map layer contain
 annual chance of flooding over ankle depth under 2015 sea level
 conditions. Flood causes considered are storm tides, canyon flows, and
 Tijuana River flows with a range of return periods, from 1 to 100 years.
 The displayed probabilities of flooding are not the result of one event,
 but the combination of probabilities from events from different flood
 causes, with different chance, occurring independently, and modeled
 separately. <pre> TRV_Chance_of_Flooding.tif</pre>
 <b> </b> <strong>Tijuana
 River Valley: Flood Management Strategies</strong>
 These map layers represent two management strategies to deal with
 flooding in the Tijuana River Valley. The first strategy looks at the
 impact of channel dredging on a 20% AEP flood event. The second one looks
 at the impact of removing historically placed fill material downstream of
 Hollister Bridge (locally known as Borwn Fill) on a hindcast of the 1983
 flood event. <pre> TRV_Channel_Dredging.tif
 TRV_Fill_Removal.tif</pre> <b> </b>
 <strong>Tijuana River Valley: Implications of Flooding on
 Health</strong> This map layer contains depth and
 locations of water that did not freely drain to the Pacific Ocean by
 overland flow following the 1% AEP Tijuana River flood. The residual flood
 depth serves as a surrogate for standing water which could represent a
 public health risk since standing water increases mosquito activity.
 <pre> TRV_Channel_Dredging.tif
 TRV_Fill_Removal.tif</pre> <b> </b>