CDIP Products

Once data have been acquired and processed, CDIP makes them available using a variety of services. In addition, the web site offers a wide range of tools that provide graphical, tabular, and text analyses of realtime, historic and modeled data. In this way all users - from researchers looking for the most detailed, extensive data set possible, to surfers just checking the waves - can find the information that they need.

THREDDS Data Server

At the heart of CDIP is accurate, high-quality scientific data that is fully described using FGDC standard metadata. CDIP’s entire archive of observed and modeled data can be found through our THREDDS data server. THREDDS was developed by Unidata at Ucar in Boulder Colorado and allows us to serve our data using a variety of services such as OpenDap and OGC SOS. The THREDDS data server is actually serving Unidata netCDF formatted data files.

CDIP Web Site

Our web site provides a variety of plots and statistical data summaries which can be accessed from any station’s data page. These visualizations and tabular reports are generated using the netCDF formatted data with the exception of a few products generated from pressure sensor data.

NDBC and NWS

CDIP sends the NDBC a full spectral file in XML format. This facilitates integration with GTS/AWIPS and allows dissemination to NWS offices.

Coastal Ocean Observing Systems and CDIP

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SCCOOS CENCOOS

CDIP deploys and maintains instrumentation in several of the Integrated Ocean Observing System regions. By collaborating with the various regions, we hope to enhance coastal observations.

Since its inception in 1976, CDIP’s goals have reflected many of the same emphases as recent ocean observing initiatives, namely:

  • To generate accurate, high-quality scientific data;
  • To process and distribute data to users in near real-time; and
  • To be responsive to the changing demands and needs of its users.

CDIP’s website is also equipped to present a range of text and graphic products based on spectral data submitted by cooperating agencies. For details on this process, please contact us and refer to our data submission guidelines.

WIS

The USACE’s Wave Information Studies (WIS) program makes extensive use of CDIP buoy observations for model validation. The relative locations of WIS output points and CDIP buoys (as of Jan 2016) can be viewed in a kml file.

QARTOD

CDIP is an active member of the QARTOD (Quality Assurance of Real-Time Ocean Data) effort. This is an IOOS community effort to standardize quality assurance and quality control parameters among data providers. Thus far, waves, in-situ currents, remote currents and CTD have been addressed. Summary tables of quality control measures have been developed for both waves and in-situ currents; refer to the links below.

Waves QC table Currents QC table Draft Waves QA table QARTOD homepage

Wave Eval Tool

To assist with the wave measurement community’s comparison and validation of various wave sensors, CDIP has developed a a special tool for analyzing spectral wave data. Details from co-location experiments and the tool itself can be accessed online. In partnership with the Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM) , wave sensor intercomparison test results may also be found on JCOMM’s Wave measurement Evaluation and Test page.

Water Level Forecasts and Flooding Indices

In February 2015, CDIP updated the ‘Flooding Index’ forecast plots. In accordance with current reseach on wave runup, the new plots are not based only on the tide and wave height, but also take the wave period into account. The resulting water level predictions are generally lower than those from the old model, but they should be significantly more representative of the actual water levels observed at the coast. For more information, please refer to the documentation below.

Shoreline Water Levels

High tides and large waves erode beaches, damage property, and flood coastal highways. Tides in California can be predicted accurately for many years in the future. Wave forecasts are usually poor more than a few days in advance. Furthermore, even given specific wave conditions, the amount of flooding depends on poorly understood site details. For example, for unknown reasons, some locations along Highway 101 can overwash (lower left) while other nearby locations do not. Modern studies of wave overwash use high power computers to simulate a few waves over limited areas with recent surveys of sand levels. Such surveys are usually lacking, and computations are in any case not feasible for large reaches of coastline. The objective of the CDIP water level forecasts is to estimate the vertical elevation to be reached a given coastal location, using a simple, computationally fast model that requires little information beyond wave conditions.

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Figure 1: Photographs of wave overwash in California.
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Figure 2: Schematic of a breaking wave, and wave runup, on a sandy beach with slope β.
SWL is the still water line (water level without waves) determined primarily by the astronomical tide.
R is the vertical elevation of the runup above SWL.
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Figure 3: CDIP water level forecast (3 day) at Point Sal.

Coastal engineers worldwide have studied wave runup for more than 60 years, including sea and swell waves running up steep seawalls, low slope beaches, and everything in between. Wave runup on fine sand differs from runup on cobbles, and coastal structures are often protected with boulders (Figure 1). Runup is important, complicated, and an active area of research. Movies of wave runup around the world have been carefully ortho-rectified and used to develop empirical (e.g. based on observations) formula for wave runup (Stockdon et al, 2006). Most of those, and other, formula include the beach slope β. Unfortunately, β changes as beaches erode, and can be steep in some depths and low slope in others. Fortunately, Stockdon et al (2006) provide an estimate for storm wave runup that does not depend on β. The vertical level reached by 2% of waves (R2%) depends on incident wave significant height Ho, and period T (Stockdon et al, 2006):

R2% = 0.043 (HoLo)1/2

where the deep water wavelength Lo = (g/2pi) T2. Long period swell causes higher runup than short period seas of the same height. Higher incident waves of course cause higher runup. Note that Stockdon uses the spectral peak Tpeak, whereas the mean period Tmean is used here to avoid jumps in R2% in bimodal waves with approximately equal sea and swell energy.

On figure 3, the maximum water level is equal to the Tide Level + R2%. Ho and Lo are estimated, in 10m depth, from the CDIP regional wave model. Estimates are averaged over a 500m alongshore length of beach. Tide predictions from the nearest long-term NOAA tide station are used, and the predicted tides are adjusted by adding in the offset between the last observed monthly mean MSL value and the MSL datum (1983-2001) for the tide station.

Reference: Stockdon, H.F., Holman, R.A., Howd, P.A., Sallenger, A.H., 2006. Empirical parameterization of setup, swash, and runup. Coast. Eng. 53 (7), 573-588.

Cardiff water level forecasts and flooding thresholds

CDIP generates ‘Flooding Index’ forecast plots based on the tide, wave height, and wave period for a number of locations along the coast. For Cardiff, these plots include specific ‘mild’ and ‘moderate’ flooding thresholds. Details on these thresholds are below.

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To view the full image: right click and open in a new tab
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To view the full image: right click and open in a new tab

Outreach: Custom Products and Display Pages

To aid both research and education efforts, CDIP produces a number of customized products for different institutions. Some of these products are specialized plots and data files, geared towards a specific investigation; others are general display pages, intended to educate the public and promote awareness about the numerous oceanographic resources available on the web today. Listed below are examples of the various types of custom products that have been generated.

Products that are automatically tranferred to associated agencies in near real-time

  • Los Angeles County coastal wave heights generated from buoy readings and CDIP’s swell models are transferred every hour to the Coastal Monitoring Network, whose Watch the Water website provides real-time beach information for all of LA County.
  • Every thirty minutes the latest measurements from CDIP’s buoys are transmitted to the NDBC and the NWS. Please see the next section of the documentation for more details on these collaborations.

Products that are prepared for associated agencies and available via the web

  • Detailed wave modeling is performed in the San Pedro Channel/Long Beach Harbor vicinity to faciltate the operation of the numerous shipping operations in the area. ( LA/LB Harbor )

Products and web pages that are customized for specific venues

  • In SIO’s Birch Aquarium a number of pages summarizing CDIP activities - as seen in the thumbnails below - were set up in a special display to help educate and inform visitors to the aquarium.
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  • A page designed for the Channel Islands National Park Visitor Center in Ventura, CA, provides information which focuses on the waters around the park.
  • Informational web slide shows have been designed to allow the display of CDIP products at public events such as the San Diego County fair. These shows include the standard slide show and the split-screen slide show.

Products that are created in response to specific events

  • When Alaska Airlines Flight 261 crashed off of Pt. Mugu on January 31, 2000, CDIP immediately started creating wave and wind forecasts for the recovery area that were available over the web.