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Ocean / atmosphere climatology products can be used to describe important information about the conditions of our region measured on any particular day, against conditions measured in the past, and with respect to their seasonal variability, effects of climate phenomena due to the El Niño Southern Oscillation and their extremes. To improve our understanding of ocean/atmosphere conditions offshore the Pacific Northwest coast, NANOOS has developed a suite of ocean/atmosphere climatology products. These products currently include:
In Situ Assets
Plots from NDBC buoy data show a variety of useful information, including:
This suite of Chlorophyll-a and Sea surface temperature climatology and anomaly data products are derived from daily, 0.0125 degree by 0.0125 degree, MODIS Aqua fields that cover the California Current System for the 12-year period July 2002 through June 2014.
In Situ Assets
Data measured from selected in situ assets were obtained from the National Data Buoy Center of NOAA and post-processed to ensure any temporal gaps are filled with missing values; we used Not-a-Number (NAN) to designate missing values. The end result is a complete synchronous record for each year of data, which may be used to extrapolate meaningful information about the conditions offshore the NANOOS region. Simple statistics (daily means and standard deviation (σ)) were subsequently derived for several parameters (wind speed, air and water temperature and significant wave height) at each of the stations and plotted. The plots show a variety of useful information, including:
MODIS Aqua Satellite Overlays
This suite of Chlorophyll-a and Sea surface temperature (SST) climatology and anomaly data products are derived from daily, 0.0125 degree by 0.0125 degree, MODIS Aqua CHLA and SST fields that cover the California Current System (22N - 51N, 135W - 105W) for the 12-year period July 2002 through June 2014. These daily fields, obtained from the NOAA CoastWatch West Coast Regional Node website, were processed using a successive 3x3, 5x5 and 7x7 grid cell hybrid median filtering technique.
This technique was found to effectively reduce noise in the daily fields while maintaining features and detail in important regions such as capes and headlands. The resulting median filtered daily fields were then linearly interpolated to a 0.025 by 0.025 degree grid and averaged to create 144 monthly mean fields. The seasonal cycles at each 0.025 degree by 0.025 degree grid cell were obtained by fitting each multiyear time series of monthly means to a nine-parameter regression model consisting of a constant plus four harmonics (frequencies of N/(1-year), N-1,4; Risien and Chelton 2008, JPO). Even with the median filtering and the temporal averaging of the daily fields, the highly inhomogeneous nature of the MODIS fields still resulted in regression coefficients that were excessively noisy.
We therefore applied the same successive 3x3, 5x5 and 7x7 hybrid median filtering technique, described above, to the regression coefficients before finally spatially smoothing the coefficients using a loess smoother (Schlax et al. 2001, JTECH) with filter cutoff wavelengths of 0.25 degree latitude by 0.25 degree longitude. The seasonal cycles were then calculated from the filtered regression coefficients for each 0.025 degree by 0.025 degree grid cell using the mean and all four harmonics. A more detailed description of these data products can be found at here. It is important to note that THIS SUITE OF DATA PRODUCTS IS HIGHLY EXPERIMENTAL and is strictly intended for scientific evaluation by experienced marine scientists.
Determines the format in which units are displayed.
|°F, ft, ft/s, Hg, etc.|
|°C, m, m/s, mbar, etc.|
Lat / Lon Format
Determines the format in which latitude and longitude are displayed.
DDD° MM' SS.ss"
|44° 31' 21.36"|
Determines if plots use a common y-axis for all plots of the same measurement, or if each plot uses a y-axis based on its values.
No Asset Data for Selected Time
Determines what to do when newly selected asset does not have data at the selected time.
Select Closest Data Point
Overlay Value Locations
Determines the location of numeric labels on map overlays. Only applicable to overlays that have value layers.
The overlay does not have data at the selected time