The Bay-Delta SCHISM model connects to the CenCOOS ROMS model of the coast using Newtonian relaxation or "nudging". The files in this dataset are cached, subsetted copies of the netcdf output from the ROMS model that is needed to populate the nudging inputs of SCHISM. Note that (infrequently) some dates are missing or corrupted in the CenCOOS output and that we have filled in the data usually by copying the prior available day. The process applies to temperature and salinity near the ocean boundary. This dataset is under construction and should not be used.

Boundary forcing data for historical modeling with Bay-Delta SCHISM 2008-2016.

These datasets include processed Digital Elevation Models as used in important SCHISM studies, in particular the Delta Conveyance Project and 10 year retrospective. The datasets closely follow version 4.2 of our bathymetric data set but with three modifications: * The DCP mesh includes some sections that are based on version 4.1 of our bathymetric data. These are bundled and labeled separately. * Removal of subgrid curvature arifacts with the algorithm of Malladi and Sethian * Inclusion of design surfaces for Lindsey Slough, Yolo Flyway Farms, Decker Island and Tule Red restoration areas. * Synthetic extensions of the upstream reaches of the Sacramento and Mokelumne Rivers meant to prevent tidal reflection under extreme sea level rise. An extended lidar surface (not synthetic) is provided for the same purpose on Yolo Bypass

This data set provides an estimate of the vapor pressure deficit. It infers a value for each grid point based on nearby and distant values of the input Level-2 datasets and estimates of the variance of those values, with lower variances given higher weight. The Spatial Statistical Data Fusion (SSDF) surface continental United States (CONUS) products, fuse data from the Atmospheric InfraRed Sounder (AIRS) instrument on the EOS-Aqua spacecraft with data from the Cross-track Infrared and Microwave Sounding Suite (CrIMSS) instruments on the Suomi-NPP spacecraft. The CrIMSS instrument suite consists of the Cross-track Infrared Sounder (CrIS) infrared sounder and the Advanced Technology Microwave Sounder (ATMS) microwave sounder. These are all daily products on a ¼ x ¼ degree latitude/longitude grid covering the continental United States (CONUS). The SSDF algorithm infers a value for each grid point based on nearby and distant values of the input Level-2 datasets and estimates of the variance of those values, with lower variances given higher weight. Performing the data fusion of two (or more) remote sensing datasets that estimate the same physical state involves four major steps: (1) Filtering input data; (2) Matching the remote sensing datasets to an in situ dataset, taken as a truth estimate; (3) Using these matchups to characterize the input datasets via estimation of their bias and variance relative to the truth estimate; (4) Performing the spatial statistical data fusion. We note that SSDF can also be performed on a single remote sensing input dataset. The SSDF algorithm only ingests the bias-corrected estimates, their latitudes and longitudes, and their estimated variances; the algorithm is agnostic as to which dataset or datasets those estimates, latitudes, longitudes, and variances originated from.

SCHISM Docs on DWR Public Website

This dataset includes gzipped files formats native to the Surface Water Modeling System (SMS) grid generation software or *.gr3 format native to SCHISM. All are text based. Version numbers are used to track the mesh as it evolves or is modified for special study purposes. Study writeups are expected to note the version of the mesh used. As more mesh versions are added, readers may notice gaps -- a number of meshes are intermediate experiments never used for formal studies or workshops. Items are added in response to user request.

This dataset contains oceanographic and surface meteorological data collected from an automated shore station with a suite of sensors that are attached to Scripps Pier along the nearshore California coast. These automated sensors measure CHLOROPHYLL A CONCENTRATION, CONDUCTIVITY, DEPTH - OBSERVATION, HYDROSTATIC PRESSURE, SALINITY, WATER DENSITY and WATER TEMPERATURE at frequent intervals in the nearshore coastal ocean. These data can provide local and regional information on mixing and upwelling, land run-off, and algal blooms. Southern California Coastal Ocean Observing System (SCCOOS) at Scripps Institution of Oceanography (SIO) collected the data and provided the data to SCCOOS, which assembles data from Southern California Coastal Ocean Observing System (SCCOOS) at Scripps Institution of Oceanography (SIO) and other sub-regional coastal and ocean observing systems of the Southern California Coastal United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. The data are made available in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Each quarter, NCEI adds to this dataset the data collected or updated during the previous quarter.

SCOAPE_Ground_Data is the ground site data collected during the Satellite Coastal and Oceanic Atmospheric Pollution Experiment (SCOAPE). The ground site was located at the Louisiana Universities Marine Consortium (LUMCON; Cocodrie, LA). This collection features NO2 volume mixing ratios from the Teledyne API T500U and boundary layer height information from the UH Vaisala CL31 Ceilometer. Data collection for this product is complete. The Outer Continental Shelf Lands Act (OCSLA) requires the US Department of Interior Bureau of Ocean Energy Management (BOEM) to ensure compliance with the US National Ambient Air Quality Standard (NAAQS) so that Outer Continental Shelf (OCS) oil and natural gas (ONG) exploration, development, and production do not significantly impact the air quality of any US state. In 2017, BOEM and NASA entered into an interagency agreement to begin a study to scope out the feasibility of BOEM personnel using a suite of NASA and non-NASA resources to assess how pollutants from ONG exploration, development, and production activities affect air quality. An important activity of this interagency agreement was SCOAPE, a field deployment that took place in May 2019, that aimed to assess the capability of satellite observations for monitoring offshore air quality. The outcomes of the study are documented in two BOEM reports (Duncan, 2020; Thompson, 2020). To address BOEM’s goals, the SCOAPE science team conducted surface-based remote sensing and in-situ measurements, which enabled a systematic assessment of the application of satellite observations, primarily NO2, for monitoring air quality. The SCOAPE field measurements consisted of onshore ground sites, including in the vicinity of LUMCON, as well as those from University of Southern Mississippi’s Research Vessel (R/V) Point Sur, which cruised in the Gulf of Mexico from 10-18 May 2019. Based on the 2014 and 2017 BOEM emissions inventories as well as daily air quality and meteorological forecasts, the cruise track was designed to sample both areas with large oil drilling platforms and areas with dense small natural gas facilities. The R/V Point Sur was instrumented to carry out both remote sensing and in-situ measurements of NO2 and O3 along with in-situ CH4, CO2, CO, and VOC tracers which allowed detailed characterization of airmass type and emissions. In addition, there were also measurements of multi-wavelength AOD and black carbon as well as planetary boundary layer structure and meteorological variables, including surface temperature, humidity, and winds. A ship-based spectrometer instrument provided remotely-sensed total column amounts of NO2 and O3 for direct comparison with satellite measurements. Ozonesondes and radiosondes were also launched 1-3 times daily from the R/V Point Sur to provide O3 and meteorological vertical profile observations. The ground-based observations, primarily at LUMCON, included spectrometer-measured column NO2 and O3, in-situ NO2, VOCs, and planetary boundary layer structure. A NO2sonde was also mounted on a vehicle with the goal to detect pollution onshore from offshore ONG activities during onshore flow; data were collected along coastal Louisiana from Burns Point Park to Grand Isle to the tip of the Mississippi River delta. The in-situ measurements were reported in ICARTT files or Excel files. The remote sensing data are in either HDF or netCDF files.

This dataset contains the Hydrology (HYD) data collected on Southern Surveyor voyage SS2010_V08. The voyage took place off the NSW coast in the East Australian Current, 22nd September to the 5th October 2010. This dataset has been processed and archived within the CSIRO Marine and Atmospheric Research Data Centre in Hobart. Additional information regarding this dataset is contained in the cruise report for this voyage and/or the data processing report. Southern Surveyor on-voyage hydrology data are typically obtained from water samples collected in Niskin bottles at various depths during each CTD cast. Parameters measured normally comprise temperature, salinity, dissolved oxygen, phosphate, nitrate, silicate, and nitrite.