This app allows users to browse time series of past POTW loads, either by individual POTW, or grouped by subembayment.
This app, associated with Beck et al (2022) allows for multi-year trends in long-term time series data to be calculated for different Bay stations and parameters including gross primary production, chlorophyll-a, dissolved oxygen and others.
The Imaging Flow CytoBot is used to monitor the density and biovolume of phytoplankton through automated flow cytometry, and can automatically identify some taxa. This app allows users to browse time series of IFCB data from 2018-2023 from a series of stations across SF Bay.
NMS has collected a time series of 18S metabarcoding data quantifying the relative abundance of different phytoplankton taxa through time at a series of SF Bay stations. This app allows users to browse through those time series, in a similar interface to the IFCB Viewer app, and change between percent abundance and direct molecular counts.
The Peterson cruises are a long-term time series of water quality data collected from a series of stations across San Francisco Bay. In this app, users can browse through time series of eight different parameters across Central and South Bay stations in the dataset.
Variability of dissolved oxygen across the Lower South Bay of SF Bay was investigated as part of an Assessment Framework effort. In this app, users can view dissolved oxygen time series for a selection of stations in different settings of LSB, and view calculations related to the distributions of DO above or below user-set thresholds.
The latest data can be viewed from NMS moored sondes at San Leandro Marina (SLM), Shoal (SHL) and San Mateo Bridge (SMB) stations, including continuous chl-a, dissolved oxygen, pH, nitrate and other parameters.
Remote sensed chl-a data from the Sentinel-3 satellites can be viewed, using an algorithm developed for SF Bay as described in Kudela et al. (2024)