C-HARM v2 1-Day Forecast, Pseudo-nitzschia, cellular domoic acid, and particular domoic acid probability, California and Southern Oregon coast, 2022-present, Lon+/-180

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L, the probability of particulate domoic acid > 500 nanograms/L, and the probability of cellular domoic acid > 10 picograms/cell in California and Southern Oregon coastal water. Inputs for the model include near real-time satellite observations gap-filled chlorophyll a, 486nm reflectance, and 551nm reflectance fields from the S-NPP NOAA VIIRS sensor plus nowcast and forecast data of surface salinity, sea surface temperature, and surface currents from WCOFS ROMS. The chlorophyll a, reflectance, temperature, and surface current fields are included in the dataset
acknowledgement=UCSC UCSDWe thank NOAA CoastWatch West Coast Node (https://coastwatch.pfeg.noaa.gov/) for generating C-HARM model output and NOAA Southwest Fisheries (https://swfsc.noaa.gov/) for serving the data and computing resources. ROMS model data was provided by the West Coast Operational Forecast System (https://tidesandcurrents.noaa.gov/ofs/dev/wcofs/wcofs.html). Ocean color data provided by NOAA CoastWatch (https://coastwatch.noaa.gov/cw/satellite-data-products/ocean-color/near-real-time/viirs-single-sensor.html). This project was supported by the NOAA Coastal and Ocean Modeling Testbed Project (NOAA-NOS-IOOS-2018-2005452), award NA18NOS0120161 to Dr. Christopher Edwards.
cdm_data_type=Grid
composite=true
contributor=Dale Robinson, Christopher Edwards, Raphe Kudela, Clarissa Anderson
contributor_email=[e-mail], [e-mail], [e-mail], [e-mail]
contributor_name=Dale Robinson, Christopher Edwards, Raphe Kudela, Clarissa Anderson
contributor_role=operationalizing, Lead PI, Co-PI, Co-PI
contributor_url=https://coastwatch.pfeg.noaa.gov, https://oceanmodeling.ucsc.edu, http://oceandatacenter.ucsc.edu/home/ https://www.sccoos.org
Conventions=CF-1.6, COARDS, ACDD-1.3
date_metadata_modified=2022-12-02T14:28:03Z
Easternmost_Easting=-117.0
geospatial_lat_max=43.0
geospatial_lat_min=31.3
geospatial_lat_resolution=0.03
geospatial_lat_units=degrees_north
geospatial_lon_max=-117.0
geospatial_lon_min=-127.5
geospatial_lon_resolution=0.03
geospatial_lon_units=degrees_east
history=2022-12-02: DINEOF gap filling was applied to daily S-NPP NOAA VIIRS chlorophyll, 551nm reflectance, and 486nm reflectance fields extending back 180 days from today's date.
The gap-filled data plus salinity and temperature data from the CA-ROMS model were used as inputs to the C-HARM model to obtain nowcast.
ROMS current forecasts were used to advect the NOAA VIIRS data 1, 2, and 3 days into the future. Data gaps resulting from the advection were filled with a second DINEOF.
The advected gap-filled data plus salinity and temperature ROMS forecast data were used as inputs to the C-HARM model to obtain forecasts for 1, 2, and 3 days into the future.
id=charmForecast1dayV2
infoUrl=https://data.cencoos.org/#search?type_group=all&query=hab&page=1
institution=UCSC, UCSD
keywords_vocabulary=NASA Global Change Master Directory (GCMD) Science Keywords
naming_authority=gov.noaa.pfeg.coastwatch
Northernmost_Northing=43.0
platform=JPSS S-NPP
processing_level=L4 Mapped
product_name=C-HARM model nowcast and forecast
project=California-Harmful Algal Risk Mapping (C-HARM)
projection=geographic
references=Anderson et al. 2016. doi:10.106/j.hal.2016.08.006, Anderson et al. 2011. doi:10.1029/2010GL045858, Anderson et al. 2009. doi: 10.1016/j.hal.2008.10.00
sensor=VIIRS
source=C-HARM model output
sourceUrl=(local files)
Southernmost_Northing=31.3
spatial_resolution=3 km
standard_name_vocabulary=CF Standard Name Table v70
testOutOfDate=now-1day
time_coverage_end=2022-12-01T12:00:00Z
time_coverage_resolution=PD1
time_coverage_start=2021-01-02T12:00:00Z
Westernmost_Easting=-127.5

C-HARM模型能够生成加利福尼亚州和南俄勒冈州沿海水域中伪菱形藻浓度超过10,000个细胞/升、颗粒性毒素酸含量超过500纳克/升以及细胞毒素酸含量超过10皮克/细胞的概率的即时预报和预测。该模型的输入包括近实时卫星观测数据，包括经过插补的叶绿素a、486nm反射率和551nm反射率字段，以及来自S-NPP NOAA VIIRS传感器的数据，还包括来自WCOFS ROMS的表面盐度、海表温度和表面流速的预报和预测数据。叶绿素a、反射率、温度和表面流速字段均包含在数据集中。