Saildrone 2022 SWFSC Survey NRT, drone 1076
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https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.html
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资源简介:
The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.
area=Pacific Ocean
cdm_data_type=Trajectory
cdm_trajectory_variables=trajectory
Conventions=CF-1.6, ACDD-1.3, COARDS
data_mode=realtime
description=Saildrone NetCDF Format
drone_id=1076
Easternmost_Easting=-123.763776
featureType=Trajectory
geospatial_lat_max=47.1431008
geospatial_lat_min=38.844992
geospatial_lat_units=degrees_north
geospatial_lon_max=-123.763776
geospatial_lon_min=-125.4764544
geospatial_lon_units=degrees_east
history=Saildrone
id=228793
infoUrl=https://saildrone.com/
institution=Saildrone
interval=60.0
keywords_vocabulary=GCMD Science Keywords
naming_authority=com.saildrone
netcdf_version=4.6.2
nodc_template_version=NODC_NetCDF_Trajectory_Template_v2.0
Northernmost_Northing=47.1431008
platform=Saildrone
project=noaa_swfsc_2022
source=Saildrone
sourceUrl=(local files)
Southernmost_Northing=38.844992
standard_name_vocabulary=CF Standard Name Table v58
subsetVariables=trajectory
testOutOfDate=now-3hours
time_coverage_duration=PT1H59M59S
time_coverage_end=2022-09-01T23:59:00Z
time_coverage_resolution=PT1M
time_coverage_start=2022-07-10T02:00:00Z
time_in=minutes
Westernmost_Easting=-125.4764544
wmo_id=1801592
美国国家海洋渔业服务局(National Marine Fisheries Service,简称NMFS)西南渔业科学中心(Southwest Fisheries Science Center,简称SWFSC)正在探索运用先进技术以深化我们对海洋生态系统的认知,提升运营效率,增强任务安全性,并有望降低运营成本。无人水面航行器(Unmanned Surface Vehicles,简称USV)在执行调查任务方面的应用即为这种先进技术之一。新方法与现行标准方法进行对比,旨在验证所得结果与现有标准方法具有可比性或更优。次要目标在于提供更广泛的调查覆盖范围,以补充美国海洋大气管理局(National Oceanic and Atmospheric Administration,简称NOAA)的研究船覆盖范围。
提供机构:
ERDDAP Data Server at NOAA/PMEL



