2001
DOI: 10.5065/d6668b75
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ETOPO2, Global 2 Arc-minute Ocean Depth and Land Elevation from the US National Geophysical Data Center (NGDC)

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Cited by 7 publications
(3 citation statements)
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“…respectively. We use the bathymetry from Etopo2 (2001), and the Multivariate El Niño Index (MEI; Wolter and Timlin (2011); https://psl.noaa.gov/enso/mei/).…”
Section: Discussionmentioning
confidence: 99%
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“…respectively. We use the bathymetry from Etopo2 (2001), and the Multivariate El Niño Index (MEI; Wolter and Timlin (2011); https://psl.noaa.gov/enso/mei/).…”
Section: Discussionmentioning
confidence: 99%
“…In the assumption that most of the long-term changes are anthropogenic, our estimate of the positive trend in DIC between 1500 m and 4000 m might be overestimated, but within the uncertainties. To obtain the depth until where we vertically integrate, we use the bathymetry from Etopo2 (2001). Previous studies have found that there is no significant increase in Cant below 4000 m (Gruber et al, 2019).…”
Section: S3: Global Upscaling Of the Inventory Changesmentioning
confidence: 99%
“…Due to the importance of physical variables for MOx rate prediction, only data points with accompanying methane concentration, temperature, salinity, and depth data were retained. To calculate the depth integrated MOx rates in global near-shore waters, we downloaded global seafloor depth data (n = 58,330,800) from the ETOPO2 high-resolution bathymetry from the US National Geophysical Data Center (NGDC) 60 (resolution: 0.033°). Sites with depths ≤ 50 m were selected to determine the mean seafloor depth (D shallow ) in the near-shore areas using the equation of D shallow = 1 n P n i = 1 f ðiÞ, where f (i) is the site depth and n is the number of near-shore sites based on 0.033°resolution (n = 421473) filtered by the dplyr R software package.…”
Section: Machine-learning Prediction Of Global Mox Ratesmentioning
confidence: 99%