Dataset: Rainwater aluminum measurements of samples collected November 2018 to March 2020 at Tudor Hill, Bermuda as part of the Bermuda Atlantic Iron Timeseries project

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.956635.1Version 1 (2025-03-19)Dataset Type:Other Field Results

Principal Investigator: Peter N. Sedwick (Old Dominion University)

Technician: Bettina Sohst (Old Dominion University)

BCO-DMO Data Manager: Dana Stuart Gerlach (Woods Hole Oceanographic Institution)


Program: U.S. GEOTRACES (U.S. GEOTRACES)

Project: NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model (BAIT)


Abstract

These data include total-dissolvable aluminum concentrations in rainwater and corresponding rainfall amounts for composite samples collected during approximately weekly intervals on the sampling tower at Tudor Hill, Bermuda, between November 2018 and March 2020. The data allow estimates of the wet deposition of aluminum to the Bermuda region over the period of the BAIT project, which included cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019....

Show more

Composite samples of bulk rainwater were collected atop the 23 meter height sampling tower at Tudor Hill, Bermuda (https://bios.asu.edu/tudorhill/facility-description), on an approximately weekly basis from November 2018 through March 2020, bracketing the four BAIT project cruises. Rainwater samples were collected in acid-cleaned 2-Liter wide-mouth fluorinated high-density polyethylene bottles (Nalgene) using an automatic rain sampler (N-Con Systems ADS 00-120); rain samples were subsequently acidified to 0.4% (v/v) with 6 M ultrapure hydrochloric acid (Fisher Optima) in the collection bottles, and then after two months the acidified, unfiltered samples were transferred into acid-cleaned 125 mL low-density polyethylene bottles (Nalgene) for analysis of "total-dissolvable Al" (TDAl; Tian et al. 2008). Field blanks for the rainwater (125 mL ultrapure deionized water) were deployed on the Tudor Hill tower and processed in the same manner as samples, but without opening the rain sampler.

Aluminum concentrations in the acidified rainwater were determined by inductively-coupled plasma mass spectrometry (ICP-MS, Thermo Fisher Scientific ElementXR) without preconcentration, using calibration standards prepared in 0.4% ultrapure hydrochloric acid (Fisher Optima) and yttrium as an internal standard. The field blank value for rainwater was 0.015 µmol TDAl, which equates to a concentration of 0.15 µmol L-1TDAl for a typical rain sample volume of 100 mL. The limit of detection for aluminum in blank-corrected rain samples was estimated as 0.90 nmol per sample, from three times the standard deviation on the mean of replicate analyses of the single field blank (in the absence of a replicate field blank for rain). In the absence of duplicate samples for rainwater, we assume an overall uncertainty on TDAl concentrations of less than ±10% (one-sigma), based on duplicate, separate-day analyses of rain samples by ICP-MS.


Related Datasets

IsRelatedTo

Dataset: BAIT Aerosol Aluminum Data
Sedwick, P. N., Sohst, B., Williams, T. E. (2025) Aerosol aluminum measurements from Tudor Hill, Bermuda collected December 2018 to March 2020 as part of the Bermuda Atlantic Iron Timeseries project. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-03-19 doi:10.26008/1912/bco-dmo.956140.1

Related Publications

Results

Williams, T. E., Sedwick, P. N., Sohst, B. M., Buck, K. N., Caprara, S., Johnson, R. J., Ohnemus, D. C., Resing, J. A., Sofen, L. E., Tagliabue, A., & Twining, B. S. (2025) Dust deposition to the Sargasso Sea: A comparison of estimates using aluminum in the surface ocean versus aerosols and rainwater. (accepted for publication in Geophysical Research Letters).
Methods

Tian, Z., Ollivier, P., Véron, A., & Church, T. M. (2008). Atmospheric Fe deposition modes at Bermuda and the adjacent Sargasso Sea. Geochemistry, Geophysics, Geosystems, 9(8). Portico. https://doi.org/10.1029/2007gc001868