Iron, manganese, and lead at Hawaii Ocean Time-series station ALOHA: Temporal variability and an intermediate water hydrothermal plume

2005 ◽  
Vol 69 (4) ◽  
pp. 933-952 ◽  
Author(s):  
Edward A. Boyle ◽  
Bridget A. Bergquist ◽  
Richard A. Kayser ◽  
Natalie Mahowald
2016 ◽  
Author(s):  
S. M. Vicente-Serrano ◽  
C. Azorin-Molina ◽  
A. Sanchez-Lorenzo ◽  
A. El Kenawy ◽  
N. Martín-Hernández ◽  
...  

Abstract. We analysed recent evolution and meteorological drivers of the atmospheric evaporative demand (AED) in the Canary Islands for the period 1961–2013. We employed long and high quality time series of meteorological variables to analyze current AED changes in this region and found that AED has increased during the investigated period. Overall, the annual ETo increased significantly by 18.2 mm decade−1 on average, with a stronger trend in summer (6.7 mm decade−1). The radiative component showed much lower temporal variability than the aerodynamic component did. Thus, more than 90 % of the observed ETo variability at the seasonal and annual scales can be associated with the variability of the aerodynamic component. The variable that recorded more significant changes in the Canary Islands was relative humidity, and among the different meteorological factors used to calculate ETo, relative humidity was the main driver of the observed ETo trends. The observed trend could have negative consequences in a number of water-depending sectors if it continues in the future.


2008 ◽  
Vol 38 (9) ◽  
pp. 1931-1948 ◽  
Author(s):  
D. Stammer ◽  
S. Park ◽  
A. Köhl ◽  
R. Lukas ◽  
F. Santiago-Mandujano

Abstract Results from Estimating the Circulation and Climate of the Ocean (ECCO)–Scripps Institution of Oceanography (SIO) global ocean state estimate, available over the 11-yr period 1992 through 2002, are compared with independent observations available at the Hawaii Ocean time series station ALOHA. The comparison shows that at this position, the estimated temporal variability has some skill in simulating observed ocean variability and that the quality of future syntheses could benefit from additional information available from the Argo network and from the time series observations themselves. On a decadal time scale, the influence radius of the station ALOHA T–S time series covers large parts of the tropical and subtropical Pacific Ocean and reaches even into the Indian Ocean through the Indonesian Throughflow. Estimated changes in sea surface height (SSH) result largely from thermosteric changes; however, nonsteric (barotropic) variations on the order of 1–2 cm also contribute to SSH changes at station ALOHA. Moreover, changes of similar magnitude can be caused by changes in the salinity field because of a quasi-biennial oscillation in the horizontal flow structure and heaving of the mean salinity structure on seasonal and interannual time scales. The adjoint modeling framework confirms westward-propagating Rossby waves (due to wind forcing) and subduction of water-mass anomalies (due to surface buoyancy forcing) as the primary mechanisms leading to observed changes of T–S structures at station ALOHA. Specifically, the analysis identifies surface freshwater fluxes along the wintertime outcrop of intermediate waters as a primary cause for salinity changes at station ALOHA and wind stress forcing east of the station position as another forcing mechanism of salinity variations around the Hawaiian Archipelago.


2013 ◽  
Vol 119 ◽  
pp. 59-67 ◽  
Author(s):  
Lars-Eric Heimbürger ◽  
Héloïse Lavigne ◽  
Christophe Migon ◽  
Fabrizio D’Ortenzio ◽  
Claude Estournel ◽  
...  

2016 ◽  
Vol 62 (1) ◽  
pp. 200-216 ◽  
Author(s):  
Daniela Böttjer ◽  
John E. Dore ◽  
David M. Karl ◽  
Ricardo M. Letelier ◽  
Claire Mahaffey ◽  
...  

2020 ◽  
Author(s):  
Lorenza Raimondi ◽  
Kumiko Azetsu-Scott ◽  
Toste Tanhua ◽  
Igor Yashayaev ◽  
Doug Wallace

<p>Over the last thirty years the Bedford Institute of Oceanography (BIO) has been maintaining the Atlantic Zone Off-Shore Monitoring Program (AZOMP), which includes annual occupation of several sections and stations in the Northwest Atlantic Ocean. Among these, the AR7W line across the Labrador Sea has one of the longest time-series where both transient tracers and dissolved inorganic carbon (DIC) have been collected since the early 1990s.</p><p>Among multiple transient tracers that have been measured along this transect (CFC-11, CFC-113, CCl<sub>4</sub> and SF<sub>6</sub>), only measurement of CFC-12 extends over the full time-series from 1992 to 2018, overlapping with DIC observations. Measurements of CFC-12 were also available for a previous cruise in 1986, extending the time-series to three decades.</p><p>In this work we present the temporal variability of CFC-12 (1986-2016) and DIC (1992-2016) concentrations as well as their distribution in the major water masses of the region.</p><p>The CFC-12 data are used to reconstruct the time-history of the tracer’s saturation at the time of convection based on multiple regression with the atmospheric input function of CFC-12 and the annual maximum mixed layer depth. The so-modelled time-varying saturation is employed to relax the constant saturation assumption of the Transit Time Distribution (TTD) method, allowing for a better estimate of anthropogenic carbon (C<sub>ant</sub>) in the region.</p><p>We present the column inventories and storage rate of C<sub>ant</sub> in central Labrador Sea between 1986 and 2016 obtained using the TTD method with time-varying saturation. We compare these estimates with a classical TTD approach that assumes constant saturation, and we highlight the differences in trends and magnitudes obtained with the two approaches.    </p><p>Finally, our work shows the multi-decadal dataset of DIC in the Labrador Sea which enables a comparison between the TTD-based C<sub>ant</sub> estimates and the measured DIC trends, providing insights into temporal variability of natural carbon in the region.</p>


2005 ◽  
Vol 97 (3-4) ◽  
pp. 236-244 ◽  
Author(s):  
G. Brooks Avery ◽  
William J. Cooper ◽  
Robert J. Kieber ◽  
Joan D. Willey

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