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- Author or Editor: ANN D. COWLEY x
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Abstract
The lunar semidiurnal barometric tide L 2 and the solar 24-, 12-, and 8-hr. oscillations of the surface pressure have been determined for 10 stations in Australia and on adjacent islands. At Rabaul and Moresby L 2 is considerably smaller than elsewhere in these latitudes. The characteristic annual variation of the phase—late high tide during the D season—is found at most Australian stations. But the annual amplitude minimum occurs only at half the Australian stations during this season, contrary to the behavior of L 2 over most of the globe.
Abstract
The lunar semidiurnal barometric tide L 2 and the solar 24-, 12-, and 8-hr. oscillations of the surface pressure have been determined for 10 stations in Australia and on adjacent islands. At Rabaul and Moresby L 2 is considerably smaller than elsewhere in these latitudes. The characteristic annual variation of the phase—late high tide during the D season—is found at most Australian stations. But the annual amplitude minimum occurs only at half the Australian stations during this season, contrary to the behavior of L 2 over most of the globe.
Abstract
The lunar air tide and the solar 24-, 12-, 8-, and 6-hourly oscillations have been determined for Willemstad, N.W.I. and Trinidad, B.W.I. Monthly means of these oscillations have been computed for Puerto Rico.
Abstract
The lunar air tide and the solar 24-, 12-, 8-, and 6-hourly oscillations have been determined for Willemstad, N.W.I. and Trinidad, B.W.I. Monthly means of these oscillations have been computed for Puerto Rico.
Abstract
The lunar semidiurnal tide and the solar 24-, 12-, 8-, and 6-hour oscillations have been determined for the six stations Balboa, Panama; San Juan, P.R.; Aguadilla, P.R.; Burbank, Calif.; Oklahoma City, Okla.; and Greensboro, N.C.
Abstract
The lunar semidiurnal tide and the solar 24-, 12-, 8-, and 6-hour oscillations have been determined for the six stations Balboa, Panama; San Juan, P.R.; Aguadilla, P.R.; Burbank, Calif.; Oklahoma City, Okla.; and Greensboro, N.C.
An Algorithm for Classifying Unknown Expendable Bathythermograph (XBT) Instruments Based on Existing MetadataAbstract
Time-varying biases in expendable bathythermograph (XBT) instruments have emerged as a key uncertainty in estimates of historical ocean heat content variability and change. One of the challenges in the development of XBT bias corrections is the lack of metadata in ocean profile databases. Approximately 50% of XBT profiles in the World Ocean database (WOD) have no information about manufacturer or probe type. Building on previous research efforts, this paper presents a deterministic algorithm for assigning missing XBT manufacturer and probe type for individual temperature profiles based on 1) the reporting country, 2) the maximum reported depth, and 3) the record date. The criteria used are based on bulk analysis of known XBT profiles in the WOD for the period 1966–2015. A basic skill assessment demonstrates a 77% success rate at correctly assigning manufacturer and probe type for profiles where this information is available. The skill rate is lowest during the early 1990s, which is also a period when metadata information is particularly poor. The results suggest that substantive improvements could be made through further data analysis and that future algorithms may benefit from including a larger number of predictor variables.
Abstract
Time-varying biases in expendable bathythermograph (XBT) instruments have emerged as a key uncertainty in estimates of historical ocean heat content variability and change. One of the challenges in the development of XBT bias corrections is the lack of metadata in ocean profile databases. Approximately 50% of XBT profiles in the World Ocean database (WOD) have no information about manufacturer or probe type. Building on previous research efforts, this paper presents a deterministic algorithm for assigning missing XBT manufacturer and probe type for individual temperature profiles based on 1) the reporting country, 2) the maximum reported depth, and 3) the record date. The criteria used are based on bulk analysis of known XBT profiles in the WOD for the period 1966–2015. A basic skill assessment demonstrates a 77% success rate at correctly assigning manufacturer and probe type for profiles where this information is available. The skill rate is lowest during the early 1990s, which is also a period when metadata information is particularly poor. The results suggest that substantive improvements could be made through further data analysis and that future algorithms may benefit from including a larger number of predictor variables.
