Quality control of ocean temperature and salinity profile data

2004 ◽  
Author(s):  
K.P. Grembowicz ◽  
B.S. Howell
Keyword(s):  
Quality Control ◽  
Ocean Temperature ◽  
Profile Data ◽  
Salinity Profile

scholarly journals Quality control and TLC profile data on selected plant species commonly found in the Brazilian market

2012 ◽  
Vol 22 (5) ◽  
pp. 1111-1118 ◽  
Author(s):  
Renato Braz ◽  
Luciana G. Wolf ◽  
Gisely C. Lopes ◽  
João C. P. de Mello
Keyword(s):  
Quality Control ◽  
Plant Species ◽  
Profile Data

scholarly journals Ocean Observation Data Prediction for Argo Data Quality Control Using Deep Bidirectional LSTM Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Fan Jiang ◽  
Jitong Ma ◽  
Baosen Wang ◽  
Feifei Shen ◽  
Lingling Yuan
Keyword(s):  
Quality Control ◽  
Rapid Development ◽  
Nonlinear Function ◽  
Observation Data ◽  
Ocean Temperature ◽  
Data Quality Control ◽  
Argo Data ◽  
Data Prediction ◽  
Bidirectional Lstm ◽  
Prediction Approach

With the rapid development of maritime technologies, a huge amount of ocean data has been acquired through the state-of-the-art ocean equipment to get better understanding and development of ocean. The prediction and correction of oceanic observation data play a fundamental and important role in the oceanic relevant applications, including both civilian and military fields. On the basis of Argo data, aiming at predicting and correcting the oceanic observation data, we propose an ocean temperature and salinity prediction approach in this paper. In our approach, firstly, bounded nonlinear function is utilized for dataset quality control, which can effectively eliminate the influence of spikes or outliers in Argo data. Then, RBF neural network is used for high-resolution Argo dataset construction. Finally, a bidirectional LSTM framework is proposed to predict and analyze the ocean temperature and salinity on the basis of BOA Argo data. Experimental results demonstrate that the proposed bidirectional LSTM framework can accurately predict the ocean temperature and salinity and enable outstanding performance in oceanic observation data prediction and correction. The proposed approach is also important for the realization of Argo dataset automatic quality control.

scholarly journals A New Global Ocean Climatology

2021 ◽  
Vol 9 ◽  
Author(s):  
Kanwal Shahzadi ◽  
Nadia Pinardi ◽  
Alexander Barth ◽  
Charles Troupin ◽  
Vladyslav Lyubartsev ◽  
...  
Keyword(s):  
Quality Control ◽  
World Ocean ◽  
Sensor Data ◽  
Global Ocean ◽  
Control Procedure ◽  
Ocean Temperature ◽  
Control Approach ◽  
Mapping Algorithm ◽  
Long Time ◽  
Low Sensitivity

A new global ocean temperature and salinity climatology is proposed for two time periods: a long time mean using multiple sensor data for the 1900–2017 period and a shorter time mean using only profiling float data for the 2003–2017 period. We use the historical database of World Ocean Database 2018. The estimation approach is novel as an additional quality control procedure is implemented, along with a new mapping algorithm based on Data Interpolating Variational Analysis. The new procedure, in addition to the traditional quality control approach, resulted in low sensitivity in terms of the first guess field choice. The roughness index and the root mean square of residuals are new indices applied to the selection of the free mapping parameters along with sensitivity experiments. Overall, the new estimates were consistent with previous climatologies, but several differences were found. The cause of these discrepancies is difficult to identify due to several differences in the procedures. To minimise these uncertainties, a multi-model ensemble mean is proposed as the least uncertain estimate of the global ocean temperature and salinity climatology.

Health communication ethics and CDC quality-control guidelines for information

2003 ◽  
Vol 118 (3) ◽  
pp. 193-196 ◽  
Author(s):  
Jeffrey W McKenna ◽  
Terry F Pechacek ◽  
Donna F Stroup
Keyword(s):  
Quality Control ◽  
Health Communication ◽  
Communication Ethics
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