scholarly journals Factors affecting the quality of XBT data – results of analyses on profiles from the Western Mediterranean Sea

Ocean Science ◽  
2007 ◽  
Vol 3 (1) ◽  
pp. 59-75 ◽  
Author(s):  
F. Reseghetti ◽  
M. Borghini ◽  
G. M. R. Manzella
Keyword(s):  
Initial Conditions ◽  
Western Mediterranean ◽  
Temperature Correction ◽  
Rate Coefficients ◽  
Factors Affecting ◽  
Western Mediterranean Sea ◽  
Forecasting System ◽  
A New Technique ◽  
Environmental Prediction

Abstract. EXpendable BathyThermograph (XBT) temperature profiles collected in the framework of the Mediterranean Forecasting System – Toward Environmental Prediction (MFS-TEP) project have been compared with CTD measurements. New procedures for the quality control of recorded values have been developed and checked. Some sources of possible uncertainties and errors, such as the response time of the apparatus (XBT probe, thermistor and readout chain), or the influence of initial conditions are also analysed. To deal with the high homogeneity of Mediterranean waters, a new technique to compute the fall rate coefficients, that give a better reproduction of the depth of thermal structures, has been proposed, and new customized coefficients have been calculated. After the application of a temperature correction, the overall uncertainties in depth and in temperature measurements have been estimated.

scholarly journals Improved quality check procedures of XBT profiles in MFS-VOS

2006 ◽  
Vol 3 (5) ◽  
pp. 1441-1480 ◽  
Author(s):  
F. Reseghetti ◽  
M. Borghini ◽  
G. M. R. Manzella
Keyword(s):  
Quality Control ◽  
Temperature Measurements ◽  
Rate Coefficients ◽  
Fall Rate ◽  
Control Procedures ◽  
Forecasting System ◽  
Quality Check ◽  
Environmental Prediction ◽  
New Procedures ◽  
Ship Speed

Abstract. Sippican T4/DB XBT profiles, collected in the framework of Mediterranean Forecasting System – Toward Environmental Prediction, are analysed, namely the possible influence of launching position height, ship speed and of probes' characteristics. Comparison of XBT vs CTD profiles have suggested some changes in quality control procedures and, more important, in the values of fall rate coefficients customised for the Mediterranean. The effects of these new procedures on the overall uncertainty on depth and on temperature measurements are estimated.

scholarly journals Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems

2022 ◽  
Vol 26 (1) ◽  
pp. 197-220
Author(s):  
Emixi Sthefany Valdez ◽  
François Anctil ◽  
Maria-Helena Ramos
Keyword(s):  
Uncertainty Quantification ◽  
Lead Time ◽  
Initial Conditions ◽  
Model Structure ◽  
Sources Of Uncertainty ◽  
Hydrological Forecasting ◽  
Streamflow Forecasts ◽  
Catchment Size ◽  
Forecasting System

Abstract. This study aims to decipher the interactions of a precipitation post-processor and several other tools for uncertainty quantification implemented in a hydrometeorological forecasting chain. We make use of four hydrometeorological forecasting systems that differ by how uncertainties are estimated and propagated. They consider the following sources of uncertainty: system A, forcing, system B, forcing and initial conditions, system C, forcing and model structure, and system D, forcing, initial conditions, and model structure. For each system's configuration, we investigate the reliability and accuracy of post-processed precipitation forecasts in order to evaluate their ability to improve streamflow forecasts for up to 7 d of forecast horizon. The evaluation is carried out across 30 catchments in the province of Quebec (Canada) and over the 2011–2016 period. Results are compared using a multicriteria approach, and the analysis is performed as a function of lead time and catchment size. The results indicate that the precipitation post-processor resulted in large improvements in the quality of forecasts with regard to the raw precipitation forecasts. This was especially the case when evaluating relative bias and reliability. However, its effectiveness in terms of improving the quality of hydrological forecasts varied according to the configuration of the forecasting system, the forecast attribute, the forecast lead time, and the catchment size. The combination of the precipitation post-processor and the quantification of uncertainty from initial conditions showed the best results. When all sources of uncertainty were quantified, the contribution of the precipitation post-processor to provide better streamflow forecasts was not remarkable, and in some cases, it even deteriorated the overall performance of the hydrometeorological forecasting system. Our study provides an in-depth investigation of how improvements brought by a precipitation post-processor to the quality of the inputs to a hydrological forecasting model can be cancelled along the forecasting chain, depending on how the hydrometeorological forecasting system is configured and on how the other sources of hydrological forecasting uncertainty (initial conditions and model structure) are considered and accounted for. This has implications for the choices users might make when designing new or enhancing existing hydrometeorological ensemble forecasting systems.

scholarly journals Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems

2021 ◽  
Author(s):  
Emixi Sthefany Valdez ◽  
François Anctil ◽  
Maria-Helena Ramos
Keyword(s):  
Uncertainty Quantification ◽  
Lead Time ◽  
Initial Conditions ◽  
Model Structure ◽  
Sources Of Uncertainty ◽  
Hydrological Forecasting ◽  
Streamflow Forecasts ◽  
Catchment Size ◽  
Forecasting System

Abstract. This study aims to decipher the interactions of a precipitation post-processor and several other tools for uncertainty quantification implemented in a hydrometeorological forecasting chain. We make use of four hydrometeorological forecasting systems that differ by how uncertainties are estimated and propagated. They consider the following sources of uncertainty: A) forcing, B) forcing and initial conditions, C) forcing and model structure, and D) forcing, initial conditions, and model structure. For each system's configuration, we investigate the reliability and accuracy of post-processed precipitation forecasts in order to evaluate their ability to improve streamflow forecasts for up to seven days of forecast horizon. The evaluation is carried out across 30 catchments in the Province of Quebec (Canada) and over the 2011–2016 period. Results are compared using a multicriteria approach, and the analysis is performed as a function of lead time and catchment size. The results indicate that the precipitation post-processor resulted in large improvements in the quality of forecasts with regard to the raw precipitation forecasts. This was especially the case when evaluating relative bias and reliability. However, its effectiveness in terms of improving the quality of hydrological forecasts varied according to the configuration of the forecasting system, the forecast lead time, and the catchment size. The combination of the precipitation post-processor and the quantification of uncertainty from initial conditions showed the best results. When all sources of uncertainty were quantified, the contribution of the precipitation post-processor to provide better streamflow forecasts was not remarkable and, in some cases, it even deteriorated the overall performance of the hydrometeorological forecasting system. Our study provides an in-depth investigation on how improvements brought by a precipitation post-processor to the quality of the inputs to a hydrological forecasting model can be cancelled along the forecasting chain, depending on how the hydrometeorological forecasting system is configured and on how the other sources of hydrological forecasting uncertainty (initial conditions and model structure) are considered and accounted for. This has implications for the choices users might make when designing new or enhancing existing hydrometeorological ensemble forecasting systems.

scholarly journals SOCIB operational ocean forecasting system and multi-platform validation in the Western Mediterranean Sea

2016 ◽  
Vol 9 (sup1) ◽  
pp. s155-s166 ◽  
Author(s):  
M. Juza ◽  
B. Mourre ◽  
L. Renault ◽  
S. Gómara ◽  
K. Sebastián ◽  
...  
Keyword(s):  
Mediterranean Sea ◽  
Western Mediterranean ◽  
Western Mediterranean Sea ◽  
Forecasting System ◽  
Ocean Forecasting

Customer’s satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank – An Giang Branch

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Test Method ◽  
Quality Of Services ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Alpha Reliability ◽  
Survey Results ◽  
Development Orientation

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach's Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer's satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer's satisfactionon service quality.The analysis results show that there is no difference between customer's satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.

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