Quality control method of Argo float position data
نویسندگان
چکیده
منابع مشابه
Argo Real-Time Quality Control Intercomparison
The real-time quality control (QC) methods applied to Argo profiling float data by the UK Met Office, the US Fleet Numerical Meteorology and Oceanography Centre, the Australian Bureau of Meteorology and the Coriolis Centre are compared and contrasted. Data are taken from the period 2007 to 2011 inclusive and real-time QC performance assessed with respect to Argo delayed-mode QC. An intercompari...
متن کاملImplementation of ARGO position assimilation
Implementation of position assimilation for ARGO floats in a realistic Mediterranean Sea OPA model and twin experiment testing V. Taillandier and A. Griffa CNR-ISMAR, Forte Santa Teresa, 19036 Lerici, La Spezia, Italy RSMAS, University of Miami, 4600 Rickenbacker Causeway, Miami, FL, USA Received: 23 February 2006 – Accepted: 9 April 2006 – Published: 18 May 2006 Correspondence to: V. Taillandi...
متن کاملQuality control of oceanographic in situ data from Argo floats using climatological convex hulls
A new method of identifying anomalous oceanic temperature and salinity (T/S) data from Argo profiling floats is proposed. The proposed method uses World Ocean Database 2013 climatology to classify good against anomalous data by using convex hulls. An n-sided polygon (convex hull) with least area encompassing all the climatological points is constructed using Jarvis March algorithm. Subsequently...
متن کاملOn the assessment of Argo float trajectory assimilation in the Mediterranean Forecasting System
The Mediterranean Forecasting System (MFS) has been operational for a decade, and is continuously providing forecasts and analyses for the region. These forecasts comprise local- and basin-scale information of the environmental state of the sea and can be useful for tracking oil spills and supporting search-and-rescue missions. Data assimilation is a widely used method to improve the forecast s...
متن کاملFloat Cascade Method for Pedestrian Detection
A novel pedestrian detection method based on the Four Direction Features (FDF), called FloatCascade pedestrian detection, is proposed for the pedestrian detection problem, which can be applied to the pedestrian detection problem in a single image. The FDF can represent pedestrian well, and the computation cost is lower than the HOG’s. FloatCascade applies the plus-l-minus-r method to select the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JAMSTEC Report of Research and Development
سال: 2008
ISSN: 1880-1153,2186-358X
DOI: 10.5918/jamstecr.7.11