Download or read book Temperature data assimilation with salinity corrections written by Alberto Troccoli and published by . This book was released on 2003 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Temperature Data Assimilation with Salinity Corrections Validation for the NSIPP Ocean Data Assimilation System in the Tropical Pacific Ocean 1993 1998 written by and published by . This book was released on 2003 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Temperature Data Assimilation with Salinity Corrections written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-06-11 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: The NASA Seasonal-to-Interannual Prediction Project (NSIPP) has developed an Ocean data assimilation system to initialize the quasi-isopycnal ocean model used in our experimental coupled-model forecast system. Initial tests of the system have focused on the assimilation of temperature profiles in an optimal interpolation framework. It is now recognized that correction of temperature only often introduces spurious water masses. The resulting density distribution can be statically unstable and also have a detrimental impact on the velocity distribution. Several simple schemes have been developed to try to correct these deficiencies. Here the salinity field is corrected by using a scheme which assumes that the temperature-salinity relationship of the model background is preserved during the assimilation. The scheme was first introduced for a zlevel model by Troccoli and Haines (1999). A large set of subsurface observations of salinity and temperature is used to cross-validate two data assimilation experiments run for the 6-year period 1993-1998. In these two experiments only subsurface temperature observations are used, but in one case the salinity field is also updated whenever temperature observations are available.Troccoli, Alberto and Rienecker, Michele M. and Keppenne, Christian L. and Johnson, Gregory C.Goddard Space Flight CenterOCEAN DATA ACQUISITIONS SYSTEMS; TEMPERATURE PROFILES; ANNUAL VARIATIONS; NASA PROGRAMS; SALINITY; PACIFIC OCEAN; TROPICAL REGIONS; VELOCITY DISTRIBUTION; WATER; INTERPOLATION; OCEAN MODELS; ROOT-MEAN-SQUARE ERRORS; DATA PROCESSING

Download or read book Temperature Data Assimilation with Salinity Corrections written by Alberto Troccoli and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Ocean Data Assimilation Using the Temperature salinity Relation and Water Mass Diagnostics written by Alberto Troccoli and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Ocean Data Assimilation Using the Temperature salinity Relation and Water Mass Diagnostics written by Alberto Troccoli and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sea level Data Assimilation for Estimating Salinity Variablility in the Tropical Pacific written by Femke Cathelijne Vossepoel and published by . This book was released on 1999 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Description of the SST Data Assimilation System Used in the NOAA Coastal Ocean Forecast System COFS for the U S East Coast Version 3 2 written by John G. W. Kelley and published by . This book was released on 1999 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The purpose of NOAA Coastal Ocean Forecast System (COFS) is to provide nowcasts and short-term forecasts of water temperature, salinity, water level, and currents for the East Coast of the United States ... COFS is a collaborative project between the National Weather Service (NWS), the National Ocean Service (NOS), and Princeton University ... A data assimilation cycle for COFS was developed and implemented semi-operationally on April 1, 1998. This version of COFS is referred to as COFS 3.2. The purpose of the cycle is to provide a three-dimensional nowcast of the coastal ocean physical structure."--Page 1.

Download or read book Processing EASTROPAC STD Data and the Construction of Vertical Temperature and Salinity Sections by Computer written by Forrest R. Miller and published by . This book was released on 1972 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Operational Multivariate Ocean Data Assimilation written by and published by . This book was released on 2006 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fully three-dimensional, multivariate, optimum-interpolation ocean data assimilation system has been developed that produces simultaneous analyses of temperature. salinity. geopotential and vector velocity. The system is run in real-time, and can be executed as a stand-alone analysis or cycled with an ocean forecast model in a sequential incremental update cycle. Additional capabilities have been built into the system. including flow- dependent background-error correlations and background-error variances that vary in space and evolve from one analysis cycle to the next. The ocean data types assimilated include: remotely sensed sea surface temperature, sea surface height. and sea-ice concentration; plus in-situ surface and sub-surface observations of temperature. salinity, and currents from a variety of sources, such as ships. buoys. expendable bathythermographs. conductivity-temperature-depth sensors, and profiling floats. An ocean data quality-control system is fully integrated with the multivariate analysis, and includes feedback of forecast fields and prediction errors in the quality control of new observations. The system is operational at the US Navy oceanographic, production centers both in global and in regional applications. It is being implemented as the data assimilation component of the Hybrid Coordinate Ocean Model as part of the US contribution to the Global Ocean Data Assimilation Experiment.

Download or read book Ocean Data Assimilation A Coastal Application written by and published by . This book was released on 2009 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Navy Coupled Ocean Data Assimilation (NCODA) system is applied to a period during the Autonomous Ocean Sampling Network II (AOSN II) field campaign conducted in the Monterey Bay area in August 2003. The multivariate analysis of NCODA is cycled with the Navy Coastal Ocean Model (NCOM) in a sequential, incremental, update cycle. In addition to the operational data obtained from the Global Ocean Data Assimilation Experiment (GODAE) server, which included satellite observations of sea-surface temperature (SST) and sea-surface height and insitu surface and sub-surface observations of temperature and salinity, high-density data from aircraft SST observations and high-frequency data from buoys used for the AOSN II field experiment are also assimilated. The results from data assimilative and non-assimilative runs are compared with and verified against observations. Bias and root-mean-square errors of temperature indicate that forecast skill from the data assimilative run exceeds errors from the persistence and the non-assimilative runs. The seasonal thermocline is better represented and the warm bias for both upwelling and relaxation periods is significant reduced.

Download or read book Validation Test Report for the 1 16 Degree Global NRL Layered Ocean Model Nowcast Forecast System written by and published by . This book was released on 2003 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes validation tests for the eddy-resolving 1/16 degree global Naval Research Laboratory (NRL) Layered Ocean Model (NLOM) nowcast/forecast system. For the nonassimilative model, maps of sea surface height (SSH) and sea surface temperature (SST) show that the model depicts the observed positions of the major fronts. Comparisons of model SSH variability with altimetry and correlations with tide-gauge SSH time series demonstrate ocean model skill. In addition, model comparisons with daily buoy time series of SST indicate that the model has SST simulation skill when forced by winds and thermal forcing. The realistic nonassimilative model simulation skill indicates that the model will add skill to the data assimilation cycle and, in the case of SSH assimilation, allow the model to be used as the first-guess for the analysis. Validation tests of the assimilative model were performed. SST comparisons with unassimilated buoy time series show that the model has good agreement with the observed data. SSH comparisons with observed sea level from coastal stations and buoys indicate that the model has accurate SSH and the correlations are higher with data assimilation. Nowcast comparisons with analyzed frontal positions from the Naval Oceanographic Office show that the model can be a useful tool to help the analyst improve frontal analyses. Forecast evaluations indicate that the model has SSH predictive skill of at least 30 days in the Kuroshio Extension, about 15 days in the Gulf Stream, and at least 30 days when calculated globally. The NLOM system was also tested for improvement of the Modular Ocean Data Assimilation System (MODAS) synthetic temperature profiles by using the NLOM SSH field as opposed to the MODAS 2-D SSH analysis field. Results indicate that the synthetics from NLOM SSH are, in general, better than MODAS SSH. (2 tables, 50 figures, 34 refs.).

Download or read book Validation Test Report for the 1 16 Degree Global NRL Layered Ocean Model Nowcast Forecast System written by Robert C. Rhodes and published by . This book was released on 2003-04-01 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes validation tests for the eddy-resolving 1/16 degree global Naval Research Laboratory (NRL) Layered Ocean Model (NLOM) nowcast/forecast system. For the nonassimilative model, maps of sea surface height (SSH) and sea surface temperature (SST) show that the model depicts the observed positions of the major fronts. Comparisons of model SSH variability with altimetry and correlations with tide-gauge SSH time series demonstrate ocean model skill. In addition, model comparisons with daily buoy time series of SST indicate that the model has SST simulation skill when forced by winds and thermal forcing. The realistic nonassimilative model simulation skill indicates that the model will add skill to the data assimilation cycle and, in the case of SSH assimilation, allow the model to be used as the first-guess for the analysis. Validation tests of the assimilative model were performed. SST comparisons with unassimilated buoy time series show that the model has good agreement with the observed data. SSH comparisons with observed sea level from coastal stations and buoys indicate that the model has accurate SSH and the correlations are higher with data assimilation. Nowcast comparisons with analyzed frontal positions from the Naval Oceanographic Office show that the model can be a useful tool to help the analyst improve frontal analyses. Forecast evaluations indicate that the model has SSH predictive skill of at least 30 days in the Kuroshio Extension, about 15 days in the Gulf Stream, and at least 30 days when calculated globally. The NLOM system was also tested for improvement of the Modular Ocean Data Assimilation System (MODAS) synthetic temperature profiles by using the NLOM SSH field as opposed to the MODAS 2-D SSH analysis field. Results indicate that the synthetics from NLOM SSH are, in general, better than MODAS SSH. (2 tables, 50 figures, 34 refs.)

Download or read book Error Subspace Data Assimilation Methods for Ocean Field Estimation written by Pierre F. J. Lermusiaux and published by . This book was released on 1997 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Processing of Oceanographic Station Data written by Joint Panel on Oceanographic Tables and Standards and published by UNESCO. This book was released on 1991 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable manual for specialists that contains guidelines on how to calculate, either by computer algorithms or manual calculations, most of the common physical and dynamic properties of the sea, such as specific stability, density ratio, etc.

Download or read book Manual for Real time Quality Control of In situ Temperature and Salinity Data written by Integrated Ocean Observing System (U.S.) and published by . This book was released on 2016 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This manual documents a series of test procedures for quality control (QC) of temperature and salinity (TS) data. TS observations covered by these procedures are collected in oceans, coastal waters, and lakes in real time. The scope of real time has expanded to accommodate the span of the 26 variables covered by U.S. IOOS"--Page 3. [doi:10.7289/V5V40SD4 (https://doi.org/10.7289/V5V40SD4)].

Download or read book Validation Test Report for the Global Ocean Forecast System V3 0 1 12 Deg HYCOM NCODA Phase II written by and published by . This book was released on 2010 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global Ocean Forecast System Version 3.0 (V3.0) is comprised of the 1/12 deg global HYbrid Coordinate Ocean Model (HYCOM) and the Navy Coupled Ocean Data Assimilation (NCODA) system. It is a next-generation system capable of nowcasting and forecasting the oceanic "weather," which includes the three-dimensional ocean temperature, salinity and current structure, the surface mixed layer and the location of mesoscale features such as eddies, meandering currents and fronts. V3.0 is scheduled to replace the existing nowcast/forecast system (V2.6) based on the 1/8 deg Navy Coastal Ocean Model (NCOM), 1/32 deg Navy Layered Ocean Model (NLOM), 1/8 deg Modular Ocean Data Analysis System (MODAS) and NCODA. This Phase II report describes the validation testing performed on one-year hindcasts of V3.0 and V2.6. A few Phase I tasks (temperature vs. depth and acoustical proxy error analyses) have been re-evaluated along with new evaluations examining a) each system as a provider of boundary conditions to a regional nested model, b) 14-day forecast skill relative to climatology and persistence of temperature vs. depth, c) 14-day forecast skill of acoustical proxies, d) 14-day forecast skill of sea surface height and sea surface temperature, and e) a velocity comparison against glider and drifting buoy observations. Overall, this report has determined that GOFS V3.0 is performing equal to or notably better than GOFS V2.6. The superior performance of V3.0 is especially evident in providing boundary contitions to regional nested models, an important function of a global ocean nowcast/forecast system.