GSOC · Global Statistics of Ocean Currents
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2011-09-01 → 2015-08-31
- Финансиране от ЕС
- 100 000 €
- Участници
- 1
- Схема
- MC-CIG
Линиите свързват координатора с партньорите.
Накратко на български
Океанските течения и тяхното взаимодействие с морското дъно се анализират чрез разширяване на глобална база данни с реални измервания. Това помага за по-точното разбиране на разпределението на енергията в океаните и подобрява симулациите за климата.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Global Statistics of Ocean Currents
EU researchers are expanding a database filled with vital information about the world's oceans. The work will create an important resource for modelling these water bodies. Main text The Global Multi-Archive Current Meter Database (GMACMD) is a global collection of oceanographic time series data. The data are mainly derived from moored ocean current meter, temperature and other in situ sources. The aim of the GSOC (Global statistics of ocean currents) project is to increase the size of the database and implement automatic quality control checks on the metadata. In addition, the initiative will estimate the global energy dissipation due to interactions of ocean currents with the seafloor. By measuring the rate of dissipation, scientists can understand the main sources of energy driving ocean currents and the physical processes responsible for dispersing this energy. An important part of the energy dissipation process is the generation of internal waves resulting from flow over a rough ocean floor. Results indicate that estimates by other researchers are too low, mainly because their models of abyssal currents were not validated with in situ measurements. GSOC work will therefore help improve climate simulations through important changes to the climatically significant thermohaline circulation (sometimes called the oceanic conveyor belt). Another project objective is to determine the statistical accuracy of the ocean currents simulated using global models of tides and the general circulation. The GMACMD was used to determine the state of the art for global ocean tidal model simulations. During the project the GMACMD expanded from approximately 44 000 records to over 76 000 and now represents the largest freely available collection of such records. The results from GSOC will be useful for many applications, including planning new observational programmes such as satellite missions and validating ocean numerical modelling projects. It will also help scientists understand related physical processes and comparisons with theoretical predictions. Keywords: Ocean currents, Global Multi-Archive Current Meter Database, energy dissipation, abyssal currents, thermohaline circulation Website: http://stockage.univ-brest.fr/~scott/GMACMD/gmacmd.html
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
We exploit a very large global database of in situ current velocity, and temperature time series at fixed-positions (i.e. not drifting) to create summary statistics of ocean currents. Of principal interest are a decomposition of energy in different frequency bands, and the vertical and horizontal decorrelation length scales, and the interdependence between length scales and timescales. These in situ summary statistics will be complemented with those possible from satellite data (especially low-frequency motions of near surface currents, and their horizontal decorrelation scales.) To the extent possible, we will explore statistics of processes relevant to the mechanical energy budget of the ocean: 1) mechanical energy fluxes, especially the temporal correlation of vertical velocity and pressure believed to play an important role in the vertical transfer of kinetic energy to the abyss, 2) characterization of the bottom boundary layer and its role in dissipated mechanical energy. The summary statistics will include means for the World Ocean, different ocean basins, and estimates of statistical uncertainty and regional variability. For instance, we will estimate the cumulative distribution of fraction of total kinetic energy in the internal gravity wave frequency band, among many other summary statistics. By presenting the cumulative distribution one can find identify both the median and the variability about the median found in the World Ocean. The global summary statistics we explore are useful end products in themselves that are presently largely lacking in the oceanographic literature. They are also useful for many applications including planning new observational programmes such as satellite missions, validating ocean numerical modelling projects, and understanding physical processes and comparison with theoretical predictions. These applications are being pursued in collaboration with colleagues in the United States and Europe.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITE DE BREST · BRESTКоординаторФранция
Връзки
Данни: CORDIS, © Европейски съюз