3,002 research outputs found
Two-year observations of the Jupiter polar regions by JIRAM on board Juno
We observed the evolution of Jupiter's polar cyclonic structures over two years between February 2017 and February 2019, using polar observations by the Jovian InfraRed Auroral Mapper, JIRAM, on the Juno mission. Images and spectra were collected by the instrument in the 5âÎŒm wavelength range. The images were used to monitor the development of the cyclonic and anticyclonic structures at latitudes higher than 80° both in the northern and the southern hemispheres. Spectroscopic measurements were then used to monitor the abundances of the minor atmospheric constituents water vapor, ammonia, phosphine and germane in the polar regions, where the atmospheric optical depth is less than 1. Finally, we performed a comparative analysis with oceanic cyclones on Earth in an attempt to explain the spectral characteristics of the cyclonic structures we observe in Jupiter's polar atmosphere
Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations
open18siThe eddy covariance is a powerful technique to estimate the surface-Atmosphere exchange of different scalars at the ecosystem scale. The EC method is central to the ecosystem component of the Integrated Carbon Observation System, a monitoring network for greenhouse gases across the European Continent. The data processing sequence applied to the collected raw data is complex, and multiple robust options for the different steps are often available. For Integrated Carbon Observation System and similar networks, the standardisation of methods is essential to avoid methodological biases and improve comparability of the results. We introduce here the steps of the processing chain applied to the eddy covariance data of Integrated Carbon Observation System stations for the estimation of final CO2, water and energy fluxes, including the calculation of their uncertainties. The selected methods are discussed against valid alternative options in terms of suitability and respective drawbacks and advantages. The main challenge is to warrant standardised processing for all stations in spite of the large differences in e.g. ecosystem traits and site conditions. The main achievement of the Integrated Carbon Observation System eddy covariance data processing is making CO2 and energy flux results as comparable and reliable as possible, given the current micrometeorological understanding and the generally accepted state-of-The-Art processing methodsopenSabbatini, Simone; Mammarella, Ivan; Arriga, Nicola; Fratini, Gerardo; Graf, Alexander; Hörtnagl, Lukas; Ibrom, Andreas; Longdoz, Bernard; Mauder, Matthias; Merbold, Lutz; Metzger, Stefan; Montagnani, Leonardo; Pitacco, Andrea; Rebmann, Corinna; SedlĂĄk, Pavel; Ć igut, Ladislav; Vitale, Domenico; Papale, DarioSabbatini, Simone; Mammarella, Ivan; Arriga, Nicola; Fratini, Gerardo; Graf, Alexander; Hörtnagl, Lukas; Ibrom, Andreas; Longdoz, Bernard; Mauder, Matthias; Merbold, Lutz; Metzger, Stefan; Montagnani, Leonardo; Pitacco, Andrea; Rebmann, Corinna; SedlĂĄk, Pavel; Ć igut, Ladislav; Vitale, Domenico; Papale, Dari
Circulation at the South-West Indian Ridge in a high-resolution global ocean model
Includes bibliographical references (leaves 76-86)This study explores the use of the 1/4° and the 1/12° Ocean Circulation and Climate Advanced Modelling (OCCAM) project. The model's representation of the dynamic nature of this region is assessed. On average 2 - 3 intense and well-defined eddies are generated per year within the model; having mean longevities of 4.89 ± 2.20 months with average advection speeds of 5.51 ± 1.57 km day¯
Assessment of alternative strategies for sludge disposal into deep ocean basins off Southern California
The general framework of engineering alternatives for regional ocean sludge disposal is well described in a report by Raksit, and will not be repeated here. The various ocean disposal alternatives are less costly than all land-disposal and incineration/pyrolysis systems studied. Even though ocean sludge disposal is currently contrary to both state and federal regulations, it is hoped that this study will advance our scientific and engineering knowledge of the behavior and effects of sludge discharge in deep water, in case the regulatory policy is reexamined in the future.
With this report we hope we have demonstrated the potential and difficulties of some new modeling techniques for predicting the effects of sludge discharge in the ocean. In the future. we believe it will be possible to formulate policy of ocean sludge discharges with much better case-by-case predictions of impacts for comparison with other alternatives (such as land disposal). not only for the Los Angeles/Orange County areas, but for all coastal urban areas
The Lagrangian description of aperiodic flows: a case study of the Kuroshio Current
This article reviews several recently developed Lagrangian tools and shows
how their combined use succeeds in obtaining a detailed description of purely
advective transport events in general aperiodic flows. In particular, because
of the climate impact of ocean transport processes, we illustrate a 2D
application on altimeter data sets over the area of the Kuroshio Current,
although the proposed techniques are general and applicable to arbitrary time
dependent aperiodic flows. The first challenge for describing transport in
aperiodical time dependent flows is obtaining a representation of the phase
portrait where the most relevant dynamical features may be identified. This
representation is accomplished by using global Lagrangian descriptors that when
applied for instance to the altimeter data sets retrieve over the ocean surface
a phase portrait where the geometry of interconnected dynamical systems is
visible. The phase portrait picture is essential because it evinces which
transport routes are acting on the whole flow. Once these routes are roughly
recognised it is possible to complete a detailed description by the direct
computation of the finite time stable and unstable manifolds of special
hyperbolic trajectories that act as organising centres of the flow.Comment: 40 pages, 24 figure
Horizontal eddy energy flux in the world oceans diagnosed from altimetry data
© The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 4 (2014): 5316, doi:10.1038/srep05316.During the propagation of coherent mesoscale eddies, they directly or indirectly induce many effects and interactions at different scales, implying eddies are actually serving as a kind of energy carrier or energy source for these eddy-related dynamic processes. To quantify this dynamically significant energy flow, the multi-year averaged horizontal eddy energy fluxes (EEFs) were estimated by using satellite altimetry data and a two-layer model based on hydrographic climatology. There is a strong net westward transport of eddy energy estimated at the mean value of ~13.3â
GW north of 5°N and ~14.6â
GW at the band 5°S ~ 44°S in the Southern Hemisphere. However, poleward of 44°S east-propagating eddies carry their energy eastward with an averaged net flux of ~3.2â
GW. If confirmed, it would signify that geostrophic eddies not only contain the most of oceanic kinetic energy (KE), but also carry and spread a significant amount of energy with them.This study is supported by Grants XDA11010202, 2011CB403505, 2013CB430303; Projects 41306016, U1033002, 40976021 of NNSFC and LTOZZ1304
Training neural mapping schemes for satellite altimetry with simulation data
Satellite altimetry combined with data assimilation and optimal interpolation
schemes have deeply renewed our ability to monitor sea surface dynamics.
Recently, deep learning (DL) schemes have emerged as appealing solutions to
address space-time interpolation problems. The scarcity of real altimetry
dataset, in terms of space-time coverage of the sea surface, however impedes
the training of state-of-the-art neural schemes on real-world case-studies.
Here, we leverage both simulations of ocean dynamics and satellite altimeters
to train simulation-based neural mapping schemes for the sea surface height and
demonstrate their performance for real altimetry datasets. We analyze further
how the ocean simulation dataset used during the training phase impacts this
performance. This experimental analysis covers both the resolution from
eddy-present configurations to eddy-rich ones, forced simulations vs.
reanalyses using data assimilation and tide-free vs. tide-resolving
simulations. Our benchmarking framework focuses on a Gulf Stream region for a
realistic 5-altimeter constellation using NEMO ocean simulations and 4DVarNet
mapping schemes. All simulation-based 4DVarNets outperform the operational
observation-driven and reanalysis products, namely DUACS and GLORYS. The more
realistic the ocean simulation dataset used during the training phase, the
better the mapping. The best 4DVarNet mapping was trained from an eddy-rich and
tide-free simulation datasets. It improves the resolved longitudinal scale from
151 kilometers for DUACS and 241 kilometers for GLORYS to 98 kilometers and
reduces the root mean squared error (RMSE) by 23% and 61%. These results open
research avenues for new synergies between ocean modelling and ocean
observation using learning-based approaches
- âŠ