loungeloha.blogg.se - Seamless web

Seamless web how to#
Seamless web software#

If you're going to walk through the codelab from the begining, please checkout the branch named codelab in this Github repository.

Seamless web how to#

We have the codelab introducing each API and demonstrating how to enable them by editing the sample app step by step.

codelab-complete: All APIs are live, This branch is the snapshot of the final state of the codelab.

This branch is the initial point of the codelab.

codelab: Any features are not implemented yet.

main: All APIs are live, and it includes API latest changes.

We have following branches in this repository: This project includes scripts and configuration files to build the sample web app which showcases some of new browser APIs. The app is also built for the referrence of how those new APIs are integrated into Next.js. Representatives of the CMEMS “Entrusted Entity” and of their user communities are part of the project Steering Group and Advisory Board.This project includes scripts and configuration files to build the sample web app which showcases some of new browser APIs that make loading experience nearly instant and navigation more seamless. It brings together core developers of CMEMS MFCs and CMEMS working group chairs (Biogeochemical Data Assimilation and Biogeochemical Argo), four research-intensive institutes/universities and two Small Medium Enterprises (SMEs). This will be achieved by a team of institutions with outstanding expertise and track records for all the key project components. On completion of SEAMLESS, six CMEMS MFCs will be able to deliver quality-assessed simulations of carbon cycle and food security indicators required by the CMEMS user community. SEAMLESS will expand simulations to plankton dynamics and related biogeochemical processes, e.g., plankton phenology and particulate carbon export, by developing a new ensemble assimilation prototype transferable to CMEMS MFCs.

This hypothesis is based on our previous work and pilot studies, which demonstrated that the joint assimilation of biogeochemical and physical data, from satellite sensors, biogeochemical-Argo floats and autonomous gliders improved the MFCs’ model simulations of the plankton stocks at the base of the marine food web. To achieve this objective, we will address the central hypothesis of SEAMLESS: new ensemble methods that jointly assimilate the new generation of satellite and in situ observations can control and improve the estimates of key ecosystem indicators, such as particulate carbon export and phytoplankton phenology. The specific objective 6 of SEAMLESS is to improve CMEMS MFC models through better parameterization of the biogeochemical processes that influence the ecosystem indicators

The specific objective 5 of SEAMLESS is to enable CMEMS MFCs to assimilate biogeochemical observations from the Copernicus space element and in situ platforms consistently, to link better the surface and subsurface ecosystem dynamics to the ecosystem indicators. Upload your choice of image, ideally a high resolution and play around with design. The specific objective 4 of SEAMLESS is to enable CMEMS MFCs to assimilate physical and biogeochemical data consistently, to link better the biogeochemical and physical simulations to the ecosystem indicators. A simple web app to create a pattern of your choice in minutes. Promoting a Seamless Experience Portal Strategy Web Browser Strategy Mobile Strategy Cohesive Digital Experience Application Program Interface (API) Tell.

Seamless web software#

The specific objective 3 of SEAMLESS is to develop an innovative modelling/assimilative prototype, consisting in an open-source software that includes CMEMS MFC biogeochemical and physical models, coupled to the ensemble DA tools that will be applied, advanced or newly developed in SEAMLESS. The specific objective 2 of SEAMLESS is to develop new ensemble generation and data assimilation methods that maximize the flow of information from the new observing networks towards the controllable ecosystem indicators. The specific objective 1 of SEAMLESS is to enrich the existing CMEMS portfolio with novel or improved operational products and associated uncertainty for indicators of carbon cycle, water quality and marine food web.