Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- c7e77d088ee3f522f123b04c14283869ch5773 description "This dataset is a data-Cube retrieved from the ADAM platform over Germany in September 2020" assertion.
- d2d2c982c6c5f023b448ef1c6127f6cdch3ab8 description "This dataset is a data-Cube retrieved from the ADAM platform over Germany in September 2019" assertion.
- dc6f591ad056a4bfd8e21441498b7e6ach56dc description "Daily average maps of CAMS Nitrogen Dioxidekg m-3] over Germany on September 15, 2021" assertion.
- e906c43da1e60413e2e4b1671601fe89ch1026 description "Daily average of CAMS Nitrogen Dioxidekg m-3] over Düsseldorf in September 2021" assertion.
- f4fec3504ccda5bcd38f549ca563175bch53eb description "Monthly average maps of CAMS Nitrogen Dioxide [kg m-3] over Germany in 2019, 2020 and 2021" assertion.
- 0583f2dd-d42a-4f20-9104-519d587cb30e description "This Research Object demonstrates how to use CAMS European air quality analysis from Copernicus Atmosphere Monitoring with RELIANCE services and compute monthly map of PM10 over a given geographical area, here Germany" assertion.
- c8960e21-be3f-4511-960c-038e09517a5a description "Monthly average maps of CAMS Particulate matter < 10 µm [µg m-3] over Germany in 2019, 2020 and 2021" assertion.
- content description "Jupyter Notebook for discovering, accessing and processing RELIANCE data cube, and creating a Research Object with results, and finally publish it in Zenodo" assertion.
- 17f83ad80b8994f3435c8e24d33023b7che032 description "This dataset is a data-Cube retrieved from the ADAM platform over Germany in September 2021" assertion.
- 5f63ea1c3854ead77c13a17c0f712ddech42bb description "Monthly average maps of CAMS Particulate matter < 10 µm [µg m-3] over Germany in 2019, 2020 and 2021" assertion.
- 608cee9653bb1a113cbcfcb666662788ch3928 description "Daily average of CAMS Particulate matter < 10 µmµg m-3] over Düsseldorf in September 2021" assertion.
- 6785ea47d138ef526f5f58321d849676ch4eeb description "This dataset is a data-Cube retrieved from the ADAM platform over Germany in September 2019" assertion.
- 77fa7903d73b67f7262c7312a9c92cd5ch1386 description "netCDF data corresponding to daily average of CAMS Particulate matter < 10 µm [µg m-3] over Germany for September 2019, September 2020 and September 2021" assertion.
- 9272d9f87eda07caf8cd2d089a68b812ch5a34 description "This dataset is a data-Cube retrieved from the ADAM platform over Germany in September 2020" assertion.
- 9d583c3078d449166832b905499bd00echa70c description "Daily average maps of CAMS Particulate matter < 10 µmµg m-3] over Germany on September 15, 2021" assertion.
- f17678673167e4963be6cfe6258b857ach37b8 description "Geojson file used for retrieving data from the ADAM platform over Germany" assertion.
- dd948b04-bfa4-44b0-814b-19f7daff6b8c description "The aerosol-cloud interaction has been much explored in recent studies because of its high uncertain contribution to the anthropogenic forcing of climate change. The high uncertainty relies on the high difficulty in understanding the multiple processes and players involved, related to the non-linearity between the change in aerosols and multiple cloud properties. Earth system models are an indispensable tool to predict the future climate. They are process-based models, and they are directly affected by the uncertainty in the understanding of the aerosol-cloud dynamics. The present work investigates the ability of the CMIP6 models to reproduce the relationship between the cloud droplet number concentration (CDNC) and the aerosol optical depth (AOD), taken as a proxy of the number of aerosols (or CCN, cloud condensation nuclei). First a comparison between the modelled and observed AOD (data was not available for CDNC) was conducted to individuate the best performance within the models in reproducing this variable. The observational data were from MODIS data and the comparison was done on the climatological mean over the 2000-2014 period. Using different statistical parameters, a ranking was produced and the model GFDL-ESM4 resulted to better perform over the other models. Afterwards, in order to account for the non-linearity of the process, joint histogram have been used to reproduce the relationship between AOD and CDNC. The objective was to compare the modelled results on a global and local scale with the MODIS data from the study Gryspeerdt et al 2016, in order to see if the model could capture the complex relationship. The different time resolution didn’t allow to proceed to a direct comparison of the plots, but they result to be compatible, leading to the conclusion that GFDL-ESM4 model is able to well reproduce this interaction. The importance of separating the analysis into the liquid water content and the ice content is also appreciated, which is even more evident in regional analysis. Further investigations are needed to better compare and quantify the performance of the CMIP6 models in reproducing the observed aerosol-cloud interaction." assertion.
- 399b0eb3-2277-43bb-9a94-220f97f925c3 description "This Jupyter notebook has been used to generate the Research Object and also to update it e.g. add all the internal and external resources used and generated during the eScience course." assertion.
- 49da3cdc-b072-443d-bf26-f1c19824933d description "Overview of the study areas using data from GFDL-ESM4 climatological mean (2000 - 2014) of AOD at 550 nm." assertion.
- 4b685a29-a30d-4f28-a44b-e9c8f3af802b description "This is the final report written for the FORCeS eScience course 'Tools in Climate Science: Linking Observations with Modelling'. It has been built from the Jupyter Notebook and also contains the scientific discussion of the results as well as references." assertion.
- 5246cbe0-36cf-45ce-a0bc-8b26b5a4850e description "This jupyter notebook support the report written for the FORCeS eScience course 'Tools in Climate Science: Linking Observations with Modelling'" assertion.
- d7763e55-e8e7-41b6-ac27-ca3483458b94 description "Plotting of statistical analysis of the comparison between CMIP6 models and MODIS observations." assertion.
- e1c47b1b-1e9b-4d0c-b738-d7829c50bfad description "Overview of the AOD data with a) MODIS: Climatological mean (2000-2014) of AOD; b) KACE-1-0-G: climatological mean (2000-2014) of AOD." assertion.
- ecb6ef8b-761c-4615-ac37-98ae2ee4728b description "This GeoJSON file shows the entire globe e.g. the analysis has been done on a global scale." assertion.
- f150366f-6033-41cb-af49-152d9536cd9c description "Plotting of the joint histograms figures for different regions and models." assertion.
- fa18d64a-8e93-44aa-8d58-233b00078b15 description "This is a Python script where all the functions used in the Jupyter Notebook were gathered. This Python script needs to be downloaded with the Jupyter Notebook and must be in the same folder than the Jupyter Notebook itself." assertion.
- caba607c-4de3-45d0-98f4-d5fbdfee0921 description "CAMS European air quality forecasts: NO2 - time range: 2022-04-25T23:00:00Z/2018-07-12T00:00:00Z - min/max Value: 0/0 - DataType: Float32 - Resolution: 0 -" assertion.
- fb78ebe8-ce02-449c-a204-756aded59969 description "CAMS European air quality forecasts: NO2 - time range: 2022-04-25T23:00:00Z/2018-07-12T00:00:00Z - min/max Value: 0/0 - DataType: Float32 - Resolution: 0 -" assertion.
- VSM description "Link to the GitHub repository with the VSM code" assertion.
- VSM description "Link to the GitHub repository with the VSM code" assertion.
- VSM_test description "Tests of VSM in GitHub using InSAR and GNSS data at Campi Flegrei caldera (Italy)" assertion.
- VSM_test description "Tests of VSM in GitHub using InSAR and GNSS data at Campi Flegrei caldera (Italy)" assertion.
- a25c47c7-f4dd-44d2-be2c-ab74b6a99070 description "Modelling of the 2011-2012 unrest at Santorini (Greece)." assertion.
- a25c47c7-f4dd-44d2-be2c-ab74b6a99070 description "Modelling of the 2011-2012 unrest at Santorini (Greece)." assertion.
- e97e6ada-276b-4406-b2ee-d3ec36e096c3 description "Volcanic and Seismic source Modelling (VSM) is an open source Python tool to model ground deformation detected by satellite and terrestrial geodetic techniques. The VSM tool allows the user to choose one or more geometrical sources as forward model among sphere, spheroid, ellipsoid, fault, and sill. It supports multiple datasets from most satellite and terrestrial geodetic techniques: interferometric SAR, GNSS, levelling, Electro-optical Distance Measuring, tiltmeters and strainmeters. Two sampling algorithms are available, one is a global optimization algorithm based on the Voronoi cells and the second follows a probabilistic approach to parameters estimation based on the Bayes theorem. VSM can be executed as Python script, in Jupyter Notebook environments or by its Graphical User Interface. Version 1.0 April 2022. For any inquires, please write to elisa.trasatti@ingv.it" assertion.
- d159c0a2-bb4c-4e9b-b558-4f8334993357 description "License of use of VSM" assertion.
- f60c5109-024f-434a-b724-8aea3091e134 description "Modelling of InSAR and GNSS data at Campi Flegrei by VSM" assertion.
- f60c5109-024f-434a-b724-8aea3091e134 description "Modelling of InSAR and GNSS data at Campi Flegrei by VSM" assertion.
- dxfh-x940 description "Application of VSM to the M7.1 Van Earthquake (Turkey) of 2011" assertion.
- dxfh-x940 description "Application of VSM to the M7.1 Van Earthquake (Turkey) of 2011" assertion.
- wesr-p505 description "Data modelling related to the 2021 eruption at Nyiragongo volcano (DR Congo) using VSM" assertion.
- wesr-p505 description "Data modelling related to the 2021 eruption at Nyiragongo volcano (DR Congo) using VSM" assertion.
- b83a814a-27e6-499c-a6b2-61a0a921e53b description "This Research Object has been created using the Reliance services. It aggregates results from the VSM run, related to the modelling of the coseismic deformation due to the Van earthquake (Turkey) of 23 October 2011. The geodetic dataset consists of InSAR slant and azimuth range measurements from COSMO-Skymed satellite, descending orbit ENVISAT data, and GNSS data. The forward model used is Okada (1985)." assertion.
- 2324af3c-2f87-45b1-9e2d-84cf39711ad7 description "Subsampled azimuth direction Cosmo-Skymed data of the Van earthquake" assertion.
- 5d1ef913-5394-4ed0-9931-20cedcec4e2e description "VSM input file" assertion.
- 6479ef68-daff-4f6c-a809-d37ff31b2335 description "GNSS data of the Van earthquake" assertion.
- 691406e2-ec05-4cda-b974-c345a4b2c2bb description "Data - Model - Residuals with InSAR azimuth direction" assertion.
- 7cf834cb-1d58-4a8f-8f12-7e7c22d58b54 description "Jupyter Notebook for running the VSM code with geodetic data" assertion.
- 81feea17-cfd9-456a-ae70-fcb5d10aee72 description "Subsampled descending orbit ENVISAR data of the Van earthquake" assertion.
- 974091bf-8775-46d4-b9d1-220b0c6811cc description "Subsampled descending orbit Cosmo-Skymed data of the Van earthquake" assertion.
- 9ca4b563-9c60-461c-969d-0424189b6c98 description "Data - Model - Residuals with InSAR descending data" assertion.
- a8c59911-6d74-4a15-9129-1c6320c9b74e description "VSM code - Research Object" assertion.
- ce25481c-812f-4dc5-8819-a015871495bc description "Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR Data and Numerical Modeling - by E. Trasatti, C. Tolomei, G. Pezzo, S. Atzori, S. Salvi Rem. Sens., 2016. https://doi.org/10.3390/rs8060532" assertion.
- d6fd480f-eef3-427a-895e-871d7b4e5a48 description "Data - Model - Residuals with InSAR ENVISAT descending orbit" assertion.
- 51daf908-532a-4e36-b7fc-9902de63f694 description "This Research Object has been created using the Reliance services. It aggregates results from the VSM run, related to the modelling of the coseismic deformation due to the Van earthquake (Turkey) of 23 October 2011. The geodetic dataset consists of InSAR slant and azimuth range measurements from COSMO-Skymed satellite, descending orbit ENVISAT data, and GNSS data. The forward model used is Okada (1985)." assertion.
- 531104de-d5d5-47bc-bca3-55b0a2c7c495 description "Data - Model - Residuals with InSAR azimuth direction" assertion.
- a74d0cde-ec98-4584-a7f4-4f7232d2c0af description "Data - Model - Residuals with InSAR descending data" assertion.
- efaec573-8bcf-490e-86ef-36b204e875c9 description "Data - Model - Residuals with InSAR ENVISAT descending orbit" assertion.
- 532 description "Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR Data and Numerical Modeling - by E. Trasatti, C. Tolomei, G. Pezzo, S. Atzori, S. Salvi Rem. Sens., 2016. https://doi.org/10.3390/rs8060532" assertion.
- content description "Jupyter Notebook for running the VSM code with geodetic data" assertion.
- 426b7f67a573ef34b110940437ed4ac9chbc69 description "VSM input file" assertion.
- 8988693c09e1d7207a952d39e3a70b23ch8dbe description "Subsampled descending orbit Cosmo-Skymed data of the Van earthquake" assertion.
- 980e8441348fd986f8f503148ea16838ch4b74 description "Subsampled azimuth direction Cosmo-Skymed data of the Van earthquake" assertion.
- ac4452cb8bc8b1dc987d83bd6939a246ch553a description "GNSS data of the Van earthquake" assertion.
- c6c4bc4e622ceb1cacee0b378e455338ch9b36 description "Subsampled descending orbit ENVISAR data of the Van earthquake" assertion.
- a25c47c7-f4dd-44d2-be2c-ab74b6a99070 description "This Research Object contains results from the run of the VSM code, related to the modelling of the inflation phase at Santorni during 2011-2012. The forward model is a spheroidal source arbitrary oriented in space. Input data are InSAR and GNSS data. This RO has been created using the Reliance services." assertion.
- d2ed7ad9-ce15-4cf8-80e8-0e2d6e9f443a description "Data - Model - Residuals with InSAR descending data" assertion.
- t83f-5t97 description "Research Object containing the details on the VSM Python tool" assertion.
- content description "Jupyter Notebook for running the VSM code with geodetic data" assertion.
- 260ca90cbcafbeb16566e4d2c29c6bf1chaf80 description "VSM input file" assertion.
- 49d62701a12530804aca9486cec01fe6ch33d0 description "GNSS data from 2011-2012 at Santorini (Greece)" assertion.
- dfdc97a96d6bc5322167aca4449a71d1ch6a9a description "Subsampled descending ENVISAT data from 2011-2012 at Santorini (Greece)" assertion.
- bf3d5a76-1be0-4221-8ee0-b3cb40faf6f7 description "Volcanic and Seismic source Modelling (VSM) is an open source Python tool to model ground deformation detected by satellite and terrestrial geodetic techniques. The VSM tool allows the user to choose one or more geometrical sources as forward model among sphere, spheroid, ellipsoid, fault, and sill. It supports multiple datasets from most satellite and terrestrial geodetic techniques: interferometric SAR, GNSS, levelling, Electro-optical Distance Measuring, tiltmeters and strainmeters. Two sampling algorithms are available, one is a global optimization algorithm based on the Voronoi cells and the second follows a probabilistic approach to parameters estimation based on the Bayes theorem. VSM can be executed as Python script, in Jupyter Notebook environments or by its Graphical User Interface. Version 1.0 April 2022. For any inquires, please write to elisa.trasatti@ingv.it" assertion.
- 8c18a91f-f196-4b0f-a95c-f6c290917747 description "License of use of VSM" assertion.
- ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef description "The research object refers to the Sea ice forecasting using IceNet notebook published in the Environmental Data Science book." assertion.
- b2a89d93-389e-4b18-8c66-c918d1826518 description "A demo given at the 3RD ESFRI-EOSC WORKSHOP ON RIS AND EOSC to show what the RELIANCE project has achieved on Open Science, FAIR and EOSC practice. Click on the links in the Research Object to access its different elements. The main resource of this Research Object is a video published on zenodo: https://doi.org/10.5281/zenodo.5906803" assertion.
- 54600d5f-9b3e-4b92-b399-df9226ec58c1 description "Folder where we will add links to documentation." assertion.
- b1e949bf-0514-4945-9fc9-8cbf89e96e4a description "Outputs generated" assertion.
- 62de154d-3a95-48f8-bd80-4e4f4b88f2a7 description "This figure shows all the services used within the RELIANCE project and how they are used together to build a user environment for Open Science and FAIR" assertion.
- ed4e6aa2-9db8-452d-9301-ba1606361034 description "NICEST-2 is the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools and it focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives. It builds on previous efforts within NICEST (a 3-year NeIC project as of 2017-01) and NordicESM (3-year NordForsk funded project from 2014-12). NICEST2 activities include: 1) Enhance the performance and optimize and homogenize workflows used, so climate models (like EC-EARTH and NorESM) can be run in an efficient way on future computing resources (like EuroHPC); 2) Widen the usage and expertise on evaluating Earth System Models and develop new diagnostic modules for the Nordic region within the ESMValTool; 3)Create a roadmap for FAIRification of Nordic climate model data." assertion.
- 4ed7f241-959a-41e5-bfb8-a4d53d3d1fa6 description "Initial Collaboration agreement for the NICEST2 project" assertion.
- 9ea437fd-1af0-4a1d-bc68-7af1c3bed34a description "Achievements of the NeIC NICEST2 project at the beginning of January 2022. This slide is part of a presentation that has been shown during the NeIC AHM22." assertion.
- a51d3ea3-89a6-443b-8d22-06f4c3ec71ee description "Business Case for the NICEST2 project." assertion.
- cc821096-f0f1-4a81-afd2-e311c899250c description "The submitted project proposal for the NICEST2 project." assertion.
- fd0ced6b-bfec-49bd-99b8-cb2db9f5c3f9 description "NICEST2 project plan. Please note that some changes may have been agreed during the course of the project." assertion.
- e919cbc4-2b0c-466a-a92f-9d5db1179301 description "NICEST-2 is the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling Tools and it focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives. It builds on previous efforts within NICEST (a 3-year NeIC project as of 2017-01) and NordicESM (3-year NordForsk funded project from 2014-12). NICEST2 activities include: 1) Enhance the performance and optimize and homogenize workflows used, so climate models (like EC-EARTH and NorESM) can be run in an efficient way on future computing resources (like EuroHPC); 2) Widen the usage and expertise on evaluating Earth System Models and develop new diagnostic modules for the Nordic region within the ESMValTool; 3)Create a roadmap for FAIRification of Nordic climate model data." assertion.
- 3bcbf678-1c05-4939-8d41-880ef38061a6 description "NICEST2 project plan. Please note that some changes may have been agreed during the course of the project." assertion.
- 8f0ac9fc-f038-4bda-b57d-8460b422b88b description "Achievements of the NeIC NICEST2 project at the beginning of January 2022. This slide is part of a presentation that has been shown during the NeIC AHM22." assertion.
- 95b38dd2-7b6b-410e-9240-00636de7bfdb description "Business Case for the NICEST2 project." assertion.
- b993ee08-9d3a-42ea-b754-ae2ae805b3a2 description "Initial Collaboration agreement for the NICEST2 project" assertion.
- eb47d474-f350-4c3f-b543-e22ce008bd16 description "The submitted project proposal for the NICEST2 project." assertion.
- stable description "Link to the online JupyterLab documentation." assertion.
- stable description "Link to the online JupyterLab documentation." assertion.
- stable description "Link to the online JupyterLab documentation." assertion.
- docker-pangeo-notebook description "These docker images (different tags) correspond to the docker images built for Galaxy Pangeo JupyterLab. The docker images can be used within Galaxy and as standalone docker images. You can use the same images we use in Galaxy on your local computer or any other platform: 1. Pull an existing image locally docker pull quay.io/nordicesmhub/docker-pangeo-notebook 2. Run a pre-build image from docker registry 3. To start your JupyterLab: docker run -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-notebook and you will top open a new terminal and start your favorite web browser. your running Jupyter Notebook instance on http://localhost:7777/ipython/. Remark: for reproducibility purpose, we suggest you use a specific tag e.g. docker pull quay.io/nordicesmhub/docker-pangeo-notebook:1c0f66b Then use the same tag when starting your JupyterLab application: docker run -p 7777:8888 quay.io/nordicesmhub/docker-pangeo-notebook:1c0f66b" assertion.
- docker-pangeo-notebook description "This github repository contains all the sources required for building the docker containers that are made available in Quay Container Registry." assertion.
- 9c3bfd43-7e4f-4073-8735-f280ad4ab419 description "This Jupyter Docker container is used by the Galaxy Project. It is based on Pangeo notebook docker image (https://github.com/pangeo-data/pangeo-docker-images) and contained a few additional packages required for Galaxy (to exchange data, etc.)." assertion.
- 485cceaf-55f0-4915-944d-b1cbcccbd283 description "Default Jupyter Notebook used when starting Galaxy Climate JupyterLab if no other Jupyter Notebook is passed by the user." assertion.
- b2952190-8eb5-473c-be43-16eec919bfa2 description "This is a gif animated image showing how to start the Galaxy Pangeo JupyterLab in Galaxy Europe. In this video, we pass an input file (this file will be imported in the Jupyter Notebook /import folder)." assertion.
- cb076b25-1ae2-4b1d-8ed0-8875c5463e55 description "This is the Galaxy Pangeo JupyterLab tool wrapper used by Galaxy to start the Galaxy Pangeo JupyterLab on a Galaxy instance." assertion.