Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- RELIANCE_Spain_NO2_month.html description "Jupyter Notebook (stored in Github) for discovering, accessing and processing RELIANCE data cube, and creating a Research Object with results, and finally publish it in Zenodo" assertion.
- RELIANCE_Spain_NO2_month.html 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.
- ee66eeb4-0b7e-4417-871e-fb9ddae286d9 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 NO2 over a given geographical area, here Spain" assertion.
- 82eefa74-fb0b-494f-aea7-2e79b4d89bfb description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- 9d6f477a-8d0f-48b1-8d76-29ff1ff92c9a description "Conda environment generated with conda-lock for linux-64" assertion.
- cb142325-6be2-4f06-a79c-cf77b9e5b4bf description "Conda environment generated with conda-lock for osx-64" assertion.
- ce6b72a6-5325-4af1-9c77-4089bd8cd4fa description "Conda environment used on EGI notebook on 02/05/2022" assertion.
- RELIANCE_Spain_NO2_month.ipynb description "Jupyter Notebook (stored in Github) for discovering, accessing and processing RELIANCE data cube, and creating a Research Object with results, and finally publish it in Zenodo" assertion.
- a369aaf0-06f7-441a-9a18-3b79b9d45f8e 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 NO2 over a given geographical area, here Spain" assertion.
- 2d3133b0-7e65-448f-8cd2-9fe5f0b43f64 description "Conda environment used on EGI notebook on 01/05/2022" assertion.
- a464af50-bf9e-41bf-af82-fc93b9a07205 description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- d3df9855-fc16-484b-b32d-d01d425c7f8f description "Conda environment generated with conda-lock for osx-64" assertion.
- e2435da5-5f05-4881-8d96-7e3f6abb6e54 description "Conda environment generated with conda-lock for linux-64" 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.
- 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.
- 00d23664c695cb6ce4c3f0438b1778f5ch5ad3 description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- 00d23664c695cb6ce4c3f0438b1778f5ch5ad3 description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- 2a9a7f334fe6e73f55bf83595d9aef84ch59d8 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in March 2019" assertion.
- 2a9a7f334fe6e73f55bf83595d9aef84ch59d8 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in March 2019" assertion.
- 35c15202651e9a56b5791ddd9897fb33chd796 description "netCDF data corresponding to daily average of CAMS Nitrogen Dioxide [µg m-3] over Spain for March 2019, March 2020 and March 2021" assertion.
- 35c15202651e9a56b5791ddd9897fb33chd796 description "netCDF data corresponding to daily average of CAMS Nitrogen Dioxide [µg m-3] over Spain for March 2019, March 2020 and March 2021" assertion.
- 50b107f60f369ff2414e679f6e411575ch4e1a description "Daily average maps of CAMS Nitrogen Dioxideµg m-3] over Spain on March 15, 2021" assertion.
- 50b107f60f369ff2414e679f6e411575ch4e1a description "Daily average maps of CAMS Nitrogen Dioxideµg m-3] over Spain on March 15, 2021" assertion.
- d7fb646b024a1d1f8b285f4ad9f313f6che876 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in March 2020" assertion.
- d7fb646b024a1d1f8b285f4ad9f313f6che876 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in March 2020" assertion.
- f79280441b0944a05a60c79f4cc3ef22che4a8 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in March 2021" assertion.
- f79280441b0944a05a60c79f4cc3ef22che4a8 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in March 2021" assertion.
- fa58b7afada92ccf75ff97d1db4c1febch82eb description "Geojson file used for retrieving data from the ADAM platform over Spain" assertion.
- fa58b7afada92ccf75ff97d1db4c1febch82eb description "Geojson file used for retrieving data from the ADAM platform over Spain" assertion.
- 2f4c4963-ba0f-4069-a211-988fb62006ef 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 NO2 over a given geographical area, here Spain" assertion.
- 5fb2de1b-7f4d-417a-8282-c9a6bd8ce821 description "Conda environment generated with conda-lock for linux-64" assertion.
- 6d99c455-e836-4094-9157-4007d558fccf description "Conda environment generated with conda-lock for osx-64" assertion.
- 8cdd8c9c-cc05-47e6-bda4-c50ba1095929 description "Conda environment used on EGI notebook on 01/05/2022" assertion.
- faf2af90-0919-4f58-8bb3-412e21cc07c6 description "Monthly average maps of CAMS Nitrogen Dioxide [µg m-3] over Spain in 2019, 2020 and 2021" assertion.
- content description "Jupyter Notebook of CAMS European air quality analysis from Copernicus Atmosphere Monitoring during the covid-19 pandemic with RELIANCE services - Applied over Spain and variable Nitrogen Dioxide." assertion.
- 3de1a9c0c965ae826fbda0b9b437a86cche668 description "netCDF data corresponding to daily average of CAMS Nitrogen Dioxide [kg m-3] over Spain for September 2019, September 2020 and September 2021" assertion.
- 489f00848111c8cbd499758e3b218325ch9898 description "Geojson file used for retrieving data from the ADAM platform over Spain" assertion.
- 6092cd7dbbce61c24786690b1769b107chd637 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in September 2020" assertion.
- 7b091439cbe2495e666055a7345d02e4chdbd6 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in September 2019" assertion.
- bae209d165d191dc2b35335df13dcf6fch07f4 description "Monthly average maps of CAMS Nitrogen Dioxide [kg m-3] over Spain in 2019, 2020 and 2021" assertion.
- d0e748d67d2b1321a993e797a5e32f89che6a4 description "Daily average of CAMS Nitrogen Dioxidekg m-3] over Madrid in September 2021" assertion.
- de7d41cb8f42cebeb7ccc182ab6f0822che597 description "Daily average maps of CAMS Nitrogen Dioxidekg m-3] over Spain on September 15, 2021" assertion.
- e00e6916d9c8dfe2fe1ae3d44b1ab4f5ch0283 description "This dataset is a data-Cube retrieved from the ADAM platform over Spain in September 2021" assertion.
- c2142845-3530-447b-9936-b1684a8f7776 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 NO2 over a given geographical area, here Spain" assertion.
- 8139c8a0-8537-4fb1-8c8c-ee6f11235301 description "Monthly average maps of CAMS Nitrogen Dioxide [kg m-3] over Spain in 2019, 2020 and 2021" assertion.
- 056d9dcb-cb4a-41bb-91fc-97ef3d0e8f6f 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 NO2 over a given geographical area, here Germany" assertion.
- 3413ab80-9a33-4e12-852a-36cf28865e6c description "Monthly average maps of CAMS Nitrogen Dioxide [kg 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.
- 2cd0ce095d1600326cb0b79aa2711bb4ch3919 description "Geojson file used for retrieving data from the ADAM platform over Germany" assertion.
- 31647d22887219d3f57b29b04d6eec29ch24a3 description "This dataset is a data-Cube retrieved from the ADAM platform over Germany in September 2021" assertion.
- 5302252f6741f5bdb5ac72b4ae6dd826chf3c8 description "netCDF data corresponding to daily average of CAMS Nitrogen Dioxide [kg m-3] over Germany for September 2019, September 2020 and September 2021" assertion.
- 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.
- 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.
- 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.
- 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.