The European Climate Research Alliance is a bottom-up association of European research institutions helping to facilitate the development of climate change research, combining the capacities of national research institutions and inducing closer ties between existing national research initiatives, projects and infrastructures. This article briefly introduces the network's structure and organisation, as well as project management issues and prospects.

Freely and open distributed optical satellite images used to obtain bathymetric data for shallow waters based on timeseries analysis of multispectral Sentinel-2 datasets. The ratio transform algorithm was implemented for twelve monthly images covering a year. Bathymetric maps were generated and compared with LIDAR measurements. The results showed that bathymetry can be obtained from satellite data within a Root Mean Square Error while more accurate results were generated during the summer.

The use of medium resolution free-of-charge multi-spectral satellite imagery for purposes of flood extension and impact monitoring can be extremely valuable due to their ability to offer a remote access to information The authors propose a workflow that uses Copernicus Sentinel-2 data to provide the comparison changes firstly in the single relevant bands and successively in the indexes NDVI e NDWI, suitable for the estimation of water component.

We believe that software project management tools can support and improve the development of scientific software. Its integration in project management needs coordination and planning. In this paper, we discuss opportunities and possible limitations of recent software project management tools with respect to their application in scientific projects in geoscience and climate modelling.

The paper examines a machine learning algorithm (Random Forests) in comparison with Multivariate Linear Regression, for a data-set of 3500 transactions of residential apartments in Nicosia District in Cyprus. The methodology suggested, indicated high accuracy of the Random Forests Method, that can be applied in automated valuation models and CAMA systems.

Tropospheric delay comprises one of the most important error sources in satellite navigation and is caused when radio signals broadcasted by GPS satellites propagate into the atmosphere. This study aims to evaluate the tropospheric delay performance for GNSS integrated water vapor (IWV) estimation by using GPT2w model, ECMWF's IFS reanalysis model and ground meteorological data from two stations of the permanent network of Cyprus and Greece.

Marine scientific understanding is fundamental to managing human activities that affect this environment, and ocean observations have a particularly important role in enhancing the knowledge base of our oceans. Scientists have to act in an ethical way and apply all the fundamental principles. This article is an attempt to highlight the core values applicable to ocean observation, which can then be improved and adopted as part of geoethics and the stewardship of the Earth system.

Field spectroscopy has been used, in order to study possible differences in the spectral signatures of vegetation so to be used for the systematic monitoring of military landscapes that comprise underground military structures. In this paper, underground military structures over vegetated areas were monitored, using both ground and satellite remote sensing data. Several ground measurements have been carried out in military areas, throughout the phenological cycle of plant growth.

Geothermal resource is heat energy that can be recovered from underground in the Earth. As part of the European H2020 GEMex project, 3D geological models were constructed for the geothermal sites of Los Humeros and Acoculco in Mexico. These models allow a better understanding of the rock types and structure when targeting deep sources of geothermal energy; they will be updated during the project, serving as a framework for simulating the geothermal system.

The scientific objective is to find a simple understandable model linking human smart characteristics to a group of socio-demographic and urban environment indices, applied to the case of Limassol Urban Complex, Cyprus. The results reveal that the human smart characteristics are significantly correlated with demographic dynamics and built infrastructure characteristics. For instance creativity and open-mindedness appear in most densely urban areas.

We believe that project managers can benefit from using programming languages in their work. In this paper we show several simple examples of how python programming language can be used for some of the basic text manipulation tasks, as well as describe more complicated test cases using a HORIZON 2020 type European project as an example.