ACM Gordon Bell Prize : awarded each year to recognize outstanding achievement in high-performance computing, and track the progress over time of parallel computing, with particular emphasis on rewarding innovation in applying high-performance computing to applications in science, engineering, and large-scale data analytics (https://awards.acm.org/bell)
CMIP : Coupled Model Inter-comparison Project (https://www.wcrp-climate.org/wgcm-cmip) : project set upo by the WCRP that aims at better understanding past, present and future climate changes arising from natural, unforced variability or in response to changes in radiative forcing in a multi-model context.
DEWG : Data Engineering Working Group : the objective of DEWG is to ensure maximum usability of the datasets produced within CCI, and cultivate tools for their access, discovery and manipulation, through common CCI data standards.
DL : Deep Learning
ECV : Essential Climate Variable
EO : Earth Observation
ESA : European Space Agency
HPC : High-Performance Computing
ICAS : International Computing for the Atmospheric Sciences
ICML : International Conference for researchers on Machine Learning (https://icml.cc/)
ML : Machine Learning
NCAR : National Center for Atmospheric Research (Boulder, Colorado, USA)
phi-lab (http://blogs.esa.int/philab/) : brand new division created at ESA to embrace New Space and became the catalyst for European based innovation within Earth Observation. phi-lab's mission is to accelerate the future of earth observation, by helping Europe’s earth observation and space researchers and companies adopt disruptive technologies and methods. phi-lab is now working with Artificial Intelligence (AI) on data from the Copernicus Programme, the Earth Explorer missions, cubesat satellites as well as drone and hyperspectral payload data and Virtual Reality. High-Altitude Pseudo-Satellites (HAPS), quantum technologies and distributed ledgers.