Currently we speak of the ‘golden age’ of Earth Observation (EO). Not only can we access a variety of data from heritage and current EO missions serving scientific and operational needs, new systems for monitoring our blue planet are constantly being planned, built, and sent into the Earth orbit. Regarding atmospheric science, a major step …
The first of a series of global maps aimed at quantifying change in carbon stored as biomass across the world’s forests and shrublands has been released by ESA’s Climate Change Initiative at COP25 – the United Nation Climate Change Conference currently taking place in Madrid. Read the full story.
Empirical algorithms using satellite observed salinity from SMOS and Aquarius, as well as CCI SST, have been demonstrated to be suitable to calculate total alkalinity and total dissolved inorganic carbon, and reproduce the wider spatial patterns of these two variables. Improving our ability to monitor ocean carbonate chemistry has become a priority as the …
A recent study provides maps of man-made carbon dioxide anomalies around the globe. Carbon dioxide (CO2) is the most important anthropogenic greenhouse gas and its increase in the atmosphere is responsible for the global warming. CO2 is emitted into the atmosphere by the burning of fossil fuels. Satellite-based observations provide information on the concentration of …
Methane continues to increase in our atmosphere, and now researchers want to quantify the role of high Northern latitudes to this increase. Earth-observing satellites open the window to this remote, rapidly changing environment. Carbon cycle in the Arctic and boreal regions links strongly to the evolving cryosphere – ice, snow and frost. Especially natural methane …
Recent research by ESA Living Planet Fellow Marco Bellacicco in the frame of project PHYSIOGLOB gives new insights on how the choice of the regression method influences the derived bio-optical relationships in optical and satellite oceanographic studies. The authors compare the results obtained with diverse regression methods on the same bio-optical data set and quantify …
