Observations of river discharge have significantly reduced over the last 30 years. Although many national services continue observations of key rivers at key stations, the availability of these observations for the scientific community and for climate research is limited. Alternative methods of estimation and monitoring of river flow (modelling and satellite observations) have been rapidly developed to fill this gap. Hydrological modelling is a powerful tool giving insights at regional or basin scales; while satellites can provide worldwide observations. One of the widely used EO methods of discharge estimation is based on satellite altimetry. Altimetry provides reliable regular and weather-independent measurements of water height at a river cross-section. During the last two decades, several methods exploiting these measurements have been developed and tested worldwide on rivers of different size and morphology. Current presentation is dedicated to the review of the main methods and to assessment of the main factors affecting the accuracy of the EO discharge retrievals. Among the factors the satellite performance, the river scale, the character of the water regime and the channel morphology will be discussed.
The Tropospheric Ozone Assessment Report (TOAR) is an international activity involving more than 200 scientists, who summarize the state-of-research on tropospheric ozone, its global distribution and trends. Ozone is an important air pollutant with short and long-term impacts on human health, vegetation, and climate. The first phase of TOAR has recently been concluded. It produced 10 peer-reviewed articles in the open access journal Elementa – Science of the Anthropocene and one of the world’s largest collections of ground-level ozone measurements, which are freely available from the JSC web service https://join.fz-juelich.de. Over 30 independent follow-up publications have resulted from TOAR-I. Recently, TOAR began its second phase, aiming at an updated assessment in 2024. Again, this will be supported by JSC’s data infrastructure, but also through the development of new statistical methods and machine learning concepts, funded through the ERC Advanced Grant IntelliAQ. This talk will briefly summarize the main achievements of TOAR-I, introduce the enhanced TOAR data infrastructure under development at JSC and provide a glimpse into the machine learning activities of my Earth System Data Exploration group at JSC.
Application Deadline: 23rd Nov 2020
1st October 2020 the Universities of Bonn and Cologne and the Forschungszentrum Jülich founded the Center for Earth System Observation and Computational Analysis (CESOC)
address: Nussallee 17, D-53115 Bonn