Each year, the Jet Propulsion Laboratory (JPL) Center for Climate Sciences (CCS), along with co-sponsors, the Keck Institute for Space Studies (KISS) at the California Institute of Technology (Caltech), and NASA’s Earth Science Division, assemble a new generation of climate scientists to engage with and learn from leading climate scientists from NASA, Caltech, and other universities and institutions. Applications are now being accepted through 30 April 2021 from science and engineering graduate students and postdocs to fill approximately 25 slots. The 2021 Summer School is currently planned as a virtual event from 9-13 August 2021, with the possibility of extending activities two days into the week prior or post.
Information about the school, as well as a link to apply can be found at https://climatesciences.jpl.nasa.gov/events/summer-school/about/. Students will participate in school activities via Webex and other meeting web platforms.
This annual event focuses on "Using Satellite Observations to Advance Climate Prediction". Students will explore how satellite observations can be used to understand the climate system and improve climate models.
Since about 10 years, EUMETSAT is systematically utilising the maintained unique archive of space-based observations collected by missions exploited by EUMETSAT and partners for the production of consistent fundamental climate data records through re-calibration of space-based observations and reprocessing of associated long series of physical variables and climate data records of geophysical essential climate variables. EUMETSAT contributed to several EU research projects ERA-CLIM, ERA-CLIM2, QA4ECV, FIDUCEO, and GAIA-CLIM making significant progress in the understanding of its own and third party instrument data and their usage in different applications. This includes data rescue, the detection and correction of artefacts and other long-term issues in instrument data time series, the estimation of uncertainties following metrological principles, the efficient production and delivery of climate data records as well as learning what it takes to bring data into usage, e.g., for deriving geophysical variables and for assimilation in global and regional reanalysis in the context of the Copernicus Climate Change Service. Results of the research projects, ongoing feedback from users and the EUMETSAT Member States, and upcoming new missions, such as the MTG and EPS-SG multi-satellite programmes and Copernicus missions, shape the evolution of EUMETSAT’s climate activities. The presentation reviews the scientific and technical achievements and lessons learnt and provides a prospect of future activities.
17 March 2021, 16:00
The geomagnetic field builds a shield around Earth that protects our atmosphere from severe intrusion of solar particles. The Earth’s magnetic field emerges from different sources in the Earth’s interior and in near Earth space, the latter resulting from the solar-terrestrial interaction themselves. Global coverage of magnetic observations is provided by low Earth orbiting satellites (LEO), such as by ESA’s magnetic mission Swarm. Together with other parameters they provide a comprehensive picture of the ionosphere, the ionized part of the upper atmosphere between 80-1000km. The ionosphere does not only host strong electric currents that rapidly change, it displays atmospheric waves that couple from below, and it is also subject to plasma irregularities that give rise to radio wave disturbances. Understanding the near-Earth environment is therefore of increasing importance to our modern society. Results from recent and new magnetic and ionospheric observations from LEO satellite missions like Swarm and GRACE-FO will be discussed.
Wednesdays - Winter term 2020/21
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