An Overview of European Union-Funded Project APPLICATE
This webinar provided an overview on the EU-Funded H2020 project APPLICATE, whose main goal is to advance our capability to predict the weather and climate in the Arctic and beyond. Ortega presents a few examples on the seasonal prediction activities carried out within the project. These included an analysis on how the different forecast errors are developed in the EC-Earth system, a multi-model comparison of predictive skill in all the seasonal forecast systems participating to the Consortium, results from empirical statistical models used for benchmarking, and experiments exploring the added-value of increasing both the atmospheric and oceanic resolution on seasonal prediction.
Pablo Ortega, Earth Science Department, Barcelona Supercomputing Center
Pablo Ortega is currently co-leading the Climate Prediction Group of the Barcelona Supercomputing Center. His research is focused on climate variability and predictability in the North Atlantic region, and he’s particularly interested in the role that both the ocean and sea ice play on climate prediction at seasonal-to-decadal timescales.
The webinar focused on one of NASA’s science objectives for the ICESat-2 altimetry mission—to provide observations to quantify changes and to add to previous satellite and airborne records of freeboard, thickness, and sea surface height of the ice-covered Arctic and Southern Oceans (e.g., from ICESat, Operation IceBridge, and CryoSat-2, etc.). ATLAS, a multi-beam photon-counting lidar, the sole instrument on the ICESat-2 observatory, launched in September 2018, provides a rich altimetric dataset of multiple profiles of the ice and ocean surfaces. In this talk, Ron Kwok talked about the capabilities of the multi-beam instrument based on data acquired thus far over the Arctic and Antarctic ice covers. In particular, he showed the precision in the retrieved surface heights over relatively flat surface, the spatial resolution of the height estimates, the time-varying freeboard estimates and sea surface height anomalies over a seasonal cycle, and assessments of the retrievals when compared with airborne and field acquisitions.
Webinar Presenters: Ron Kwok, NASA Jet Propulsion Laboratory and the ICESat-2 Team
Ron Kwok is a Senior Research Scientist at the Jet Propulsion Laboratory, California Institute of Technology, Pasadena California. His research interests include the mass and energy balance of the Arctic and Southern Ocean ice cover and the role of the sea ice in global climate, with current focus on the analysis of thickness, small-scale sea ice kinematics, time varying gravity from various spaceborne and airborne instruments.
An Overview of MOSAiC: The Multidisciplinary Drifting Observatory for the Study of Arctic Climate
This webinar will provide an overview of the interdisciplinary international MOSAiC program and ongoing work on the causes and consequences of an evolving and diminished Arctic sea ice cover. MOSAiC is a large interdisciplinary international program addressing an overarching question of "What are the causes and consequences of an evolving and diminished Arctic sea ice cover?" The centerpiece of MOSAiC is a year-long drift experiment from September 2019 to September 2020. In MOSAiC, models are being used to inform observations and observations will be used to enhance models. MOSAiC is taking an interdisciplinary approach with elements investigating the atmosphere, ice, ocean, ecosystem, and biogeochemistry. Observations will be conducted on three primary scales; the central observatory (5 km), the distributed network (50 km), and the large scale (1000s km).
Donald Perovich is a Professor at the Thayer School of Engineering, Dartmouth College. His research is focused on the geophysics of sea ice, with particular emphasis on electromagnetic, thermodynamic, and morphological properties. A central element of his work is observing and understanding the role of the sea ice albedo feedback in the Arctic climate system.
This webinar provided an overview of the SIPN2 main activities and an overview of the SIPN Data Portal for sea ice prediction. Uma Bhatt presented an overview of the SIPN2 project goals and an update on related activities to improve Arctic sea ice forecasts using a multi-disciplinary approach that includes modeling, new products, data analysis, and scientific networks. Cecilia Bitz presented an overview of the Data Portal for SIPN Forecasts project, funded by the Office of Naval Research and the development of products including model visualization and access to data processing. Time for participant questions will follow the presentation.
Uma S. Bhatt, University of Alaska Fairbanks, Geophysical Institute Cecilia Bitz, University of Washington, Program on Climate Change
Uma S. Bhatt, SIPN2 Principal Investigator (PI), is Chair of Atmospheric Sciences at University of Alaska Fairbanks, Geophysical Institute and Director of NOAA Cooperative Institute for Alaska Research (CIFAR). Her research on climate variability aims to understand how climate system components impact one another.
Cecilia Bitz, SIPN2 Leadership Team member, is a professor in the Atmospheric Sciences Department and Director of the Program on Climate Change and part of the Future of Ice Initiative, all at University of Washington. Her research interests include the role of sea ice in the climate system and high-latitude climate and climate change and global coupled climate modeling. Including integrations at very high resolution.