NP
Nonlinear Processes in Geosciences

Nonlinear Processes in Geosciences

When carbon emissions break nature: icebergs and their feedback to climate change

When carbon emissions break nature: icebergs and their feedback to climate change

The largest iceberg in the world, named A-76, about 170 km long and 25 km wide, is drifting away from the Ronne pack ice in Antarctica. A76, originally spotted by the British Antarctic Survey (BAS), a British polar research organization with a base nearby, will wander and melt in the Weddell Sea, according to a statement released Wednesday, May 20, by the European Space Agency. Several studies are ...[Read More]

#vEGU21 Networking events of the Nonlinear Processes in Geosciences (NP) Division

#vEGU21 Networking events of the Nonlinear Processes in Geosciences (NP) Division

The current COVID-19 situation has profoundly changed our daily lives and has also affected our way to perform and share research. In today’s world a lot of efforts have been made to minimize the impact of working from home and exchange thoughts with colleagues. As for last year the usual annual General Assembly of the European Geosciences Union (EGU) has been moved online. Thus, it will be virtua ...[Read More]

NPG Paper of the Month: “Ordering of trajectories reveals hierarchical finite-time coherent sets in Lagrangian particle data: detecting Agulhas rings in the South Atlantic Ocean”

NPG Paper of the Month: “Ordering of trajectories reveals hierarchical finite-time coherent sets in Lagrangian particle data: detecting Agulhas rings in the South Atlantic Ocean”

The February 2021 NPG Paper of the Month award goes David Wichmann and his co-authors for their paper “Ordering of trajectories reveals hierarchical finite-time coherent sets in Lagrangian particle data: detecting Agulhas rings in the South Atlantic Ocean“. Understanding the transport of tracers and particulates is an important topic in oceanography and in fluid dynamics in general. Th ...[Read More]

NPG Paper of the Month: “A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective”

NPG Paper of the Month: “A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective”

The January 2021 NPG Paper of the Month award goes to Olivier Pannekoucke and his co-authors for the paper “A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective“. In geophysics, forecasting is based on solving the equations of physics with the help of a computer. To calculate a forecast we need an initial conditi ...[Read More]