A Numerical Model For Short Term Sea Ice Forecasting In The Arctic
DOWNLOAD
Download A Numerical Model For Short Term Sea Ice Forecasting In The Arctic PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Numerical Model For Short Term Sea Ice Forecasting In The Arctic book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
A Numerical Model For Short Term Sea Ice Forecasting In The Arctic
DOWNLOAD
Author : Jan Leonhard Lieser
language : en
Publisher:
Release Date : 2004
A Numerical Model For Short Term Sea Ice Forecasting In The Arctic written by Jan Leonhard Lieser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Numerical analysis categories.
A Numerical Model For Short Dterm Sea Ice Forecasting In The Arctic
DOWNLOAD
Author : Jan Leonhard Lieser
language : en
Publisher:
Release Date : 2004
A Numerical Model For Short Dterm Sea Ice Forecasting In The Arctic written by Jan Leonhard Lieser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Sea Ice Analysis And Forecasting
DOWNLOAD
Author : Tom Carrieres
language : en
Publisher: Cambridge University Press
Release Date : 2017-10-05
Sea Ice Analysis And Forecasting written by Tom Carrieres and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Science categories.
A comprehensive overview of the science involved in automated prediction of sea ice, for sea ice analysts, researchers, and professionals.
Manual Of Short Term Sea Ice Forecasting
DOWNLOAD
Author : Walter I. Wittmann
language : en
Publisher:
Release Date : 1964
Manual Of Short Term Sea Ice Forecasting written by Walter I. Wittmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with Sea ice categories.
Seasonal To Decadal Predictions Of Arctic Sea Ice
DOWNLOAD
Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2013-01-03
Seasonal To Decadal Predictions Of Arctic Sea Ice written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-03 with Science categories.
Recent well documented reductions in the thickness and extent of Arctic sea ice cover, which can be linked to the warming climate, are affecting the global climate system and are also affecting the global economic system as marine access to the Arctic region and natural resource development increase. Satellite data show that during each of the past six summers, sea ice cover has shrunk to its smallest in three decades. The composition of the ice is also changing, now containing a higher fraction of thin first-year ice instead of thicker multi-year ice. Understanding and projecting future sea ice conditions is important to a growing number of stakeholders, including local populations, natural resource industries, fishing communities, commercial shippers, marine tourism operators, national security organizations, regulatory agencies, and the scientific research community. However, gaps in understanding the interactions between Arctic sea ice, oceans, and the atmosphere, along with an increasing rate of change in the nature and quantity of sea ice, is hampering accurate predictions. Although modeling has steadily improved, projections by every major modeling group failed to predict the record breaking drop in summer sea ice extent in September 2012. Establishing sustained communication between the user, modeling, and observation communities could help reveal gaps in understanding, help balance the needs and expectations of different stakeholders, and ensure that resources are allocated to address the most pressing sea ice data needs. Seasonal-to-Decadal Predictions of Arctic Sea Ice: Challenges and Strategies explores these topics.
Sea Ice Prediction Across Timescales And The Role Of Model Complexity
DOWNLOAD
Author : Lorenzo Zampieri
language : en
Publisher:
Release Date : 2020
Sea Ice Prediction Across Timescales And The Role Of Model Complexity written by Lorenzo Zampieri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
In addition to observations and lab experiments, the scientific investigation of the Arctic and Antarctic sea ice is conducted through the employment of geophysical models. These models describe in a numerical framework the physical behavior of sea ice and its interactions with the atmosphere, ocean, and polar biogeochemical systems. Sea-ice models find application in the quantification of the past, present, and future sea-ice evolution, which becomes particularly relevant in the context of a warming climate system that causes the reduction of the Arctic sea ice cover. Because of the sea-ice decline, the navigation in the Arctic ocean increased substantially in the recent past, a trend that is expected to continue in the next decades and that requires the formulation of reliable sea-ice predictions at various timescales. Sea-ice predictions can be delivered by modern forecast systems that feature dynamical sea-ice models. The simulation of sea ice is at the center of this thesis: A coupled climate model with a simple sea-ice component is used to quantify potential impacts of a geoengineering approach termed "Arctic Ice Management"; the skill of current operational subseasonal-to-seasonal sea-ice forecasts, based on global models with a varying degree of sea-ice model complexity, is evaluated; and, lastly, an unstructured-grid ocean model is equipped with state-of-the-art sea-ice thermodynamics to study the impact of sea-ice model complexity on model performance. In chapter 2, I examine the potential of a geoengineering strategy to restore the Arctic sea ice and to mitigate the warming of the Arctic and global climate throughout the 21st century. The results, obtained with a fully coupled climate model, indicate that it is theoretically possible to delay the melting of the Arctic sea ice by ~60 years, but that this does not reduce global warming. In chapters 3 and 4, I assess the skill of global operational ensemble prediction systems in forecasting the evolution of the Arctic and Antarctic sea-ice edge position at subseasonal timescales. I find that some systems produce skillful forecasts more than 1.5 months ahead, but I also find evidence of substantial model biases and issues concerning data assimilation and model formulation. Chapter 5 deals with the impact of sea-ice model complexity on model performance. I present a new formulation of the FESOM2 sea-ice/ocean model with a revised description of the sea-ice thermodynamics, including various parameterizations of physical processes at the subgrid-scale. The model formulation grants substantial modularity in terms of sea-ice physics and resolution. The new system is used for assessing the impact of the sea-ice model complexity on the FESOM2 performance in different atmosphere-forced setups with a specific parameter-tuning approach and a special focus on sea-ice related variables. The results evidence that a more sophisticated model formulation is beneficial for the model representation of the sea-ice concentration and snow thickness, while less relevant for sea-ice thickness and drift. I also highlight a dependence of the model performance on the atmospheric forcing product used as boundary conditions. In the final part of this thesis, I formulate recommendations for future developments in the field of sea-ice modeling, with particular emphasis on FESOM2 and, more generally, on the modeling infrastructure under development at the Alfred Wegener Institute.
Numerical Prediction Of The Thermodynamic Response Of Arctic Sea Ice To Environmental Changes
DOWNLOAD
Author : G. A. Maykut
language : en
Publisher: Santa Monica, Calif. : Rand
Release Date : 1969
Numerical Prediction Of The Thermodynamic Response Of Arctic Sea Ice To Environmental Changes written by G. A. Maykut and has been published by Santa Monica, Calif. : Rand this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Arctic regions categories.
A description is given of a one-dimensional model of Arctic sea ice. The inputs are: albedo, incoming radiation, turbulent fluxes, oceanic heat flux, ice salinity and snow accumulation. Given an arbitrary initial ice temperature field and ice thickness, the model predicts the changes in these wrought by specified environmental parameters. Annual variations in temperature and thickness are followed year by year until the pattern is stable, i.e., until either the ice disappears or the annual sequence of growth and depletion is repeated unchanged. Values predicted (using inputs based on the present climate) agree closely with field observations. Tables for 28 specified cases and annual charts for 25 are presented. In addition to showing annual growth and depletion of ice under normal and anomalous climates, results show mechanisms by which environmental conditions affect the ice. (Author).
Arctic Sea Ice Dynamics
DOWNLOAD
Author : Torge Martin
language : en
Publisher:
Release Date : 2007
Arctic Sea Ice Dynamics written by Torge Martin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Sea ice categories.
Improving Predictions Of Arctic Sea Ice Conditions Using Satellite Observations And Numerical Models
DOWNLOAD
Author : James Williams
language : en
Publisher:
Release Date : 2017
Improving Predictions Of Arctic Sea Ice Conditions Using Satellite Observations And Numerical Models written by James Williams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
"In this thesis, we develop and further the understanding of both observation-based statistical methods as well as numerical models for predicting sea-ice conditions in the Arctic Ocean. We present a novel seasonal forecasting method for predicting the summer sea-ice extent in the Arctic with a 4-6 month lead time. This method is based on the preconditioning effect that winter sea-ice dynamics have on the initial summer melt through changes to the sea-ice mass distribution. We find a 38% reduction in the hindcast error variance when compared to a baseline seasonal forecasting method which does not account for the interannual variability of the system. Next, we study the propagation of plastic waves in the commonly used viscous-plastic and elastic-viscous-plastic sea-ice models. We document that failure to resolve these waves is the source of first-order error in the sea-ice velocity, deformation and thickness fields which has previously been noted in the modelling community. Furthermore, we show that the IMplicit-EXplicit (IMEX) method can be used to alleviate the restriction the plastic waves impose on the model timestep when the simulation is solved implicitly. Finally, we study the effects of increasing the spatial resolution of the model on the simulated sea-ice thickness, velocity and deformation fields in the Viscous-Plastic model. We find that in idealized simulations, the sea-ice velocity increases towards an analytical solutions as the spatial resolution of the model is increased. We show that these changes occur due to a net reduction in energy dissipation due to friction in shear. Increasing the sea-ice strength in shear is a possible way to compensate for these effects. It is necessary to account for these effects in order to ensure that simulations become more accurate as models are run at higher spatial resolutions. " --
Application Of A Numerical Sea Ice Model To The East Greenland Area
DOWNLOAD
Author : W. B. Tucker
language : en
Publisher:
Release Date : 1982
Application Of A Numerical Sea Ice Model To The East Greenland Area written by W. B. Tucker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Greenland categories.