SUMMARY Geomagnetic data assimilation merges past and present-day observations of the Earth’s magnetic field with numerical geodynamo models results are used to initialize forecasts. We present a new ‘proxy model’ that can be test, or rapidly prototype, techniques for geomagnetic assimilation. The basic idea constructing proxy is capture conceptual difficulties one encounters when assimilating ...

We analyze the performance of a data-assimilation algorithm based on a linear feedback control when used with observational data that contains measurement errors. Our model problem consists of dynamics governed by the two-dimension incompressible Navier–Stokes equations, observational measurements given by finite volume elements or nodal points of the velocity field and measurement errors which...

The paper’s research purpose is to discuss the key firm-specific IT capability and its impact on the business value of IT. In the context of IT application in China, the paper builds research model based on Resource-Based View, this model describes how the partnership between business and IT management partially mediates the effects of IT infrastructure capability and managerial IT skills on th...

a Department of Physics and Meteorology, Indian Institute of Technology, Kharagpur-721302, India b Department of Agronomy, Purdue University, West Lafayette, IN, USA c Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, IN, USA d Division of Atmospheric Sciences, National Science Foundation, Arlington, VA 22230, USA e Office of Biological and Environmental Research,...

Lagrangian data arise from instruments that are carried by the flow in a fluid field. Assimilation of such data into ocean models presents a challenge due to the potential complexity of Lagrangian trajectories in relatively simple flow fields. We adopt a Bayesian perspective on this problem and thereby take account of the fully non-linear features of the

In this study, six Arctic sea ice thickness products are compared: the AVHRR Polar Pathfinder-extended (APP-x), ICESat, CryoSat-2, SMOS, NASA IceBridge aircraft flights, and the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS). The satellite products are based on three different retrieval methods: an energy budget approach, measurements of ice freeboard, and the relationship betwe...

Introduct ion Data assimilation is the process of combining our knowledge of a system, including both observations and dynamics, to produce estimates of the state of a system. The state of a system, or state variable, describes the physical, chemical, or biological environment. Real, four-dimensional systems are generally under-sampled. This is particularly true in the coastal marine environmen...

Companies in different countries have different corporate governance systems. One of the reasons is that the trade cost dealing in the society and other economic factors are different in different countries. View from this angle, corporate governance systems should have the value that can reduce the costs. However, observing the situations of corporate governance in the real society, we will fi...

Data assimilation is an important technique to improve simulation results by assimilating real time sensor data into a simulation model. A data assimilation framework based on Sequential Monte Carlo (SMC) methods for wildfire spread simulation has been developed in previous work. This paper provides systematic analysis and measurement to quantify the effectiveness and robustness of the develope...

Thousands of U.S. physicians have reached the first stage of “meaningful use” and received incentive payments through the HITECH Act. Yet doubts have surfaced about the sustainability of EHR diffusion, as well as about which providers will benefit from program incentives. In this paper we report the findings of a survey conducted among Hawaii physicians, in which we assessed the views of EHR ad...