Results 61 to 70 of about 1,031,036 (328)

Development of CO2 Band-Based Cloud Emission and Scattering Indices and Their Applications to FY-3D Hyperspectral Infrared Atmospheric Sounder

open access: yesRemote Sensing, 2020
The Hyperspectral Infrared Atmospheric Sounder (HIRAS) onboard the Feng Yun-3D (FY-3D) satellite is the first Chinese hyperspectral infrared instrument.
Xinlu Xia, Xiaolei Zou
doaj   +1 more source

On sequential multiscale inversion and data assimilation [PDF]

open access: yes, 2018
Multiscale approaches are very popular for example for solving partial differential equations and in many applied fields dealing with phenomena which take place on different levels of detail.
Nadeem, Aamir   +2 more
core   +1 more source

Fundamentals of Data Assimilation [PDF]

open access: yes, 2016
Abstract. This article lays out the fundamentals of data assimilation as used in biogeochemistry. It demonstrates that all of the methods in widespread use within the field are special cases of the underlying Bayesian formalism. Methods differ in the assumptions they make and information they provide on the probability distributions used in Bayesian ...
Peter Rayner   +2 more
openaire   +3 more sources

Conditions for successful data assimilation [PDF]

open access: yesJournal of Geophysical Research: Atmospheres, 2013
We show, using idealized models, that numerical data assimilation can be successful only if an effective dimension of the problem is not excessive. This effective dimension depends on the noise in the model and the data, and in physically reasonable problems, it can be moderate even when the number of variables is huge.
Matthias Morzfeld   +3 more
openaire   +5 more sources

Data assimilation for plume models [PDF]

open access: yesNonlinear Processes in Geophysics, 2005
Abstract. We use a four-dimensional variational data assimilation (4D-VAR) algorithm to observe the growth of 2-D plumes from a point heat source. In order to test the predictability of the 4D-VAR technique for 2-D plumes, we perturb the initial conditions and compare the resulting predictions to the predictions given by a direct numerical simulation ...
Alain Vincent   +6 more
openaire   +6 more sources

Seasonal forecasting of subsurface marine heatwaves

open access: yesCommunications Earth & Environment, 2023
Marine heatwaves damage marine ecosystems and services, with effects identified mostly below the ocean surface. To create a truly user-relevant detection system, it is necessary to provide subsurface forecasts.
Ronan McAdam   +2 more
doaj   +1 more source

Data assimilation in a multi-scale model [PDF]

open access: yes, 2017
Data assimilation for multi-scale models is an important contemporary research topic. Especially the role of unresolved scales and model error in data assimilation needs to be systematically addressed.
Anderson   +50 more
core   +1 more source

Accessible ecophysiological tools for seabird conservation

open access: yesAquatic Conservation: Marine and Freshwater Ecosystems, Volume 32, Issue 12, Page 1983-2002, December 2022., 2022
Abstract Seabirds are the most endangered avian taxa on Earth, with over a third of species globally threatened. To help slow their decline, conservation physiology seeks to determine how seabird responses to climatic and anthropogenic threats influence demographic processes, but it is not widely utilized in monitoring.
Edin A. Whitehead, Brendon J. Dunphy
wiley   +1 more source

A multiscale method for data assimilation [PDF]

open access: yesComputational Geosciences, 2018
In data assimilation problems, various types of data are naturally linked to different spatial resolutions (e.g., seismic and electromagnetic data), and these scales are usually not coincident to the subsurface simulation model scale. Alternatives like upscaling/downscaling of the data and/or the simulation model can be used, but with potential loss of
Hadi Hajibeygi   +3 more
openaire   +6 more sources

Super-resolution data assimilation

open access: yesOcean Dynamics, 2022
AbstractIncreasing model resolution can improve the performance of a data assimilation system because it reduces model error, the system can more optimally use high-resolution observations, and with an ensemble data assimilation method the forecast error covariances are improved.
Sébastien Barthélémy   +3 more
openaire   +4 more sources

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