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Advances in Meteorology, 2015 In this study, Observing System Simulation Experiments (OSSEs) are conducted to analyze the impact of assimilating surface sensitive infrared radiance observations over land and sea ice. This type of assimilation has not yet been successfully implemented
S. K. Dutta, L. Garand, S. Heilliette
doaj +1 more source
On sequential multiscale inversion and data assimilation [PDF]
, 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
The Assimilation of Envisat data (ASSET) project [PDF]
Atmospheric Chemistry and Physics, 2006 Abstract. This paper discusses the highlights of the EU-funded "Assimilation of Envisat data" (ASSET) project, which has involved assimilation of Envisat atmospheric constituent and temperature data into systems based on Numerical Weather Prediction (NWP) models and chemical transport models (CTMs).
Quentin Errera +21 more
openaire +14 more sources
Earth and Space Science, 2023 Microwave observations of brightness temperature (TB) from multiple polar‐orbiting operational environmental satellite imagers and infrared observations of geostationary operational environmental satellite Himawari‐8 imager are used to investigate ...
Yanyang Hu, Xiaolei Zou
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Bias Characteristics of COSMIC RO Data within Clouds Based on Different Background Fields
Gaoyuan qixiang, 2023 The Global Constellation Observing System for Meteorology， Ionosphere， and Climate （COSMIC） radio occultation （RO） from 2007 to 2009 were collocated with the CloudSat nadir-pointing cloud profiling radar （CPR） in time and space in this study.We ...
Yan’an YIN, Shengpeng YANG
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Fundamentals of Data Assimilation [PDF]
, 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
Data assimilation for plume models [PDF]
Nonlinear 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
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Remote 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
Accessible ecophysiological tools for seabird conservation
Aquatic 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
Conditions for successful data assimilation [PDF]
Journal 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 +6 more sources