Results 61 to 70 of about 21,404,104 (365)

Hydrologic Data Assimilation [PDF]

, 2012
Information about hydrologic conditions is of critical importance to real-world applications such as agricultural production, water resource management, flood prediction, water supply, weather and climate forecasting, and environmental preservation. Improved hydrologic condition estimates are useful for agriculture, ecology, civil engineering, water ...
Paul R. Houser, Gabrielle De Lannoy, Jeffrey P. Walker   +2 more
openaire   +3 more sources

Seasonal forecasting of subsurface marine heatwaves

Communications 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, Simona Masina, Silvio Gualdi   +2 more
doaj   +1 more source

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, Anna M. Michalak, Frédéric Chevallier   +2 more
openaire   +3 more sources

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, Matthias Morzfeld, Alexandre J. Chorin, Alexandre J. Chorin   +3 more
openaire   +6 more sources

A Diagnostic Study on the Formation of Double Eyewalls of Typhoon Lekima (2019) Based on POES Microwave and GOES Infrared Observations

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
doaj   +1 more source

Super-resolution data assimilation

Ocean 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, Julien Brajard, Laurent Bertino, François Counillon   +3 more
openaire   +4 more sources

Data assimilation in a multi-scale model [PDF]

, 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, Anderson, Berner, Berry, Bonavita, Bonavita, Builtjes, Clayton, Courtier, Crommelin, Dalcher, Daley, Echevin, Ehrendorfer, Evensen, Fatkullin, Fisher, Franzke, Franzke, Gottwald, Grooms, Hamil, Haugen, Houtekamer, Hunt, Järvinen, Kalman, Kalman, Kalnay, Keppenne, Lorenc, Lorenz, Lorenz, Majda, Majda, Majda, Meng, Miller, Mitchell, Mitchell, Palmer, Pham, Rizzoli, Simmons, Toth, Var, Walker, Wang, Whitaker, Whitaker, Wilks   +50 more
core   +1 more source

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

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

The Onsager--Machlup functional for data assimilation [PDF]

, 2017
When taking the model error into account in data assimilation, one needs to evaluate the prior distribution represented by the Onsager--Machlup functional.
Sugiura, Nozomi
core   +3 more sources

Variational Data Assimilation via Sparse Regularization [PDF]

, 2013
This paper studies the role of sparse regularization in a properly chosen basis for variational data assimilation (VDA) problems. Specifically, it focuses on data assimilation of noisy and down-sampled observations while the state variable of interest ...
Ebtehaj, A. M., Foufoula-Georgiou, E., Lerman, G., Zupanski, M.   +3 more
core   +2 more sources