Results 221 to 230 of about 31,416 (255)

Observing system simulation experiments with multiple methods

Proceedings of SPIE, 2014
An observing System Simulation Experiment (OSSE) is a method to evaluate impacts of hypothetical observing systems on analysis and forecast accuracy in numerical weather prediction (NWP) systems. Since OSSE requires simulations of hypothetical observations, uncertainty of OSSE results is generally larger than that of observing system experiments (OSEs).
Toshiyuki Ishibashi
exaly   +2 more sources

Simulation of Atmospheric Motion Vectors for an Observing System Simulation Experiment

Journal of Atmospheric and Oceanic Technology, 2020
AbstractAn algorithm to simulate locations of atmospheric motion vectors for use in observing system simulation experiments is described and demonstrated. It is intended to obviate likely deficiencies in nature run data if used to produce images for feature tracking. The algorithm employs probabilistic functions that are tuned based on distributions of
Ronald M. Errico, David Carvalho, Nikki C. Privé, Meta Sienkiewicz   +3 more
openaire   +1 more source

Observing System Simulation Experiments

2010
Observing System Simulation Experiments (OSSEs) are typically designed to use data assimilation ideas (see chapter Mathematical Concepts in Data Assimilation, Nichols) to investigate the potential impacts of prospective observing systems (observation types and deployments).
Michiko Masutani, Thomas W. Schlatter, Ronald M. Errico, Ad Stoffelen, Erik Andersson, William Lahoz, John S. Woollen, G. David Emmitt, Lars-Peter Riishøjgaard, Stephen J. Lord   +9 more
openaire   +1 more source

Observing System Simulation Experiments for air quality

Atmospheric Environment, 2015
This review paper provides a framework for the application of the Observing System Simulation Experiment (OSSE) methodology to satellite observations of atmospheric constituents relevant for air quality. The OSSEs are experiments used to determine the potential benefit of future observing systems using an existing monitoring or forecasting system and ...
Timmermans, R.M.A., Lahoz, W.A., Attié, J.L., Peuch, V.H., Curier, R.L., Edwards, D.P., Eskes, H.J., Builtjes, P.J.H.   +7 more
openaire   +2 more sources

An Observing System Simulation Experiment for the Indian Ocean

Journal of Climate, 2007
AbstractAn integrated in situ Indian Ocean observing system (IndOOS) is simulated using a high-resolution ocean general circulation model (OGCM) with daily mean forcing, including an estimate of subdaily oceanic variability derived from observations. The inclusion of subdaily noise is fundamental to the results; in the mixed layer it is parameterized ...
Matthew J. Harrison, Gabriel A. Vecchi
openaire   +1 more source

An Observing System Simulation Experiment (OSSE) for Aerosols

2008
The hope to obtain real-time comprehensive two-dimensional or three-dimensional analysis or forecasts of air quality pollutants may be fulfilled by combination of model simulations and observations. Space-borne observations can be of particular interest for e.g. aerosols.
Timmermans, Renske, Schaap, Martijn, Segers, Arjo, Elbern, Hendrik, Siddans, Richard, Tjemkes, Stephen, Vautard, Robert, Builtjes, Peter   +7 more
openaire   +2 more sources

Fully Adaptive Remote Sensing Observing System Simulation Experiments

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Future observing systems simulation experiments (OSSEs) will need to be of increased sophistication to support emerging sensors that exploit parametric adaption, resource management in constrained environments, and the collaboration of distributed sensing nodes.
Graeme E. Smith, Adam E. Mitchell, Christopher D. Ball, Andrew O'Brien 0001, Joel T. Johnson   +4 more
openaire   +1 more source

Simulation Experiments for Meteorological Observing Systems for GARP1

Bulletin of the American Meteorological Society, 1972
The future observing system of the global atmosphere which has been contemplated for the Global Atmospheric Research Program (GARP) is a combination of various observing subsystems including satellites, constant-level balloons, automatic ocean buoys, etc., as well as conventional upper-air and surface networks.
openaire   +1 more source

Observing System Simulation Experiment for Remote Sensing of Snow at P-Band

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Recently, the Signal of Opportunity (SoOp) has been used in monitoring the snow pack from P-band. This technology makes use of existing satellite transmissions and become a cost-effective alternative to existing active technologies. The theoretical principle is based on the phase change of the reflected P-band signal to change in SWE.
Xiaolan Xu, Rashmi Shah, Simon Yueh, Steven A. Margulis   +3 more
openaire   +1 more source