A unified modelling procedure is proposed to jointly interpret the variations observed in geophysical data and to properly take into account the relationship between the intrusive processes and the geophysical variations expected at the ground surface. We focus on the joint inversion of geophysical data by a procedure based on Artificial Neural Network (ANN) for the estimation of the volcanic s...

Method for geophysical parameter estimations with microwave radiometer data based on Simulated Annealing: SA is proposed. Geophysical parameters which are estimated with microwave radiometer data are closely related each other. Therefore simultaneous estimation makes constraints in accordance with the relations. On the other hand, SA requires huge computer resources for convergence. In order to...

296 A wellfield (Boise Hydrogeophysical Research Site or BHRS) is being developed in Boise, Idaho, for hydrologic and geophysical research in a shallow, coarse (cobble-and-sand), alluvial aquifer. Our goal is to develop cost-effective methods for quantitatively characterizing the distribution of permeability in heterogeneous alluvial aquifers using hydrologic and geophysical techniques. Respons...

[1] We develop a state-space Bayesian framework to combine time-lapse geophysical data with other types of information for quantitative estimation of biogeochemical parameters during bioremediation. We consider characteristics of end products of biogeochemical transformations as state vectors, which evolve under constraints of local environments through evolution equations, and consider time-la...

Julien Jumelet, Slimane Bekki, Christine David, Philippe Keckhut, G. Baumgarten. Size distribution time series of a polar stratospheric cloud observed above Arctic Lidar Observatory for Middle Atmosphere Research (ALOMAR) (69N) and analyzed from multiwavelength lidar measurements during winter 2005. Journal of Geophysical Research: Atmospheres, American Geophysical Union, 2009, 114, pp.D02202. .

The paper presents interesting data on a critical issue: estimation of carbon stocks of tropical peatlands. However, the paper, as currently written, is not well structured for Biogeoscience discussion. It is too technical and focused on the geophysical methods. The paper should be restructured and extended for a publication in Biogeoscience discussions or sent to another journal more focused o...

Todd Faulkner is a staff scientist with ENSCO, Inc. and has 12 years experience in geophysical signal processing and development of geolocation technologies. His areas of interest include optimal estimation, signal processing and novel applications of inertial navigation technologies. Mr. Faulkner obtained his B.S. in Geophysical Engineering from Colorado School of Mines in 1998. Faulkner.todd@...

The application of the proposed criterion to various digital geophysical records has provided satisfactory results. The method is well suited to geophysical signals because they often have a remarkable Markovian character in the broader sense, i.e. the autocovariances have values decreasing roughly exponentially as the time lags increase. Computer simulations on mathematically defined time seri...