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The mean residence times of chemical elements in the ocean are usually evaluated assuming that supply and removal rates are equal. In this note, a general approach is developed which removes the above restriction. Considering a time scale larger than the homogenization time of the ocean (>103 yr), the method allows evaluation of residence time distribution functions and of the corresponding moments.  相似文献   
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The well-known CO2 slicing technique which provides retrievals of cloud parameters (effective height and amount) is adapted in light of model validation using multispectral infrared sounders. The technique is applied to both real Atmospheric Infrared Sounder (AIRS) radiances and to corresponding radiances simulated from global 6 h and 12 h forecasts for the 31 days of July 2008. The forecast model is the one used operationally at the Canadian Meteorological Centre. Radiances are simulated from the Radiative Transfer for the Television and Infrared Observation Satellite (TIROS) Operational Vertical Sounder (RTTOV) model. When compared to model output of cloud parameters, simulated retrievals help us understand systematic biases linked to the retrieval technique. Systematic errors of interest, attributed to forecast cloud parameters, are then more clearly assessed from real retrievals. This is the central idea of this paper. The proposed definition of model cloud top, based on cloud transmittance, corresponds well to the height derived from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) instrument. These lidar-derived cloud heights, in turn, confirm the nature of the biases produced by the CO2 slicing technique (e.g., a negative bias increasing with height to about 2 km (approximately 50 hPa) for the highest clouds at 16 km (approximately 100 hPa)). Results suggest that the model has a tendency to produce an excess of low-level clouds below 2 km, compensated for by a deficit from 3 to 6 km. No significant differences are found between 6 h and 12 h forecast monthly fields, an indication that the model has sufficiently spun-up after a few hours. Retrieved global monthly cloud parameter fields are compared to independently derived products available from the Moderate Resolution Imaging Spectrometer (MODIS) and AIRS standard processing. Significant differences are noted, linked to the different retrieval approaches, input data and resolution. This is further evidence that, for validation purposes, definitions of observed and model parameters must be consistent.  相似文献   
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With a need for the management of petroleum contaminated sites on Romanian territory, an experimental software platform involving ESRI‐ArcGIS technologies (BIOREGIS) is presented in this study. The BIOREGIS platform is aimed to: (i) Build the structure of relational, standardized databases to store spatial and textual characteristic information on polluted sites for further risk analysis and planning of remediation actions, (ii) improve the pollution risk assessment methodology for Romanian petroleum contaminated sites and its informatics implementation, and (iii) develop and operate the software platform for pollution risk based management involving GIS/remote sensing technologies and remediation activities. The operation of BIOREGIS has been tested for a pilot contaminated area situated at Razvad – Dambovita County, which has been subjected to in situ remediation procedures involving both bioremediation and electrokinetic processes.  相似文献   
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