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Titlebook: Quantitative Methods in Environmental and Climate Research; Michela Cameletti,Francesco Finazzi Conference proceedings 2018 Springer Natur

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A Novel Hierarchical Multinomial Approach to Modeling Age-Specific Harvest Data, our methodology avoids expensive radiotelemetry studies, we argue through simulation and case studies that it provides a flexible modeling alternative to analysing age-specific harvest data for effective wildlife management.
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,Spatiotemporal Precipitation Variability Modeling in the Blue Nile Basin: 1998–2016,on. The finding reveals seasonal imbalance due to shift in Belg and Bega seasons. Results provides a new evidence on the relationship between BNB precipitation and natural forcing besides human-induced climate change.
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Conference proceedings 2018l and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone conce
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Modeling Spatiotemporal Mismatch for Aerosol Profiles,The horizontal smoothing impact on the uncertainty term between the satellite and the ground measurement of the aerosol layers is investigated. Nine different horizontal averaging schemes for the CALIPSO aerosol profiles are used in order to investigate the influence of horizontal smoothing of CALIPSO data when compared against the EARLINET data.
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A Spatiotemporal Approach for Predicting Wind Speed Along the Coast of Valparaiso, Chile,In this work we propose a spatio-temporal approach for predicting the wind speed nearby the coast of Valparaiso, Chile, by using the observations collected by some meteorological stations and the output of a Weather Research and Forecasting (WRF) model. A cross validation study is implemented for evaluating the performance of the model.
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