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Spatial and Temporal Variability and Predictability of Rainfall

crop production in countries whose economy is largely depends on agriculture. The spatial and temporal distribution of rainfall is, thus, the;

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Rainfall

In this book, the authors present topical research in the study of the behaviour, forecasting and distribution of rainfall variability;

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The Mediterranean Sea

. The Mediterranean Sea: Temporal Variability and Spatial Patterns is a comprehensive volume that investigates the temporal and spatial;

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Rainfall-Induced Soil Slope Failure

with cracks and colluvium materials Stability evaluation methods based on probabilistic approaches The effect of spatial variability on;

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Rainfall-Induced Soil Slope Failure

with cracks and colluvium materials Stability evaluation methods based on probabilistic approaches The effect of spatial variability on;

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Space and Time in Geomorphology

article uses a data set to address between threshold variability in either a spatial or temporal context, and often both.;

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Rainfall Nowcasting Models for Early Warning Systems

of early warning systems for mitigating risks of landslide and floods. Special attention is given to spatial and temporal hydrological scales that;

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A Scientific Strategy for U.S. Participation in the GOALS (Global Ocean-Atmosphere-Land System) Component of the CLIVAR (Climate Variability and Predictability) Programme

Variability and Predictability) Programme is een boek van Global Ocean-Atmosphere-Land System Panel;

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Current and Future Trends of Rainfall Erosivity and Soil Erosion in Central Asia

well established, but spatial and temporal projections of future rainfall erosivity in a changing climate in Central Asia have not been;

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Annual Dynamics of Daylight Variability and Contrast

within the built environment. Perceptual qualities of daylight, such as contrast and temporal variability, are essential to our understanding;

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Modern Statistical Methods for Spatial and Multivariate Data

applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the;

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Land Degradation in the Dinder and Rahad Basins

The spatial and temporal variability of the hydro-climate as well as land use and land cover (LULC) changes are among the most challenging;

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Statistics for Spatio-Temporal Data

demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal;

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Nonlinear Climate Dynamics

Oscillation, Atlantic Multidecadal Variability, Dansgaard-Oeschger events, Pleistocene ice ages and climate predictability. This book will prove;

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Spatial and Temporal Distribution of Dengue. A Case Study of Lahore

Spatial and Temporal Distribution of Den is een boek van Anam Khalid;

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Observed Climate Variability and Change over the Indian Region

The objective of the book is to make a comprehensive documentation of the observed variability and change of the regional climate system;

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Rainfall

Science offers the most up-to-date knowledge on the fundamental and practical aspects of rainfall. Each chapter, self-contained and written by;

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European Trend Atlas of Extreme Temperature and Precipitation Records

variability) to obtain the extremes indices and temporal trends. The trend atlas provides an easy way to identify spatial patterns for a given time;

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Reasoning About Fuzzy Temporal And Spatial Information From The Web

This book comprehensively studies fuzzy temporal and spatial information, starting from the basics on fuzzy set theory and temporalspatial;

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Groundwater Fluxes Across Interfaces

and greenhouse gasses. Groundwater Fluxes Across Interfaces focuses on scientific challenges in (1) the spatial and temporal variability;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial;

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Flood Assessment

particularly challenging environment of small watersheds with mountainous terrain and high intensity/high variability rainfall.;

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Advances in Spatial and Temporal Databases

This book constitutes the refereed proceedings of the 15th International Symposium on Spatial and Temporal Databases, SSTD 2017, held;

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Natural Decadal Climate Variability

Natural decadal climate variability (DCV) and its interactions with anthropogenic climate change (ACC) are vitally important to understand;

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Geographical Information Retrieval in Textual Corpora

and temporal information indexing and retrieval in corpora of textual documents. Propositions for both spatial and temporal information;

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Flood Assessment

particularly challenging environment of small watersheds with mountainous terrain and high intensity/high variability rainfall.;

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