Catálogo de publicaciones - libros
Integrated Water Resources Management and Security in the Middle East
Clive Lipchin ; Eric Pallant ; Danielle Saranga ; Allyson Amster (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Environmental Management; Water Policy/Water Governance/Water Management; Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution; Popular Science in Nature and Environment; Environmental Economics; Economic Geography
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-1-4020-5984-1
ISBN electrónico
978-1-4020-5986-5
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer 2007
Cobertura temática
Tabla de contenidos
Retelling the Story of Water in the Middle East: Reflections on and about a Conversation at the Dead Sea
Stuart Schoenfeld; Eric Abitbol; Francesca de Châtel
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
- Retelling the Story of Water in the Middle East: Reflections on and about a Conversation at the Dead Sea | Pp. 1-29
Fresh Water in the Middle East and North Africa
David B. Brooks
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section I - Water Resources in the Middle East | Pp. 33-64
Water Development for Israel: Challenges and Opportunities
Sinaia Netanyahu
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section I - Water Resources in the Middle East | Pp. 65-72
Water and Security in Jordan
Samer A. Talozi
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section I - Water Resources in the Middle East | Pp. 73-98
Water and Security for Palestine
Alice Gray; Jane Hilal
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section I - Water Resources in the Middle East | Pp. 99-117
Environment and Security in the Middle East: Conceptualizing Environmental, Human, Water, Food, Health and Gender Security
Hans Günter Brauch
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section II - Policy and Management Options | Pp. 121-161
Hydro-Diplomacy: Opportunities for Learning from an Interregional Process
Úrsula Oswald Spring
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section II - Policy and Management Options | Pp. 163-200
Perspectives on Alternative Water Sources in Europe and the Middle East
Paul Jeffrey
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section II - Policy and Management Options | Pp. 201-211
International Water Law and Implications for Cooperative Israeli-Palestinian Transboundary Water Management
Alon Tal
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section II - Policy and Management Options | Pp. 213-236
Engendering Water in the Middle East: Some Preliminary Thoughts
Eva M. Rathgeber; Pnina Motzafi-Haller
The Earth’s climate has traditionally been studied by statistical analysis of observations of particular weather elements such as temperature, wind and rainfall. Climatological information, usually expressed as long-term averages and variability, is then presented over a geographical area or at a single location and time series of these quantities or of the observations themselves are examined for evidence of warming, more-frequent severe storms, and so on.
A powerful new approach to climate analysis has emerged in recent years. It applies the tools and techniques of modern everyday weather forecasting in a process called reanalysis. The products, reanalyses, have applicability far beyond that of traditional climate information. Reanalyses have become established as an important and widely utilized resource for the study of atmospheric and oceanic processes and predictability also over the data sparse polar regions. They are used in a range of applications that require a comprehensive record of the state of either the atmosphere or its underlying land and ocean surfaces. The reanalysis products, unlike their operational counterparts, do not suffer from inhomogeneities introduced by changes in the data assimilation system. Thus they are in principle better suited for use in studies of low frequency variability and climate trends that complement studies of climate change based on individual instrumental records and climate-model simulations.
Climate quality requirements can be met by reanalyses for the decades with good upper-air data coverage by satellites or at least radiosonde data. The possibility of extending reanalyses to cover earlier periods when only surface observations are available in reasonable numbers (e.g., from the 1850s to the 1930s) is nevertheless of interest, and has been explored in pilot studies comparing analyses with good coverage of satellite and other upper-air data with analyses using only surface-pressure observations.
Section II - Policy and Management Options | Pp. 237-250