Author:
Publisher:
ISBN:
Category : Tropical meteorology
Languages : en
Pages : 280
Book Description
Extended Abstracts of Papers Presented at the MSJ/JMA/WMO/AMS Regional Scientific Conference on Tropical Meteorology
Author:
Publisher:
ISBN:
Category : Tropical meteorology
Languages : en
Pages : 280
Book Description
Publisher:
ISBN:
Category : Tropical meteorology
Languages : en
Pages : 280
Book Description
National Research Work in Tropical Meteorology
Meteorological and Geoastrophysical Abstracts
Author:
Publisher:
ISBN:
Category : Atmospheric chemistry
Languages : en
Pages : 952
Book Description
Publisher:
ISBN:
Category : Atmospheric chemistry
Languages : en
Pages : 952
Book Description
Mesoscale Meteorological Modeling
Author: Roger A. Pielke
Publisher: Elsevier
ISBN: 008092526X
Category : Science
Languages : en
Pages : 625
Book Description
To effectively utilize mesoscale dynamical simulations of the atmosphere, it is necessary to have an understanding the basic physical and mathematical foundations of the models and to have an appreciation of how a particular atmospheric system works. Mesoscale Meteorological Modeling provides such an overview of mesoscale numerical modeling. Starting with fundamental concepts, this text can be used to evaluate the scientific basis of any simulation model that has been or will be developed. Basic material is provided for the beginner as well as more in-depth treatment for the specialist. This text is useful to both the practitioner and the researcher of the mesoscale phenomena.
Publisher: Elsevier
ISBN: 008092526X
Category : Science
Languages : en
Pages : 625
Book Description
To effectively utilize mesoscale dynamical simulations of the atmosphere, it is necessary to have an understanding the basic physical and mathematical foundations of the models and to have an appreciation of how a particular atmospheric system works. Mesoscale Meteorological Modeling provides such an overview of mesoscale numerical modeling. Starting with fundamental concepts, this text can be used to evaluate the scientific basis of any simulation model that has been or will be developed. Basic material is provided for the beginner as well as more in-depth treatment for the specialist. This text is useful to both the practitioner and the researcher of the mesoscale phenomena.
Journal of the Meteorological Society of Japan
Author: Nihon Kishō Gakkai
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 1226
Book Description
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 1226
Book Description
Report of the First Meeting of the Steering Committee for Long-term Asian Monsoon Studies (TMP Project M2), (New Delhi, 14-16 December 1983).
Soil-climate Relationships on Crop Production in Malaysia
Author: Mok Chak Kim
Publisher:
ISBN:
Category : Crop yields
Languages : en
Pages : 214
Book Description
Publisher:
ISBN:
Category : Crop yields
Languages : en
Pages : 214
Book Description
Guide on the Global Data-processing System
Author: World Meteorological Organization
Publisher: World Meteorological Organization
ISBN:
Category : Meteorology
Languages : en
Pages : 214
Book Description
Publisher: World Meteorological Organization
ISBN:
Category : Meteorology
Languages : en
Pages : 214
Book Description
Manual on Codes
Author: World Meteorological Organization
Publisher:
ISBN:
Category : Cipher and telegraph codes
Languages : en
Pages : 574
Book Description
Publisher:
ISBN:
Category : Cipher and telegraph codes
Languages : en
Pages : 574
Book Description
Handbook of Hydrometeorological Ensemble Forecasting
Author: Qingyun Duan
Publisher: Springer
ISBN: 9783642399244
Category : Science
Languages : en
Pages : 0
Book Description
Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorological elements -- including precipitation, temperature, humidity, soil moisture, river discharge, groundwater, etc.-- at different space and time scales. Such forecasts form an important scientific basis for informing public of natural hazards such as cyclones, heat waves, frosts, droughts and floods. Traditionally, and at most currently operational centers, hydrometeorological forecasts are deterministic, “single-valued” outlooks: i.e., the weather and hydrological models provide a single best guess of the magnitude and timing of the impending events. These forecasts suffer the obvious drawback of lacking uncertainty information that would help decision-makers assess the risks of forecast use. Recently, hydrometeorological ensemble forecast approaches have begun to be developed and used by operational collection of hydrometeorological services. In contrast to deterministic forecasts, ensemble forecasts are a multiple forecasts of the same events. The ensemble forecasts are generated by perturbing uncertain factors such as model forcings, initial conditions, and/or model physics. Ensemble techniques are attractive because they not only offer an estimate of the most probable future state of the hydrometeorological system, but also quantify the predictive uncertainty of a catastrophic hydrometeorological event occurring. The Hydrological Ensemble Prediction Experiment (HEPEX), initiated in 2004, has signaled a new era of collaboration toward the development of hydrometeorological ensemble forecasts. By bringing meteorologists, hydrologists and hydrometeorological forecast users together, HEPEX aims to improve operational hydrometeorological forecast approaches to a standard that can be used with confidence by emergencies and water resources managers. HEPEX advocates a hydrometeorological ensemble prediction system (HEPS) framework that consists of several basic building blocks. These components include:(a) an approach (typically statistical) for addressing uncertainty in meteorological inputs and generating statistically consistent space/time meteorological inputs for hydrological applications; (b) a land data assimilation approach for leveraging observation to reduce uncertainties in the initial and boundary conditions of the hydrological system; (c) approaches that address uncertainty in model parameters (also called ‘calibration’); (d) a hydrologic model or other approach for converting meteorological inputs into hydrological outputs; and finally (e) approaches for characterizing hydrological model output uncertainty. Also integral to HEPS is a verification system that can be used to evaluate the performance of all of its components. HEPS frameworks are being increasingly adopted by operational hydrometeorological agencies around the world to support risk management related to flash flooding, river and coastal flooding, drought, and water management. Real benefits of ensemble forecasts have been demonstrated in water emergence management decision making, optimization of reservoir operation, and other applications.
Publisher: Springer
ISBN: 9783642399244
Category : Science
Languages : en
Pages : 0
Book Description
Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorological elements -- including precipitation, temperature, humidity, soil moisture, river discharge, groundwater, etc.-- at different space and time scales. Such forecasts form an important scientific basis for informing public of natural hazards such as cyclones, heat waves, frosts, droughts and floods. Traditionally, and at most currently operational centers, hydrometeorological forecasts are deterministic, “single-valued” outlooks: i.e., the weather and hydrological models provide a single best guess of the magnitude and timing of the impending events. These forecasts suffer the obvious drawback of lacking uncertainty information that would help decision-makers assess the risks of forecast use. Recently, hydrometeorological ensemble forecast approaches have begun to be developed and used by operational collection of hydrometeorological services. In contrast to deterministic forecasts, ensemble forecasts are a multiple forecasts of the same events. The ensemble forecasts are generated by perturbing uncertain factors such as model forcings, initial conditions, and/or model physics. Ensemble techniques are attractive because they not only offer an estimate of the most probable future state of the hydrometeorological system, but also quantify the predictive uncertainty of a catastrophic hydrometeorological event occurring. The Hydrological Ensemble Prediction Experiment (HEPEX), initiated in 2004, has signaled a new era of collaboration toward the development of hydrometeorological ensemble forecasts. By bringing meteorologists, hydrologists and hydrometeorological forecast users together, HEPEX aims to improve operational hydrometeorological forecast approaches to a standard that can be used with confidence by emergencies and water resources managers. HEPEX advocates a hydrometeorological ensemble prediction system (HEPS) framework that consists of several basic building blocks. These components include:(a) an approach (typically statistical) for addressing uncertainty in meteorological inputs and generating statistically consistent space/time meteorological inputs for hydrological applications; (b) a land data assimilation approach for leveraging observation to reduce uncertainties in the initial and boundary conditions of the hydrological system; (c) approaches that address uncertainty in model parameters (also called ‘calibration’); (d) a hydrologic model or other approach for converting meteorological inputs into hydrological outputs; and finally (e) approaches for characterizing hydrological model output uncertainty. Also integral to HEPS is a verification system that can be used to evaluate the performance of all of its components. HEPS frameworks are being increasingly adopted by operational hydrometeorological agencies around the world to support risk management related to flash flooding, river and coastal flooding, drought, and water management. Real benefits of ensemble forecasts have been demonstrated in water emergence management decision making, optimization of reservoir operation, and other applications.