國立高雄大學圖資館 |

Handbook of hydrometeorological ensemble forecasting

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of hydrometeorological ensemble forecastingedited by Qingyun Duan ... [et al.].
其他作者:	Duan, Qingyun.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2019.
面頁冊數:	xxxvi, 1528 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Weather forecasting
電子資源:	https://doi.org/10.1007/978-3-642-39925-1
ISBN:	9783642399251$q(electronic bk.)

Handbook of hydrometeorological ensemble forecasting
Handbook of hydrometeorological ensemble forecasting[electronic resource] /edited by Qingyun Duan ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2019. - xxxvi, 1528 p. :ill., digital ;24 cm.

Introduction -- Overview of Meteorological Ensemble Forecasting -- Post-processing of Meteorological Ensemble Forecasting for Hydrological Applications -- Hydrological Models -- Model Parameter Estimation and Uncertainty Analysis -- Observation and data assimilation -- Post-processing of Hydrological Ensemble Forecasts -- Verification of Hydrometeorological Ensemble Forecasts -- Communication and Use of Ensemble Forecasts for Decision Making -- Ensemble Forecast Application Showcases -- Mathematical and Statistical Fundamentals for Hydrometeorological Ensemble Forecasting.

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 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 make risk-based decisions. Recently, hydrometeorological ensemble forecast approaches have begun to be developed and used by operational hydrometeorological services. In contrast to deterministic forecasts, ensemble forecasts are 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. "Handbook of Hydrometeorological Ensemble Forecasting" is mainly contributed by the group of experts from HEPEX as a central reference work from this field. 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 forecasts 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. This book not only covers the theoretical and methodological aspects involved in hydrometeorological ensemble forecasting, but also presents a large number of successful application showcases. It should serves as an excellent reference book for researchers and practitioners in hydrometeorological forecasting.

ISBN: 9783642399251$q(electronic bk.)

Standard No.: 10.1007/978-3-642-39925-1doiSubjects--Topical Terms:

805088
Weather forecasting

LC Class. No.: QC995 / .H363 2019

Dewey Class. No.: 551.63

Handbook of hydrometeorological ensemble forecasting
LDR:05164nmm a2200325 a 4500 001 555307
003 DE-He213
005 20190626091824.0
006 m d
007 cr nn 008maaau
008 191121s2019 gw s 0 eng d
020 $a 9783642399251$q(electronic bk.)
020 $a 9783642399244$q(paper)
024 7 $a 10.1007/978-3-642-39925-1 $2 doi
035 $a 978-3-642-39925-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QC995 $b .H363 2019
072 7 $a RBK $2 bicssc
072 7 $a SCI081000 $2 bisacsh
072 7 $a RBK $2 thema
082 0 4 $a 551.63 $2 23
090 $a QC995 $b .H236 2019
245 0 0 $a Handbook of hydrometeorological ensemble forecasting $h [electronic resource] / $c edited by Qingyun Duan ... [et al.].
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2019.
300 $a xxxvi, 1528 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Overview of Meteorological Ensemble Forecasting -- Post-processing of Meteorological Ensemble Forecasting for Hydrological Applications -- Hydrological Models -- Model Parameter Estimation and Uncertainty Analysis -- Observation and data assimilation -- Post-processing of Hydrological Ensemble Forecasts -- Verification of Hydrometeorological Ensemble Forecasts -- Communication and Use of Ensemble Forecasts for Decision Making -- Ensemble Forecast Application Showcases -- Mathematical and Statistical Fundamentals for Hydrometeorological Ensemble Forecasting.
520 $a 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 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 make risk-based decisions. Recently, hydrometeorological ensemble forecast approaches have begun to be developed and used by operational hydrometeorological services. In contrast to deterministic forecasts, ensemble forecasts are 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. "Handbook of Hydrometeorological Ensemble Forecasting" is mainly contributed by the group of experts from HEPEX as a central reference work from this field. 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 forecasts 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. This book not only covers the theoretical and methodological aspects involved in hydrometeorological ensemble forecasting, but also presents a large number of successful application showcases. It should serves as an excellent reference book for researchers and practitioners in hydrometeorological forecasting.
650 0 $a Weather forecasting $3 805088
650 0 $a Hydrometeorology $v Handbooks, manuals, etc. $3 837356
650 1 4 $a Hydrogeology. $3 195801
650 2 4 $a Hydrology/Water Resources. $3 675922
650 2 4 $a Meteorology. $3 276569
650 2 4 $a Natural Hazards. $3 348413
700 1 $a Duan, Qingyun. $3 837355
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-642-39925-1
950 $a Earth and Environmental Science (Springer-11646)