東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Earth sciences- Mathematics." ]

切換: 標籤 | MARC模式 | ISBD

Data assimilation for atmospheric, o...

Park, Seon Ki.

FindBook

Google Book

Amazon

博客來

Data assimilation for atmospheric, oceanic and hydrologic applications.. (Vol. III)

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data assimilation for atmospheric, oceanic and hydrologic applications./ edited by Seon Ki Park, Liang Xu.
其他作者:	Park, Seon Ki.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xxxvi, 553 p. :ill., digital ;24 cm.
內容註:	Kernel Methods for Data Assimilation in Geophysical Modeling -- Adjoint-free 4d variational assimilation into regional models,- Investigation of scale sensitivity using a nested adjoint model -- Assessment of radiative effects of hydrometeors in rapid radiative transfer model in support of satellite cloud and precipitation data assimilation -- Data assimilation over complex terrain -- Assessing the impacts of ocean surface winds and 3-D wind measurements on high-impact weather forecasting -- Quantification of Uncertainty in forecast using Polynomial Chaos and Unscented Transformations and their impact in ensemble data assimilation -- Soil Moisture Data Assimilation -- Toward new applications of the adjoint sensitivity tools in variational data assimilation -- Information Quantification for Data Assimilations -- Impact of Data Assimilation on Super Typhoon (2010) -- Forecast sensitivity to observations -- Data assimilation for coupled modeling systems -- GPS TPW Assimilation with the JMA Nonhydrostatic 4DVAR and Cloud Resolving Ensemble Forecast for the 2008 August Tokyo -- Validation and operational implementation of the four dimensional variational data assimilation system for the Navy coastal ocean model -- Recent Advances in Bottom Topography Mapping via Data Assimilation in Rivers, Estuaries, and the Coastal Ocean -- Data Assimilation Experiments of Refractivity Observed by JMA Operational Radar -- Stratospheric and Mesospheric Data Assimilation -- A review on variational methods for geophysical flows -- A new multi-outerloop formulation for NAVDAS-AR -- Impact of model physics on assimilation of precipitation and cloudy radiance observations in 4DVar -- A coupled atmosphere-chemistry data assimilation: Application to a tropical cyclone -- Improving the snow albedo parameterization using optimal estimation in land surface modeling -- Study of the impact of uncertainty of climate change on the simulation of terrestrial ecosystem by using the conditional nonlinear optimal perturbation of parameters -- Target Observations for High-impact Ocean-Atmospheric Environmental Events.
Contained By:	Springer eBooks
標題:	Earth sciences - Mathematics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-43415-5
ISBN:	9783319434155

Data assimilation for atmospheric, oceanic and hydrologic applications.. (Vol. III)
Data assimilation for atmospheric, oceanic and hydrologic applications.(Vol. III)[electronic resource] /edited by Seon Ki Park, Liang Xu. - Cham :Springer International Publishing :2017. - xxxvi, 553 p. :ill., digital ;24 cm.

Kernel Methods for Data Assimilation in Geophysical Modeling -- Adjoint-free 4d variational assimilation into regional models,- Investigation of scale sensitivity using a nested adjoint model -- Assessment of radiative effects of hydrometeors in rapid radiative transfer model in support of satellite cloud and precipitation data assimilation -- Data assimilation over complex terrain -- Assessing the impacts of ocean surface winds and 3-D wind measurements on high-impact weather forecasting -- Quantification of Uncertainty in forecast using Polynomial Chaos and Unscented Transformations and their impact in ensemble data assimilation -- Soil Moisture Data Assimilation -- Toward new applications of the adjoint sensitivity tools in variational data assimilation -- Information Quantification for Data Assimilations -- Impact of Data Assimilation on Super Typhoon (2010) -- Forecast sensitivity to observations -- Data assimilation for coupled modeling systems -- GPS TPW Assimilation with the JMA Nonhydrostatic 4DVAR and Cloud Resolving Ensemble Forecast for the 2008 August Tokyo -- Validation and operational implementation of the four dimensional variational data assimilation system for the Navy coastal ocean model -- Recent Advances in Bottom Topography Mapping via Data Assimilation in Rivers, Estuaries, and the Coastal Ocean -- Data Assimilation Experiments of Refractivity Observed by JMA Operational Radar -- Stratospheric and Mesospheric Data Assimilation -- A review on variational methods for geophysical flows -- A new multi-outerloop formulation for NAVDAS-AR -- Impact of model physics on assimilation of precipitation and cloudy radiance observations in 4DVar -- A coupled atmosphere-chemistry data assimilation: Application to a tropical cyclone -- Improving the snow albedo parameterization using optimal estimation in land surface modeling -- Study of the impact of uncertainty of climate change on the simulation of terrestrial ecosystem by using the conditional nonlinear optimal perturbation of parameters -- Target Observations for High-impact Ocean-Atmospheric Environmental Events.

This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.

ISBN: 9783319434155

Standard No.: 10.1007/978-3-319-43415-5doiSubjects--Topical Terms:

551200
Earth sciences
--Mathematics.

LC Class. No.: QC809.M37

Dewey Class. No.: 550.015118

Data assimilation for atmospheric, oceanic and hydrologic applications.. (Vol. III)
LDR:03750nmm a2200337 a 4500 001 2089028
003 DE-He213
005 20161227081050.0
006 m d
007 cr nn 008maaau
008 171013s2017 gw s 0 eng d
020 $a 9783319434155 $q (electronic bk.)
020 $a 9783319434148 $q (paper)
024 7 $a 10.1007/978-3-319-43415-5 $2 doi
035 $a 978-3-319-43415-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QC809.M37
072 7 $a RN $2 bicssc
072 7 $a PBW $2 bicssc
072 7 $a SCI026000 $2 bisacsh
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 550.015118 $2 23
090 $a QC809.M37 $b D232 2017
245 0 0 $a Data assimilation for atmospheric, oceanic and hydrologic applications. $n (Vol. III) $h [electronic resource] / $c edited by Seon Ki Park, Liang Xu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxxvi, 553 p. : $b ill., digital ; $c 24 cm.
505 0 $a Kernel Methods for Data Assimilation in Geophysical Modeling -- Adjoint-free 4d variational assimilation into regional models,- Investigation of scale sensitivity using a nested adjoint model -- Assessment of radiative effects of hydrometeors in rapid radiative transfer model in support of satellite cloud and precipitation data assimilation -- Data assimilation over complex terrain -- Assessing the impacts of ocean surface winds and 3-D wind measurements on high-impact weather forecasting -- Quantification of Uncertainty in forecast using Polynomial Chaos and Unscented Transformations and their impact in ensemble data assimilation -- Soil Moisture Data Assimilation -- Toward new applications of the adjoint sensitivity tools in variational data assimilation -- Information Quantification for Data Assimilations -- Impact of Data Assimilation on Super Typhoon (2010) -- Forecast sensitivity to observations -- Data assimilation for coupled modeling systems -- GPS TPW Assimilation with the JMA Nonhydrostatic 4DVAR and Cloud Resolving Ensemble Forecast for the 2008 August Tokyo -- Validation and operational implementation of the four dimensional variational data assimilation system for the Navy coastal ocean model -- Recent Advances in Bottom Topography Mapping via Data Assimilation in Rivers, Estuaries, and the Coastal Ocean -- Data Assimilation Experiments of Refractivity Observed by JMA Operational Radar -- Stratospheric and Mesospheric Data Assimilation -- A review on variational methods for geophysical flows -- A new multi-outerloop formulation for NAVDAS-AR -- Impact of model physics on assimilation of precipitation and cloudy radiance observations in 4DVar -- A coupled atmosphere-chemistry data assimilation: Application to a tropical cyclone -- Improving the snow albedo parameterization using optimal estimation in land surface modeling -- Study of the impact of uncertainty of climate change on the simulation of terrestrial ecosystem by using the conditional nonlinear optimal perturbation of parameters -- Target Observations for High-impact Ocean-Atmospheric Environmental Events.
520 $a This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
650 0 $a Earth sciences $x Mathematics. $3 551200
650 0 $a Geophysics $x Mathematics. $3 556523
650 1 4 $a Environment. $3 594032
650 2 4 $a Math. Appl. in Environmental Science. $3 891071
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 898674
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Atmospheric Sciences. $3 1019179
650 2 4 $a Oceanography. $3 535383
700 1 $a Park, Seon Ki. $3 3219289
700 1 $a Xu, Liang. $3 1002572
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-43415-5
950 $a Earth and Environmental Science (Springer-11646)