國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Current trends in the representation...

Randall, David A.

Current trends in the representation of physical processes in weather and climate models

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Current trends in the representation of physical processes in weather and climate modelsedited by David A. Randall ... [et al.].
其他作者:	Randall, David A.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	xvi, 372 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Weather forecastingMathematical models.
電子資源:	https://doi.org/10.1007/978-981-13-3396-5
ISBN:	9789811333965$q(electronic bk.)

Current trends in the representation of physical processes in weather and climate models
Current trends in the representation of physical processes in weather and climate models[electronic resource] /edited by David A. Randall ... [et al.]. - Singapore :Springer Singapore :2019. - xvi, 372 p. :ill., digital ;24 cm. - Springer atmospheric sciences,2194-5217. - Springer atmospheric sciences..

Model systematic errors in the annual cycle of monsoon: Inferences from process-based diagnostics -- Challenges in tropical numerical weather prediction at ECMWF -- Convection Initiation in Climate Models using the Heated Condensation Framework: A Review -- Cloud Microphysics Across Scales for Weather and Climate -- Microphysical representations and their consistency with in-situ and remote-sensing observations -- Convective Available Potential Energy and Precipitation in a Cloud Resolving Model Simulation of Indian Summer Monsoon -- A Gray Zone GCM with Full Representation of Cloud Microphysics -- The Stochastic Multi-cloud Model (SMCM) convective parameterization in the CFSv2 : Scopes and Opportunities -- The IITM Earth System Model (ESM): Development and Future Roadmap -- Cumulus friction in the Asian monsoon of a global model with 7km mesh -- Difficulties in the subgrid-scale redistribution of moisture of a global cloud-resolving model -- Challenges of improving the stratiform process in a coupled climate model with Indian monsoon perspective -- Current and Future Activities in Modelling & Data Assimilation at NCMRWF -- Microphysics in Goddard Multi-scale Modeling Systems: A Review -- Stochastic Representation of NCEP GEFS to Improve Subseasonal Forecast -- New Pathways for Moist Convection Parameterisation -- Land Surface Processes.

This book focuses on the development of physical parameterization over the last 2 to 3 decades and provides a roadmap for its future development. It covers important physical processes: convection, clouds, radiation, land-surface, and the orographic effect. The improvement of numerical models for predicting weather and climate at a variety of places and times has progressed globally. However, there are still several challenging areas, which need to be addressed with a better understanding of physical processes based on observations, and to subsequently be taken into account by means of improved parameterization. And this is all the more important since models are increasingly being used at higher horizontal and vertical resolutions. Encouraging debate on the cloud-resolving approach or the hybrid approach with parameterized convection and grid-scale cloud microphysics and its impact on models' intrinsic predictability, the book offers a motivating reference guide for all researchers whose work involves physical parameterization problems and numerical models.

ISBN: 9789811333965$q(electronic bk.)

Standard No.: 10.1007/978-981-13-3396-5doiSubjects--Topical Terms:

833633
Weather forecasting
--Mathematical models.

LC Class. No.: QC995 / .C877 2019

Dewey Class. No.: 551.63

Current trends in the representation of physical processes in weather and climate models
LDR:03523nmm a2200337 a 4500 001 552774
003 DE-He213
005 20190802140554.0
006 m d
007 cr nn 008maaau
008 191107s2019 si s 0 eng d
020 $a 9789811333965$q(electronic bk.)
020 $a 9789811333958$q(paper)
024 7 $a 10.1007/978-981-13-3396-5 $2 doi
035 $a 978-981-13-3396-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QC995 $b .C877 2019
072 7 $a RB $2 bicssc
072 7 $a SCI042000 $2 bisacsh
072 7 $a RB $2 thema
082 0 4 $a 551.63 $2 23
090 $a QC995 $b .C976 2019
245 0 0 $a Current trends in the representation of physical processes in weather and climate models $h [electronic resource] / $c edited by David A. Randall ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xvi, 372 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer atmospheric sciences, $x 2194-5217
505 0 $a Model systematic errors in the annual cycle of monsoon: Inferences from process-based diagnostics -- Challenges in tropical numerical weather prediction at ECMWF -- Convection Initiation in Climate Models using the Heated Condensation Framework: A Review -- Cloud Microphysics Across Scales for Weather and Climate -- Microphysical representations and their consistency with in-situ and remote-sensing observations -- Convective Available Potential Energy and Precipitation in a Cloud Resolving Model Simulation of Indian Summer Monsoon -- A Gray Zone GCM with Full Representation of Cloud Microphysics -- The Stochastic Multi-cloud Model (SMCM) convective parameterization in the CFSv2 : Scopes and Opportunities -- The IITM Earth System Model (ESM): Development and Future Roadmap -- Cumulus friction in the Asian monsoon of a global model with 7km mesh -- Difficulties in the subgrid-scale redistribution of moisture of a global cloud-resolving model -- Challenges of improving the stratiform process in a coupled climate model with Indian monsoon perspective -- Current and Future Activities in Modelling & Data Assimilation at NCMRWF -- Microphysics in Goddard Multi-scale Modeling Systems: A Review -- Stochastic Representation of NCEP GEFS to Improve Subseasonal Forecast -- New Pathways for Moist Convection Parameterisation -- Land Surface Processes.
520 $a This book focuses on the development of physical parameterization over the last 2 to 3 decades and provides a roadmap for its future development. It covers important physical processes: convection, clouds, radiation, land-surface, and the orographic effect. The improvement of numerical models for predicting weather and climate at a variety of places and times has progressed globally. However, there are still several challenging areas, which need to be addressed with a better understanding of physical processes based on observations, and to subsequently be taken into account by means of improved parameterization. And this is all the more important since models are increasingly being used at higher horizontal and vertical resolutions. Encouraging debate on the cloud-resolving approach or the hybrid approach with parameterized convection and grid-scale cloud microphysics and its impact on models' intrinsic predictability, the book offers a motivating reference guide for all researchers whose work involves physical parameterization problems and numerical models.
650 0 $a Weather forecasting $x Mathematical models. $3 833633
650 0 $a Climatology $x Mathematical models. $3 485121
650 1 4 $a Atmospheric Sciences. $3 264356
650 2 4 $a Environmental Science and Engineering. $3 561067
650 2 4 $a Monitoring/Environmental Analysis. $3 759863
650 2 4 $a Climate Change/Climate Change Impacts. $3 657232
700 1 $a Randall, David A. $3 833632
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer atmospheric sciences. $3 558572
856 4 0 $u https://doi.org/10.1007/978-981-13-3396-5
950 $a Earth and Environmental Science (Springer-11646)