NDLI: Study on the reliable computation time of the numerical model using the sliding temporal correlation method

Content Provider	Springer Nature Link
Author	Liu, Yong Wang, Pengfei Huang, Gang
Copyright Year	2014
Abstract	A simple and useful method, the sliding temporal correlation (STC) analysis, is employed in the present work to investigate the predictable time (PT) of two typical chaotic numerical models (Lorenz system and Chen chaotic system) and reliable computing times (RCT) of an atmospheric general circulation model (ECHAM5). Through kinds of numerical experiments, results indicate that the maximal prediction time of Lorenz system (and Chen chaotic system) detected by STC method is coherent well with that by classical error limitation method, suggesting the effective role of the STC method. Then, taking the geopotential height for example, the RCT of ECHAM5 and potential impact factors such as the integration time step, initial condition, and model’s resolution are explored. Results reveal that (1) the high-value areas of the RCT are mainly situated in the tropics, and the global mean RCT (GMRCT) decreases from with the time step increasing; (2) the ocean forcing can enlarge the difference of the RCT between that averaged over the Southern Hemisphere (SH) and Northern Hemisphere (NH), which implies the RCT in the NH may be more sensitive to the computation error than that in the SH; (3) the model’s RCT also displays significant seasonality having longer (about 1–2 days) GMRCT in the experiment integrating from winter than that from summer; (4) the RCT of the high-resolution (T106) ECHAM5 shows similar spatial feature to that of low-resolution (T63) ECHAM5, but the GMRCT and hemispheric difference decreases.
Starting Page	539
Ending Page	550
Page Count	12
File Format	PDF
ISSN	0177798X
Journal	Theoretical and Applied Climatology
Volume Number	119
Issue Number	3-4
e-ISSN	14344483
Language	English
Publisher	Springer Vienna
Publisher Date	2014-03-05
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Atmospheric Sciences Climatology Atmospheric Protection/Air Quality Control/Air Pollution Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Comment on “Study on the reliable computation time of the numerical model using the sliding temporal correlation method”

Regional climate simulations over Vietnam using the WRF model

Spatio-temporal patterns of precipitation in Serbia

Fog climatology in Latvia

Atmospheric bridge on orbital time scales

Spatial and time correlation of thermometers and pluviometers in a weather network database

Volatility modeling of rainfall time series

A model for estimating rains’ area, using the dependence of the time correlation of sites’ monthly precipitation totals on the distance between sites

Multivariate drought frequency estimation using copula method in Southwest China

Study on the reliable computation time of the numerical model using the sliding temporal correlation method

Similar Documents

Comment on “Study on the reliable computation time of the numerical model using the sliding temporal correlation method”

Regional climate simulations over Vietnam using the WRF model

Spatio-temporal patterns of precipitation in Serbia

Fog climatology in Latvia

Atmospheric bridge on orbital time scales

Spatial and time correlation of thermometers and pluviometers in a weather network database

Volatility modeling of rainfall time series

A model for estimating rains’ area, using the dependence of the time correlation of sites’ monthly precipitation totals on the distance between sites

Multivariate drought frequency estimation using copula method in Southwest China

Study on the reliable computation time of the numerical model using the sliding temporal correlation method