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Title: Emulation to simulate low resolution atmospheric data

Abstract

Climate simulations require significant compute power, they are complex and therefore it is time consuming to simulate them. We have developed an emulator to simulate unknown climate datasets. The emulator uses stochastic collocation and multi-dimensional in- terpolation to simulate the datasets. We have used the emulator to determine various physical quantities such as temperature, short and long wave cloud forcing, zonal winds etc. The emulation gives results which are very close to those obtained by simulations. The emulator was tested on 2 degree atmospheric datasets. The work evaluates the pros and cons of evaluating the mean first and inter- polating and vice versa. To determine the physical quantities, we have assumed them to be a function of time, longitude, latitude and a random parameter. We have looked at parameters that govern high stable clouds, low stable clouds, timescale for convection etc. The emulator is especially useful as it requires negligible compute times when compared to the simulation itself.

Authors:
 [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Center for Computational Sciences (NCCS)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1051448
Report Number(s):
ORNL/TM-2012/317
KP1703020; ERKP746
DOE Contract Number:  
DE-AC05-00OR22725
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Hebbur Venkata Subba Rao, Vishwas, Archibald, Richard K, and Evans, Katherine J. Emulation to simulate low resolution atmospheric data. United States: N. p., 2012. Web. doi:10.2172/1051448.
Hebbur Venkata Subba Rao, Vishwas, Archibald, Richard K, & Evans, Katherine J. Emulation to simulate low resolution atmospheric data. United States. https://doi.org/10.2172/1051448
Hebbur Venkata Subba Rao, Vishwas, Archibald, Richard K, and Evans, Katherine J. 2012. "Emulation to simulate low resolution atmospheric data". United States. https://doi.org/10.2172/1051448. https://www.osti.gov/servlets/purl/1051448.
@article{osti_1051448,
title = {Emulation to simulate low resolution atmospheric data},
author = {Hebbur Venkata Subba Rao, Vishwas and Archibald, Richard K and Evans, Katherine J},
abstractNote = {Climate simulations require significant compute power, they are complex and therefore it is time consuming to simulate them. We have developed an emulator to simulate unknown climate datasets. The emulator uses stochastic collocation and multi-dimensional in- terpolation to simulate the datasets. We have used the emulator to determine various physical quantities such as temperature, short and long wave cloud forcing, zonal winds etc. The emulation gives results which are very close to those obtained by simulations. The emulator was tested on 2 degree atmospheric datasets. The work evaluates the pros and cons of evaluating the mean first and inter- polating and vice versa. To determine the physical quantities, we have assumed them to be a function of time, longitude, latitude and a random parameter. We have looked at parameters that govern high stable clouds, low stable clouds, timescale for convection etc. The emulator is especially useful as it requires negligible compute times when compared to the simulation itself.},
doi = {10.2172/1051448},
url = {https://www.osti.gov/biblio/1051448}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Aug 01 00:00:00 EDT 2012},
month = {Wed Aug 01 00:00:00 EDT 2012}
}