Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Youngsaeng Lee"'
Publikováno v:
Atmospheric Science Letters, Vol 21, Iss 2, Pp n/a-n/a (2020)
Abstract Projections of changes in extreme climate are sometimes predicted by multimodel ensemble methods that combine forecasts from individual simulation models using weighted averaging. One method to assign weight to each model is the Bayesian mod
Externí odkaz:
https://doaj.org/article/5c8943be58834d46bd80bb0b4defa431
Autor:
Youngsaeng Lee, Jeong-Soo Park
Publikováno v:
Entropy, Vol 22, Iss 9, p 985 (2020)
The approximated nonlinear least squares (ALS) method has been used for the estimation of unknown parameters in the complex computer code which is very time-consuming to execute. The ALS calibrates or tunes the computer code by minimizing the squared
Externí odkaz:
https://doaj.org/article/8285916cd7ff4a4389969a78cb3961a3
Publikováno v:
Atmosphere, Vol 11, Iss 8, p 775 (2020)
A model weighting scheme is important in multi-model climate ensembles for projecting future changes. The climate model output typically needs to be bias corrected before it can be used. When a bias-correction (BC) is applied, equal model weights are
Externí odkaz:
https://doaj.org/article/afb20c80a37d46608a89fb551d393c48
Publikováno v:
Theoretical and Applied Climatology. 141:143-155
We analyze annual extremes of daily maximum and minimum surface air temperature and of daily rainfall in East Asia and the Korean peninsula. This study made intensive use of the simulation data available from the CMIP5 (Coupled Model Intercomparison
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d22b73c6d04f663e9584d9cffecb6e89
https://doi.org/10.1007/s00704-020-03180-w
https://doi.org/10.1007/s00704-020-03180-w
We analyze annual extremes of daily maximum and minimum surface air temperature and of daily rainfall in East Asia and the Korean peninsula. This study made intensive use of the simulation data available from the CMIP5 (Coupled Model intercomparison
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f833ba96e7715d41b7db0bcc4f6b40a
https://eartharxiv.org/7gxph
https://eartharxiv.org/7gxph
Publikováno v:
Atmosphere, Vol 11, Iss 775, p 775 (2020)
Atmosphere
Volume 11
Issue 8
Atmosphere
Volume 11
Issue 8
A model weighting scheme is important in multi-model climate ensembles for projecting future changes. The climate model output typically needs to be bias corrected before it can be used. When a bias-correction (BC) is applied, equal model weights are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5e98cba70e85dde4a6d665a582e8f3c
https://www.mdpi.com/2073-4433/11/8/775
https://www.mdpi.com/2073-4433/11/8/775
Publikováno v:
Atmospheric Science Letters, Vol 21, Iss 2, Pp n/a-n/a (2020)
Projections of changes in extreme climate are sometimes predicted by multimodel ensemble methods that combine forecasts from individual simulation models using weighted averaging. One method to assign weight to each model is the Bayesian model averag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbecb17900379343a8e82eb325924b88
https://doaj.org/article/5c8943be58834d46bd80bb0b4defa431
https://doaj.org/article/5c8943be58834d46bd80bb0b4defa431
Tuning a complex simulation code refers to the process of improving the agreement of a code calculation with respect to a set of experimental data by adjusting parameters implemented in the code. This process belongs to the class of inverse problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01afeccd49cb29688a4c226e105bf2da
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 33:47-57
Projections of changes in extreme climate are sometimes predicted by using multi-model ensemble methods such as Bayesian model averaging (BMA) embedded with the generalized extreme value (GEV) distribution. BMA is a popular method for combining the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f1c77ade0678403cb8c4d8dc684673a
https://doi.org/10.1007/s00477-018-1629-7
https://doi.org/10.1007/s00477-018-1629-7
Publikováno v:
Communications for Statistical Applications and Methods. 25:217-234
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5218b02b83b74f8bb8e42615671e1f2c
https://doi.org/10.29220/csam.2018.25.2.217
https://doi.org/10.29220/csam.2018.25.2.217