Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Chongjian Qiu"'
Publikováno v:
Meteorologische Zeitschrift, Vol 22, Iss 1, Pp 35-48 (2013)
In the ensemble-based four dimensional variational assimilation method (SVD-En4DVar), a singular value decomposition (SVD) technique is used to select the leading eigenvectors and the analysis variables are expressed as the orthogonal bases expansion
Externí odkaz:
https://doaj.org/article/c9c96655f1094249b7e497c6b91a9ad9
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
To overcome the problem that the horizontal resolution of global climate models may be too low to resolve features which are important at the regional or local scales, dynamical downscaling has been extensively used. However, dynamical downscaling re
Externí odkaz:
https://doaj.org/article/9635e973538b4c86b2f77c5f54018547
Publikováno v:
Advances in Meteorology, Vol 2013 (2013)
The previous two-dimensional simple adjoint method for retrieving horizontal wind field from a time sequence of single-Doppler scans of reflectivity and/or radial velocity is further developed into a new method to retrieve both horizontal and vertica
Externí odkaz:
https://doaj.org/article/1d01757d47d340489040a7a7d16cc5e4
Publikováno v:
Journal of Meteorological Research. 33:219-235
This paper evaluates the performance of the Weather Research and Forecasting (WRF) model coupled with a lake scheme over the Lake Poyang and Lake Dongting regions. We choose several cases with different weather characteristics, including winter with/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a8e07b8f9808ac15558603507b5c8f
https://doi.org/10.1007/s13351-019-8070-9
https://doi.org/10.1007/s13351-019-8070-9
Publikováno v:
Science China Earth Sciences. 59:2454-2462
In model-based sensitivity studies, the growth of model error over long-term integrations may lead to serious deviations between the simulated and actual states. To reduce these errors, we have developed a new modeling approach with application of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a050a791f58347e6f9c9f604508e4b1
https://doi.org/10.1007/s11430-016-0033-3
https://doi.org/10.1007/s11430-016-0033-3
Publikováno v:
Journal of Meteorological Research. 29:735-746
In model-based climate sensitivity studies, model errors may grow during continuous long-term integrations in both the “reference” and “perturbed” states and hence the climate sensitivity (defined as the difference between the two states). To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e09ed2e87112d18a8f0565a12638076c
https://doi.org/10.1007/s13351-015-5026-6
https://doi.org/10.1007/s13351-015-5026-6
Publikováno v:
Meteorologische Zeitschrift, Vol 22, Iss 1, Pp 35-48 (2013)
In the ensemble-based four dimensional variational assimilation method (SVD-En4DVar), a singular value decomposition (SVD) technique is used to select the leading eigenvectors and the analysis variables are expressed as the orthogonal bases expansion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0673b610da3cb3cc3df2efd55a5ef203
https://doi.org/10.1127/0941-2948/2013/0287
https://doi.org/10.1127/0941-2948/2013/0287
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
To overcome the problem that the horizontal resolution of global climate models may be too low to resolve features which are important at the regional or local scales, dynamical downscaling has been extensively used. However, dynamical downscaling re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b48ec433afda501d3124958dc78a888b
https://doaj.org/article/9635e973538b4c86b2f77c5f54018547
https://doaj.org/article/9635e973538b4c86b2f77c5f54018547
Publikováno v:
Acta Meteorologica Sinica. 26:717-734
An observation localization scheme is introduced into an ensemble-based three-dimensional variational (3DVar) assimilation method based on the singular value decomposition technique (SVD-En3DVar) to improve assimilation skill. A point-by-point analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b45e912e75e3c96e88997dac9f5eb7df
https://doi.org/10.1007/s13351-012-0604-3
https://doi.org/10.1007/s13351-012-0604-3
Publikováno v:
Science in China Series D: Earth Sciences. 52:1650-1660
A variational method based on previous numerical forecasts is developed to estimate and correct non-systematic component of numerical weather forecast error. In the method, it is assumed that the error is linearly dependent on some combination of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3ebbb83db37bc387775189303a2726b
https://doi.org/10.1007/s11430-009-0139-3
https://doi.org/10.1007/s11430-009-0139-3