Zobrazeno 1 - 10
of 398
pro vyhledávání: '"R. Schiemann"'
Publikováno v:
Weather and Climate Dynamics, Vol 3, Pp 575-599 (2022)
The East Asian summer monsoon (EASM) is a complex phenomenon, influenced by both tropical and mid-latitude dynamics and by the presence of the Tibetan Plateau. The EASM front (EASMF) separates tropical and extratropical air masses as the monsoon marc
Externí odkaz:
https://doaj.org/article/0fa1ce314a054a18a1e198524a25ed84
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 6381-6405 (2021)
High-resolution general circulation models (GCMs) can provide new insights into the simulated distribution of global precipitation. We evaluate how summer precipitation is represented over Asia in global simulations with a grid length of 14 km. Three
Externí odkaz:
https://doaj.org/article/365b9734ef0e4133a2a64706a112c361
Autor:
R. Schiemann, P. Athanasiadis, D. Barriopedro, F. Doblas-Reyes, K. Lohmann, M. J. Roberts, D. V. Sein, C. D. Roberts, L. Terray, P. L. Vidale
Publikováno v:
Weather and Climate Dynamics, Vol 1, Pp 277-292 (2020)
Global climate models (GCMs) are known to suffer from biases in the simulation of atmospheric blocking, and this study provides an assessment of how blocking is represented by the latest generation of GCMs. It is evaluated (i) how historical CMIP6 (C
Externí odkaz:
https://doaj.org/article/ecc0fedf324a43e3b0d798b16ad46320
Autor:
M. J. Roberts, A. Baker, E. W. Blockley, D. Calvert, A. Coward, H. T. Hewitt, L. C. Jackson, T. Kuhlbrodt, P. Mathiot, C. D. Roberts, R. Schiemann, J. Seddon, B. Vannière, P. L. Vidale
Publikováno v:
Geoscientific Model Development, Vol 12, Pp 4999-5028 (2019)
The Coupled Model Intercomparison Project phase 6 (CMIP6) HighResMIP is a new experimental design for global climate model simulations that aims to assess the impact of model horizontal resolution on climate simulation fidelity. We describe a hierarc
Externí odkaz:
https://doaj.org/article/77eb2a4658d04ddfae29602785f7fc06
Autor:
R. Schiemann, P. L. Vidale, L. C. Shaffrey, S. J. Johnson, M. J. Roberts, M.-E. Demory, M. S. Mizielinski, J. Strachan
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 3933-3950 (2018)
Limited spatial resolution is one of the factors that may hamper applications of global climate models (GCMs), in particular over Europe with its complex coastline and orography. In this study, the representation of European mean and extreme preci
Externí odkaz:
https://doaj.org/article/23eb11deae244608b7ded291c7903e9c
Autor:
K. D. Williams, D. Copsey, E. W. Blockley, A. Bodas‐Salcedo, D. Calvert, R. Comer, P. Davis, T. Graham, H. T. Hewitt, R. Hill, P. Hyder, S. Ineson, T. C. Johns, A. B. Keen, R. W. Lee, A. Megann, S. F. Milton, J. G. L. Rae, M. J. Roberts, A. A. Scaife, R. Schiemann, D. Storkey, L. Thorpe, I. G. Watterson, D. N. Walters, A. West, R. A. Wood, T. Woollings, P. K. Xavier
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 10, Iss 2, Pp 357-380 (2018)
Abstract The Global Coupled 3 (GC3) configuration of the Met Office Unified Model is presented. Among other applications, GC3 is the basis of the United Kingdom's submission to the Coupled Model Intercomparison Project 6 (CMIP6). This paper documents
Externí odkaz:
https://doaj.org/article/53976442308d43aebb777b949532840b
Autor:
M. S. Mizielinski, M. J. Roberts, P. L. Vidale, R. Schiemann, M.-E. Demory, J. Strachan, T. Edwards, A. Stephens, B. N. Lawrence, M. Pritchard, P. Chiu, A. Iwi, J. Churchill, C. del Cano Novales, J. Kettleborough, W. Roseblade, P. Selwood, M. Foster, M. Glover, A. Malcolm
Publikováno v:
Geoscientific Model Development, Vol 7, Iss 4, Pp 1629-1640 (2014)
The UPSCALE (UK on PRACE: weather-resolving Simulations of Climate for globAL Environmental risk) project constructed and ran an ensemble of HadGEM3 (Hadley Centre Global Environment Model 3) atmosphere-only global climate simulations over the per
Externí odkaz:
https://doaj.org/article/0f63554c9ed642cb854f147af0b2efbd
Publikováno v:
Hydrology and Earth System Sciences, Vol 15, Iss 5, Pp 1515-1536 (2011)
Modelling spatial covariance is an essential part of all geostatistical methods. Traditionally, parametric semivariogram models are fit from available data. More recently, it has been suggested to use nonparametric correlograms obtained from spatiall
Externí odkaz:
https://doaj.org/article/660a834471504a6b92df2fe37f767ff7
Publikováno v:
Journal of Geophysical Research: Atmospheres. 127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ac348925cb3d05aaf177873005b0374
https://doi.org/10.1029/2021jd035610
https://doi.org/10.1029/2021jd035610
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