气候变化领域集成服务门户(CCPortal): CORDEX Multi-RCM Hindcast Over Central Africa: Evaluation Within Observational Uncertainty

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DOI	10.1029/2019JD031607
	CORDEX Multi-RCM Hindcast Over Central Africa: Evaluation Within Observational Uncertainty
	Taguela T.N.; Vondou D.A.; Moufouma-Okia W.; Fotso-Nguemo T.C.; Pokam W.M.; Tanessong R.S.; Yepdo Z.D.; Haensler A.; Longandjo G.N.; Bell J.P.; Takong R.R.; Djiotang Tchotchou L.A.
发表日期	2020
ISSN	2169897X
卷号	125 期号:5
英文摘要	This paper investigates the performance of 10 Regional Climate Models (RCMs) hindcasts from the Coordinated Regional Climate Downscaling Experiments (CORDEX) over Central Africa, covering the period 1998–2008 and performed over a common model grid spacing 0.44° (∼ 50 km). Multiple observational data sets are used to evaluate model performances over four targeted subregions. Throughout the work, a measure of observational uncertainty is made and we discuss whether or not the models are found within or outside the range of observational uncertainty. Results indicate that RCMs generally capture rainfall and temperature basic features, though important biases exist and vary for models and seasons. Dry (wet) biases are common features over the Congo basin (northern and southern part of the domain). In terms of precipitation and temperature in both seasonal and annual scale, most RCMs along with their ensemble mean generally fall in the range of observational uncertainty. Furthermore, most RCMs show a good spread of grid points where the added value of RCMs is found although the added value in temperature is not as great as with precipitation. UC-WRF is among models adding less value on ERAINT and this could explain why whatever the time scale of variability, UC-WRF outputs are generally out from the observational uncertainty. The multimodel ensemble mean is generally found within observational range when most models are there as well. This highlights the fact that the ensemble mean, built from the equal treatment of RCMs, does not generally outperform individual RCMs realization as it is reported in several previous studies. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	Added Value; Central Africa; CORDEX-RCMs; Multimodel Ensemble; Observational Uncertainty
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186141
作者单位	Laboratory for Environmental Modelling and Atmospheric Physics, Department of Physics, University of Yaounde 1, Yaounde, Cameroon; Laboratoire Mixte International “Dynamique des écosystèmes continentaux d'Afrique Centrale en contexte de changements globaux” (LMI DYCOFAC), Institut de Recherche pour le Développement, Yaoundé, Cameroon; Climate and Water Department, World Meteorological Organization, Geneva, Switzerland; Climate Change Research Laboratory (CCRL), National Institute of Cartography, Yaounde, Cameroon; Department of Physics, Higher Teacher Training College, University of Yaounde 1, Yaounde, Cameroon; School of Wood, Water and Natural Resources, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Ebolowa, Cameroon; Institute of Hydrology, Faculty of Environment and Natural Resources, University Freiburg, Freiburg im Breisgau, Germany; Department of Oceanography, University of Cape Town, Cape Town, South Africa; Department of Physics, Faculty of Science, University of Douala, D...
推荐引用方式 GB/T 7714	Taguela T.N.,Vondou D.A.,Moufouma-Okia W.,et al. CORDEX Multi-RCM Hindcast Over Central Africa: Evaluation Within Observational Uncertainty[J],2020,125(5).
APA	Taguela T.N..,Vondou D.A..,Moufouma-Okia W..,Fotso-Nguemo T.C..,Pokam W.M..,...&Djiotang Tchotchou L.A..(2020).CORDEX Multi-RCM Hindcast Over Central Africa: Evaluation Within Observational Uncertainty.Journal of Geophysical Research: Atmospheres,125(5).
MLA	Taguela T.N.,et al."CORDEX Multi-RCM Hindcast Over Central Africa: Evaluation Within Observational Uncertainty".Journal of Geophysical Research: Atmospheres 125.5(2020).