GSTDTAP  > 气候变化
DOI10.1029/2018JD028536
Performance Analysis and Projected Changes of Agroclimatological Indices Across West Africa Based on High-Resolution Regional Climate Model Simulations
Dieng, Diarra1,2,3; Laux, Patrick1,2; Smiatek, Gerhard2; Heinzeller, Dominikus1,4; Bliefernicht, Jan2; Sarr, Abdoulaye5; Gaye, Amadou Thierno3; Kunstmann, Harald1,2
2018-08-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2018
卷号123期号:15页码:7950-7973
文章类型Article
语种英语
国家Germany; Senegal; USA
英文摘要

In this study, we analyze a set of agroclimatological indices across West Africa and assess their projected changes for the future. We apply the regional climate model CCLM (COnsortium for Small-scale MOdelling in CLimate Mode) with a high spatial resolution of 0.11 degrees (approximately 12 km) under current (1981-2010) and future climate conditions, based on the emission scenario RCP4.5. The focus is on purely rainfall-based indices, that is, the onset (ORS), the cessation (CRS), and the length of the rainy season (LRS) and the joint rainfall- and temperature-based indices, that is, growing degree days (GDD) and the water availability (WAV), derived for maize, sorghum, and pearl millet across Guinea, Savanna, and Sahel. For the present, in general, the CCLM compares well to observations, represented by three different products. However, CCLM shows limitations in the representation of the CRS over Guinea with a delay of >30 days and the GDD and WAV over Sahel with biases up to 30% and 70% for all crops. For the future climate projections, ORS, CRS, and LRS are expected to be delayed up to 2 weeks for most regions, in particular for the period 2071-2100. The GDD is expected to increase by around 8% till 2021-2050 and by around 5% till 2071-2100 for all crops. The WAV is expected to be decreased by up to 10% in 2021-2050, and by up to 24% in 2071-2100 in Sahel, and <12% over Guinea and Savanna in both periods. In particular, we evaluate the added value of the high-resolution CCLM information for decision support in agricultural management.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000443578500001
WOS关键词RAIN-FED CONDITIONS ; GROWING-SEASON ; BURKINA-FASO ; NORTHERN NIGERIA ; PLANTING DATES ; FUTURE CLIMATE ; SEED-SET ; ONSET ; MONSOON ; MAIZE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/33598
专题气候变化
作者单位1.KIT, Inst Meteorol & Climate Res IMK IFU, Campus Alpine, Karlsruhe, Germany;
2.Univ Augsburg, Inst Geog, Augsburg, Germany;
3.Univ Cheikh Anta Diop, Ecole Super Polytech, LPAO SF, Dakar, Senegal;
4.Univ Colorado, Cooperat Inst Res Environm Sci, NOAA OAR ESRL Global Syst Div, Boulder, CO 80309 USA;
5.Agence Natl Aviat Civile & Meteorol, Dakar, Senegal
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Dieng, Diarra,Laux, Patrick,Smiatek, Gerhard,et al. Performance Analysis and Projected Changes of Agroclimatological Indices Across West Africa Based on High-Resolution Regional Climate Model Simulations[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(15):7950-7973.
APA Dieng, Diarra.,Laux, Patrick.,Smiatek, Gerhard.,Heinzeller, Dominikus.,Bliefernicht, Jan.,...&Kunstmann, Harald.(2018).Performance Analysis and Projected Changes of Agroclimatological Indices Across West Africa Based on High-Resolution Regional Climate Model Simulations.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(15),7950-7973.
MLA Dieng, Diarra,et al."Performance Analysis and Projected Changes of Agroclimatological Indices Across West Africa Based on High-Resolution Regional Climate Model Simulations".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.15(2018):7950-7973.
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