DOI: 10.5194/hess-22-4547-2018
论文题名: Evaluation of multiple climate data sources for managing environmental resources in East Africa
作者: Gebrechorkos S.H. ; Hülsmann S. ; Bernhofer C.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期: 8 起始页码: 4547
结束页码: 4564
语种: 英语
Scopus关键词: Chirp modulation
; Climate models
; Earth (planet)
; Rain
; Remote sensing
; Soil moisture
; Sustainable development
; Earth observations
; Environmental resources
; International database
; Maximum and minimum temperatures
; National Weather Services
; Rainfall climatologies
; Regional climate models
; Statistical measures
; Climate change
; climate change
; climate modeling
; data set
; pixel
; rainfall
; regional climate
; remote sensing
; resource management
; satellite data
; spatial resolution
; sustainable development
; temperature effect
; East Africa
; Ethiopia
; Kenya
; Tanzania
英文摘要: Managing environmental resources under conditions of climate change and extreme climate events remains among the most challenging research tasks in the field of sustainable development. A particular challenge in many regions such as East Africa is often the lack of sufficiently long-term and spatially representative observed climate data. To overcome this data challenge we used a combination of accessible data sources based on station data, earth observations by remote sensing, and regional climate models. The accuracy of the Africa Rainfall Climatology version 2.0 (ARC2), Climate Hazards Group InfraRed Precipitation (CHIRP), CHIRP with Station data (CHIRPS), Observational-Reanalysis Hybrid (ORH), and regional climate models (RCMs) are evaluated against station data obtained from the respective national weather services and international databases. We did so by performing a comparison in three ways: Point to pixel, point to area grid cell average, and stations' average to area grid cell average over 21 regions of East Africa: 17 in Ethiopia, 2 in Kenya, and 2 in Tanzania. We found that the latter method provides better correlation and significantly reduces biases and errors. The correlations were analysed at daily, dekadal (10 days), and monthly resolution for rainfall and maximum and minimum temperature (Tmax and Tmin) covering the period of 1983-2005. At a daily timescale, CHIRPS, followed by ARC2 and CHIRP, is the best performing rainfall product compared to ORH, individual RCMs (I-RCM), and RCMs' mean (RCMs). CHIRPS captures the daily rainfall characteristics well, such as average daily rainfall, amount of wet periods, and total rainfall. Compared to CHIRPS, ARC2 showed higher underestimation of the total (-30%) and daily (-14%) rainfall. CHIRP, on the other hand, showed higher underestimation of the average daily rainfall (-53%) and duration of dry periods (-29%). Overall, the evaluation revealed that in terms of multiple statistical measures used on daily, dekadal, and monthly timescales, CHIRPS, CHIRP, and ARC2 are the best performing rainfall products, while ORH, I-RCM, and RCMs are the worst performing products. For Tmax and Tmin, ORH was identified as the most suitable product compared to I-RCM and RCMs. Our results indicate that CHIRPS (rainfall) and ORH (Tmax and Tmin), with higher spatial resolution, should be the preferential data sources to be used for climate change and hydrological studies in areas of East Africa where station data are not accessible. © Author(s) 2018. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163214
Appears in Collections: 气候变化与战略
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作者单位: Gebrechorkos, S.H., United Nations University, Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES), Dresden, 01067, Germany, Faculty of Environmental Sciences, Institute of Hydrology and Meteorology, Technische Universität Dresden, Dresden, 01062, Germany; Hülsmann, S., United Nations University, Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES), Dresden, 01067, Germany; Bernhofer, C., Faculty of Environmental Sciences, Institute of Hydrology and Meteorology, Technische Universität Dresden, Dresden, 01062, Germany
Recommended Citation:
Gebrechorkos S.H.,Hülsmann S.,Bernhofer C.. Evaluation of multiple climate data sources for managing environmental resources in East Africa[J]. Hydrology and Earth System Sciences,2018-01-01,22(8)