Evaluation and comparison of satellite-based rainfall products in Burkina Faso, West Africa

Dembélé, Moctar; Zwart, Sander J.

doi:10.1080/01431161.2016.1207258

Cited by 242 publications

(203 citation statements)

References 37 publications

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“…A study by Duan et al, (2016) Table 2). The correspondence of all products at a daily time scale and in all the validation areas was found comparably weak and the findings are in agreement with earlier studies (Cohen Liechti et al, 2012;Dembélé and Zwart, 2016).…”

supporting

confidence: 82%

Evaluation of Multiple Climate Data Sources for Managing Environmental Resources in East Africa

Gebrechorkos¹,

Hülsmann²,

Bernhofer³

2017

Preprint

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Abstract. 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 observation by remote sensing, and regional 15 climate models. The accuracy of the Africa Rainfall Climatology version 2 (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 relating point to pixel, point to area grid cell average, and stations average to area grid cell average over 21 regions of 20 East Africa: 17 in Ethiopia, two in Kenya and two in Tanzania. We found that the latter method provides better correlation and significantly reduces biases and errors. The correlations were analyzed at daily, dekadal (10 days), and monthly resolution for rainfall and maximum and minimum temperature (T-max and T-min) covering the period of 1983-2005. At daily time scale, CHIRPS, followed by ARC2 and CHIRP are the best performing rainfall products compared to ORH, RCM, and RCMS. CHIRPS 25 captures well the daily rainfall characteristics such as rainfall intensity, amount of wet days, and total rainfall. Compared to CHIRPS, ARC2 showed higher underestimation of the total rainfall (-30 %) and daily intensity (-14 %). CHIRP on the other hand, showed higher underestimation of the daily intensity 1 (-53 %) and duration of dry days (-29 %). Overall, the evaluation revealed that in terms of multiple statistical measures used on daily, dekadal, and monthly time scale, CHIRPS, CHIRP, and ARC2 are the best performing rainfall products while ORH, individual RCM, and RCMs are the least performing products.Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-558 Manuscript under review for journal Hydrol. Earth Syst. Sci.For T-max and T-min, ORH was identified as the most suitable product compared to RCM and RCMs. 5Our results indicate that CHIRPS (rainfall) and ORH (T-max and T-min), with higher spatial resolution, should be the preferential data sources to be used for climate change and hydrological studies in areas where station data are not accessible. 2Hydrol. Earth Syst. Sci. Discuss., https://doi

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supporting

confidence: 82%

Evaluation of Multiple Climate Data Sources for Managing Environmental Resources in East Africa

Gebrechorkos¹,

Hülsmann²,

Bernhofer³

2017

Preprint

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“…The comparison was performed from 1983 to 2007 to provide a consistent time period, which brackets the starting year of 1983 for the PERSIANN-CDR dataset and the final year of 2007 for APHRODITE data. The point-to-pixel assessment was applied to prevent additional uncertainties during interpolation of the gauge data [44]. For the overall assessment, all precipitation values are pooled together from 1983 to 2007 [45].…”

Section: Discussionmentioning

confidence: 99%

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Tan

Gassman

Cracknell

2017

Water

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Gridded climate products (GCPs) provide a potential source for representing weather in remote, poor quality or short-term observation regions. The accuracy of three long-term GCPs (Asian Precipitation-Highly-Resolved Observational Data Integration towards Evaluation of Water Resources: APHRODITE, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network-Climate Data Record: PERSIANN-CDR and National Centers for Environmental Prediction Climate Forecast System Reanalysis: NCEP-CFSR) was analyzed for the Kelantan River Basin (KRB) and Johor River Basin (JRB) in Malaysia from 1983 to 2007. Then, these GCPs were used as inputs into calibrated Soil and Water Assessment Tool (SWAT) models, to assess their capability in simulating streamflow. The results show that the APHRODITE data performed the best in precipitation estimation, followed by the PERSIANN-CDR and NCEP-CFSR datasets. The NCEP-CFSR daily maximum temperature data exhibited a better correlation than the minimum temperature data. For streamflow simulations, the APHRODITE data resulted in strong results for both basins, while the NCEP-CFSR data showed unsatisfactory performance. In contrast, the PERSIANN-CDR data showed acceptable representation of observed streamflow in the KRB, but failed to track the JRB observed streamflow. The combination of the APHRODITE precipitation and NCEP-CFSR temperature data resulted in accurate streamflow simulations. The APHRODITE and PERSIANN-CDR data often underestimated the extreme precipitation and streamflow, while the NCEP-CFSR data produced dramatic overestimations. Therefore, a direct application of NCEP-CFSR data should be avoided in this region. We recommend the use of APHRODITE precipitation and NCEP-CFSR temperature data in modeling of Malaysian water resources.

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“…The overall assessment performance of the TMPA-3B43 was evaluated by pooling all the precipitation values from the 42 rain gauges for the period of 1998-2014, and then comparing with their respective grid points [40,41]. For seasonal analysis, the precipitation was divided into four seasons, which are December to February (DJF), March to May (MAM), June to August (JJA) and September to November (SON) [42].…”

Section: Validation Processmentioning

confidence: 99%

Evaluation of TRMM Product for Monitoring Drought in the Kelantan River Basin, Malaysia

Tan

Chua

et al. 2017

Water

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Assessment of satellite precipitation products' capability for monitoring drought is relatively new in tropical regions. The purpose of this paper is to evaluate the reliability of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B43 product in estimating the standardized precipitation index (SPI) in the Kelantan River Basin, Malaysia from 1998 to 2014, by comparing it with data from 42 rain gauges. Overall, the TMPA-3B43 performed well in the monthly precipitation estimation, but performed moderately in the seasonal scale. Better performance was found in the northeast monsoon (wet season) than in the southwest monsoon (dry season). The product is more reliable in the northern and north-eastern regions (coastal zone) compared to the central, southern and south-eastern regions (mountainous area). For drought assessment, the correlations between the TMPA-3B43 and ground observations are moderate at various time-scales (one to twelve months), with better performance at shorter time-scales. The TMPA-3B43 shows similar temporal drought behavior by capturing most of the drought events at various time-scales, except for the 2008-2009 drought. These findings show that the TMPA-3B43 is not suitable to be used directly for SPI estimation in this basin. More bias correction and algorithm improvement work are needed to improve the accuracy of the TMPA-3B43 in drought monitoring.

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Evaluation and comparison of satellite-based rainfall products in Burkina Faso, West Africa

Cited by 242 publications

References 37 publications

Evaluation of Multiple Climate Data Sources for Managing Environmental Resources in East Africa

Evaluation of Multiple Climate Data Sources for Managing Environmental Resources in East Africa

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Evaluation of TRMM Product for Monitoring Drought in the Kelantan River Basin, Malaysia

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