Validation of a high-resolution precipitation database (CHIRPS) over Cyprus for a 30-year period

Katsanos, Dimitrios; Retalis, Adrianos; Michaelides, Silas

doi:10.1016/j.atmosres.2015.05.015

Cited by 184 publications

(97 citation statements)

References 8 publications

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“…It is important to note, however, that the literature for the CHIRPS dataset does not suggest that its performance in complex topography is poor [6,38]. When comparing the performance of the various statistical tests for the CFSR and CHIRPS model runs, the mathematical measure of the efficiency criteria is important.…”

Section: Discussionmentioning

confidence: 99%

“…Lastly, especially with low and negative NSE values, decomposition of the NSE can provide important statistical insight as to why model simulation of streamflow is or is not matching observed values. Figure 9 shows the temporal correlation between observed streamflow and It is important to note, however, that the literature for the CHIRPS dataset does not suggest that its performance in complex topography is poor [6,38]. When comparing the performance of the various statistical tests for the CFSR and CHIRPS model runs, the mathematical measure of the efficiency criteria is important.…”

Section: Discussionmentioning

confidence: 99%

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Increasing the Accuracy of Runoff and Streamflow Simulation in the Nzoia Basin, Western Kenya, through the Incorporation of Satellite-Derived CHIRPS Data

Pricope

2017

Water

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Hydrologic models will be an increasingly important tool for water resource managers as water availability dwindles and water security concerns become more pertinent in data-scarce regions. Fortunately, newly available satellite remote sensing technology provides an opportunity for improving the spatial resolution and quality of input data to hydrologic models in such regions. In particular, the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) dataset provides quasi-global high resolution precipitation information derived from a blend of in situ and active and passive remote sensing data sources. We piloted the incorporation of the CHIRPS dataset into the Soil and Water Assessment Tool (SWAT), a hydrologic model. Comparisons of results between estimation of streamflow using in situ rainfall gauge station data, the Climate Forecast System Reanalysis (CFSR) dataset, and the CHIRPS dataset in the data-scarce Nzoia Basin in western Kenya over the temporal range 1990-2000 were reported. Simulated streamflow estimates were poor with rainfall gauge station data but improved significantly with the CFSR and CHIRPS datasets. However, the use of the CHIRPS dataset in comparison with the CFSR dataset provided an improved statistical performance following model calibration with the exception of one streamflow gauge station in higher elevation regions. Overall, the use of the CHIRPS dataset had the greatest linear correlation, relative variability, and normalized bias despite overall average Nash-Sutcliffe Efficiency (NSE) and R 2 values.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Increasing the Accuracy of Runoff and Streamflow Simulation in the Nzoia Basin, Western Kenya, through the Incorporation of Satellite-Derived CHIRPS Data

Pricope

2017

Water

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“…Among many rainfall estimates (RFEs) in the area, for example CMORPH, ERA40, CHIRPS and TRMM, the latter two were selected for this study. Both satellite data sources have a relatively high resolution (TRMM 0.25 • and CHIRPS 0.05 • ) and are commonly used in Africa (Shukala et al, 2014;Katsanos et al, 2015). Detailed descriptions of these rainfall products are documented in many publications (e.g.…”

Section: Rainfall Data Analyses and Validationmentioning

confidence: 99%

“…Detailed descriptions of these rainfall products are documented in many publications (e.g. Dinku et al, 2007;Katsanos et al, 2015;Simpson et al, 1988). Before using them for validation and checking reliability, the rainfall products were first compared directly with observed rainfall of selected stations with good quality data.…”

Section: Rainfall Data Analyses and Validationmentioning

confidence: 99%

Temporal and spatial changes of rainfall and streamflow in the Upper Tekezē–Atbara river basin, Ethiopia

Gebremicael

Mohamed

Zaag

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. The Upper Tekezē-Atbara river sub-basin, part of the Nile Basin, is characterized by high temporal and spatial variability of rainfall and streamflow. In spite of its importance for sustainable water use and food security, the changing patterns of streamflow and its association with climate change is not well understood. This study aims to improve the understanding of the linkages between rainfall and streamflow trends and identify possible drivers of streamflow variabilities in the basin. Trend analyses and changepoint detections of rainfall and streamflow were analysed using Mann-Kendall and Pettitt tests, respectively, using data records for 21 rainfall and 9 streamflow stations. The nature of changes and linkages between rainfall and streamflow were carefully examined for monthly, seasonal and annual flows, as well as indicators of hydrologic alteration (IHA).The trend and change-point analyses found that 19 of the tested 21 rainfall stations did not show statistically significant changes. In contrast, trend analyses on the streamflow showed both significant increasing and decreasing patterns. A decreasing trend in the dry season (October to February), short season (March to May), main rainy season (June to September) and annual totals is dominant in six out of the nine stations. Only one out of nine gauging stations experienced significant increasing flow in the dry and short rainy seasons, attributed to the construction of Tekezē hydropower dam upstream this station in 2009. Overall, streamflow trends and change-point timings were found to be inconsistent among the stations. Changes in streamflow without significant change in rainfall suggests factors other than rainfall drive the change. Most likely the observed changes in streamflow regimes could be due to changes in catchment characteristics of the basin. Further studies are needed to verify and quantify the hydrological changes shown in statistical tests by identifying the physical mechanisms behind those changes. The findings from this study are useful as a prerequisite for studying the effects of catchment management dynamics on the hydrological variabilities in the basin.

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“…Belo-Pereira et al (2011) compared IB02, an Iberian daily precipitation dataset built by joining two methodologically equivalent gridded products for Portugal (PT02) and Spain (Spain02 v2), to global datasets and found that the global products produce better results in western Iberia than on the Mediterranean side. Finally, Katsanos et al (2016) validated the CHIRPS global remote-sensing product (Funk et al, 2015) in Cyprus and compared it to E-OBS and local rain gauge data and found that at the monthly scale, the results showed a good correlation between the CHIRPS values and the recorded precipitation.…”

Section: Introductionmentioning

confidence: 99%

Validation of a new SAFRAN-based gridded precipitation product for Spain and comparisons to Spain02 and ERA-Interim

Quintana-Seguí

Turco

Herrera

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Offline land surface model (LSM) simulations are useful for studying the continental hydrological cycle. Because of the nonlinearities in the models, the results are very sensitive to the quality of the meteorological forcing; thus, high-quality gridded datasets of screen-level meteorological variables are needed. Precipitation datasets are particularly difficult to produce due to the inherent spatial and temporal heterogeneity of that variable. They do, however, have a large impact on the simulations, and it is thus necessary to carefully evaluate their quality in great detail. This paper reports the quality of two high-resolution precipitation datasets for Spain at the daily time scale: the new SAFRAN-based dataset and Spain02. SAFRAN is a meteorological analysis system that was designed to force LSMs and has recently been extended to the entirety of Spain for a long period of time (1979/1980-2013/2014). Spain02 is a daily precipitation dataset for Spain and was created mainly to validate regional climate models. In addition, ERA-Interim is included in the comparison to show the differences between local high-resolution and global lowresolution products. The study compares the different precipitation analyses with rain gauge data and assesses their temporal and spatial similarities to the observations.The validation of SAFRAN with independent data shows that this is a robust product. SAFRAN and Spain02 have very similar scores, although the latter slightly surpasses the former. The scores are robust with altitude and throughout the year, save perhaps in summer when a diminished skill is observed. As expected, SAFRAN and Spain02 perform better than ERA-Interim, which has difficulty capturing the effects of the relief on precipitation due to its low resolution. However, ERA-Interim reproduces spells remarkably well in contrast to the low skill shown by the high-resolution products. The high-resolution gridded products overestimate the number of precipitation days, which is a problem that affects SAFRAN more than Spain02 and is likely caused by the interpolation method. Both SAFRAN and Spain02 underestimate high precipitation events, but SAFRAN does so more than Spain02. The overestimation of low precipitation events and the underestimation of intense episodes will probably have hydrological consequences once the data are used to force a land surface or hydrological model.

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Validation of a high-resolution precipitation database (CHIRPS) over Cyprus for a 30-year period

Cited by 184 publications

References 8 publications

Increasing the Accuracy of Runoff and Streamflow Simulation in the Nzoia Basin, Western Kenya, through the Incorporation of Satellite-Derived CHIRPS Data

Increasing the Accuracy of Runoff and Streamflow Simulation in the Nzoia Basin, Western Kenya, through the Incorporation of Satellite-Derived CHIRPS Data

Temporal and spatial changes of rainfall and streamflow in the Upper Tekezē–Atbara river basin, Ethiopia

Validation of a new SAFRAN-based gridded precipitation product for Spain and comparisons to Spain02 and ERA-Interim

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