ArticleScientific reports2025
Evaluating multi-source precipitation data for streamflow simulation using the SWAT model in the Alpine Manas River Basin, Northwest China.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Due to the influence of topography, climate, and other factors, the applicability of precipitation products varies significantly across different regions. Investigating the differences among multi-source precipitation products and their suitability for streamflow simulation in cold and alpine basins not only helps to reveal the advantages and limitations of each product but also plays an important role in improving the accuracy and application of hydrological models. Combining comprehensive indexes for precipitation magnitude and precipitation event detection capability, and the SWAT model, this study compares and analyzes the accuracy of four precipitation products (CMFD, MSWEP, ERA5-LAND, IMERG) in the arid regions of Xinjiang and explores their applicability in streamflow simulation for the alpine Manas River Basin. All four products demonstrate consistent intra-annual precipitation variation patterns. Significant discrepancies emerge specifically during summer. IMERG yields the lowest precipitation estimates, underestimating monthly totals with underestimations reaching approximately 39% to 45.7% in spring and autumn. Conversely, IMERG overestimates precipitation by 6.43% to 35.2% in July and August. Both CMFD and MSWEP underestimate precipitation during the rainy season while overestimating it in the dry season. The annual mean precipitation is overestimated by 4.05% to 6.59%. ERA5-Land exhibits a substantial overall overestimation of approximately 45.6%. CMFD demonstrates optimal overall precipitation performance with higher station correlation and relatively stable behavior across precipitation intensity levels. MSWEP and ERA5-Land exhibit comparable performance, though MSWEP shows smaller daily-scale biases than CMFD. MSWEP-based daily streamflow simulations yielded optimal results, achieving Nash-Sutcliffe Efficiency (NSE) > 0.65 during both calibration and validation periods with PBIAS < 15%. CMFD and ERA5-Land generated similar streamflow simulations, consistently overestimating streamflow by 12.79 ~ 27.07% in both periods. This study offers valuable references for streamflow simulation and water resource management in data-scarce alpine basins.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.