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Comparing the performance of high‐resolution global precipitation products across topographic and climatic gradients of Central Asia

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  • Peña‐Guerrero, Mayra Daniela
  • Umirbekov, Atabek
  • Tarasova, Larisa
  • Müller, Daniel
Abstract
Accurate and reliable precipitation data with high spatial and temporal resolution are essential in studying climate variability, water resources management, and hydrological forecasting. A range of global precipitation data are available to this end, but how well these capture actual precipitation remains unknown, particularly for mountain regions where ground stations are sparse. We examined the performance of three global high-resolution precipitation products for capturing precipitation over Central Asia, a hotspot of climate change, where reliable precipitation data are particularly scarce. Specifically, we evaluated MSWEP, CHIRPS, and GSMAP against independent gauging stations for the period 1985–2015. Our results show that MSWEP and CHIRPS outperformed GSMAP for wetter periods (i.e., winter and spring) and wetter locations (150–600 mm·year−1), lowlands, and mid-altitudes (0–3,000 m), and regions dominated by winter and spring precipitation. MSWEP performed best in representing temporal precipitation dynamics and CHIRPS excelled in capturing the volume and distribution of precipitation. All precipitation products poorly estimated precipitation at higher elevations (>3,000 m), in drier areas (

Suggested Citation

  • Peña‐Guerrero, Mayra Daniela & Umirbekov, Atabek & Tarasova, Larisa & Müller, Daniel, 2022. "Comparing the performance of high‐resolution global precipitation products across topographic and climatic gradients of Central Asia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 42(11), pages 5554-5569.
  • Handle: RePEc:zbw:espost:264276
    DOI: 10.1002/joc.7548
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    3. Annina Sorg & Tobias Bolch & Markus Stoffel & Olga Solomina & Martin Beniston, 2012. "Climate change impacts on glaciers and runoff in Tien Shan (Central Asia)," Nature Climate Change, Nature, vol. 2(10), pages 725-731, October.
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