Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 2, 2026Discover GeoscienceOpen Access

Evaluating satellite rainfall products against ground-based observations over Zambia

View Full Paper
Ask AI
Bookmark
Share

Authors

CCCharles Bwalya ChisangaCopperbelt UniversityENEdson NkondeMinistry of HealthEPElijah PhiriUniversity of Zambia

Discussion

Loading...

Member takes

Implication

Randomized trial evaluates satellite rainfall products against ground-based observations, indicating varied accuracy levels.

Key Points

  • This study aims to assess the accuracy of satellite rainfall products in comparison to ground-based precipitation data.
  • Evaluated four satellite rainfall products: ARC2, CHIRPS, RFEv2, and TAMSAT.
  • Used statistical metrics such as false alarm ratio and probability of detection.
  • Assessed accuracy at seasonal, monthly, and daily time scales.
  • RFEv2 showed superior rainfall detection compared to CHIRPS, TAMSAT, and ARC2.
  • Daily correlation between SRPs and ground-based observations ranged from 0.29 to 0.74, indicating moderate to strong correlation.
  • ARC2 performed better at daily and monthly assessments, while CHIRPS excelled during specific seasonal periods.

Cite This Study

Chisanga et al. (2026) studied this question.

synapsesocial.com/papers/6a6eeae61b0468a7eeab37achttps://doi.org/10.1007/s44288-026-00659-3
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation2021 · 5,344 citations
  2. 2The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes2015 · 6,465 citations
  3. 3Comprehensive performance evaluation of satellite-based and reanalysis rainfall estimate products in Ethiopia: For drought, flood, and water resources applications.2025 · 8 citations
  4. 4Identifying changing precipitation extremes in Sub-Saharan Africa with gauge and satellite products2019 · 110 citations
  5. 5Rainfall Variability and Trends over the African Continent Using TAMSAT Data (1983–2020): Towards Climate Change Resilience and Adaptation2021 · 54 citations