ArticleWater resources research2020
Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions.
Article in Water resources research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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
15 citing papers in PubMed.
- Spatiotemporal variability analysis of nutrient and sediment loads in surface water using improved hydrologic modeling for depression-dominated watersheds.Environmental monitoring and assessment · 2026Article
- Relating surface water dynamics in wetlands and lakes to spatial variability in hydrologic signatures.Wetlands ecology and management · 2025Article
- Non-Floodplain Wetlands Are Carbon-Storage Powerhouses Across the United States.Earth's future · 2025Article
- Wetland-mediated nitrate reductions attenuate downstream: Insights from a modeling study.Journal of environmental management · 2024Article
- Article
- Climate Change Will Impact Surface Water Extents and Dynamics Across the Central United States.Earth's future · 2024Article
- A call for consistency and integration in global surface water estimates.Environmental research letters : ERL [Web site] · 2024Article
- Mapping global non-floodplain wetlands.Earth system science data · 2023Article
- Topographic hydro-conditioning to resolve surface depression storage and ponding in a fully distributed hydrologic model.Advances in water resources · 2023Article
- Advancing Watershed Legacy Nitrogen Modeling to Improve Global Water Quality.Environmental science & technology · 2023Review
- Vulnerable Waters are Essential to Watershed Resilience.Ecosystems (New York, N.Y.) · 2022Article
- Improving global flood and drought predictions: integrating non-floodplain wetlands into watershed hydrologic models.Environmental research letters : ERL [Web site] · 2021Article
- Wetland restoration yields dynamic nitrate responses across the Upper Mississippi river basin.Environmental research communications · 2021Article
- Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions.Remote sensing · 2020Article
- Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993-2017).Remote sensing · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Surface water storage in small yet abundant landscape depressions-including wetlands and other small waterbodies-is largely disregarded in conventional hydrologic modeling practices. No quantitative evidence exists of how their exclusion may lead to potentially inaccurate model projections and understanding of hydrologic dynamics across the world's major river basins. To fill this knowledge gap, we developed the first-ever major river basin-scale modeling approach integrating surface depressions and focusing on the 450,000-km
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.