Paper Harvest Report
Date range: July 02, 2026
2 top-tier papers selected out of 117 total publications
Today’s Highlights
The deadliest U.S. flash flood since 1976 — the July 4, 2025 Texas Hill Country disaster on the Guadalupe River — is analyzed in a BAMS study showing that coupled WoFS-FLASH forecasts predicted flooding location and magnitude with 5+ hours of lead time, demonstrating the power of driving hydrologic ensembles with storm-scale atmospheric models. A complementary Geophysical Research Letters study from Colorado mountain watersheds reveals how lateral landscape features — beaver ponds, wetlands, mine adits, and iron fens — govern the timing and chemistry of solute export at stream outlets, with direct implications for downstream water quality prediction and management.
Table of Contents
Top-Tier Journal Papers
WoFS-FLASH coupled forecasts for the July 2025 Texas Hill Country Flash Flood Disaster
Authors: Jonathan J. Gourley, Derek Stratman, Nusrat Yussouf, Patrick Burke, Adam Clark, Pamela Heinselman, Louis Wicker
Journal: Bulletin of the American Meteorological Society · DOI: 10.1175/bams-d-25-0252.1
Matched topics: river, flood
On 4 July 2025, rainfall ≥ 254 mm (≥ 10 in.) fell on the Guadalupe River basin headwaters in Kerr County, Texas, causing the deadliest flash flood disaster in the U.S. since the Big Thompson, Colorado, event of 1976. Flooded Locations And Simulated Hydrographs (FLASH) predictions driven by Multi-Radar Multi-Sensor (MRMS) rainfall estimates correctly identified the specific location and magnitude of the flash flooding threat with 1–2 hours of lead time. Addition of storm-scale model precipitation forecasts to drive FLASH could potentially increase lead time, but providing accurate and precise, short lead-time rainfall forecasts is particularly challenging. In a hydrologic context, spatial locations of extreme rainfall are paramount as basin boundaries can segregate incoming rainfall into different watersheds, reducing their combined hydrologic impact, or conversely, amplifying the impact by concentrating rainfall into a single watershed. In this case, rainfall was concentrated within the Guadalupe River basin headwaters. NSSL’s Warn-on-Forecast System (WoFS) targets these short lead times for which predictions may become increasingly precise, but are best described probabilistically owing to the random nature of individual thunderstorms. In this study, ensemble rainfall forecasts from an experimental 1-km grid-spacing WoFS (WoFS-1km) configuration are used to drive an ensemble of FLASH hydrologic forecasts (WoFS-FLASH) for the 4 July 2025 event. The WoFS-FLASH system accurately predicted the location and magnitude of the event in at least 50% of members with more than 5 h of lead time, providing strong motivation to develop a coupled WoFS-FLASH for real-time applications.
Upgradient Storage Features Control Timing and Magnitude of Solute Export at Stream Outlets
Authors: Sara Warix, Keira Johnson, Kenneth Swift Bird, Curtis Beutler, Austin Shirley, Wendy S. Brown, Kenneth H. Williams
Journal: Geophysical Research Letters · DOI: 10.1029/2025gl119121
Matched topics: flood
Concentration‐discharge (C‐Q) relations are used to infer water and solute storage and transport but are often informed by coarse‐temporal data. Here, we use high‐frequency and long‐term C‐Q datasets from two adjacent, but geologically and geomorphically distinct, watersheds in Colorado to evaluate how vertical and lateral flowpaths collectively control outlet water quality. We calculate C‐Q slopes at monthly, annual, and long‐term time scales and evaluate hysteresis behavior for three major solute classes—geogenics, metals, and biogenics. Geogenic C‐Q behavior is the most consistent across temporal scales and reflects vertical flowpath shifts from snowmelt to groundwater. In contrast, metals and biogenics have greater variability, particularly during high‐flow periods, as driven by laterally distributed landscape features, such as mine adits, an iron fen, floodplains, wetlands, and beaver ponds. Lateral heterogeneity in solute stores exerts major control on downstream chemistry and should be considered when predicting water quality changes.
Statistics
| Metric | Count |
|---|---|
| Journals searched | 11 |
| Total papers fetched | 117 |
| Passed deterministic filter | 11 |
| After LLM relevance filtering | 2 |
| Rejected (not relevant) | 9 |
| AI for Science items picked | 0 |
Papers by journal
| Journal | Papers |
|---|---|
| Bulletin of the American Meteorological Society | 1 |
| Geophysical Research Letters | 1 |
Filtering Criteria
Topics: hydrology, hydrologic model, river, runoff, streamflow, reservoir, water management, flood, drought, seasonal, land surface model, climate change, hydropower, surface water, irrigation, earth system model, estuary, coastal, freshwater discharge, river plume, ocean biogeochemistry, marine heatwave, paleohydrology, paleoclimate, Quaternary, Holocene, Pleistocene, fluvial geomorphology, river terrace, loess, drainage network, river capture, landscape evolution, luminescence dating
Fields: engineering, environmental science, computer science, geology, geography