Paper Harvest Report

Date range: September 18, 2026

4 top-tier papers selected out of 29 total publications

Today’s Highlights

SWOT satellite data assimilation leads today’s harvest, with a new study showing that assimilating real SWOT water surface elevation into a large-scale hydrodynamic model improves discharge estimates at over 60% of USGS gauges across the Ohio River Basin — including sites without direct satellite overpasses. A complementary study examines how atmospheric rivers co-occurring with fronts and mesoscale convective systems escalate flood risk at higher AR intensity scales, while a Southeast Asia flood database quantifies the growing burden of pluvial hydrometeorological disasters. Rounding out the harvest, a paleoclimate reconstruction from the Weihe Basin reveals that coupled ecological-hydrological feedbacks drove an early Pleistocene land surface temperature rebound that offset the global cooling trend — a caution for future warming projections.

Table of Contents

  1. Today’s Highlights
  2. Top-Tier Journal Papers
    1. Assimilation of SWOT Water Surface Elevation Enhances Simulations of River Dynamics in the Ohio River Basin
    2. Co‐Occurring Weather Systems Vary by Atmospheric River Scale Across the United States
    3. Linking Extreme Precipitation to Pluvial Hydrometeorological Disasters in Southeast Asia Using a Long‐Term Event Database
    4. Ecological and Hydrological Modulation of Land Surface Temperature in the East Asian Monsoon Margin During Pliocene‐Pleistocene Global Cooling
  3. AI for Science
    1. How AI is changing research
  4. Statistics
    1. Papers by journal
  5. Filtering Criteria

Top-Tier Journal Papers

Assimilation of SWOT Water Surface Elevation Enhances Simulations of River Dynamics in the Ohio River Basin

Authors: Yeosang Yoon, Augusto Getirana, Sujay V. Kumar, Elyssa Collins, Jerry W. Wegiel

Journal: Geophysical Research Letters · DOI: 10.1029/2026gl122610

Matched topics: river, water management, surface water

Surface Water and Ocean Topography (SWOT) provides water surface elevation (WSE) that can constrain river hydraulics through data assimilation (DA), but basin‐scale impacts of assimilating real observations remain uncertain under heterogeneous availability and regulation. We assimilate node‐level SWOT WSE into a large‐scale hydrodynamic model over the Ohio River Basin using an ensemble Kalman filter and test river‐network‐aware localization. Assimilation improves discharge skill at most of the 66 USGS gages, including sites without direct SWOT overpasses, with ∼60% showing higher KGE and ~3% degrading. These improvements suggest that SWOT WSE assimilation extends beyond direct observations, with localization adding benefit. Impacts are governed by transferable constraints, including quality control (QC), residual observation uncertainty, and river‐network context. Comparison with SWOT‐derived discharge at 27 overlap sites provides complementary context and supports using WSE as a direct hydrodynamic constraint. These results show that SWOT WSE assimilation improves discharge estimates under real‐world constraints, supporting water management in data‐sparse and transboundary basins globally.

Co‐Occurring Weather Systems Vary by Atmospheric River Scale Across the United States

Authors: Diya Kamnani, Travis A. O’Brien, Wei‐Ming Tsai, Kwesi Twentwewa Quagraine, J. David Neelin, Jennifer L. Catto, et al.

Journal: Geophysical Research Letters · DOI: 10.1029/2026gl123975

Matched topics: river, flood, seasonal

Atmospheric Rivers (ARs) often co‐occur with other weather systems, including fronts, low‐pressure systems (LPSs), and mesoscale convective systems (MCSs), which can amplify precipitation and flood risk. While extreme rainfall is frequently linked to multiple interacting features, how these systems co‐occur with AR intensity scales and regions remains unclear. Using ERA5‐derived feature masks and satellite data, we quantify spatiotemporal overlaps between ARs and other systems. AR + Front combinations dominate across much of the conterminous U.S. In higher AR scales (4–5), more complex MCS‐related combinations become increasingly common, particularly in DJF and MAM and along the West Coast, while limited LPS‐related co‐occurrences appear mainly in JJA and SON and are confined to regions such as the Gulf of Mexico and offshore Pacific genesis regions. In contrast, AR‐only occurrences dominate in some inland western regions. Extreme precipitation exhibits seasonal variation, with distinct co‐occurring systems contributing across seasons.

Linking Extreme Precipitation to Pluvial Hydrometeorological Disasters in Southeast Asia Using a Long‐Term Event Database

Authors: Junjun Li, Jingyu Wang, Hui Su, Xianfeng Wang, Edward Park, Raju Pathak, et al.

Journal: Geophysical Research Letters · DOI: 10.1029/2026gl124877

Matched topics: river, flood

Frequent pluvial hydrometeorological disasters in Southeast Asia (SEA) threaten lives and property, yet the region lacks a unified disaster data set for risk management and research. This study develops a provincial‐level data set integrating multi‐source hazard reports with precipitation data and identifies empirical rainfall reference values associated with reported disaster occurrences to inform early‐warning applications. All pluvial hydrometeorological disasters are identified, and their categorization, spatial extent, and temporal variability are systematically examined. Tropical cyclones are the most frequent disaster type, followed by general floods, riverine floods, flash floods, and wet landslides. The impacts of pluvial hydrometeorological disasters are uneven across SEA. The Philippines experiences the highest disaster frequency, largest population exposure, and greatest financial loss, while Myanmar records the highest death toll. Disaster frequency and impacts show increasing trends across SEA, although these trends may partly reflect improved reporting completeness over time, highlighting the need to strengthen resilience and preparedness.

Ecological and Hydrological Modulation of Land Surface Temperature in the East Asian Monsoon Margin During Pliocene‐Pleistocene Global Cooling

Authors: Chen Chen, Hanzhi Zhang, Huayu Lu, Cheng Zhao, Yuqiang Zeng, Jian Yu

Journal: Geophysical Research Letters · DOI: 10.1029/2026gl124338

Matched topics: river, Pleistocene

The response of terrestrial climate to future warming remains debated. The Pliocene, with CO₂ levels similar to today, is an important analog for the future. The East Asian monsoon marginal region is one of the most climate sensitive regions on Earth. Based on contemporaneous aeolian sediments and aquatic‐influenced alluvial sediments from the Weihe Basin, we quantitatively reconstructed land surface temperatures using lipid biomarkers during the Pliocene‐Pleistocene. A source‐affinity classifier model of alluvial‐fan sediments demonstrates that sedimentary changes do not obscure the reconstructed paleotemperature trend. Our results show continuous cooling during 4.5–2.7 Ma in line with global temperature decline, followed by an early Pleistocene rebound despite continued global cooling. Integrated regional vegetation and moisture records suggest that coupled ecological and hydrological feedbacks combined with weakened lake thermal buffering were likely the primary drivers of this temperature rebound. Ecological‐hydrological modulation forced regional land‐surface feedbacks to progressively offset the background cooling tendency.

AI for Science

How AI is changing research

Statistics

Metric Count
Journals searched 11
Total papers fetched 29
Passed deterministic filter 7
After LLM relevance filtering 4
Rejected (not relevant) 3
AI for Science items picked 1

Papers by journal

Journal Papers
Geophysical Research Letters 4

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