Paper Harvest Report
Date range: September 16, 2026
3 top-tier papers selected out of 119 total publications
Today’s Highlights
Today’s harvest surfaces three papers spanning river basin biogeochemistry, coastal hazards, and deep-ocean change. A Nature study reveals that agricultural liming is a significant, previously underestimated carbon sink in the Mississippi River Basin, with broad implications for riverine carbon budgets in major fluvial systems. A GRL paper links atmospheric river climatology to shallow landslide inventories in Southeast Alaska — providing a framework for climate-driven hazard assessment in coastal steeplands — while a second GRL study documents accelerating warming and salinification propagating into the deep Mediterranean, positioning that semi-enclosed basin as a natural laboratory for detecting early signals of accelerating ocean change.
Table of Contents
Top-Tier Journal Papers
Agricultural liming is a carbon sink in the Mississippi River Basin
Authors: Tim Jesper Suhrhoff, Christopher T. Reinhard, Yoshiki Kanzaki, Samuel Shou-En Tsao, Beck Woollen, Tom Reershemius et al.
Journal: Nature · DOI: 10.1038/s41586-026-11040-2
Matched topics: Mississippi River Basin, river biogeochemistry, carbon cycling
Abstract not available.
Cited in Nature News: A widespread agricultural practice is an unexpected CO₂ sink
Shallow Landslides Align With Atmospheric Rivers in Coastal Steeplands
Authors: Joshua J. Roering, Eliza R. Lawrence, Ries Plescher, Maryn A. Sanders, Deanna Nash, Annette I. Patton
Journal: Geophysical Research Letters · DOI: 10.1029/2026gl124294
Matched topics: river, coastal
Rapid, shallow landslides in coastal mountains are triggered by extreme precipitation, shaping topography and impacting human settlements. Using an inventory of >700 landslides mapped from satellite imagery (2009–2024) and an atmospheric river database (1981–2019), this study documents linkages between climatic drivers and the topographic context of landslides on Prince of Wales Island, Southeast Alaska. We observe a strong correlation between landslide occurrence and extreme atmospheric rivers during the autumn months. Notably, landslide initiation zones exhibit a strong directional bias toward the southwest‐to‐southeast, coinciding with the trajectory of landfalling extreme atmospheric rivers. Our frequency ratio analysis demonstrates that landslides are overrepresented on the windward aspect of steep (>35°) slopes at mid‐slope positions which enables us to map relative landslide susceptibility. Potential mechanisms include orographic forcing, wind‐driven precipitation, and forest canopy disturbance. These findings provide a framework for quantifying how slide‐prone landscapes co‐evolve with preferential climate forcing to inform hazard assessment.
Observational Evidence for Accelerated Warming and Salinification Propagating Into the Deep Mediterranean
Authors: Elena Terzić, Ivica Vilibić
Journal: Geophysical Research Letters · DOI: 10.1029/2026gl124518
Matched topics: coastal
Acceleration, rather than a gradual linear response, is emerging as a defining feature of ocean change in the Anthropocene. Surface‐forced warming propagates into the deep ocean over decades to centuries, but semi‐enclosed basins such as the Mediterranean Sea may respond more rapidly. Here, we analyse an in situ Mediterranean‐wide multiplatform data set spanning 1950–2025 and show that warming and salinification of the upper 1,000–2,000 m are not only continuing but accelerating, at increasing rates over the record. Acceleration rates reach up to 0.3°C decade⁻² for temperature and 0.1 decade⁻² for salinity. Coastal shallow basins exhibit additional acceleration in processes that precondition changes in deep basins, including warming of dense waters that cascade to the deep Mediterranean. These results indicate rapid, ongoing changes in Mediterranean water‐mass properties and position the basin as a natural laboratory for detecting and constraining accelerating ocean change.
AI for Science
How AI is changing research
- AI is dominating the conversation at Climate Week (MIT Tech Review, 2026-09-24) — AI tools for climate modeling, emissions tracking, and decarbonization strategy are now central to the annual Climate Week agenda, signaling a shift where AI is no longer peripheral to climate science but integral to how researchers and policymakers quantify and respond to the climate crisis.
Statistics
| Metric | Count |
|---|---|
| Journals searched | 11 |
| Total papers fetched | 119 |
| Passed deterministic filter | 5 |
| After LLM relevance filtering | 3 |
| Rejected (not relevant) | 6 |
| AI for Science items picked | 1 |
Papers by journal
| Journal | Papers |
|---|---|
| Nature | 1 |
| Geophysical Research Letters | 2 |
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