Paper Harvest Report

Date range: August 07, 2026

4 top-tier papers selected out of 63 total publications

Today’s Highlights

Today’s four papers span hydrologic modeling scales from tropical land surfaces to the Greenland ice sheet. An attention-based stochastic framework applied to over 100 sites in the Mississippi River Basin produces climate-informed, spatiotemporally coherent flood portfolios for interannual-to-decadal insurance risk assessment — filling a critical gap between seasonal forecasts and multidecadal projections. The first ice-sheet-wide moulin census from 10-m Sentinel-2 imagery maps 5,869 drainage features across all six Greenland basins, finding that river-fed moulins dominate (88.5%), with density correlating strongly with meltwater runoff and low elevation. On the land-use side, CLM5-palm simulations through 2100 show oil palm expansion reduces runoff by 3.3% and surface water availability by 3.3% across the tropics, with outcomes strongly dependent on what land cover was replaced.

Table of Contents

  1. Today’s Highlights
  2. Top-Tier Journal Papers
    1. Attention‐Based Stochastic Simulation of Climate‐Informed Spatiotemporal Flood Risk for Multisite Insurance Portfolios
    2. Satellite Mapping of the Moulin Distribution Across the Entire Greenland Ice Sheet
    3. Impacts of Future Oil Palm Expansion on Carbon and Hydrological Fluxes Across the Tropics
    4. Gamma Rays Signal the Vulnerability of Forest to Extreme Drought
  3. Statistics
    1. Papers by journal
  4. Filtering Criteria

Top-Tier Journal Papers

Attention‐Based Stochastic Simulation of Climate‐Informed Spatiotemporal Flood Risk for Multisite Insurance Portfolios

Authors: Adam Nayak, Pierre Gentine, Upmanu Lall

Journal: Geophysical Research Letters · DOI: 10.1029/2026gl123701

Matched topics: river, flood, seasonal

Flood risk is correlated in space and time, challenging insurance systems that rely on diversification across assets. Financial instruments governing flood coverage are typically structured as 1–5‐year contracts, exposing portfolios to climate‐driven risk at interannual‐to‐decadal scales. Yet existing tools address climate risk either through seasonal forecasts extending only months or multidecadal projections misaligned with fiscal horizons, leaving a critical gap in actionable flood risk simulation. We introduce a multisite flood simulation framework combining attention‐based analog retrieval with stochastic generation of multivariate flood frequency, intensity, and duration sequences. Applied to over 100 sites in the Mississippi River Basin, the model produces spatiotemporally coherent flood portfolios conditioned on interannual climate variability. Explainable AI attribution paired with wavelet analysis links simulated clustering to large‐scale climate drivers, yielding physically interpretable flood clusters for portfolio‐scale loss simulation. The framework provides plausible, out‐of‐sample flood risk catalogs for interannual‐to‐decadal insurance risk assessment and financial planning.

Satellite Mapping of the Moulin Distribution Across the Entire Greenland Ice Sheet

Authors: Yuhan Wang, Kang Yang, Jianing Wei, Wenzhuo Zhang, Dongyang Du, Wensong Zhang

Journal: Geophysical Research Letters · DOI: 10.1029/2026gl122279

Matched topics: hydrology, river, runoff

Moulins drain meltwater from the surface of the Greenland Ice Sheet (GrIS), affecting subglacial hydrology. However, the moulin distribution across the entire GrIS remains unclear. Using 10‐m Sentinel‐2 imagery from the summer of 2019, we manually mapped GrIS‐wide major moulins, excluding undetectable minor moulins. A total of 5,869 moulins were unevenly distributed across the six major GrIS basins; the strong‐melting southwest basin hosted the largest proportion of moulins (42.2%), while the fast‐flowing southeast basin contained the fewest (4.2%). River‐fed moulins outnumbered lake‐draining moulins (88.5% vs. 11.5%), indicating that meltwater primarily drains with diurnal variability rather than abruptly through rapid lake drainages. High‐density moulins clustered near the ice margin, whereas 6.6% extended into the accumulation zone. Furthermore, moulin density was correlated with greater meltwater runoff, lower elevations, and likely lower surface slopes. This first major moulin data set provides a critical benchmark for investigating surface‐to‐bed meltwater connections of the GrIS.

Impacts of Future Oil Palm Expansion on Carbon and Hydrological Fluxes Across the Tropics

Authors: Ru Xu, Yuanchao Fan, Ashehad A. Ali, David J. Beerling, Maria Val Martin

Journal: Geophysical Research Letters · DOI: 10.1029/2025gl120846

Matched topics: runoff, surface water

Future oil palm expansion could substantially alter tropical carbon and water cycles, but its regional impacts remain unclear. Using CLM5‐palm, we simulate large‐scale oil palm expansion from 2023 to 2100 in Southeast Asia, Africa and the Amazon. Expansion increases total vegetation carbon by 9.7%, decreases soil carbon by 5.9% and raises net ecosystem production more than fivefold, reflecting oil palm’s high productivity. Vegetation carbon responses depend strongly on previous land use, with forest‐to‐oil palm conversion causing the largest losses and cropland conversions yielding modest gains. Hydrologically, expansion enhances evapotranspiration (+2.5%), reducing surface water availability (−3.3%), runoff (−3.3%) and soil moisture (−3.7%). Land‐surface temperature responses reflect opposing biogeophysical (−0.54°C) and biogeochemical (+0.18°C) effects, with regional contrasts: cooling in Africa (−0.37°C), warming in the Amazon (+0.23°C), and near offsets in Southeast Asia. These results highlight strong regional differences and climate‐dependent trade‐offs, with important implications for sustainable land‐use planning under continued warming.

Gamma Rays Signal the Vulnerability of Forest to Extreme Drought

Authors: Gavan S. McGrath, Joseph B. Fontaine, Richard Van Dongen, Katinka X. Ruthrof

Journal: Geophysical Research Letters · DOI: 10.1029/2026gl122182

Matched topics: drought, surface water

Extreme drought and heat are driving forest die‐off globally, yet regional‐scale mapping of subsurface water storage capacity, governing forest vulnerability, remains a major challenge. Here, we demonstrate that airborne gamma‐ray spectrometry (GRS) of potassium (40K) decay provides a powerful proxy for subsurface constraints on water availability. In southwestern Australia, we found that spatial patterns of forest die‐off during an extreme 2023–2024 drought‐heat event were strongly predicted by surficial 40K concentrations. While GRS measures the upper ∼30 cm of soil, plot‐scale electrical resistivity tomography suggests that elevated 40K signals shallow granite or gneiss bedrock, to depths reaching several tens of meters due to leaching of mobile elements, remnant bedrock minerals, erosional thinning of regolith and biological nutrient recycling from K‐rich saprolite. Airborne GRS can map forest vulnerability across highly leached landscapes, which cover one‐third of Earth’s ice‐free land surface. This enables targeted adaptive management of forests for future drought‐heat intensification.

Statistics

Metric Count
Journals searched 11
Total papers fetched 63
Passed deterministic filter 7
After LLM relevance filtering 4
Rejected (not relevant) 3
AI for Science items picked 0

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