Results 211 to 220 of about 1,616,544 (277)

Ecosystem‐Scale Methane Emissions From Peatlands of the Hudson Bay Lowlands

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.
Abstract Northern peatlands are important sources of methane (CH4) in the atmosphere. However, the magnitude of CH4 emissions and their response to environmental factors are poorly constrained within the Hudson Bay Lowlands (HBL), the largest contiguous peatland complex in North America. This study investigated seasonal (April–November) eddy covariance‐
A. Bieniada, E. R. Humphreys
wiley   +1 more source

Robust increase in observed heat storage by the global subsurface. [PDF]

open access: yesSci Adv
Cuesta-Valero FJ   +5 more
europepmc   +1 more source

Enhancing Regional Ensemble‐Variational Data Assimilation for Convection‐Permitting Prediction With Combination of the Dual‐Localization and Scales Blending of Global and Regional Ensembles

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract This study proposes a new scheme combining ensemble blending and dual‐localization of ensemble error covariance in an ensemble‐variational (EnVar) framework to better account for both the multi‐scale characteristics of the background and background error covariance for high‐resolution data assimilation and forecasting.
Yuanbing Wang   +5 more
wiley   +1 more source

Global Kilometer‐Scale Climate Storylines Using Spectral Nudging

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract Effective climate adaptation benefits from detailed, actionable information on how specific extreme events are influenced by climate change. Here we present the first global, kilometer‐scale coupled modeling framework that enables counterfactual reconstructions of recent weather events, including extremes, in different climates.
Amal John   +22 more
wiley   +1 more source

Capturing Spatiotemporal and Subgrid Variability in Global Land Surface Albedo Parameterization

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract Accurate surface albedo parameterization is critical for modeling Earth's energy balance. Yet, many schemes rely on static look‐up tables or semi‐empirical formulations that fail to capture spatiotemporal variations and complex radiative interactions. This study develops a physics‐informed machine‐learning parameterization using 19 years (2003–
Akarsh Ralhan, Xin‐Zhong Liang
wiley   +1 more source

The UFLUX ensemble of multiple-scale carbon, water, and energy fluxes. [PDF]

open access: yesSci Data
Zhu S   +9 more
europepmc   +1 more source

Comparing Assimilation of Remotely Sensed Discharge Derived From SWOT and Landsat Into a Global Hydrological Model

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract The Surface Water and Ocean Topography (SWOT) satellite has enabled river discharge estimation for global rivers including ungauged regions. This remotely sensed discharge (SwRSQ) generated from SWOT's cloud‐penetrating measurements of river widths, water surface elevation, and slope is expected to have improved accuracy and spatiotemporal ...
Y. Ishikawa   +6 more
wiley   +1 more source

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