Results 161 to 170 of about 41,487 (297)
Phytoplankton and Temperature Control Seasonal Dynamics of Greenhouse Gases in a Large River
Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.Abstract Rivers are a dynamic source of greenhouse gases (GHGs), yet the temporal variability and controlling mechanisms of their CO2:CH4:N2O ratios remain poorly constrained. We monitored the three GHGs in the German river Elbe over 5 years at two sites to identify seasonal controls as well as travel time related and site‐specific mechanisms driving ...
Matthias Koschorreck +4 more
wiley +1 more source
Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.Abstract Large‐scale canopy models utilizing satellite data typically rely on simplified models to describe radiation absorption by vegetation. However, these models' accuracy can be limited when applied to heterogeneous row‐oriented canopies because of assumptions of canopy homogeneity, or oversimplification of the impacts of heterogeneity. This study
María A. Ponce de León +8 more
wiley +1 more source
Ecosystem‐Scale Methane Emissions From Peatlands of the Hudson Bay Lowlands
Journal 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
Journal 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
Sensitivity of Stratocumulus–Cumulus Transitions in a Cloudy Energy Balance Model
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.Abstract Stratocumulus (Sc) clouds have high impact on the climate system because of their strong cooling effect (albedo). In the subtropical oceans they naturally break up into cumulus (Cu) as environmental conditions change, a phenomenon called Stratocumulus–Cumulus Transition (SCT).
George Datseris
wiley +1 more source
Development of response models for the Earth Radiation Budget Experiment (ERBE) sensors. Part 2: Analysis of the ERBE integrating sphere ground calibration [PDF]
An explicit solution of the spectral radiance leaving an arbitrary point on the wall of a spherical cavity with diffuse reflectivity is obtained. The solution is applicable to spheres with an arbitrary number of openings of any size and shape, an ...
Halyo, Nesim, Taylor, Deborah B.
core +1 more source
Exploring Ways to Reduce Biases in a Hybrid Global Climate Model With Machine‐Learned Moist Physics
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.Abstract In a previous study (Han et al., 2023, https://doi.org/10.1029/2022ms003508), we implemented a deep convolutional residual neural network for moist physics into the 3‐D real‐geography CAM5 and carried out a stable multi‐year integration successfully. However, the simulation has large temperature and moisture biases in high latitude troposphere
Yilun Han, Guang J. Zhang, Yong Wang
wiley +1 more source
Water 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
Multi‐Sensor Spatiotemporal Fusion for 30‐m Daily Gapless Snow Cover Mapping
Water Resources Research, Volume 62, Issue 5, May 2026.Abstract High spatiotemporal resolution remote sensing data is crucial for monitoring heterogeneous mountainous snow cover. Although spatiotemporal fusion presents a promising approach for high‐resolution snow monitoring, cloud contamination and sparse observations remain a critical constraint on its large‐scale and long‐term implementation. To address
Jinhang Wu +5 more
wiley +1 more source
Water Resources Research, Volume 62, Issue 5, May 2026.Abstract Thermal infrared‐based remote sensing of surface energy fluxes has traditionally relied on high spatial resolution satellite data with revisit frequencies on the order of weeks. In this study, we evaluate a biophysics‐based analytical surface energy balance model for predicting latent energy (LE) and sensible heat (H) fluxes using proximal ...
James F. Cross +4 more
wiley +1 more source