Results 141 to 150 of about 25,048 (251)

Observation and Coordination Needs for Current, Near‐Future, and Next Generation Earth‐Observing SAR Systems

open access: yesEarth and Space Science, Volume 13, Issue 5, May 2026.
Abstract This paper summarizes an evaluation by experts of how coordination of Earth‐observing Synthetic Aperture Radar (SAR) missions among the world's space agencies could advance toward game‐changing scientific discoveries and fully realizing SAR's practical capability to address many issues facing society.
Cathleen E. Jones   +21 more
wiley   +1 more source

Intercomparison of Methods for Disentangling Local and Nonlocal Biophysical Impacts of Land Cover Changes

open access: yesEarth's Future, Volume 14, Issue 5, May 2026.
Abstract The climatic impacts of land cover changes (LCCs) due to altered biophysical properties include local effects in LCC areas and nonlocal effects in both LCC and non‐LCC areas resulting from atmospheric feedback. The biophysical impacts of LCC simulated by climate models typically represent only the total effects, that is, the sum of local and ...
Zijun Zhao   +9 more
wiley   +1 more source

Autumn snow expansion and spring divergence in Northeast China (2000–2020)

open access: yesAdvances in Climate Change Research
Mid-latitude snow has broadly declined, but Northeast China (NEC) shows a seasonal divergence that remains insufficiently explained. We integrated a cloud-free 500 m MODIS snow-phenology record with passive-microwave snow depth for 2000–2020 to map ...
Yao Xiao   +9 more
doaj   +1 more source

Phenology, growth, and fecundity of eight subarctic tundra species in response to snowmelt manipulations [PDF]

open access: yes, 2018
The snow cover extent is an important factor for the structure and composition of arctic and alpine tundra communities. Over the last few decades, snowmelt in many arctic and alpine regions has advanced, causing the growing season to start earlier and ...
Wipf, Sonja
core  

Tracking Water Dynamics of a Temperate Forest Under Drought and Non‐Drought Conditions Using Active and Passive Microwave and Optical Remote Sensing

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 5, May 2026.
Abstract Water status, water dynamics, and ecohydrological resilience of a protected German beech forest during the 2018–2020 multi‐year drought are assessed using over six years of multi‐frequency remote sensing data, integrating active, passive, and optical sensors with varying canopy penetration depths, highlighting the importance of monitoring ...
Florian M. Hellwig   +10 more
wiley   +1 more source

Cold hardening and dehardening in Salix [PDF]

open access: yes, 2003
The variation in cold hardiness in Salix in the autumn was investigated using clones of different geographic origins. In late growing season, the variation was small and inversely related to a phenotypic variation in potential growth rate.
Lennartsson, Mattias
core  

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

Indicators of Climate Change in the Northeast 2005 [PDF]

open access: yes, 2005
Climate changes. It always has and always will. What is unique in modern times is that human activities are now a significant factor causing climate to change.
Markham, Adam, Wake, Cameron P.
core   +1 more source

Multi‐Sensor Spatiotemporal Fusion for 30‐m Daily Gapless Snow Cover Mapping

open access: yesWater Resources Research, Volume 62, Issue 5, -Not available-.
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

Integrating Maximum Entropy Production Theory and Machine Learning to Improve Global Evapotranspiration Modeling

open access: yesWater Resources Research, Volume 62, Issue 5, -Not available-.
Abstract Accurate estimation of terrestrial evapotranspiration (ET) is vital for understanding global water and energy cycles. However, current global ET estimations are not well constrained. This study introduces an integrated framework combining the Maximum Entropy Production (MEP) theory with Random Forest (RF) model to improve global ET estimation.
Donghui Xu   +6 more
wiley   +1 more source

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