Results 101 to 110 of about 4,738 (245)

Three‐Dimensional Object Perception Can Emerge From Predictive Learning

Developmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT How do infants develop the ability to perceive objects in a 3D world? The theory of core knowledge suggests infants employ a few principles, such as cohesion, continuity, rigidity, and contact, to guide inference of objects. However, it is challenging to answer how object perception can be learned with similar constraints faced by infants and ...
John Day, Tushar Arora, Jirui Liu, Li Erran Li, Ming Bo Cai   +4 more
wiley   +1 more source

Contrasting Carbon–Water–Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning

GCB Bioenergy, Volume 18, Issue 7, July 2026.
Environmental drivers regulate carbon, water, and energy fluxes differently in perennial and annual bioenergy agroecosystems. Long‐term eddy covariance data and interpretable machine learning reveal broader temperature responses, more stable water‐use efficiency, and sustained air heating in perennials, contrasted with stronger atmospheric sensitivity ...
Koong Yi, Michael C. Benson, Taylor L. Pederson, Carl J. Bernacchi   +3 more
wiley   +1 more source

The underappreciated roles of fog and dew on vegetation and biocrusts

New Phytologist, Volume 251, Issue 1, Page 46-63, July 2026.
Summary Fog and dew represent minor components of ecosystem water budgets in most ecosystems. However, fog and dew can play an essential role in ecosystem dynamics and are particularly important for water‐limited systems. In addition to serving as direct water inputs, fog and dew can influence microclimate and water redistribution, thereby promoting ...
Lixin Wang, Yue Li, Mengyun Sun, Na Qiao
wiley   +1 more source

Wintertime land surface albedo of forested environments [PDF]

Forest canopies are complex 3-D structures at the interface between the atmosphere and the land surface which greatly affect radiative processes, especially across seasonally snow-covered domains. The increase in process complexity associated with these areas continues to be a source of uncertainty in land surface modelling.
openaire  

Long‐Term Variability and Spatial Differentiation of the Frost‐Free Period in Iceland

International Journal of Climatology, Volume 46, Issue 8, 30 June 2026.
Warming in Iceland (May–September) is expressed as fewer Tmin < 0°C days in the interior and more Tmin > 0°C days along the coasts. ABSTRACT Climate change in subarctic regions leads to significant transformations in thermal conditions; however, the long‐term variability of the frost‐free season (FFS)—and consequently, the growing period—remains poorly
Katarzyna Piotrowicz, Katarzyna Szyga‐Pluta, Alicja Szklarczyk, Ewa Przedpełska‐Wąsowicz   +3 more
wiley   +1 more source

The local cooling potential of land restoration in Africa

Communications Earth & Environment
Land restoration is becoming increasingly popular as a climate change mitigation and adaptation measure. It is suggested that resulting vegetation changes can impact the local surface temperature through biophysical processes such as albedo warming and ...
Jessica Ruijsch, Adriaan J. Teuling, Gregory Duveiller, Ronald W. A. Hutjes   +3 more
doaj   +1 more source

Remotely sensed monitoring of land surface albedo and ecosystem dynamics

, 2020
Title:   Remotely sensed monitoring of land surface albedo and ecosystem dynamics   Author(s):   Alibakhshi, Sara Date:   2020 Language:   en Pages:   77 + app. 141 Department:   Rakennetun ympäristön laitosDepartment of Built Environment ISBN:   978-952-64-0130-0 (electronic)978-952-64-0129-4 (printed) Series:   Aalto University publication series ...
openaire   +4 more sources

Nonlinear Extreme‐Heat Responses to the Spatial Progression of Deforestation in the Maritime Continent

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract The Maritime Continent (MC) has undergone rapid deforestation in recent decades, altering its land‐atmosphere energy balance. Using idealized Community Earth System Model simulations, we examined heat extremes under progressively increasing deforestation extents, from localized coastal clearing to complete forest removal.
Ting‐Hui Lee, Chun‐Hung Li, Hsin Hsu, Jie Hsu, Min‐Hui Lo   +4 more
wiley   +1 more source

Machine Learning Eliminates Reanalysis Warm Bias and Reveals Weaker Winter Surface Cooling Over Arctic Sea Ice

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract The surface energy budget governs Arctic sea‐ice growth/melt, yet observations are sparse, and reanalysis data sets suffer from systematic biases. Here, we train a neural network with observational data to bias‐correct hourly ERA5 fluxes over Arctic ice‐covered regions (≥70°N; sea‐ice concentration >80%) for 1994–2024.
Akil Hossain, Paul Keil, Harsh Grover, Ian M. Brooks, Christopher J. Cox, Michael R. Gallagher, Mats A. Granskog, Heather Guy, Stephen R. Hudson, P. Ola G. Persson, Matthew D. Shupe, Michael Tjernström, Jutta Vüllers, Von P. Walden, Felix Pithan   +14 more
wiley   +1 more source

A Novel Ice Cloud Optical Property Model for Passive and Active Remote Sensing Applications

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract A new broad‐spectrum ice cloud optical property model, namely the Passive‐Active Remote Sensing Consistent (PARSC) model, is developed to achieve consistency between passive and active sensor‐based ocean‐occurring ice cloud property retrievals.
J. Coy, P. Yang, K. Meyer, J. Riedi, X. Liu   +4 more
wiley   +1 more source