Results 161 to 170 of about 906 (214)

Variation of vegetation cover and the relationship with land surface temperature across Thailand (2007 to 2022). [PDF]

Sci Rep
Kliengchuay W, Phonphan W, Niampradit S, Kiangkoo N, Srimanus W, Niemmanee T, Arunplod C, Wen B, Guo Y, Herbreteau V, Tantrakarnapa K.   +10 more
europepmc   +1 more source

On the Future of Extreme Rainfall in New Zealand

Earth's Future, Volume 14, Issue 4, April 2026.
Abstract Extreme rainfall is intensifying under climate change, but projected changes in the intensity, frequency, and spatial extent of extremes are not yet well constrained for smaller nations like New Zealand. Here, we use high‐resolution (∼12 km) dynamically downscaled CMIP6 climate simulations to examine future changes in annual maximum one‐day ...
Muhammad Fikri Sigid, Luke J. Harrington, Hamish Lewis   +2 more
wiley   +1 more source

Soil Geochemical Controls on Heavy Metal(loid) Accumulation in Tuber Crops from Basalt-Derived Soils and Associated Dietary Intake Health Risks on Hainan Island, China. [PDF]

Toxics
Tang L, Yang J, Cai Y, Hu S, Gong Q, Zhang M, Li Y, Su L.   +7 more
europepmc   +1 more source

Disaggregation of Landslide Risk

Earth's Future, Volume 14, Issue 4, April 2026.
Abstract Quantifying and disaggregating landslide risk through probabilistic landslide risk analysis (PLRA) is critical for land use regulation and risk reduction. However, no transferable model for PLRA currently exists that resolves landslide consequences to individual buildings at regional scales.
William Pollock, Joseph Wartman
wiley   +1 more source

Vaccines for neglected tropical diseases: Learnings from COVID-19. [PDF]

Indian J Med Res
Kant L.
europepmc   +1 more source

Signatures of Wild Animal Life in Earth's Landscapes

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Animals shape Earth surface processes and landforms by displacing Earth surface materials and by making them more or less susceptible to geophysical processes. Despite increased recognition of the global significance of animal landscape “signatures”, analysis of their magnitude and generality has not been possible until now.
Z. Khan, G. L. Harvey, L. K. Albertson, S. F. Fritz, S. P. Rice, M. F. Johnson, J. M. Bull, G. V. Moore   +7 more
wiley   +1 more source

Environmental filtering and dispersal limitation jointly shape the taxonomic, functional and phylogenetic diversity in a subtropical karst forest of China. [PDF]

Front Plant Sci
Long Q, Zhan Z, Du H, Peng W, Su L, Zhang H, Zeng Z, Zeng F, Tan W, Mo Y, Deng X, Xie Y, Wang K.   +12 more
europepmc   +1 more source

Intelligent Shanghai Typhoon Model (ISTM): A Diffusion‐Based Downscaling Emulator From AIFS to Kilometer‐Scale Regional Reanalysis for Typhoon Forecasts

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Artificial‐intelligence weather prediction models have recently surpassed numerical models in large‐scale skill, but they still systematically underestimate typhoon intensity due to their reliance on coarse‐resolution training data from ERA5. To overcome this limitation, we constructed a bespoke 9‐km high‐resolution typhoon reanalysis (HiRes ...
Zeyi Niu, Wei Huang, Sirong Huang, Bo Qin, Mengqi Yang, Haofei Sun, Zhaoyang Huo, Haixia Xiao, Kairui Feng   +8 more
wiley   +1 more source

SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data. [PDF]

Sci Data
Liu Y, Zha Y, Ran G, Zhang Y, Shi L.
europepmc   +1 more source

Transfer Learning for Transformer‐Based Drought Forecasting Across Diverse Precipitation Products in India

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Effective drought management is critical for agriculture‐based economies like India. This study examines whether a transformer‐based architecture can function as a robust pre‐trained backbone for operational drought forecasting across India. We utilized a pre‐trained transformer model, which was trained on the Indian Monsoon Data Assimilation ...
Ashish Pathania, Vivek Gupta
wiley   +1 more source