Results 201 to 210 of about 222,622 (307)

Simulating Arctic Greening: Microbial Responses in Thawing Yedoma Permafrost

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Arctic permafrost soils and sediments store vast amounts of organic carbon. With global warming intensifying, these soils are increasingly exposed to microbial decomposition. Further, Arctic warming and longer growing seasons drive regional greening, potentially accelerating the degradation of the previously frozen organic matter through ...
André Faust, Christoph Rosinger, Jan Olaf Melchert, Janet Rethemeyer   +3 more
wiley   +1 more source

A hybrid artificial neural network-random forest model for enhanced wet bulb temperature prediction in arid urban environments. [PDF]

Sci Rep
Kafy AA, Rafi AH, Alsulamy S, Shohan AAA, Baky AA, Bahiru TK.   +5 more
europepmc   +1 more source

Climate‐driven intraspecific shifts in seed germination phenology: Consequences for native temperate woodland restoration and regeneration

PLANTS, PEOPLE, PLANET, EarlyView.
As climate change alters seasonal patterns, temperate tree populations face a growing risk of phenological mismatch, where seed dispersal and germination no longer align with favourable conditions for survival. This study predicted how warming by the end of the century will affect seed dormancy breaking and germination in populations of three UK tree ...
Roberta L. C. Dayrell, Charlotte E. Seal, Kaitalin White, Elena Fouce Hernandez, Pablo Gómez Barreiro, Lee Oliver, Adam Donaldson, Ted Chapman, Efisio Mattana   +8 more
wiley   +1 more source

Quasi-global, land-only, high-resolution and spatially averaged climate variables from downscaled CMIP6 models for climate impact research

Jahn S, Gaythorpe KAM, Dorigatti I, Winskill P, Hinsley W, Wainwright CM, Toumi R, Ferguson NM.   +7 more
europepmc   +1 more source

Limitation of super-resolution machine learning approach to precipitation downscaling. [PDF]

Sci Rep
Reddy PJ, Matear R, Taylor J, Thatcher M.   +3 more
europepmc   +1 more source

Integrating habitat suitability, socioeconomics, and infrastructure to assess global biological invasion risk under climate change: A case study of the rice stem borer, Chilo suppressalis

Pest Management Science, EarlyView.
We developed an invasion risk index framework that integrates socioeconomic and environmental data using an entropy‐weighting method. The case study highlights the need for region‐specific biosecurity measures for Chilo suppressalis. Abstract BACKGROUND Biological invasion risk is a multifaceted concept that, according to the Food and Agriculture ...
Jinsol Hong, Minyoung Lee, Yongeun Kim, Yun‐Sik Lee, June Wee, Jaejun Song, Taewoo Kim, Jung‐Joon Park, Florian Kraxner, Woo‐Kyun Lee, Youngil Song, Kijong Cho   +11 more
wiley   +1 more source

High-resolution reanalysis biological ocean data from the Copernicus Marine Service Information for Philippine marine research. [PDF]

Data Brief
Concolis BMM.
europepmc   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Seasonal forecasting of dissolved organic carbon in a Mediterranean catchment: Enhancing upstream control of disinfection by-product precursors. [PDF]

Environ Monit Assess
Pedregal-Montes A, Mercado-Bettín D, Futter M, Ledesma JLJ, Farré MJ, Marcé R, Jennings E.   +6 more
europepmc   +1 more source

Comparison of two numerical weather prediction models in simulating south foehn in the Alpine Rhine Valley

Quarterly Journal of the Royal Meteorological Society, EarlyView.
ICON outperforms COSMO in simulating a south foehn event in the Alpine Rhine Valley, with improved accuracy in temperature, wind speed, and foehn timing. This enhanced performance likely results from a more accurate representation of surface energy balance and gravity wave pattern on the lee side of the mountain.
Yue Tian, Julian Quimbayo Duarte, Shweta Singh, Juerg Schmidli   +3 more
wiley   +1 more source