Plant biostimulants are substances that are obtained from a variety of sources and are applied in minute quantities to enhance plant growth and vigor. In this review we detail how the use of plant biostimulants may contribute to efforts to achieving a number of the UN Sustainable Development Goals.
Patrick Quille +3 more
wiley +1 more source
There is an increasing risk of drought and salinisation of soil and groundwater globally, including in Pacific Island countries such as Tonga. Irrigating crops with slightly saline water, such as that produced by emerging desalination technologies, could help to alleviate droughts.
Harry Myrans +9 more
wiley +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
Trends in Ocean S‐Isotopes May Be Influenced by Major LIP Events
Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Ross. R. Large +5 more
wiley +2 more sources
The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang +4 more
wiley +1 more source
Inverse methods and data assimilation in nonlinear ocean models [PDF]
Abstract An overview is given of the current status of inverse methods and data assimilation for nonlinear ocean models. The inverse theory for time dependent dynamical models is formulated and the most promising solution methods like simulated annealing, the representer method, and sequential methods based on Monte Carlo simulations, are discussed ...
openaire +3 more sources
Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley +1 more source
High-Resolution Global and Basin-Scale Ocean Analyses and Forecasts [PDF]
The feasibility of global ocean weather prediction was just emerging as the Global Ocean Data Assimilation Experiment (GODAE) began in 1997. Ocean weather includes phenomena such as meandering currents and fronts, eddies, the surface mixed layer and sea ...
Harley E. Hurlburt +18 more
doaj
Intensity dependence of El Niño and La Niña evolution and mixed‐layer heat‐budget processes
El Niño–Southern Oscillation (ENSO) intensity modulates the spatial, temporal, and dynamical evolution of events strongly. El Niño SST anomalies shift westward with decreasing intensity, while La Niña anomalies remain spatially fixed. Stronger events initiate earlier and persist longer than weak events.
Parya Adibi +3 more
wiley +1 more source
Improving coastal ocean pH estimates through assimilation of glider observations and hybrid statistical methods [PDF]
Ocean acidification monitoring and carbon accounting require accurate estimates of marine carbonate system variables, particularly in dynamic coastal regions where observations remain sparse.
J. P. Mattern +4 more
doaj +1 more source

