<i>EvatCrop</i>: a novel hybrid quasi-fuzzy artificial neural network (ANN) model for estimation of reference evapotranspiration. [PDF]
Banerjee G, Sarkar U, Sarkar S, Ghosh I.
europepmc +1 more source
Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables. [PDF]
Wu T, Zhang W, Jiao X, Guo W, Hamoud YA.
europepmc +1 more source
Botanic and heritage gardens as living laboratories in the age of the polycrisis
Societal Impact Statement Cities face intertwined crises of climate, biodiversity loss and social disconnection. We show how botanic and heritage gardens can help address these challenges as living laboratories to generate place‐based evidence and public engagement.
Kevin Frediani
wiley +1 more source
Estimation of reference evapotranspiration using some class-A pan evaporimeter pan coefficient estimation models in Mediterranean-Southeastern Anatolian transitional zone conditions of Turkey. [PDF]
Usta S.
europepmc +1 more source
Peri‐urban areas in West Africa are expanding rapidly, often with limited planning and growing exposure to climate risks. Our study shows that agroforestry systems in these landscapes, especially diverse home gardens, can store substantial amounts of carbon when they include structurally complex stands and species with traits that favor biomass ...
Sèdoami Flora Dogbo +8 more
wiley +1 more source
Precision agriculture for water saving: The case of processing tomato and table grape
Agriculture faces increasing pressure to produce high‐quality food while reducing water use under intensifying climate change and water scarcity. This study compared sensor‐based precision irrigation, drone monitoring, and near‐infrared spectroscopy with conventional farmer management in table grape and processing tomato production systems.
Giuseppe Ferrara +6 more
wiley +1 more source
Climate‐smart land management: Greenhouse gas outcomes and social and economic pathways to adoption
Climate change poses one of the greatest threats to natural and working lands, reducing the resilience of agricultural and forest productivity. Because land management is a leading source of greenhouse gas (GHG) emissions, climate‐smart management practices are being implemented to reduce net emissions while sustaining yields.
Kristina Bartowitz +13 more
wiley +1 more source
Nowcasting convective cores using deep learning
Key findings: •$$ \bullet $$ Network for Nowcasting Convective Cores (NetNCC) has considerable potential for convective storm nowcasting and the development of early warning systems for extreme rainfall. •$$ \bullet $$ Skilful nowcasts of convective cores are obtained at fine spatial resolutions (<30km$$ <30\kern0.15em \mathrm{km} $$) for up to 2 hr ...
Jawairia A. Ahmad +5 more
wiley +1 more source
Revisiting bare‐ground evaporation in a high‐resolution numerical weather prediction system
An improved method is proposed to parameterize evaporation in numerical weather prediction models. The figure shows dew‐point temperature forecast error (standard deviation of forecast error and bias) versus lead time over the North Plains region during spring 2022 for three parameterizations: CTL, the α$$ \alpha $$ method of Jacquemin and Noilhan; IFS:
Vincent Fortin +4 more
wiley +1 more source
ABSTRACT Groundwater discharge plays a key role in maintaining habitat suitability for cold‐water fish by generating streamflow and modulating temperatures. However, the thermal influence depends on groundwater source depth and how far groundwater travels from the point of discharge to a receiving stream.
Tyelyn Brigino +6 more
wiley +1 more source

