Results 51 to 60 of about 25,047 (199)
The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio +12 more
wiley +1 more source
Performance Assessment of M5 Tree Model and Genetic Programming in Tabriz Station Reference Evapotranspiration Modeling [PDF]
Evapotranspiration has a main role in water budget assessment and management. In plant water requirements and evapotranspiration volume calculation, firstly reference evapotranspiration (ET0) have to be computed and then plant water requirements can be ...
Mohammad Taghi Sattari +1 more
doaj
Evapotranspiration Profiles and Trends in Seasonally Dry and Seasonally Humid Tropical Forests
Moisture availability and vegetation are decisive factors in ET variations, which are greater in the Atlantic Forest. Precipitation contributes positively to ET variations (r = 0.20–0.67). Significant trends (p < 0.05) in ET were identified, with opposing patterns.
Lucas de Morais Teixeira +5 more
wiley +1 more source
Compound hot‐dry events occurring during the maize growing period are increasing significantly (p < 0.05) with time, with the median values ranging from 93 to 120 days. El Niño Southern Oscillation (ENSO) influences the variability of compound hot‐dry events with high significance (p < 0.05) positive Pearson correlation.
Mokhele Moeletsi, Mitsuru Tsubo
wiley +1 more source
Diurnal Air–Surface Temperature Dynamics in Hong Kong: An Analysis Across Land Use and Climate Zones
Daytime and nighttime air temperature (Ta) from automatic weather stations and land surface temperature (Ts) derived from ASTER and Landsat 8–9 are used to examine the relationship between Ta and Ts. The spatial and statistical characteristics of Ta − Ts dynamics are further analysed across land use (LU) and local climate zones (LCZ).
Ibrahim Ademola Adeniran +4 more
wiley +1 more source
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano +5 more
wiley +1 more source
Quantifying the Distribution of Evapotranspiration at PV and APV Sites Using Soil Moisture
Solar panels affect the distribution of water and energy reaching the ground causing changes in soil moisture, evapotranspiration and percolation. In the context of Agri-Photovoltaics those changes influence plant growth and yield as well as irrigation ...
Ulrike Feistel +4 more
doaj +1 more source
Dry–Hot Compound Events Driving the 2024 Pantanal Wildfires
Extreme wildfires in the Pantanal in 2024 were driven by a cascade of heatwaves, rainfall deficits and the absence of the annual flood pulse. These conditions dried soils and rivers, enhanced fuel accumulation and enabled early and intense fire outbreaks.
Liz B. C. Belém +14 more
wiley +1 more source
Projected Evolution of Climatic Aridity in Spain: Robust Signals and Model Uncertainties
This study examines the projected evolution of climatic aridity in Spain throughout the 21st century, using the UNEP Aridity Index and CMIP6 simulations under different emission scenarios and global warming levels. Despite model biases, results show a general increase in aridity across the country, particularly in southern regions and the Canary ...
Víctor Trullenque‐Blanco +5 more
wiley +1 more source
Prediction of the Reference Evapotranspiration Using a Chaotic Approach
Evapotranspiration is one of the most important hydrological variables in the context of water resources management. An attempt was made to understand and predict the dynamics of reference evapotranspiration from a nonlinear dynamical perspective in this
Wei-guang Wang +5 more
doaj +1 more source

