Results 61 to 70 of about 2,564 (257)
The sunscreen‐inspired nano‐pesticide, MCB@URFSL, provides UV‐shielding, enhanced rainfastness, and laccase‐responsive delivery for improved fungicidal efficacy and high ecological safety. ABSTRACT Fungicides are a crucial tool for protecting crops and ensuring consistent food supply.
Jin Yan +10 more
wiley +1 more source
Polymer‐based hydrogels have emerged as promising materials for atmospheric water harvesting (AWH) due to their high water affinity, tunable network structure, and excellent moisture adsorption‐desorption performance. Functional hydrogel systems enable efficient water capture and controlled release under low‐energy conditions, offering a sustainable ...
Swagata Datta +6 more
wiley +1 more source
COMPARISON OF MEAN RAIN CATCH OF VARIOUS GAUGE NETWORKS
After the substitution of stereo for horizontal orifices of rain gauges on open steep slopes, the mean network catch in a subbasin with prevailing windward exposure was increased by 11%. In a subbasin with leeward exposure it was increased by only 4%.
openaire +1 more source
Analysis of extreme rainfall in Barcelona using a microscale rain gauge network [PDF]
AbstractExtreme storms registered by the urban rain gauge network installed and supported by CLABSA (Clavegueram de Barcelona S. A.) in Barcelona in the period 1994–2001 have been investigated. Eleven rain events presenting intensities for durations between 5 min and 24 h with return periods equal to or larger than 5 years for any of the network gauges
M. Carmen Casas +2 more
openaire +3 more sources
Why should space-time variability of rainfall be considered in precision agriculture for soybean in Piracicaba, São Paulo state? [PDF]
Brazil ranks among the world's largest soybean producers; however, significant gaps in crop yield still exist, primarily linked to weather conditions. This study quantifies rainfall spatial variability using two dense networks of rain gauges and examines
Thais Letícia dos Santos +5 more
doaj +1 more source
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke +32 more
wiley +1 more source
The Influence of Rain Gauge Network Density on the Performance of a Hydrological Model
Rain gauge data suffers from spatial errors because of precipitation variability within short distances and due to sparse or irregular network. Use of interpolation is often unreliable to evaluate due to the aforementioned irregular sparse networks. This study is carried out in the Nette River catchment of Lower Saxony to alleviate the problem of using
George Andiego +3 more
openaire +2 more sources
The availability of reliable and spatially distributed rainfall data is a key element flood and landslide risk assessment, both for forecasting and post-event analysis.
Michele De Biase +7 more
doaj +1 more source
Strong Dependence of Extreme Convective Precipitation Intensities on Gauge Network Density
Extreme convective precipitation on subhourly scales is notoriously misrepresented in rain gauge‐based observations, but uncertainties are weakly quantified at the 1 to 30 km scale.
Katharina Schroeer +2 more
doaj +1 more source
Bayesian Bias Correction of Satellite Rainfall Estimates for Climate Studies
Advances in remote sensing have led to the use of satellite-derived rainfall products to complement the sparse rain gauge data. Although these products are globally and some regional bias corrected, they often show substantial differences relative to ...
Margaret Wambui Kimani +2 more
doaj +1 more source

