Results 61 to 70 of about 1,272,248 (329)

Study on the influence of ECMWF short-term forecast field assimilation on regional mesoscale model forecast

open access: yes暴雨灾害
The forecast of the global numerical weather prediction model is often used as the background field to drive the regional mesoscale weather models, and its forecast quality has an important impact on the prediction skill of regional models. The mesoscale
Dengxin HE   +8 more
doaj   +1 more source

Bias adjustment of infrared-based rainfall estimation using Passive Microwave satellite rainfall data [PDF]

open access: yes, 2017
This study explores using Passive Microwave (PMW) rainfall estimation for spatial and temporal adjustment of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System(PERSIANN-CCS).
Adler   +29 more
core   +1 more source

Bivariate Rainfall Frequency Analysis and Rainfall-runoff Analysis for Independent Rainfall Events [PDF]

open access: yesJournal of Korea Water Resources Association, 2012
In this study, the bivariate frequency analysis of the independent annual rainfall event series was done to be used for the runoff analysis, whose results were also compared with those from the conventional univariate frequency analysis. This study was applied to three differently-sized basins such as the Joongryang Stream, Chunggye Stream, and Ooyi ...
Cheol-Soon Park   +2 more
openaire   +1 more source

Fluorine‐Free Soft Nanocomposites for High‐Speed Liquid Impact Repellence

open access: yesAdvanced Functional Materials, EarlyView.
Fluorine‐free soft nanocomposite coatings are developed using silicone oil‐mediated mechanical‐stiffness control, enabling ‘dry’ liquid‐repellent surfaces that resist high‐speed water jet impacts up to ∼60 m/s. By tuning nanoparticle loading and oil content, the coatings also achieve >90% optical transparency, amphiphobicity with impact resistance to ...
Priya Mandal   +4 more
wiley   +1 more source

Analysis and comparison of water vapor transport features and circulation anomalies during the super-strong Meiyu period of 2020 and 1998*

open access: yesWeather and Climate Extremes
2020 and 1998 are the strongest Meiyu years in recent decades. The characteristics of the super-strong Meiyu precipitation and water vapor sources in 2020 and 1998 were compared, and the atmospheric circulation anomalies and the forcing factor SST were ...
Hao Yang   +6 more
doaj   +1 more source

Diurnal variability of tropical rainfall retrieved from combined GOES and TRMM satellite information [PDF]

open access: yes, 2002
Recent progress in satellite remote-sensing techniques for precipitation estimation, along with more accurate tropical rainfall measurements from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) and precipitation radar (PR ...
Gao, X   +6 more
core   +1 more source

Metal–Organic Frameworks for Gaseous Pollutant Management: From Capture to Neutralization and Reutilization

open access: yesAdvanced Functional Materials, EarlyView.
This review maps how MOFs can manage hazardous gases by combining adsorption, neutralization, and reutilization, enabling sustainable air‐pollution control. Covering chemical warfare agent simulants, SO2, NOx, NH3, H2S, and volatile organic compounds, it highlights structure‐guided strategies that boost selectivity, water tolerance, and cycling ...
Yuanmeng Tian   +8 more
wiley   +1 more source

Major heavy rainfall events in China from April to October in 2021

open access: yes暴雨灾害
Based on the daily precipitation data of 2, 424 stations and conventional weather chart data in mainland China in 2021, a statistical analysis of the main heavy rain weather processes from April to October of that year was conducted. The main influencing
Airong Min, Yishan Liao, Wen ZHANG
doaj   +1 more source

Prediction of Rainfall Using Intensified LSTM Based Recurrent Neural Network with Weighted Linear Units

open access: yesAtmosphere, 2019
Prediction of rainfall is one of the major concerns in the domain of meteorology. Several techniques have been formerly proposed to predict rainfall based on statistical analysis, machine learning and deep learning techniques.
S. Poornima, M. Pushpalatha
semanticscholar   +1 more source

Interpreting Rainfall Anomalies Using Rainfall's Nonnegative Nature [PDF]

open access: yesGeophysical Research Letters, 2019
AbstractPrevious studies emphasized the role of transient disturbances in linking interannual variation of average rainfall (IVAR; average period > 1 month) to external climate forcings. Researchers conventionally use transient eddy‐driven horizontal fluxes of certain variables to explain the IVAR, which is not universally applicable to disturbance ...
Shixin Wang   +6 more
openaire   +1 more source

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