Results 191 to 200 of about 6,415,065 (280)
Assimilation of AMSU‐A all‐sky observations can be increased up to fivefold if spatial observation‐error correlations are accounted for properly. New correlation estimates derived using data from ECMWF and the UK Met Office reveal that correlation length‐scales are between 75 and 150 km for AMSU‐A channels peaking in the troposphere. This is attributed
Rishabh Bhatt +9 more
wiley +1 more source
An emotion recognition dataset using millimeter wave radar and physiological reference signals. [PDF]
Cai J, Zhang X, Pan Y, Zhou H.
europepmc +1 more source
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo +3 more
wiley +1 more source
Microwave scattering signatures for distinguishing healthy and infested date palm trees. [PDF]
Moradi A, Bait-Suwailam MM.
europepmc +1 more source
Neighborhood methods are commonly used in verification to avoid the double‐penalty issue. This study evaluates such methods for the assimilation of infrared and visible satellite observations and extends them to multiscale assimilation. Moreover, a novel technique is tested aimed at mitigating complex biases and structural errors in real‐world model ...
Lukas Kugler +4 more
wiley +1 more source
Heart failure risk prediction based on machine learning and interpretability analysis. [PDF]
Li H.
europepmc +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
Unsupervised Identification of Driving Styles from Naturalistic Driving Data Through a Context-Normalized Framework. [PDF]
Xu C +5 more
europepmc +1 more source

