Results 151 to 160 of about 1,082,685 (298)
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
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
This study investigates the thermodynamic and microphysical characteristics of updrafts and downdrafts of tropical deep convective anvil clouds using in situ measurements. We found that parts of the downdrafts are in ice supersaturation in these clouds.
Sreehari Kizhuveettil +6 more
wiley +1 more source
Impact of fragmented urbanization on observed precipitation
This study investigates the impact of fragmented urban landscapes on downwind precipitation by applying an innovative observation‐centered approach to an extensive rain gauge network in Belgium. The approach classifies the observations based on the upwind urban land cover fraction, and compares precipitation indices between rural‐ and urban‐labeled ...
Amber Jacobs +2 more
wiley +1 more source
As inferred from the Sawyer–Eliassen analyses, the intense diabatic heating located slightly inside the radius of maximum tangential wind (RMW) associated with a compact eyewall is mainly responsible for the severe RI of Noru, in contrast to typhoon Goni (2020) at a slower spinup despite similar RMW, due to the weaker diabatic heating. The severe RI of
Thi‐Chinh Nguyen, Ching‐Yuang Huang
wiley +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
Physics-informed deep learning-based adaptive beamforming for phased array weather radar. [PDF]
Sallam T, Attiya AM.
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
ST-TriMambaUNet: A Weather Radar Echo Extrapolation-Based Spatiotemporal Sequence Prediction Network for Precipitation Nowcasting. [PDF]
Wang H, Sun Q, Shi Y.
europepmc +1 more source
Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models
Microwave satellite radiances remain largely underexploited in convection‐permitting limited‐area models. We assess the assimilation of humidity‐sensitive radiances from the MHS instrument in the operational ICON‐2I model, improving the precipitation forecast of a severe convective event over the Marche region, Italy, substantially by correcting ...
Marcello Grenzi +5 more
wiley +1 more source

