The role of weather radar in rainfall estimation and its application in meteorological and hydrological modelling—A review

Z Sokol, J Szturc, J Orellana-Alvear, J Popova… - Remote Sensing, 2021 - mdpi.com
Radar-based rainfall information has been widely used in hydrological and meteorological
applications, as it provides data with a high spatial and temporal resolution that improve …

Advantage of 30‐s‐updating numerical weather prediction with a phased‐array weather radar over operational nowcast for a convective precipitation system

T Honda, A Amemiya, S Otsuka, J Taylor… - Geophysical …, 2022 - Wiley Online Library
Convective precipitation systems in the summer often cause sudden heavy precipitation and
largely affect various human activities, but the rapid evolution limits our predicting capability …

How skilful are nowcasting satellite applications facility products for tropical Africa?

PG Hill, THM Stein, AJ Roberts… - Meteorological …, 2020 - Wiley Online Library
Satellite nowcasting potentially provides a vital opportunity to mitigate against the risks of
severe weather in tropical Africa, where population growth and climate change are exposing …

Identifying the impact-related data uses and gaps for hydrometeorological impact forecasts and warnings

SE Harrison, SH Potter, R Prasanna… - Weather, Climate …, 2022 - journals.ametsoc.org
Impact forecasts and warnings (IFW) are key to resilience for hydrometeorological hazards.
Communicating the potential social, economic, and environmental hazard impacts allows …

Sensitivity to localization radii for an ensemble filter numerical weather prediction system with 30-second update

J Taylor, T Honda, A Amemiya, S Otsuka… - Weather and …, 2023 - journals.ametsoc.org
A sensitivity analysis for the horizontal localization scale is performed for a numerical
weather prediction (NWP) system that uses a 30-s update to refresh a 500-m mesh with …

DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes

VS Ionescu, G Czibula, E Mihuleţ - Procedia Computer Science, 2021 - Elsevier
Due to the increasing number of severe phenomena in many regions of the world, weather
nowcasting, which is the weather forecast for a short time period, is one of the most …

Global assessment of the capability of satellite precipitation products to retrieve landslide-triggering extreme rainfall events

O Marc, RAJ Oliveira, M Gosset, R Emberson… - Earth …, 2022 - journals.ametsoc.org
Rainfall-induced landsliding is a global and systemic hazard that is likely to increase with
the projections of increased frequency of extreme precipitation with current climate change …

Assessments of use of blended radar–numerical weather prediction product in short-range warning of intense rainstorms in localized systems (SWIRLS) for …

MK Hung, DD Tien, DD Quan, TA Duc, PTP Dung… - Atmosphere, 2023 - mdpi.com
This research presents a blended system implemented by the Vietnam National Center for
Hydro-Meteorological Forecasting to enhance the nowcasting and forecasting services of …

Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture

R Rahimi, P Ravirathinam, A Ebtehaj… - Journal of …, 2024 - journals.ametsoc.org
This paper presents a deep supervised learning architecture for 30 min global precipitation
nowcasts with a 4-hour lead time. The architecture follows a U-Net structure with …

Data assimilation for climate research: model parameter estimation of large‐scale condensation scheme

S Kotsuki, Y Sato, T Miyoshi - Journal of Geophysical Research …, 2020 - Wiley Online Library
This study proposes using data assimilation (DA) for climate research as a tool for optimizing
model parameters objectively. Mitigating radiation bias is very important for climate change …