Analysis of weather radar datasets through the implementation of a gridded rainfall-runoff model
This study develops a methodological framework to analyze raw weather radar datasets of
fine temporal and spatial scale by implementing them into rainfall-runoff simulations. Since …
fine temporal and spatial scale by implementing them into rainfall-runoff simulations. Since …
Spatial Reconstruction of Quantitative Precipitation Estimates Derived from Fengyun-2G Geostationary Satellite in Northeast China
H Wu, B Yong, Z Shen - Remote Sensing, 2023 - mdpi.com
With the development of the Chinese Fengyun satellite series, Fengyun-2G (FY-2G)
quantitative precipitation estimates (QPE) can provide real-time and high-quality …
quantitative precipitation estimates (QPE) can provide real-time and high-quality …
Fast spatial simulation of extreme high-resolution radar precipitation data using integrated nested Laplace approximations
Aiming to deliver improved precipitation simulations for hydrological impact assessment
studies, we develop a methodology for modelling and simulating high-dimensional spatial …
studies, we develop a methodology for modelling and simulating high-dimensional spatial …
Time-independent bias correction methods compared with gauge adjustment methods in improving radar-based precipitation estimates
Quantitative precipitation estimates obtained by weather radars are prone to errors. Gauge-
based observations are known to be complementary data for mitigating radar-based …
based observations are known to be complementary data for mitigating radar-based …
[HTML][HTML] Comparing and Optimizing Four Machine Learning Approaches to Radar-Based Quantitative Precipitation Estimation
M Liu, J Zuo, J Tan, D Liu - Remote Sensing, 2024 - mdpi.com
To improve radar-based quantitative precipitation estimation (QPE) methods, this study
investigated the relationship between radar reflectivity (Z) and hourly rainfall intensity (R) …
investigated the relationship between radar reflectivity (Z) and hourly rainfall intensity (R) …
Development of a Storm-Tracking Algorithm for the Analysis of Radar Rainfall Patterns in Athens, Greece.
This research work focuses on the development and application of a storm-tracking
algorithm for identifying and tracking storm cells. The algorithm first identifies storm cells on …
algorithm for identifying and tracking storm cells. The algorithm first identifies storm cells on …
Fast spatial simulation of extreme high-resolution radar precipitation data using INLA
Aiming to deliver improved precipitation simulations for hydrological impact assessment
studies, we develop a methodology for modelling and simulating high-dimensional spatial …
studies, we develop a methodology for modelling and simulating high-dimensional spatial …
Investigation of Orographic ZR Relationships for Three Locations in India
The ZR relationship, an empirical relationship between the radar reflectivity factor (Z) and
rain rate (R) is a critical component used to convert the radar signal into precipitation …
rain rate (R) is a critical component used to convert the radar signal into precipitation …
[HTML][HTML] Zależności ZR dla różnych typów opadów jako narzędzie do radarowego szacowania wielkości opadów= The ZR relationships for different types of …
MP Barszcz, T Stańczyk, A Brandyk - Przegląd Geograficzny, 2023 - rcin.org.pl
Disdrometr laserowy umożliwia pomiar wielkości odbiciowości (Z) i intensywności opadów
(R) z dużą rozdzielczością czasową. W tych badaniach wykorzystano 95 459 par danych ZR …
(R) z dużą rozdzielczością czasową. W tych badaniach wykorzystano 95 459 par danych ZR …