Results 51 to 60 of about 1,500 (207)
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models [PDF]
Precipitation nowcasting, which predicts rainfall intensity in the near future, has been studied by meteorologists for decades. Currently, computer vision techniques, especially optical flow based methods, are widely adopted by observatories since they ...
Cheng, Ji +9 more
core +1 more source
Extreme precipitation nowcasting using deep generative model [PDF]
Extreme precipitation can often cause serious hazards such as flooding and landslide. Both pose a threat to human lives and lead to substantial economic loss.
Bi, Haoran (author)
core
Comparison of accuracy of forecasting methods of convective precipitation
This article is focused on the comparison of the accuracy of quantitative, numerical, statistical and nowcasting forecasting methods of convective precipitation including three flood events that occurred in the Zlin region in the years 2015 - 2017 ...
Šaur David, Pavlík Lukáš
doaj +1 more source
PPNet: A more effective method of precipitation prediction
Precipitation nowcasting plays an important role in the early warning of disasters and many other aspects of people's lives. In this study, we address the problem of radar reflectivity image extrapolation, which has great significance for precipitation ...
Lina Xun +6 more
doaj +1 more source
Precipitation has an important impact on people’s daily life and disaster prevention and mitigation. However, it is difficult to provide more accurate results for rainfall nowcasting due to spin-up problems in numerical weather prediction models ...
Fuhan Zhang +4 more
doaj +1 more source
Probability calibration for precipitation nowcasting
Reliable precipitation nowcasting is critical for weather-sensitive decision-making, yet neural weather models (NWMs) can produce poorly calibrated probabilistic forecasts. Standard calibration metrics such as the expected calibration error (ECE) fail to capture miscalibration across precipitation thresholds.
Lauri Kurki +2 more
openaire +2 more sources
Short-term rainfall nowcasting: using rainfall radar imaging [PDF]
As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis can be a very useful focus for research into developing methods for rainfall prediction.
O\u27Connor, Edel +7 more
core
Application of PFI-4DVar Data Assimilation Technique to Nowcasting of Numerical Model
Nowcasting is mainly based on radar echo or satellite image extrapolation method. However, the prediction ability of extrapolation method decreases with time, because this method cannot describe the physical mechanism during the occurrence, development ...
Jiang Wenjing, Liang Xudong
doaj +1 more source
Reconstructing and Nowcasting the Rainfall Field by a CML Network
Currently, the opportunistic method to estimate rainfall using commercial microwave links (CMLs) has been shown as an efficient way to complement traditional instruments in terms of spatial‐temporal resolution and coverage.
Peng Zhang, Xichuan Liu, Mingzhong Zou
doaj +1 more source
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos +8 more
wiley +1 more source

