Radar-derived quantitative precipitation estimation in complex terrain over the eastern Tibetan Plateau
Sign Up to like & getrecommendations! Published in 2018 at "Atmospheric Research"
DOI: 10.1016/j.atmosres.2017.12.017
Abstract: Abstract Quantitative precipitation estimation (QPE) is one of the important applications of weather radars. However, in complex terrain such as Tibetan Plateau, it is a challenging task to obtain an optimal Z – R relation… read more here.
Keywords: precipitation estimation; precipitation; radar; tibetan plateau ... See more keywords
Improving Explainability of Deep Learning for Polarimetric Radar Rainfall Estimation
Sign Up to like & getrecommendations! Published in 2024 at "Geophysical Research Letters"
DOI: 10.1029/2023gl107898
Abstract: Machine learning‐based approaches demonstrate a significant potential in radar quantitative precipitation estimation (QPE) applications. In contrast to conventional methods that depend on local raindrop size distributions, deep learning (DL) can establish an effective mapping from… read more here.
Keywords: deep learning; precipitation estimation; radar; estimation ... See more keywords
Cascaded Downscaling–Calibration Networks for Satellite Precipitation Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3214083
Abstract: Precipitation is a critical process in the terrestrial hydrological circulation, affecting climate change, water resource management, and agricultural production. Satellite-borne observations have prominent advantages in macro and mesoscopic quantitative precipitation estimation. Nevertheless, they are subject… read more here.
Keywords: network; precipitation estimation; satellite precipitation; cascaded downscaling ... See more keywords
Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3126419
Abstract: Fast and accurate global tropical cyclone (TC) precipitation estimation from satellite observations is still a challenging issue. In this article, we propose an effective model based on a multitask convolutional neural network (CNN) to estimate… read more here.
Keywords: network; precipitation estimation; model; module ... See more keywords
Improving Quantitative Precipitation Estimation Using Adaptive Z – R Relationship Adjustment: Merging Weather Radar With Commercial Microwave Links
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3552794
Abstract: Meteorological operations rely heavily on quantitative precipitation estimation (QPE) derived from weather radars, calibrated against ground-based rain gauges. However, the limitations of rain gauge networks, namely their low spatial representativeness and often sparse and inhomogeneous… read more here.
Keywords: relationship; commercial microwave; precipitation estimation; radar ... See more keywords
Enhanced Multimodal-Fusion Network for Radar Quantitative Precipitation Estimation Incorporating Relative Humidity Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3585737
Abstract: Accurate, timely, and wide-ranging radar quantitative precipitation estimation (QPE) is crucial for effective water resource management and climate research. However, the insufficient consideration of surface meteorological conditions, such as moisture information, leads to significant biases… read more here.
Keywords: radar quantitative; precipitation; precipitation estimation; network ... See more keywords
Global and Regional Remote Sensing Precipitation Estimation, Evaluation, and Applications
Sign Up to like & getrecommendations! Published in 2018 at "Advances in Meteorology"
DOI: 10.1155/2018/5362638
Abstract: Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University,… read more here.
Keywords: precipitation estimation; estimation evaluation; remote sensing; regional remote ... See more keywords
Near-Realtime Quantitative Precipitation Estimation and Prediction (RealPEP)
Sign Up to like & getrecommendations! Published in 2021 at "Bulletin of the American Meteorological Society"
DOI: 10.1175/bams-d-21-0073.1
Abstract: Precipitation and Flash-Flood Predictions From Minutes to Days What: 250 participants discussed ideas and recent developments in the fields of quantitative precipitation estimation (QPE) based on the exploitation of measurements of polarimetric radars and microwave… read more here.
Keywords: realpep; prediction; precipitation; quantitative precipitation ... See more keywords
A retrospective hydrological uncertainty analysis using precipitation estimation ensembles for a poorly gauged basin in High Mountain Asia
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Hydrometeorology"
DOI: 10.1175/jhm-d-23-0170.1
Abstract: We study the impact of uncertain precipitation estimates on simulated streamflows for the poorly gauged Yarlung Tsangpo basin (YTB), High Mountain Asia (HMA). A process-based hydrological model at 0.5 km resolution is driven by an… read more here.
Keywords: poorly gauged; mountain asia; precipitation estimation; high mountain ... See more keywords
Ground radar precipitation estimation with deep learning approaches in meteorological private cloud
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Cloud Computing"
DOI: 10.1186/s13677-020-00167-w
Abstract: Accurate precipitation estimation is significant since it matters to everyone on social and economic activities and is of great importance to monitor and forecast disasters. The traditional method utilizes an exponential relation between radar reflectivity… read more here.
Keywords: precipitation estimation; precipitation; deep learning; radar ... See more keywords