A generative deep learning approach to stochastic downscaling of precipitation forecasts

A generative deep learning approach to stochastic downscaling of precipitation forecasts

Despite continuous improvements, precipitation forecasts are still not as accurate and reliable as those of other meteorological variables. A major contributing factor to this is that several key processes affecting precipitation distribution and intensity occur below the resolved scale of global we...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Harris, L, McRae, A, Chantry, M, Dueben, P, Palmer, T
Формат:	Journal article
Хэвлэсэн:	American Geophysical Union 2022

Ижил төстэй зүйлс

Machine learning emulation of gravity wave drag in numerical weather forecasting
-н: Chantry, M, зэрэг
Хэвлэсэн: (2021)

Deep learning for downscaling tropical cyclone rainfall to hazard-relevant spatial scales
-н: Vosper, E, зэрэг
Хэвлэсэн: (2023)

Downscaling Taiwan precipitation with a residual deep learning approach
-н: Li-Huan Hsu, зэрэг
Хэвлэсэн: (2024-05-01)

Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting
-н: Matthew Chantry, зэрэг
Хэвлэсэн: (2021-07-01)

Customized deep learning for precipitation bias correction and downscaling
-н: F. Wang, зэрэг
Хэвлэсэн: (2023-01-01)

Improvement of time downscaling method for grid precipitation forecast
-н: Couhua LIU, зэрэг
Хэвлэсэн: (2020-12-01)

Deep learning for quality control of surface physiographic fields using satellite Earth observations
-н: T. Kimpson, зэрэг
Хэвлэсэн: (2023-12-01)

Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI
-н: Chantry, M, зэрэг
Хэвлэсэн: (2021)

An improved time downscaling method for numerical model precipitation forecast
-н: Xiang SU, зэрэг
Хэвлэсэн: (2024-10-01)

Study of a dynamic downscaling scheme for quantitative precipitation forecasting
-н: Y. Li, зэрэг
Хэвлэсэн: (2015-05-01)

Dynamically vs. empirically downscaled medium-range precipitation forecasts
-н: G. Bürger
Хэвлэсэн: (2009-09-01)

Benchmark Tests for Numerical Weather Forecasts on Inexact Hardware
-н: Dueben, P, зэрэг
Хэвлэсэн: (2014)

Characteristics and East Downscaling Forecast Model of Summer Precipitation in Northwest China
-н: Jiangtao ZHU, зэрэг
Хэвлэсэн: (2023-06-01)

Deep learning for stochastic precipitation generation – deep SPG v1.0
-н: L. J. Bird, зэрэг
Хэвлэсэн: (2023-07-01)

Evaluation of the Dynamical–Statistical Downscaling Model for Extended Range Precipitation Forecasts in China
-н: Hongke Cai, зэрэг
Хэвлэсэн: (2022-10-01)

Development and comparative evaluation of a stochastic analog method to downscale daily GCM precipitation
-н: S. Hwang, зэрэг
Хэвлэсэн: (2013-11-01)

Stochastic rainfall interpolation and downscaling
-н: L. G. Lanza, зэрэг
Хэвлэсэн: (2001-01-01)

Fast and accurate learned multiresolution dynamical downscaling for precipitation
-н: J. Wang, зэрэг
Хэвлэсэн: (2021-10-01)

Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation
-н: Nidhi Nishant, зэрэг
Хэвлэсэн: (2023-01-01)

A Stochastic Representation of Subgrid Uncertainty for Dynamical Core Development
-н: Subramanian, A, зэрэг
Хэвлэсэн: (2019)

Can bias correction and statistical downscaling methods improve the skill of seasonal precipitation forecasts?
-н: Manzanas, R, зэрэг
Хэвлэсэн: (2017)

Forecasting green roof detention performance by temporal downscaling of precipitation time-series projections
-н: V. Pons, зэрэг
Хэвлэсэн: (2022-06-01)

Postprocessing East African rainfall forecasts using a generative machine learning model
-н: Antonio, RA, зэрэг
Хэвлэсэн: (2025)

A Deep Learning-Based Downscaling Method Considering the Impact on Typhoons to Future Precipitation in Taiwan
-н: Shiu-Shin Lin, зэрэг
Хэвлэсэн: (2024-03-01)

A Novel Reference-Based and Gradient-Guided Deep Learning Model for Daily Precipitation Downscaling
-н: Li Xiang, зэрэг
Хэвлэсэн: (2022-03-01)

On the Extrapolation of Generative Adversarial Networks for Downscaling Precipitation Extremes in Warmer Climates
-н: Neelesh Rampal, зэрэг
Хэвлэсэн: (2024-12-01)

Precipitation Dynamical Downscaling Over the Great Plains
-н: Xiao‐Ming Hu, зэрэг
Хэвлэсэн: (2018-02-01)

An evaluation of statistical model for downscaling precipitation /
-н: Shahaboddin Hossein Gholizadeh, 1980-, зэрэг
Хэвлэсэн: (2012)

Statistical downscaling of precipitation extreme events /
-н: Wan Nor Hanisah Wan Hamzah, 1986-, зэрэг
Хэвлэсэн: (2012)

An evaluation of statistical model for downscaling precipitation /
-н: Khairul Anuar Mohamad, 1985-, зэрэг
Хэвлэсэн: (2010)

An evaluation of statistical model for downscaling precipitation /
-н: Shahaboddin Hossein Gholizadeh, 1980-
Хэвлэсэн: (2012)

Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution
-н: Yichen Wu, зэрэг
Хэвлэсэн: (2022-01-01)

Statistical Downscaling of ERA-Interim Forecast Precipitation Data in Complex Terrain Using LASSO Algorithm
-н: Lu Gao, зэрэг
Хэвлэсэн: (2014-01-01)

Deep learning for twelve hour precipitation forecasts
-н: Lasse Espeholt, зэрэг
Хэвлэсэн: (2022-09-01)

Deep learning for statistical downscaling of sea states
-н: M. Michel, зэрэг
Хэвлэсэн: (2022-04-01)

COMPARISON AND EVALUATION OF MACHINE-LEARNING-BASED SPATIAL DOWNSCALING APPROACHES ON SATELLITE-DERIVED PRECIPITATION DATA
-н: H. Zhu, зэрэг
Хэвлэсэн: (2023-12-01)

A pragmatic approach for downscaling precipitation in alpine-scale complex terrain
-н: Barbara Früh, зэрэг
Хэвлэсэн: (2006-12-01)

Stochastic bias correction of dynamically downscaled precipitation fields for Germany through Copula-based integration of gridded observation data
-н: G. Mao, зэрэг
Хэвлэсэн: (2015-04-01)

Performance Evaluation of Statistical Downscaling Model (SDSM) in Forecasting Precipitation in two Arid and Hyper arid Regions
-н: M. Rezaei, зэрэг
Хэвлэсэн: (2014-12-01)

Stochastic downscaling of precipitation in complex orography: a simple method to reproduce a realistic fine-scale climatology
-н: S. Terzago, зэрэг
Хэвлэсэн: (2018-11-01)