On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections
Authors
Keywords
-
Journal
CLIMATE DYNAMICS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-06-20
DOI
10.1007/s00382-021-05847-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community
- (2020) Daniela Jacob et al. Regional Environmental Change
- Statistical downscaling of daily temperature and precipitation over China using Deep Learning Neural Models: Localization and Comparison with other methods
- (2020) Lei Sun et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Statistical downscaling or bias adjustment? A case study involving implausible climate change projections of precipitation in Malawi
- (2020) R. Manzanas et al. CLIMATIC CHANGE
- Differential Credibility Assessment for Statistical Downscaling
- (2020) S. C. Pryor et al. Journal of Applied Meteorology and Climatology
- Improving Precipitation Estimation Using Convolutional Neural Network
- (2019) Baoxiang Pan et al. WATER RESOURCES RESEARCH
- Bias adjustment and ensemble recalibration methods for seasonal forecasting: a comprehensive intercomparison using the C3S dataset
- (2019) R. Manzanas et al. CLIMATE DYNAMICS
- An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment
- (2018) J. M. Gutiérrez et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- An R-based open framework for reproducible climate data access and post-processing
- (2018) M. Iturbide et al. ENVIRONMENTAL MODELLING & SOFTWARE
- An Ensemble Version of the E-OBS Temperature and Precipitation Data Sets
- (2018) Richard C. Cornes et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Influence of Bias Correcting Predictors on Statistical Downscaling Models
- (2017) Mathieu Vrac et al. Journal of Applied Meteorology and Climatology
- Reassessing Model Uncertainty for Regional Projections of Precipitation with an Ensemble of Statistical Downscaling Methods
- (2017) D. San-Martín et al. JOURNAL OF CLIMATE
- Statistical Downscaling in the Tropics Can Be Sensitive to Reanalysis Choice: A Case Study for Precipitation in the Philippines
- (2015) R. Manzanas et al. JOURNAL OF CLIMATE
- VALUE: A framework to validate downscaling approaches for climate change studies
- (2015) Douglas Maraun et al. Earths Future
- Reassessing Statistical Downscaling Techniques for Their Robust Application under Climate Change Conditions
- (2012) J. M. Gutiérrez et al. JOURNAL OF CLIMATE
- The ERA-Interim reanalysis: configuration and performance of the data assimilation system
- (2011) D. P. Dee et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- EC-Earth
- (2010) Wilco Hazeleger et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Probabilistic Multisite Precipitation Downscaling by an Expanded Bernoulli–Gamma Density Network
- (2008) Alex J. Cannon JOURNAL OF HYDROMETEOROLOGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started