Image de couverture de livre

Selection of CMIP6 Models for Regional Precipitation Projection and Climate Change Assessment in the Jhelum and Chenab River Basins

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jamal, Saad Ahmed, Nusrat, Ammara, Azmat, Muhammad, Nusrat, Muhammad Osama
Format:	Preprint
Publié:	2026
Sujets:	Atmospheric and Oceanic Physics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Assessment of Climate Change Impacts on the Precipitation and Temperature: A Case Study on Krishna River Basin
par: Syam, Nandikanti Siva Sai, et autres
Publié: (2023)

Assessment of Abrupt Shifts in CMIP6 Models using Edge Detection
par: Terpstra, Sjoerd, et autres
Publié: (2024)

Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
par: González-Abad, Jose, et autres
Publié: (2024)

Investigating the Robustness of Extreme Precipitation Super-Resolution Across Climates
par: Largeau, Louise, et autres
Publié: (2025)

Causal Mechanisms of Subpolar Gyre Variability in CMIP6 Models
par: Falkena, Swinda K. J., et autres
Publié: (2024)

Unraveling the Global Teleconnections of Indian Summer Monsoon Clouds: Expedition from CMIP5 to CMIP6
par: Dutta, Ushnanshu, et autres
Publié: (2021)

Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6
par: Effenberger, Nina, et autres
Publié: (2024)

Atmospheric Centers of Action: current features and expected changes from simulations with CMIP5 and CMIP6 models
par: Mokhov, I. I., et autres
Publié: (2024)

Towards Location-Specific Precipitation Projections Using Deep Neural Networks
par: Kumar, Bipin, et autres
Publié: (2025)

Projecting Hurricane Risk in Atlantic Canada under Climate Change
par: Naeini, Saeed Saviz, et autres
Publié: (2025)

Multidecadal forcing of European windstorm losses in CMIP6-DAMIP models
par: Cusack, Stephen
Publié: (2025)

CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
par: Liu, Shuchang, et autres
Publié: (2025)

Interpretable AI-Driven Discovery of Terrain-Precipitation Relationships for Enhanced Climate Insights
par: Xu, Hao, et autres
Publié: (2023)

Do Climate Models Need Microphysical and Convective Parameterizations to Generate Accurate Precipitation Fields?
par: Moreno, Raul, et autres
Publié: (2026)

Nonlocal, Pattern-aware Response and Feedback Framework for Regional Climate Change
par: Kooloth, Parvathi, et autres
Publié: (2024)

Data Driven Deep Learning for Correcting Global Climate Model Projections of SST and DSL in the Bay of Bengal
par: Pasula, Abhishek, et autres
Publié: (2025)

Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation
par: Ji, Weiwen, et autres
Publié: (2024)

Diagnosing Biases in Tropical Atlantic-Pacific Multi-Decadal Teleconnections Across CMIP6 and E3SM Models
par: Xia, Yan, et autres
Publié: (2025)

Spatial variation of future trends in Atlantic upwelling cells from two CMIP6 models
par: Flügel, Raquel, et autres
Publié: (2025)

Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models
par: Shmuel, Assaf, et autres
Publié: (2024)

Contributions of greenhouse gases and solar activity to global climate change from CMIP6 models simulations
par: Mokhov, Igor I., et autres
Publié: (2024)

Flow Matching for Convective-Scale Precipitation Downscaling
par: Wetherell, Tom
Publié: (2026)

Guided Diffusion Sampling for Precipitation Forecast Interventions
par: Ueyama, Ayumu, et autres
Publié: (2026)

Assessing Future Wind Energy Potential under Climate Change: The Critical Role of Multi-Model Ensembles in Robustness Assessment
par: Lira-Loarca, Andrea, et autres
Publié: (2025)

Moisture Budgets and Circulation Analogs: Diagnosing Dynamic and Thermodynamic Precipitation Change
par: Doane-Solomon, Robert, et autres
Publié: (2026)

Towards better representation of Indian summer monsoon rainfall in CMIP6 models: Evaluation of MISO and MJO simulation
par: Dutta, Ushnanshu, et autres
Publié: (2024)

A Novel Dynamic Bias-Correction Framework for Hurricane Risk Assessment under Climate Change
par: Snaiki, Reda, et autres
Publié: (2025)

Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
par: Hess, Philipp, et autres
Publié: (2022)

Oya: Deep Learning for Accurate Global Precipitation Estimation
par: Brempong, Emmanuel Asiedu, et autres
Publié: (2025)

A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
par: González-Abad, Jose
Publié: (2024)

STAA: Spatio-Temporal Alignment Attention for Short-Term Precipitation Forecasting
par: Chen, Min, et autres
Publié: (2024)

MMWSTM-ADRAN+: A Novel Hybrid Deep Learning Architecture for Enhanced Climate Time Series Forecasting and Extreme Event Prediction
par: Ahmed, Shaheen Mohammed Saleh, et autres
Publié: (2025)

Centennial-scale variability of the Atlantic Meridional Circulation in CMIP6 models shaped by Arctic-North Atlantic interactions and sea ice biases
par: Mehling, Oliver, et autres
Publié: (2024)

Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models
par: Christensen, Katie, et autres
Publié: (2024)

Prithvi WxC: Foundation Model for Weather and Climate
par: Schmude, Johannes, et autres
Publié: (2024)

TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
par: Huang, Cheng, et autres
Publié: (2024)

Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior
par: Wang, Yue, et autres
Publié: (2026)

Exploring Randomly Wired Neural Networks for Climate Model Emulation
par: Yik, William, et autres
Publié: (2022)

Towards Physically Consistent Deep Learning For Climate Model Parameterizations
par: Kühbacher, Birgit, et autres
Publié: (2024)

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models
par: Nath, Pritthijit, et autres
Publié: (2024)