[HTML][HTML] Hybrid forecasting: blending climate predictions with AI models
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …
learning) methods to harness and integrate a broad variety of predictions from dynamical …
Future global climate: scenario-based projections and near-term information
This chapter assesses simulations of future global climate change, spanning time horizons
from the near term (2021–2040), mid-term (2041–2060), and long term (2081–2100) out to …
from the near term (2021–2040), mid-term (2041–2060), and long term (2081–2100) out to …
[HTML][HTML] Global carbon budget 2023
Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their
redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate …
redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate …
The Meteorological Research Institute Earth System Model version 2.0, MRI-ESM2. 0: Description and basic evaluation of the physical component
Abstract The new Meteorological Research Institute Earth System Model version 2.0 (MRI-
ESM2. 0) has been developed based on previous models, MRI-CGCM3 and MRI-ESM1 …
ESM2. 0) has been developed based on previous models, MRI-CGCM3 and MRI-ESM1 …
[HTML][HTML] Hybrid forecasting: using statistics and machine learning to integrate predictions from dynamical models
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine
learning) methods to harness and integrate a broad variety of predictions from dynamical …
learning) methods to harness and integrate a broad variety of predictions from dynamical …
[HTML][HTML] The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification
Polar amplification–the phenomenon where external radiative forcing produces a larger
change in surface temperature at high latitudes than the global average–is a key aspect of …
change in surface temperature at high latitudes than the global average–is a key aspect of …
Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs
This study used a 30-year observed (1985–2014) precipitation, and the latest Coupled
Model Intercomparison Phase 6 (CMIP6) Shared Socioeconomic Pathways (SSPs) based …
Model Intercomparison Phase 6 (CMIP6) Shared Socioeconomic Pathways (SSPs) based …
[HTML][HTML] NorCPM1 and its contribution to CMIP6 DCPP
Abstract The Norwegian Climate Prediction Model version 1 (NorCPM1) is a new research
tool for performing climate reanalyses and seasonal-to-decadal climate predictions. It …
tool for performing climate reanalyses and seasonal-to-decadal climate predictions. It …
Improved decadal predictions of North Atlantic subpolar gyre SST in CMIP6
Due to its wide‐ranging impacts, predicting decadal variations of sea surface temperature
(SST) in the subpolar North Atlantic remains a key goal of climate science. Here, we …
(SST) in the subpolar North Atlantic remains a key goal of climate science. Here, we …