Development of new ensemble methods based on the performance skills of regional climate models over South Korea
In this paper, the prediction skills of five ensemble methods for temperature and precipitation
are discussed by considering 20 yr of simulation results (from 1989 to 2008) for four regional …
are discussed by considering 20 yr of simulation results (from 1989 to 2008) for four regional …
[HTML][HTML] Desert air incursions, an overlooked aspect, for the dry spells of the Indian summer monsoon
TN Krishnamurti, A Thomas, A Simon… - Journal of the …, 2010 - journals.ametsoc.org
Desert Air Incursions, an Overlooked Aspect, for the Dry Spells of the Indian Summer
Monsoon in: Journal of the Atmospheric Sciences Volume 67 Issue 10 (2010) Jump to …
Monsoon in: Journal of the Atmospheric Sciences Volume 67 Issue 10 (2010) Jump to …
Indian summer monsoon simulations: Usefulness of increasing horizontal resolution, manual tuning, and semi-automatic tuning in reducing present-day model biases
Abstract Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison
Project Phase 5 (CMIP5) are unable to resolve the spatial and temporal characteristics of the …
Project Phase 5 (CMIP5) are unable to resolve the spatial and temporal characteristics of the …
Diverse skill of seasonal dynamical models in forecasting South Asian monsoon precipitation and the influence of ENSO and IOD
J Stacey, K Salmon, T Janes, A Colman, F Colledge… - Climate Dynamics, 2023 - Springer
Abstract The South Asia Seasonal Climate Outlook Forum (SASCOF) issues seasonal tercile
precipitation forecasts to provide advance warning of anomalously dry or wet monsoon …
precipitation forecasts to provide advance warning of anomalously dry or wet monsoon …
[HTML][HTML] Model biases in the simulation of the springtime North Pacific ENSO teleconnection
Model Biases in the Simulation of the Springtime North Pacific ENSO Teleconnection in:
Journal of Climate Volume 33 Issue 23 (2020) Jump to Content Jump to Main Navigation …
Journal of Climate Volume 33 Issue 23 (2020) Jump to Content Jump to Main Navigation …
Seasonal prediction of sea surface temperature anomalies using a suite of 13 coupled atmosphere–ocean models
TN Krishnamurti, A Chakraborty… - Journal of …, 2006 - journals.ametsoc.org
Improved seasonal prediction of sea surface temperature (SST) anomalies over the global
oceans is the theme of this paper. Using 13 state-of-the-art coupled global atmosphere …
oceans is the theme of this paper. Using 13 state-of-the-art coupled global atmosphere …
[PDF][PDF] Building Asian climate change scenario by multi-regional climate models ensemble. Part I: surface air temperature
Under the Asia-Pacific Network for Global Change (APN) project 'Building Asian Climate
Change Scenarios by Multi-Regional Climate Models Ensemble'(RMIP III, Regional Model …
Change Scenarios by Multi-Regional Climate Models Ensemble'(RMIP III, Regional Model …
[HTML][HTML] Improving global model precipitation forecasts over India using downscaling and the FSU superensemble. Part I: 1–5-day forecasts
TN Krishnamurti, AK Mishra… - Monthly Weather …, 2009 - journals.ametsoc.org
The availability of daily observed rainfall estimates at a resolution of 0.5× 0.5 latitude–
longitude from a collection of over 2100 rain gauge sites over India provided the possibility …
longitude from a collection of over 2100 rain gauge sites over India provided the possibility …
[HTML][HTML] The skill of ECMWF medium-range forecasts during the year of tropical convection 2008
A Chakraborty - Monthly weather review, 2010 - journals.ametsoc.org
The Skill of ECMWF Medium-Range Forecasts during the Year of Tropical Convection 2008 in:
Monthly Weather Review Volume 138 Issue 10 (2010) Jump to Content Jump to Main …
Monthly Weather Review Volume 138 Issue 10 (2010) Jump to Content Jump to Main …
[PDF][PDF] Optimal multi-model ensemble method in seasonal climate prediction
Given a large number of dynamical model predictions, this study endeavors to improve
seasonal climate prediction through optimizing multi-model ensemble (MME) method. We …
seasonal climate prediction through optimizing multi-model ensemble (MME) method. We …