India-CLIM will analyze comprehensive data sets of climate variables for India and output from Earth System model simulations, in order to investigate the variability of the Indian Monsoon with special focus on the wet season of the summer monsoon.
The main hypothesis in the project is that the AMO is an intrinsic oceanic mode and that the associated SST anomalies in Atlantic Ocean can impact the Indian Summer Monsoon through teleconnection.
In order to test our hypothesis, we will use the re-analysis and observed data as well as IPCC/CMIP5 simulations to explore the decadal to multi-decadal variability of Indian Summer Monsoon and the teleconnection with AMO.
The Arctic is one of the cloudiest regions on the Earth. White carpet of clouds typically covers the Arctic during three quarters of year. In summertime, clouds reflect sunlight helping to keep the Arctic cool. In winter time, they capture and backscatter heat making the Arctic warmer than it could be under a clear sky. [img_assist|nid=93550|title=|desc=Figure 1. Historical variations since 1930 of the observed convective cloud fraction at the Wrangel Island station (redrawn from Chernokulsky and Esau, 2019).
The aim of SFE is to develop a state-of-the-art operational seasonal climate prediction system for Northern Europe and the Arctic.
The aim of SFE is to develop a state-of-the-art operational seasonal climate prediction system for Northern Europe and the Arctic. Tailored seasonal predictions can be helpful tools for risk mitigation, and they can guide more efficient use of resources in many sectors of society, including agriculture, energy, water, transportation, and insurance. To our users, the SFE will be accessible through a flexible interface which can be queried to obtain predictions of relevant climate indices and variables.
