Azhar Ehsan

Azhar Ehsan

Climate Researcher at IRI Columbia, specialised in Climate Prediction

Azhar Ehsan

This is Azhar Ehsan’s personal homepage. Please also refer to my IRI staff directory.

A short introduction

Dr. Muhammad Azhar Ehsan (He/Him) is an Associate Research Scientist at IRI, focusing on climate variations and prediction at multiple timescales (Weeks to Years). He leads the IRI Climate Forecast and ENSO Briefing every month. A primary objective of Azhar’s research work is to better understand the sensitivity of regional climates to changing sea surface temperature patterns, finding sources of predictability, and study physical processes that underpin regional hydroclimatic situations using observations and model datasets. His current regional foci include the Middle East, Africa, and South Asia.

He held postdoctoral and researcher positions, at the International Center for Theoretical Physics (ICTP), Trieste Italy, Center of Excellence for Climate Change Research (CECCR), Jeddah Saudi Arabia, and Global Change Impacts Studies Center, Islamabad Pakistan prior to joining the IRI in 2019.

Research Highlights:

Most Recent Publications

  • Singh B, Ehsan MA, Robertson AW. “Calibrated probabilistic sub-seasonal forecasting for Pakistan’s monsoon rainfall in 2022”. https://link.springer.com/article/10.1007/s00382-023-07071-4
  • Ehsan MA, Singh B.“Forecast skill of Bangladesh summer monsoon rainfall in C3S and NMME models after calibration (2023)”. https://www.sciencedirect.com/science/article/pii/S0377026523000611?via%3Dihub
  • Ehsan MA, Tippett MK, Robertson AW, Singh B, Rahman MA. “The ENSO Fingerprint on Bangladesh Summer Monsoon Rainfall (2023)”. https://link.springer.com/article/10.1007/s41748-023-00347-z
  • Almazroui, M., Ehsan, M.A., Tippett, M.K., Ismail, M., Islam, M.N., Camargo, S.J., Abid, M.A., O’Brien, E., Kamil, S., Robertson, A.W. and Singh, B., 2022. Skill of the Saudi-KAU CGCM in Forecasting ENSO and its Comparison with NMME and C3S Models. Earth Systems and Environment, 6(2), pp.327-341.
  • Attada R, Ehsan MA, Pillai PA. “Evaluation of Potential Predictability of Indian Summer Monsoon Rainfall in ECMWF’s Fifth Generation Seasonal Forecast System (SEAS5)”. Pure and Applied Geophysics (2022). https://link.springer.com/article/10.1007/s00024-022-03184-9

For more information

More info about Azhar Ehsan can be found in CV or download CV.