Climate scientist · University of Galway

Saurabh Annadate, Ph.D.

I use atmospheric observations and inverse modelling to estimate how much greenhouse gas is really being emitted, and to check whether climate policy is working.

Portrait of Saurabh Annadate
Postdoctoral Researcher, Centre for Climate & Air Pollution Studies, University of Galway
1850 Each stripe is one year of global temperature. The last decade is the warmest on record. 2024
8 peer-reviewed papers
5+ climate-relevant species studied, from HFCs and SF6 to black carbon
3 countries of research: India, Italy and Ireland

About

Following emissions from the atmosphere back to their source

I am a climate scientist and researcher at the University of Galway, working at the intersection of atmospheric modelling and observations, with a focus on inverse modelling methods.

My current research focuses on estimating greenhouse gas emissions using a top-down (inverse modelling) approach. I study emissions of potent greenhouse gases, both long-lived species (e.g., CFCs, HFCs, N2O) and short-lived species (e.g., black carbon, propane).

I received my Ph.D. in Atmospheric Science from Scuola Superiore Studi Pavia (IUSS), Italy in 2025, and my integrated B.S.–M.S. in Physics from the Indian Institute of Science Education and Research (IISER) Mohali, India in 2021.

  • Emission estimation
  • Air quality
  • Climate change
  • Remote sensing
  • Machine learning

Research

What I work on

01

Synthetic greenhouse gases

Top-down emission estimates of HFCs, SF6 and CFCs over Europe, compared with national inventories to test whether the EU F-gas regulation is cutting emissions as intended.

  • HFC-134a
  • SF6
  • Policy evaluation
Environ. Sci. Eur. 2025
02

Short-lived climate forcers

Black carbon emissions from Europe and long-term trends in atmospheric propane, built on observations from the WMO-GAW station at Monte Cimone.

  • Black carbon
  • Propane
  • Long-term records
Atmos. Chem. Phys. 2026
03

Inverse modelling methods

Bayesian inversion frameworks that turn atmospheric measurements into emission maps, and how sensitive those estimates are to the choices inside the model.

  • Bayesian inversion
  • Transport models
  • Uncertainty
Atmosphere 2024

Approach

How I work

Observations first

Emission estimates should be tested against what the atmosphere actually measures, not only what inventories report.

Open and reproducible

Methods, uncertainties and code should be transparent enough for others to check and build on.

Science that informs policy

Independent, top-down numbers help show whether climate regulation is delivering real reductions.

News

Recent updates

  1. New paper published in Atmospheric Chemistry and Physics (ACP): “Long-term analysis of atmospheric propane over Southern Europe based on observations conducted at the WMO-GAW station of Monte Cimone”.

  2. Started as Postdoctoral Researcher at the University of Galway.

  3. Delivered a talk at the European Aerosol Conference (EAC 2025) in Lecce, Italy, on black carbon emissions from Europe.

  4. Presented a poster at the 21st International Workshop on Greenhouse Gas Measurements from Space (IWGGMS-21) in Takamatsu, Japan, on black carbon emissions from Europe.

Climate context

175 years of warming, one stripe per year

Global temperature anomalies from 1850 to 2024, shown as warming stripes (#ShowYourStripes). Blue years were cooler and red years warmer than average. Hover over a stripe to see the year.