Our People

Project Leader

About

Imtiaz Dharssi is a Land Surface Data Assimilation Scientist at Centre for Australian Weather and Climate Research, having previously worked for The Met Office in the UK for over 11 years. Hi reserach interests include:

  • Assimilation of satellite derived soil moisture
  • The Unified Model soil moisture nudging scheme
  • Parametrization of the soil physical properties
  • High-resolution soil texture maps for the Unified Model
More info:

Project leadership

This research has developed a prototype, high-resolution soil-moisture analysis system called JASMIN, which is a significant improvement in accuracy compared to currently used models. It is based on research that examines the use of land surface models, remotely sensed satellite measurements and data assimilation techniques to improve the monitoring and prediction of soil dryness. The new information will be calibrated for use within the existing fire prediction systems. This retains the accuracy, temporal and spatial resolution of the new product without changing the overall climatology of Forest Fire Danger Index and other calculations based on soil moisture.
Year Type Citation
2017 Report Kumar, V., Dharssi, I. & Holmes, A. Mitigating the effects of severe fires, floods and heatwaves through the improvements of land dryness measures and forecasts: annual project report 2016-17. (Bushfire and Natural Hazards CRC, 2017).
2017 Journal Article Kumar, V. et al. Comparison of soil wetness from multiple models over Australia with observations. Water Resources Research 53, 633-646 (2017).
2017 Report Kumar, V. & Dharssi, I. Downscaling of soil dryness estimates: a short review. (Bushfire and Natural Hazards CRC, 2017).
2017 Report Kumar, V. & Dharssi, I. Evaluation of daily soil moisture deficit used in Australian forest fire danger rating system. (Bushfire and Natural Hazards CRC, 2017).
2016 Journal Article Holgate, C. M. et al. Comparison of remotely sensed and modelled soil moisture data sets across Australia. Remote Sensing of Environment 186, (2016).
2016 Report Dharssi, I. & Kumar, V. Mitigating the effects of severe fires, floods and heatwaves through the improvements of land dryness measures and forecasts: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).
2016 Conference Paper Dharssi, I. & Kumar, V. A high-resolution land dryness analysis system for Australia. AFAC16 (Bushfire and Natural Hazards CRC, 2016).
2015 Presentation Dharssi, I. & Kumar, V. Mitigating the effects of severe fires, floods and heatwaves through the improvements of land dryness measures and forecasts. (2015).
2015 Report Dharssi, I. & Kumar, V. Mitigating the effects of severe fires, floods and heatwaves through improvements to land dryness measures and forecasts: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).
2015 Conference Paper Kumar, V. & Dharssi, I. Verification of soil moisture from land surface models and traditional soil dryness indices - non peer reviewed extended abstract. Adelaide Conference 2015 (2015).
2015 Conference Paper Dharssi, I., Kumar, V., Yeo, C., Bally, J. & Kepert, J. D. Mitigating the Effects of Severe Fires, Floods and Heatwaves Conference Paper 2014. Bushfire and Natural Hazards CRC and AFAC Wellington Conference 2014 (2015).
2015 Report Dharssi, I. Mitigating the Effects of Severe Fires, Floods and Heatwaves Annual Report 2014. (2015).

Resources credited

Type Released Title Download Key Topics
Presentation-Slideshow 21 Mar 2014 Monitoring and prediction Save (7.35 MB) flood, modelling, multi-hazard
Presentation-Slideshow 08 Sep 2014 Mitigating the effects of severe fires, floods and heatwaves Save (1.7 MB) fire, flood, forecasting
Presentation-Audio-Video 27 Oct 2014 Mitigating the effects of severe fires, floods and heatwaves fire, flood, forecasting
Presentation-Slideshow 05 Dec 2014 Mitigating the effects of severe hazards Save (1.99 MB) forecasting, modelling, soil moisture
Presentation-Slideshow 26 Jun 2015 Verification of Soil Moisture from Multiple Models for Bushfire Danger Rating Applications Save (4.32 MB) fire, flood, remote sensing
Presentation-Slideshow 11 Sep 2015 Verification of soil moisture from multiple sources for bushfire danger rating applications Save (3.33 MB) fire impacts, soil moisture
Presentation-Slideshow 30 Aug 2016 A high resolution land dryness analysis system for Australia - Imtiaz Dharssi Save (3.93 MB) fire weather, flood, severe weather
Presentation-Slideshow 24 Oct 2016 Mitigating the effects of sever fires, floods and heatwaves through improvement to land dryness measures and forecasts Save (3.12 MB) fire, flood, forecasting
HazardNoteEdition 28 Nov 2016 Monitoring and predicting natural hazards Save (853.18 KB) forecasting, modelling, severe weather
Presentation-Slideshow 18 May 2017 Towards an improved land dryness estimate for fire prediction Save (5.71 MB) fire, flood, remote sensing
HazardNoteEdition 14 Jun 2017 Soil moisture prototype improves forecasts Save (186.47 KB) forecasting, land management, soil moisture
Presentation-Slideshow 31 Oct 2017 Mitigating the effect of severe fires, floods and heatwaves through improvements to land dryness measures and forecasts Save (1.38 MB) forecasting, land management, mitigation

All the resources from our 2016 conference

Research program in detail

Where, why and how are Australians dying in floods?

2015-2016 year in review

Bushfire planning with kids ebook