Dr Imtiaz Dharssi

Researcher
About
Dr Imtiaz Dharssi

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

Project leadership

This project examined the use of detailed land surface models, satellite measurements and ground-based observations for the monitoring and prediction of landscape dryness. The research team developed a standalone prototype land surface modelling system, called Joint UK Land Environment Simulator based Australian Soil Moisture Information (JASMIN) to produce daily soil moisture analyses at 5km resolution and 4 soil layers. Verification against ground-based soil moisture observations shows that this prototype system is significantly more skilful than both the Keetch–Byram Drought Index and Soil Dryness Index. This project also aimed to improve applications such as fire danger mapping that may require soil moisture information at higher spatial resolution due to the large spatial variability of soil moisture in the landscape, and developed a simple yet skilful model to predict live fuel moisture content for the whole of Australia.

Resources credited

Type Releasedsort descending Title Download Key Topics
Presentation-Slideshow 21 Mar 2014 Monitoring and prediction PDF icon Save (7.35 MB) flood, modelling, multi-hazard
Presentation-Slideshow 08 Sep 2014 Mitigating the effects of severe fires, floods and heatwaves PDF icon 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 PDF icon 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 PDF icon 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 PDF icon Save (3.33 MB) fire impacts, soil moisture
Presentation-Slideshow 30 Aug 2016 A high resolution land dryness analysis system for Australia - Imtiaz Dharssi PDF icon 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 PDF icon Save (3.12 MB) fire, flood, forecasting
HazardNoteEdition 28 Nov 2016 Monitoring and predicting natural hazards PDF icon Save (853.18 KB) forecasting, modelling, severe weather
Presentation-Slideshow 18 May 2017 Towards an improved land dryness estimate for fire prediction PDF icon Save (5.71 MB) fire, flood, remote sensing
HazardNoteEdition 14 Jun 2017 Soil moisture prototype improves forecasts PDF icon 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 PDF icon Save (1.38 MB) forecasting, land management, mitigation
Presentation-Slideshow 19 Sep 2018 Evaluation and calibration of a land surface model based soil moisture analysis for fire prediction PDF icon Save (3.08 MB) soil moisture
Presentation-Slideshow 27 Aug 2019 JASMIN: A high-resolution soil moisture analysis for fire prediction PDF icon Save (2.15 MB) fire, flood
Presentation-Slideshow 17 Oct 2019 Mitigating the effects of severe fires, floods and heatwaves through the improvements of land dryness measures and forecasts PDF icon Save (1.41 MB) forecasting, land management

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