Imtiaz Dharssi
Imtiaz Dharssi
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Cited by
Cited by
The HadGEM2 family of Met Office Unified Model Climate configurations
GM Martin, N Bellouin, WJ Collins, ID Culverwell, PR Halloran, ...
Geoscientific Model Development Discussions 4, 765-841, 2011
Operational assimilation of ASCAT surface soil wetness at the Met Office
I Dharssi, K Bovis, B Macpherson, C Jones
Hydrol. Earth Syst. Sci. Discuss 8, 4313-4354, 2011
BARRA v1. 0: the Bureau of Meteorology atmospheric high-resolution regional reanalysis for Australia
CH Su, N Eizenberg, P Steinle, D Jakob, P Fox-Hughes, CJ White, ...
Geoscientific Model Development 12 (5), 2049-2068, 2019
Comparison of remotely sensed and modelled soil moisture data sets across Australia
CM Holgate, RAM De Jeu, AIJM van Dijk, YY Liu, LJ Renzullo, I Dharssi, ...
Remote Sensing of Environment 186, 479-500, 2016
Interface roughness scattering in a superlattice
I Dharssi, PN Butcher
Journal of Physics: condensed matter 2 (20), 4629, 1990
Treatment of gross errors using maximum probability theory
I Dharssi, AC Lorenc, NB Ingleby
Quarterly Journal of the Royal Meteorological Society 118 (507), 1017-1036, 1992
New soil physical properties implemented in the Unified Model at PS18
I Dharssi, PL Vidale, A Verhoef, B Macpherson, C Jones, M Best
UK Met Office, 2009
High-resolution hydraulic parameter maps for surface soils in tropical South America
TR Marthews, CA Quesada, DR Galbraith, Y Malhi, CE Mullins, ...
Geoscientific Model Development 7 (3), 711-723, 2014
The effect of phonon confinement on perpendicular electron transport in a GaAs/GaAlAs superlattice
I Dharssi, PN Butcher
Journal of Physics: condensed matter 2 (1), 119, 1990
Macroscopic behaviour of longitudinal optical phonons in a AlAs/GaAs/AlAs quantum well
X Zianni, PN Butcher, I Dharssi
Journal of Physics: Condensed Matter 4 (6), L77, 1992
The 2019–2020 Australian drought and bushfires altered the partitioning of hydrological fluxes
SV Kumar, T Holmes, N Andela, I Dharssi, Vinodkumar, C Hain, ...
Geophysical Research Letters 48 (1), e2020GL091411, 2021
Continental-scale prediction of live fuel moisture content using soil moisture information
V Vinodkumar, I Dharssi, M Yebra, P Fox-Hughes
Agricultural and Forest Meteorology 307, 108503, 2021
Evaluation and calibration of a high-resolution soil moisture product for wildfire prediction and management
I Dharssi
Agricultural and forest meteorology 264, 27-39, 2019
Comparison of soil wetness from multiple models over A ustralia with observations
Vinodkumar, I Dharssi, J Bally, P Steinle, D McJannet, J Walker
Water Resources Research 53 (1), 633-646, 2017
Preparation for the use of Doppler wind lidar information in meteorological data assimilation systems
AC Lorenc, RJ Graham, I Dharssi
Great Britain, Meteorological Office, 1992
On the soil moisture memory and influence on coupled seasonal forecasts over Australia
M Zhao, H Zhang, I Dharssi
Climate dynamics 52, 7085-7109, 2019
Sensitivity of a simulated tropical squall line to long‐wave radiation
I Dharssi, R Kershaw, WK Tao
Quarterly Journal of the Royal Meteorological Society 123 (537), 187-206, 1997
The HadGEM2 family of met office unified model climate configurations. Geosci Model Dev 4 (3): 723–757
GM Martin, N Bellouin, WJ Collins, ID Culverwell, PR Halloran, ...
Evaluation of daily soil moisture deficit used in Australian forest fire danger rating system
V Kumar, I Dharssi
Forest Ecology and Management 259, 685-697, 2017
Analysis of the linearised observation operator in a land surface data assimilation scheme for numerical weather prediction
I Dharssi, B Candy, K Bovis, P Steinle, B Macpherson
20th International Congress on Modelling and Simulation (MODSIM2013 …, 2013
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