Fiona Johnson
Fiona Johnson
School of Civil and Environmental Engineering, University of New South Wales
Verified email at unsw.edu.au
Title
Cited by
Cited by
Year
Future changes to the intensity and frequency of short‐duration extreme rainfall
S Westra, HJ Fowler, JP Evans, LV Alexander, P Berg, F Johnson, ...
Reviews of Geophysics 52 (3), 522-555, 2014
4812014
Measurement of GCM skill in predicting variables relevant for hydroclimatological assessments
F Johnson, A Sharma
Journal of Climate 22 (16), 4373-4382, 2009
1372009
A nesting model for bias correction of variability at multiple time scales in general circulation model precipitation simulations
F Johnson, A Sharma
Water Resources Research 48 (1), W01504, 2012
1322012
Accounting for interannual variability: A comparison of options for water resources climate change impact assessments
F Johnson, A Sharma
Water Resources Research 47 (4), W04508, 2011
1052011
A global comparison of alternate AMSR2 soil moisture products: Why do they differ?
S Kim, YY Liu, FM Johnson, RM Parinussa, A Sharma
Remote Sensing of Environment 161, 43-62, 2015
972015
Natural hazards in Australia: droughts
AS Kiem, F Johnson, S Westra, A van Dijk, JP Evans, A O’Donnell, ...
Climatic Change 139 (1), 37-54, 2016
772016
A comparison of Australian open water body evaporation trends for current and future climates estimated from Class A evaporation pans and general circulation models
F Johnson, A Sharma
Journal of Hydrometeorology 11 (1), 105-121, 2010
772010
An assessment of GCM skill in simulating persistence across multiple time scales
F Johnson, S Westra, A Sharma, AJ Pitman
Journal of Climate 24 (14), 3609–3623, 2011
762011
How well do general circulation models represent low‐frequency rainfall variability?
E Rocheta, M Sugiyanto, F Johnson, J Evans, A Sharma
Water Resources Research 50 (3), 2108-2123, 2014
592014
Natural hazards in Australia: floods
F Johnson, CJ White, A van Dijk, M Ekstrom, JP Evans, D Jakob, AS Kiem, ...
Climatic Change 139 (1), 21-35, 2016
512016
Does storm duration modulate the extreme precipitation‐temperature scaling relationship?
C Wasko, A Sharma, F Johnson
Geophysical Research Letters 42 (20), 8783-8790, 2015
482015
Water resources climate change projections using supervised nonlinear and multivariate soft computing techniques
A Sarhadi, DH Burn, F Johnson, R Mehrotra, A Sharma
Journal of Hydrology 536, 119-132, 2016
312016
What are the impacts of bias correction on future drought projections?
F Johnson, A Sharma
Journal of Hydrology 525, 472-485, 2015
302015
The revised Intensity-Frequency-Duration (IFD) design rainfall estimates for Australia-an overview
J Green, K Xuereb, F Johnson, G Moore
Hydrology and Water Resources Symposium 2012, 808, 2012
302012
Correcting bias in radar Z–R relationships due to uncertainty in point rain gauge networks
MM Hasan, A Sharma, F Johnson, G Mariethoz, A Seed
Journal of Hydrology 519, 1668-1676, 2014
272014
A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation
S Kim, RM Parinussa, YY Liu, FM Johnson, A Sharma
Geophysical Research Letters 42 (16), 6662-6670, 2015
242015
Improving radar rainfall estimation by merging point rainfall measurements within a model combination framework
MM Hasan, A Sharma, G Mariethoz, F Johnson, A Seed
Advances in Water Resources 97, 205-218, 2016
232016
Merging radar and in situ rainfall measurements: An assessment of different combination algorithms
MM Hasan, A Sharma, F Johnson, G Mariethoz, A Seed
Water Resources Research 52 (10), 8384-8398, 2016
212016
Assessing the extent of non-stationary biases in GCMs
J Nahar, F Johnson, A Sharma
Journal of Hydrology 549, 148-162, 2017
202017
Addressing the mischaracterization of extreme rainfall in regional climate model simulations–A synoptic pattern based bias correction approach
J Li, A Sharma, J Evans, F Johnson
Journal of Hydrology 556, 901-912, 2018
192018
The system can't perform the operation now. Try again later.
Articles 1–20