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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
12972014
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
2612016
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
2232012
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
1932015
Measurement of GCM skill in predicting variables relevant for hydroclimatological assessments
F Johnson, A Sharma
Journal of Climate 22 (16), 4373-4382, 2009
1932009
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
1582011
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
1192016
Does storm duration modulate the extreme precipitation‐temperature scaling relationship?
C Wasko, A Sharma, F Johnson
Geophysical Research Letters 42 (20), 8783-8790, 2015
1102015
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
1082011
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
942010
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
882014
What are the impacts of bias correction on future drought projections?
F Johnson, A Sharma
Journal of Hydrology 525, 472-485, 2015
732015
Revisiting Pan Evaporation Trends in Australia a Decade on
CM Stephens, TR McVicar, FM Johnson, LA Marshall
Geophysical Research Letters 45 (20), 11,164-11,172, 2018
712018
A method for combining SRTM DEM and ASTER GDEM2 to improve topography estimation in regions without reference data
HT Pham, L Marshall, F Johnson, A Sharma
Remote Sensing of Environment 210, 229-241, 2018
692018
The relationship of atmospheric air temperature and dew point temperature to extreme rainfall
A Bui, F Johnson, C Wasko
Environmental Research Letters 14 (7), 074025, 2019
642019
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
572015
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
562016
Assessing the extent of non-stationary biases in GCMs
J Nahar, F Johnson, A Sharma
Journal of Hydrology 549, 148-162, 2017
502017
Implications of future climate change for event-based hydrologic models
CM Stephens, FM Johnson, LA Marshall
Advances in Water Resources 119, 95-110, 2018
492018
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
472016
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