Showing results for: [ Zheng, Hongxing ]
ClimKaddo – a catchment climate data extraction and transformation tool.
Providing a tool to read publicly available climate databases and prepare climate files for your catchment, in a format compati... moreble with most rainfall-runoff/river system models
SDIP1 wrap-up - climate change scaling factors - Published 05 Jun 2017
Projected changes in seasonal and annual rainfall, potential evapotranspiration (PET), average temperature and runoff for Victorian river basins by 2040 and 2065
Victorian Climate Initiative - Hydroclimate projections for Victoria - Published 26 Jan 2017
The empirical scaling factors can be used to guide the plausible range of changes in the climate variables within impact-adaption-vulnerability assessment under climate change. The gridded dataset of ... moreall the scaling factors are produced at the spatial resolution of 0.5o×0.5o with the name ScalingFactor_0.5. In the dataset, there are 6 subfolders named as prcp, pexm, pet, tas, tasmax and tasmin representing scaling factors of precipitation, extreme high daily rainfall, potential evapotranspiration, mean temperature, maximum temperature and minimum temperature. In the subfolder, each text file represents the scaling factors of each GCM model and each run. less
SDIP1 wrap-up - climate change scaling factors - Published 19 Jan 2017
This dataset contains global monthly 0.5 degree spatial resolution actual evapotranspiration and components (transpiration, soil evaporation, interception) from 1981 to 2012 inclusive. The estimates w... moreere computed through the observation-driven Penman-Monteith-Leuning (PML) model. For details refer to Zhang et al. (2016)
The data is in netCDF4 format.
CLSD Regional and global water modelling - Global Water Modelling - Published 02 May 2016