CLEX datatsets

8-day Vegetation optical depth (VOD) and normalised difference vegetation index (NDVI)- based estimated degree of curing (DOC) for Australia v1.0: This is a gridded degree of curing (DOC) dataset over Australia based on vegetation optical depth (VOD) and normalised difference vegetation index (NDVI) that can reasonably reproduce ground-based observations in space and time.


ACCESS1.3b model output from the Amazonian Deforestation AMZDEF experiment v1.0: The AMZDEF simulation investigates the effect of Amazonian deforestation for the global climate between 1978-2011. Version v1.0 of this dataset includes monthly means for air temperature at 1.5m and total precipitation, calculated from the raw model output.


ACCESS1.3b model output from the Amazonian Deforestation AMZDEF experiment v2.0: The 1.3b version of this model uses UM7.3 as the atmospheric component and CABLE2.0 as the land component. The ocean component is not included in this simulations. The AMZDEF simulation investigates the effect of Amazonian deforestation for the global climate between 1978-2011. Version v1.0 of this dataset includes monthly means for air temperature at 1.5m and total precipitation, calculated from the raw model output.


ACCESS-OM2-025 historical and twenty-first Century winds experiment, forced by CMIP5 historical and RCP8.5 winds v1.0: The first experiment is a CMIP5 historical winds experiment (10 years output, ~125 Gb), where the CORE-NYF winds are replaced by the 1950-1969 average winds from an ensemble of 21 CMIP5 models. The second experiment is a CMIP5 end of 21st Century winds experiment (10 years output, ~125 Gb), where the historical CMIP5 winds are replaced by the average winds over the 2080-2099 period from the CMIP5 ensemble.


Area-extent of temperature and precipitation extremes in CMIP5 models under different radiative forcing scenarios, observations and reanalysis v1-0: The EmCEI is a combined temperature and precipitation extremes index, measuring the percentage area experiencing “extreme conditions” across five components. These components are calculated from the so-called “ETCCDI indices”.


CCAM-UCLEM model output for: Climate change impact on energy demand in coupled building-urban-atmosphere simulations across the 21st century v1.0: This data is single column model output from the Urban Climate and Energy Model (UCLEM) + the Conformal Cubic Atmospheric Model (CCAM) for Melbourne, Australia. NetCDF outputs record surface variables at half-hour intervals for the 2×6 century-scale simulations under RCP 8.5.


Conserving Land-Atmosphere Synthesis Suite (CLASS) v 1.0: In this work, we develop a Conserving Land-Atmosphere Synthesis Suite (CLASS) of estimates of simultaneously balanced surface water and energy budget components over 2003-2009 that are coherent by being able to solve the water and energy budgets simultaneously at 0.5-degree grid scale.


Derived Optimal Linear Combination Evapotranspiration – DOLCE v2.0: DOLCE V2 is a new hybrid Evapotranspiration (ET) dataset derived by merging 11 available global ET datasets. These include BACI, FLUXCOM RS, FLUXCOM MET, ERA5-land, GLEAM v3.3a, GLEAM v3.3b, PML-CSIRO, PLSH, MOD16, SEBS, and SRB-GEWEX. The contribution of each dataset to DOLCE V2 is based on its ability to match field observations as well as its dependence to the other parent datasets.


Derived Optimal Linear Combination Evapotranspiration – DOLCE v2.1: Similarly to DOLCE V2.0, DOLCE V2.1 is a new hybrid Evapotranspiration (ET) dataset derived by merging 11 available global ET datasets. The difference between DOLCE V2.1 and DOLCE V2.0 is that in the latter, ERA5-land was included in the merge during 2001 and 2018 only, while in the former, ERA5-land is included from 1981 to 2018.


Derived Optimal Linear Combination Evapotranspiration – DOLCE v3.0: DOLCE V3.0 is an observationally constrained hybrid Evapotranspiration (ET) dataset with uncertainty estimates. It is derived by merging four global ET datasets:
ERA5-land (Muñoz S. J. 2019); FLUXCOM METEO+RS (Jung et al., 2019); GLEAM v3.5a; and GLEAM v3.5b (Martens B. et al., 2017).

  • Hobeichi, S., Abramowitz, G., Evans, J. P. (2021). Derived Optimal Linear Combination Evapotranspiration – DOLCE v3.0. NCI National Research Data Collection , doi: 10.25914/606e9120c5ebe

EC-Earth3 SSP585 atmospheric forcing dataset for the Ice Algae Model Intercomparison Project phase 2 (IAMIP2) projection experiment v1.0: This dataset provides the atmospheric forcing fields for conducting the projection experiment for the Ice Algae Model Intercomparison Project phase 2 (IAMIP2), which is a new model intercomparison effort focused on algae that are attached to sea ice. You can find it here.

  • Hayshida, Hakase, 2021. EC-Earth3 SSP585 atmospheric forcing dataset for the Ice Algae Model Intercomparison Project phase 2 (IAMIP2) projection experiment v1.0 NCI National Research Data Collection, doi: 10.25914/606edd5d96a88

Effects of dimethyl sulfide pertubations in ACCESS-UKCA climate simulations v1.0: This dataset includes 10-year averages of cloud, radiation, precipitation and aerosol/chemistry fields from the Australian Community Climate and Earth System Simulator (ACCESS) United Kingdom Chemistry and Aerosol (UKCA) model.


GREB Tuning experiments v1.0: Data to be published along with the GREB tuning paper for JAMES. The data included is only for reproducing the figures of the paper. It is not a comprehensive publication of the GREB model simulation data. All the data is output from the GREB model simulations discussed in Dommenget and Resny, 2017.


High-Resolution Modelling of Extreme Storms over the East Coast of Australia v1.0: This dataset includes data of 11 extreme East Coast Lows simulated using a multi-physics (5), multi-resolution (3) approach for 4 different boundary conditions, leading to a total of 660 simulations. All simulations were performed using the Weather Research and Forecasting (WRF v3.6) regional model using a triple nesting approach with different domain sizes.


Himawari-8 – GeoCat 1.0.3 Australian Domain Level 1 v1.0: This dataset contains derived satellite observations of cloud properties over the Australian region at hourly temporal resolution and 2 km spatial resolution with hourly temporal resolution for Austral summer months (Nov-March) from 01 November 2015 to 31 March 2020.

  • Lopez-Bravo, Clemente, Vincent C.L., Huang, Y., 2021: Himawari-8 GeoCat 1.0.3 Australian Domain Level 1 v1.0 . NCI National Research Data Collection, doi:10.25914/60096221a8f7a,

Himawari-8 – GeoCat 1.0.3 Australian Domain Level 2 v1.0: This dataset contains derived satellite observations of cloud properties over the Australian region at hourly temporal resolution and 2 km spatial resolution. The L2 product includes full output variables from CSPP-Geo Geocat and Advance Himawari Imagery on Himawari-8, 25, and 41 variables, respectively, with hourly temporal resolution for Austral summer months (Nov-March) from 01 November 2015 to 31 March 2020.

  • Lopez-Bravo, Clemente, Vincent C.L., Huang, Y., 2021: Himawari-8 GeoCat 1.0.3 Australian Domain Level 2 v1.0 . NCI National Research Data Collection, doi:10.25914/60096228c7ec0

Lagrangian drifter output in the Southeast Indian Ocean using the Connectivity Modelling System output forced with TROPAC01 v1.0: This dataset contains Lagrangian drifter trajectories from the Connectivity Modelling System (CMS) in the Southeast Indian Ocean. CMS was forced with ocean velocity fields from TROPAC01.


Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product v 1.0: An optimal weighting approach is applied to merge runoff estimates from hydrological models constrained with observational streamflow records. The weighting method is based on the ability of the models to match observed streamflow data while accounting for error covariance between the participating products.


LOVECLIM Last Glacial Maximum oceanic d13C and D14C v 1.0: This dataset is a collection of outputs of numerical simulations performed with LOVECLIM, an Earth System Model. The model was forced with Last Glacial Maximum (~20 ka B.P.) boundary conditions (orbital parameters, ice-sheet topography and albedo, CO2, d13CO2 and D14CO2).


Marine nitrogen fixers mediate a low latitude pathway for atmospheric CO2 drawdown: Biogeochemical and physical output v1.0: The data included in this repository includes both the physical and biogeochemical fields that were generated by 89 simulations over 10,000 years with an Ocean General Circulation Model (OGCM) and attached ocean biogeochemistry: CSIRO Mk3L-COAL v1.0. The 89 simulations alter one of three major processes to understand the relationship between N2fixation and CO2drawdown from the atmosphere into the ocean.


Maritime Continent Austral summer climatology v1.0: WRF Version 3.5.1 model simulations over the Maritime Continent for 10 Austral summer seasons (2005/2006 – 2014/2015), V1.0. These simulations were run with a horizontal grid spacing of 4km. Each season was run as a continuous simulation with nudging to ERA-I for wavelengths greater than 1000 km.


MOM and ROMS model output from Antarctic bottom layer temperature advection experiments v1.0: This dataset contains ocean temperatures and velocity anomalies from idealized wind perturbation experiments resembling a shift towards a positive Southern Annular Mode. Data is provided for two global ocean sea-ice models using the Modular Ocean Model (MOM) at 1/4° horizontal resolution (MOM025; 50 vertical levels) and 1/10° horizontal resolution (MOM01; 75 vertical levels).


Oceanic carbon-13 and nitrogen-15 isotopes simulated by CSIRO Mk3L-COAL version 1.0: This dataset details the implementation of δ13C and δ15N in the ocean component of an Earth system model. We evaluate our simulated δ13C and δ15N against contemporary measurements, place the models performance alongside other isotope enabled models, and document the response of δ13C and δ15N to changes in ecosystem functioning. The model combines the Commonwealth Scientific and Industrial Research Organisation Mark 3L (CSIRO Mk3L) climate system model with the Carbon of the Ocean, Atmosphere and Land (COAL) biogeochemical model.


PLUMBER2: forcing and evaluation datasets for a model intercomparison project for land surface models v1.0: PLUMBER2 is a model intercomparison project for land surface models. Multiple leading land surface and ecosystem models are evaluated for water and carbon fluxes at 170 flux tower sites, spanning multiple biomes and climate zones globally. The project is conducted within the Protocol for the Analysis of Land Surface Models (PALS) benchmarking system. This dataset provides the forcing and evaluation datasets underpinning PLUMBER2.


Prescribed Land AMIP ACCESS1-0 experiments collection v1.0: ACCESS1.0 model output for a series of atmosphere-only AMIP (Atmospheric Model Intercomparison Project) simulations covering a thirty-year period from 1988 to 2008. Five simulations were run with “freely varying” land surface temperatures and, soil moisture and temperatures (i.e. freely respond to the atmospheric and radiative processes above the surface).


Simulations of glacial climate and ocean biogeochemistry with the CSIRO Mk3L v1.0: This dataset includes both the physical and biogeochemical output of simulations performed with the CSIRO Mk3L v1.2 Earth System Model under broadly Pre-Industrial (PI; 1950 CE) and Last Glacial Maximum (LGM; 21,000 BCE) climates.


Simulations of ocean physical and biogeochemical fields under different biological functioning in CSIRO Mk3L 1.2 v1.0: The data included in this repository includes both the physical and biogeochemical fields that were generated by 36 simulations over 10,000 years with an Ocean General Circulation Model (GCM): CSIRO Mk3L v1.2. The 36 simulations represent a factorial experimental set-up, where 6 different parameterisations of ocean biology were broadcast across six different physical states.


Time series of EmCEI Climate Extremes Index components and subcomponents v1-0: The EmCEI Climate Extremes Index is a combined temperature and precipitation extremes index, measuring the percentage area experiencing extreme conditions across five components. Extreme conditions are defined as above the 90th percentile or below the 10th percentile. The five components are maximum temperature, minimum temperature, total annual precipitation, heavy precipitation and wet and dry days.


TrackEddy v1.0 output of identified eddies from the AVISO+ satellite altimetry v1.0: The data corresponds to the output of the TrackEddy algorithm which identifies, tracks and reconstructs the Gaussian perturbation of each coherent eddy-like feature in the ocean.


Transient simulations of Heinrich stadial 1 with a carbon-isotope enabled model and impact of poleward intensified southern hemisphere westerlies in a global eddy-permitting ocean, sea-ice, carbon cycle model v1.0: This dataset is a collection of outputs of numerical simulations performed with LOVECLIM, an Earth System Model and the eddy-permitting global MOM5 model coupled to sea-ice model SIS and carbon cycle model WOMBAT.


Tropical Pacific Chlorophyll Algorithm (TPCA): Reprocessing v2019_01: The Tropical Pacific Chlorophyll Algorithm (TPCA) regional reprocessing includes Level 3 Mapped Daily 9km Chlorophyll data for the tropical Pacific (10°N to 10°S and 150°E to 90°W). These products are provided for the satellite sensors SeaWiFS (1997 – 2010), MODIS-Aqua (2002 – Present) and MERIS (2002-2012).


Weather Research and Forecasting (v3.6) model outputs from 2-km Kuala Lumpur urban climate experiments v1.0: This dataset contains model outputs from the Weather Research and Forecasting model 3.6 over the Malay Peninsula at 2 km spatial resolution and covering the period 2008-2012. It includes two different simulations: an experiment with urban areas and a second simulation where cities are replaced with the dominant surrounding vegetation type.


WRF-LIS-CABLE model output from the physics sensitivity experiment v1.0: This data collection contains a subset of variables of the raw model output of WRF-LIS-CABLE regional climate model. The simulation domain is the CORDEX AustralAsia domain at a resolution of approximately 50km and covers all of Australia, Indonesia and New Zealand. The simulations span the period August 2008 to October 2010 which includes a two-month coupled spin-up period.


WRF model outputs from the 2-km resolution Sydney experiment (v1.0): Weather Research and Forecasting (WRF) model outputs from high-resolution (2-km) climate simulations over Sydney performed by Dr Daniel Argueso from the ARC Centre of Excellence for Climate System Science (ARCCSS).