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CSIRO Dawn to 2100 SRESA2 hfls - GCM Surface upward latent heat flux datasets and trends 1850 to 2100 using the SRESA2 Scenario

Created 25/06/2025

Updated 25/06/2025

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The CSIRO Dawn-2100 archive contains datasets for atmospheric, land and oceanographic variables for the approximate period 1850 - 2100 (dependent on model). These have been created through the concatenation of 20th century (20C3M) and other scenario (currently SRESA1B or SRESA2) data from a number of the 25 differant global climate models (GCM) from various countries. The SRESA2_hfls dataset contains the Surface upward latent heat flux variable for various GCM's and runs (multiple runs being averaged to a single file if existing) under the scenario SRESA2 emissions 2001 to 2100. These variables have also been further analysed to give monthly, seasonal and annual trend data, calculated from a monthly timeseries referenced to the area-weighted mean global warming values. 16 GCM models are available with data for variables being in 12 month, annual and 4 seasons(DJF, MAM,JJA,SON) format with 38 files totaling 5.16 GB as Netcdf files. Available for internal use and analysis by CSIRO staff on the HPSC cherax.

Files and APIs

Additional Info

Field Value
Title CSIRO Dawn to 2100 SRESA2 hfls - GCM Surface upward latent heat flux datasets and trends 1850 to 2100 using the SRESA2 Scenario
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/90312b62-6c29-43d5-b650-d416c75cfd83
Contact Point
CSIRO Marlin Data Catalogue
data-requests-hf@csiro.au
Reference Period 01/01/1850
Geospatial Coverage
Map data © OpenStreetMap contributors
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Data Portal CSIRO Marlin

Data Source

This dataset was originally found on CSIRO Marlin "CSIRO Dawn to 2100 SRESA2 hfls - GCM Surface upward latent heat flux datasets and trends 1850 to 2100 using the SRESA2 Scenario". Please visit the source to access the original metadata of the dataset:
https://marlin.csiro.au/geonetwork/srv/eng/csw/dataset/csiro-dawn-to-2100-sresa2-hfls-gcm-surface-upward-latent-heat-flux-datasets-and-trends-1850-to-1