Brief description
Isotopes are one of the most useful and innovative tools for understanding complex processes in the water cycle, paleoclimate and biogeochemistry on many timescales. iPILPS is a new type of PILPS experiment in which the process of international intercomparison will educate the land-surface scheme (LSS) parameterization community while new aspects of LSS are being developed. A land-surface scheme (LSS) is an algorithm for determining the exchanges of energy, mass and momentum between the atmosphere and continents. iPILPS is a component of the current initiative to add isotopic (stable and radioactive) representation to atmospheric and land-surface models. The forcing data includes magnitudes of each isotope (1H2 18O and 1H2H16O) in precipitation and in water vapour at the atmospheric lowest level plus all the standard Assistance for Land-surface Modelling Activities (ALMA) meteorological forcing including 'regular' water (1H216O). Phase 1 included a Tropical Rainforest, at Manaus, Brazil (3'S 60'W). Forcing was provided at this location for four years. The experimental design directed each ILSS to use the first year's forcing repeatedly for as many years as that ILSS required to achieve equilibrium (this experimental component was designated EQY1), and then use the next three years' forcing to create three years' simulations (this 'Basin Comparison' was designated BC24).Access Rights
This collection of data is released as-is. Where data is publicly accessible, data will no longer be subject to embargo and can be used freely provided attribution for the source is given. It is encouraged that persons interested in using the data contact the parties listed for this record to obtain guidance and context in applying this data set and to stay informed about upcoming revisions and related releases of interest. Subjects
Atmospheric Sciences |
Climate Change Processes |
Craig-Gordon scheme |
Earth Sciences |
Isotopes |
PILPS |
land parameterisation |
model intercomparison |
water isotopes |
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Identifiers
- Local : research-data.ansto.gov.au/collection/300