Periodic Reporting for period 4 - OXYGEN (Quantifying the evolution of Earth's atmosphere with novel isotope systems and modelling)
Berichtszeitraum: 2020-12-01 bis 2021-11-30
We vastly expanded the global database of oxygen and sulfur MIF measurements and made strong contributions to the framework for their interpretation. We were able to constrain periods when early earth went from primarly volcanic atmospheric composition (prior to 2.7 Ga) to one dominated by life (after 2.7 Ga). We revolutionized the models used to understand the great oxidation event, demonstrating dynamic behavior that drives the Earth's atmosphere between negligible concentrations and those within 2 orders of magnitude of the modern, without stabilizing in between. An independent framework developed to use the appearance/magnitude of mass-independent oxygen isotope fractionation to constrain paleo pO2 provides a complementary story. In addition, we undertook a through exploration of the driest place on Earth - and used geochemical measurements coupled with techniques of molecular biology to identify biosignatures as the imprint themselves onto abiotic atmospheric inputs.
Developed novel methodology (IE-CRDS) for measuring triple oxygen isotopes in nitrates, and published in RCMS
Obtained geologic samples from Russia, USA, Chile, and the UK.
Analyzed the worlds oldest salt deposits, and published our results in Science
Created a quadruple sulfur isotope model and published our results in PNAS and Astrobiology.
Built the worlds second Curie Point Pyrolysis line for multiple sulfur isotopes, and published results in PNAS (2x) and Geochemical Perspective Letters
Developed new photochemical and isotopic models for understanding the evolution of Earth's atmosphere
Identified novel biosignatures for Mars analog environments
Ongoing work that should lead to publications extending beyond the end of the project:
We are developing a triple oxygen isotope photochemical model which contrains triple oxygen isotope measurements made during the action.
We are developing key numerical techniques (MCUP-SA and Bayesian Inverse modeling) for 1-D photochemical modelling which will enable us to quantify and reduce uncertainties in photochemical predictions.
We will continue to produce interesting papers on both sulfur and oxygen MIF in key intervals in Earth History, with key constraints for the evolution of atmospheric chemistry