Getting Out of My Stovepipe : The Art of Multidisciplinary Communication
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GNSS Reflectometry (GNSS-R) measurements are very sensitive to the presence of inland waters such as wetlands, floods, rivers and lakes. This paper reviews the basic characteristics of a GNSS-R ‘water detection’ product, including resolution and temporal sampling of wetlands, and discusses the main known sources of errors.
In the recent NASA Planetary Science Decadal Survey (2023-2032) the committee recommended that the highest scientific priority of NASA’s robotic exploration efforts this decade should be completion of Mars Sample Return (MSR) and recommended to prioritize the Uranus Orbiter and Probe as the highest-priority new flagship missions for the next decade while Saturn Probe is one of the themes still under consideration for New Frontiers. This short course presentation will discuss relevant environments for outer planet missions and TPS materials under development at NASA and their readiness to meet mission needs. In addition the presentation will discuss the status of thermal protection system for the MSR Earth Entry System that brings the Martian samples safely through the Earth’s atmosphere.
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Forests in Dynamic Global Vegetation Models (DGVMs) have historically been simulated as area-averaged plant functional types in each gridcell instead of representing communities of trees of different sizes and ages (demography). Just as the behaviour of a tree differs according to its ontogeny, so the behaviour of forests is known to differ depending on their demography. Accurately simulating demography is therefore key in order to address questions on afforestation and management strategies, as well as assessments of resilience of forests to disturbances such as drought and fire or diversity changes after a disturbance. Ultimately, demography determines the overall forest biomass in natural forests and is a key arbiter of growth and mortality rates. DGVMs are now able to simulate size and age structure of the trees in forests. However, these models have so far not been benchmarked alongside each other. We evaluate 6 DGVMs (BiomeE, CABLE-POP, FATES, LPJ-GUESS, JULES-RED, ORCHIDEE) against observations on regrowth dynamics as well as natural forests at boreal, temperate and tropical sites. We examine whether the models capture observed regrowth dynamics after disturbance, well-known stand size structure and well-established processes such as self-thinning. We outline the planned route forward towards a standardised international benchmarking framework for demographic DGVMs.
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