Top Tweets for #multisectordynamics
Thank you all for attending today's webinar! We had a great turnout .. what an exciting way to launch our working group on #AI for #MultiSectorDynamics research!
https://t.co/c244S8dQLb
Urban planners and #MultiSectorDynamics researchers require population data at small spatial scales. Heng Wan et al demonstrate the value of combining landscape metrics based on imperviousness data with machine learning for improved population downscaling.
https://t.co/824qxHsTsQ
Attending #AGU23? Consider the 10 accepted session proposals affiliated with the #MultiSectorDynamics Community of Practice! These sessions will bring together researchers from around the world to present compelling MSD work and develop the MSD community.
https://t.co/6BZ5nAMKok
v2 of MSD-LIVE is live! Users can now use a simple command line interface (CLI) to upload and download large data files. You can also upload nested folders of files. These features facilitate #MultiSectorDynamics research with complex data requirements.
https://t.co/91Sai7uISA
Overall, this dataset can assist in calibration and uncertainty characterization for CLM5. This can support a variety of applications in #MultiSectorDynamics, such as flood & drought risk analysis, sustainable water-energy-food systems, and climate change mitigation & adaptation.
Hydrologic predictions from land surface models are used in a range of #MultiSectorDynamics models, but understanding the uncertainty in these predictions is challenging. @yanxiang531 et al present a new dataset on uncertainty in CLM5 in @ScientificData.
https://t.co/Z1OvToK2Fv
Congrats @yanxiang531 and all of our co-authors on the just released open access Scientific Data paper:
Characterizing uncertainty in CLM-v5 hydrological applications in the United States. https://t.co/HTHkUh5A7L
Adaptation planning & #MultiSectorDynamics research require an understanding of how local flood risks will evolve over time given global sea level rise. @HermansTHJ et al develop new tools for providing decision-relevant info in @NatureClimate (see thread)
https://t.co/Mlh6YeKVxx
This work ties to several key questions in #MultiSectorDynamics research, especially in the representation of human systems (graphic: Reed et al. 2022). For example, see this previous thread on @jimjyoon et al.’s typology of human action in MSD modeling.
https://t.co/GZpQcSggOD
Adaptive behavior of humans is increasingly recognized as a prominent driver of the behavior, trajectory, and vulnerability of multisector systems. Nevertheless, human adaptation is often neglected, oversimplified, and/or fragmented across research communities.
There are SIX #multisectordynamics poster sessions starting in a couple minutes at the McCormick Poster Hall! #AGU22
There are SIX #multisectordynamics poster sessions starting in a couple minutes at the McCormick Poster Hall! #AGU22
We welcome a wide range of contributions on modeling human agency in #sustainability transformations to this #EGU23 session.
Convened by @jimjyoon, Julien Harou @UMWaterResGroup, @MansiNagpal8
https://t.co/zGgSNXMdt0
#MultiSectorDynamics
How can disaster risks be managed adaptively in contexts with multiple hazards, multiple objectives, and complex #MultiSectorDynamics? @JuliusSchlmbrgr et al. recently updated the Dynamic Adaptive Policy Pathways concept to include Multi-Risk (see thread):
https://t.co/X8XR8aMZTj
Metrics as tools for bridging climate science and applications - recent paper by Kevin A. Reed et al.
#multisectordynamics https://t.co/0GmiKM4tLs
Downscaled and bias-corrected climate projections are often used to drive #MultiSectorDynamics models, but what are potential consequences of this approach? @DavidCLafferty et al. explore this question in their 2021 @CommsEarth paper: https://t.co/xAnarH2BoF
In their new #OpenAccess paper in @EarthsFutureEiC, Srikrishnan et al. provide a comprehensive review of the challenges and opportunities for improving uncertainty representation and communication in interdisciplinary #MultiSectorDynamics models.
https://t.co/Jbafy6PkUc
In last week’s thread, we discussed the need for more comprehensive and cohesive treatment of adaptive human systems within #MultiSectorDynamics models.
https://t.co/GZpQcRYFq3
Adaptive behavior of humans is increasingly recognized as a prominent driver of the behavior, trajectory, and vulnerability of multisector systems. Nevertheless, human adaptation is often neglected, oversimplified, and/or fragmented across research communities.
In their new #OpenAccess paper in @EarthsFutureEiC, @jimjyoon et al. introduce a new typology for representing human actors in #MultiSectorDynamics models to cohere insights across diverse modeling approaches.
https://t.co/UgHeDWgWTv
#MultiSectorDynamics research aimed at aiding decision-makers should ensure that models can capture internal system dynamics at decision-relevant timescales. Doss-Gollin et al (2019) explore this topic in their 2019 @EarthsFutureEiC paper. @jdossgollin
https://t.co/o22VGUr1ZU
interflow: A Python package to organize, calculate, and visualize sectoral interdependency flow data - a new python package by Kendall L. Mongird, Konstantinos Oikonomou, Juliet S. Homer, and Jennie S. Rice #python #datavisualization #multisectordynamics https://t.co/vN29CaTE4J
Scenario ensembles improve uncertainty representation in #MultiSectorDynamics, as we highlighted in several recent threads. @CelineGuivarch et al. (2022, @NatureClimate) review the use of large ensembles of climate change mitigation scenarios (see thread).
https://t.co/yPhR1epAV6
Our paper, 'Using large ensembles of climate change mitigation scenarios for robust insights', is just out in @NatureClimate.
https://t.co/qNnUiaIVNC
A short summary.🧵
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