Babitha George
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View article: Towards better black carbon emission estimates in Europe: assimilating observations with a Bayesian inversion framework
Towards better black carbon emission estimates in Europe: assimilating observations with a Bayesian inversion framework Open
There are large discrepancies between different black carbon (BC) bottom-up emission estimates. This affects our understanding of how BC affects population health and climate. Previous studies have presented top-down estimates in various d…
Indigenous mental health research in the context of climate change: methodological reflections on language and barriers to cultural practice Open
Climate change creates unique forms of psychological distress for Indigenous Peoples whose identities and cultural practices are often intrinsically connected to ancestral lands, yet research on culturally appropriate methodologies for stu…
An Efficient Method to Identify Regions of Initial Condition Uncertainty for Short-Range Rainfall Forecast during Indian Summer Monsoon Season Open
Forecast errors can be reduced if observations are assimilated in regions with the largest percentage of analysis error growth. Adjoint or ensemble sensitivity analysis provides a way to determine the relationship between a scalar forecast…
Land Body Ecologies: A case study for global transdisciplinary collaboration at the intersections of environment and mental health Open
Land Body Ecologies (LBE) is a global, transdisciplinary research group seeking to understand the mental health dimensions of minority, Indigenous and other land-dependent communities’ relationship to ecologies in a changing environment. W…
Multivariate Ensemble Sensitivity Analysis for an Extreme Weather Event Over Indian Subcontinent Open
Ensemble forecasts have proven useful for diagnosing the source of forecast uncertainty in a wide variety of atmospheric systems. Ensemble Sensitivity Analysis (ESA) uses ensemble forecasts to evaluate the impact of changes in initial cond…
Understanding the Dynamics of a Heavy Rainfall Event using Multivariate Ensemble Sensitivity Analysis  Open
Ensemble forecasts have proven useful for investigating the dynamics in a wide variety of atmospheric systems and they might be useful for diagnosing the source of forecast uncertainty in multi-scale flows. Ensemble Sensitivity Analysis (E…