Here, I present the status, and distributions of global mangroves using Landsat 30 meters and high (<5 meters) resolution satellite data. Each Landsat image was normalized for variation in solar angle and earthsun distance by converting the digital number values to the top-of-the-atmosphere reflectance.
In this talk, I will present an analysis of emission-driven simulations of Earth system models (ESMs) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5). Comparison of ESM prognostic atmospheric CO2 over the historical period with observations indicated that ESMs, on average, exhibited a small positive bias in predictions of contemporary atmospheric CO2, due in part to weak ocean carbon uptake.
Canopy- and leaf-scale measurements of plant phenology and solar induced fluorescence (SIF) provide a powerful tool to understand the growing season length, photosynthesis, and carbon dynamics. We developed new tools and methods to estimate plant phenology with digital cameras and SIF with high-resolution spectraradiometers.
The analysis of multivariate time series is a fundamental task that arises in numerous ecological and environmental applications. Scientists often need to understand how a variable changes, and how its relationships with other variables evolve over time. Such associations exhibit diurnal and seasonal patterns that need to be discovered and characterized.
Emerging water scarcity concerns in southeastern US are associated with several deeply uncertain factors, including rapid population growth, limited coordination across adjacent municipalities and the increasing risks for sustained regional droughts. Managing these uncertainties will require that water utilities identify regionally coordinated, scarcity-mitigating strategies that trigger the appropriate actions needed to avoid water shortages and financial instabilities.
This seminar will include a brief introduction of hyperspectral remote sensing, our experiences during data collection and manipulation, and our continuing progress in order to set a point of departure for a seminar series on hyperspectral data collection and analytics using the EcoSpec project as a case study.
Critical Zone science aims to discover how Earth's "living skin" is structured, evolves, and provides critical functions that sustain life. The structure and dynamics in this zone encompass the interaction and coevolution between biotic and abiotic constituents from instantaneous to deep time.
The southeast Atlantic is home to one of the largest stratocumulus decks on the planet. It is also unique in that it is overlain by shortwave-absorbing aerosols during the months when the cloud deck is most pronounced. These originate from Africa, the world's largest emitter of biomass-burning aerosols. This talk will provide an overview of what is and isn't known about the aerosol characteristics capable of influencing the low clouds, and of the low cloud response itself, in this climatically-important region.
A series of systematic two/three-dimensional (2D/3D) idealized numerical experiments were conducted to investigate the combined effects of dynamical and physical processes on orographic precipitation (OP) with varying incoming basic flow speed (U) and CAPE in a conditionally unstable uniform flow.
The Cloud, Aerosol, and Complex Terrain Interactions (CACTI) experiment in the Sierras de Córdoba mountain range of north-central Argentina is an Atmospheric Radiation Measurement (ARM) funded campaign designed to improve understanding of cloud lifecycle and organization in relation to environmental conditions so that cumulus, microphysics, and aerosol parameterizations in multi-scale models can be improved.
Model simulations of the earth-atmosphere system are often evaluated by comparing simulations of present-day climate with observations. In the case of clouds, satellite observations provide an attractive baseline for evaluation because they provide good (often global) spatial coverage and in some cases data records that span more than a decade.
Integrated modeling assists in the identification of problems in water resources management and facilitates decision making from a systems point of view. Existing models, however, were developed to address specific problems such as flooding, climate change, groundwater, or those related to socioeconomics.