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52 changes: 32 additions & 20 deletions stories/camp-fire-burn-scar.stories.mdx
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<Block>
<Prose>
## How to Cite This Work
Blackford, Andrew C., "The impact of the 2018 camp fire on land-atmosphere interactions" (2024). Theses. 658. https://louis.uah.edu/uah-theses/658
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<Prose>
### References
Anthes, R.A. 1984. Enhancement of convective precipitation by mesoscale variations in vegetative covering in semiarid regions. Journal of Climate and Applied Meteorology, 23, 541-554. doi:10.1175/1520-0450(1984)023%3C0541:EOCPBM%3E2.0.CO;2

McCumber, M.C. 1980. A numerical simulation of the influence of heat and moisture fluxes upon mesoscale circulations. Ph.D. dissertation, University of Virginia. 255pp.

Pielke, R., and R. Avissar. 1990. Influence of landscape structure on local and regional climate. Landscape Ecology, 4, 133-155. doi:10.1007/BF00132857

Santanello Jr., J. A. et al. 2017: Land-Atmosphere Interactions: The LoCo Perspective. Bulletin of the American Meteorological Society, 99, 1253–1272. doi:10.1175/BAMS-D-17-0001.1

Wittenberg, L., et al. 2007: Spatial and temporal patterns of vegetation recovery following sequences of forest fires in a Mediterranean landscape, Mt Carmel Israel. Catena, 71, 76-83. doi:10.1016/j.catena.2006.10.007

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<Block>
<Prose>
## Additional Resources
[Dataset landing page for MODIS LST](https://modis.gsfc.nasa.gov/data/dataprod/mod11.php)
### Data Access

[Dataset landing page for MODIS NDVI](https://modis.gsfc.nasa.gov/data/dataprod/mod13.php)
* [Dataset landing page for MODIS LST](https://modis.gsfc.nasa.gov/data/dataprod/mod11.php)

[Dataset landing page for MODIS Albedo](https://lpdaac.usgs.gov/products/mcd43c3v006/)
* [Dataset landing page for MODIS NDVI](https://modis.gsfc.nasa.gov/data/dataprod/mod13.php)

* [Dataset landing page for MODIS Albedo](https://lpdaac.usgs.gov/products/mcd43c3v006/)

* [Dataset landing page for Harmonized Landsat Sentinel-2 data](https://lpdaac.usgs.gov/data/get-started-data/collection-overview/missions/harmonized-landsat-sentinel-2-hls-overview/)

[Dataset landing page for Harmonized Landsat Sentinel-2 data](https://lpdaac.usgs.gov/data/get-started-data/collection-overview/missions/harmonized-landsat-sentinel-2-hls-overview/)
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<Block>
<Prose>
## References
Anthes, R.A. 1984. Enhancement of convective precipitation by mesoscale variations in vegetative covering in semiarid regions. Journal of Climate and Applied Meteorology, 23, 541-554. doi:10.1175/1520-0450(1984)023%3C0541:EOCPBM%3E2.0.CO;2

McCumber, M.C. 1980. A numerical simulation of the influence of heat and moisture fluxes upon mesoscale circulations. Ph.D. dissertation, University of Virginia. 255pp.

Pielke, R., and R. Avissar. 1990. Influence of landscape structure on local and regional climate. Landscape Ecology, 4, 133-155. doi:10.1007/BF00132857

Santanello Jr., J. A. et al. 2017: Land-Atmosphere Interactions: The LoCo Perspective. Bulletin of the American Meteorological Society, 99, 1253–1272. doi:10.1175/BAMS-D-17-0001.1

Wittenberg, L., et al. 2007: Spatial and temporal patterns of vegetation recovery following sequences of forest fires in a Mediterranean landscape, Mt Carmel Israel. Catena, 71, 76-83. doi:10.1016/j.catena.2006.10.007

**Editors**: Andrew Blackford, Derek Koehl, Joshua Blumenfeld, Jerika Chung, Brian Freitag, and Udaysankar Nair

**Developers**: Andrew Blackford

**Science and Content Contributors**: Andrew Blackford, Brian Freitag, and Udaysankar Nair

**Questions / Feedback**: Email Andrew.Blackford@uah.edu

### Additional Resources

* Blackford, Andrew C., "The impact of the 2018 camp fire on land-atmosphere interactions" (2024). Theses. 658. https://louis.uah.edu/uah-theses/658

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6 changes: 2 additions & 4 deletions stories/changing-landscapes.stories.mdx
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Throughout the COVID-19 pandemic, governments have implemented, eased, and re-implemented restrictions limiting mobility and international travel to help slow the spread of the novel coronavirus. As a result, people have largely stayed home, and the ways in which we interact with the human-made and natural environments have changed. These changes have reverberated throughout Earth's systems and are observed in different ways by NASA satellites.
Throughout the COVID-19 pandemic, governments implemented, eased, and re-implemented restrictions limiting mobility and international travel to help slow the spread of the novel coronavirus. As a result, people largely stayed home, and the ways in which we interacted with the human-made and natural environments have changed. These changes have reverberated throughout Earth's systems and are observed in different ways by NASA satellites.
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From January through February 2020, nighttime lights in the central commercial district of Wuhan dimmed as people stayed home instead of shopping or socializing. Even highways, represented by the bright lines in the satellite imagery, darkened with less activity during shutdown periods.
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<Map
datasetId='nighttime-lights'
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## What have we learned and what opportunities are there for this research in the future?
## What have we learned?

How we interact with the environment has a noticeable effect on the land, air, and water. Scientists will continue to monitor the social and environmental changes associated with the pandemic, which provides a unique opportunity to characterize and study the effect we have on our planet.
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2 changes: 1 addition & 1 deletion stories/no2-and-so2.stories.mdx
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## Future Research
## Conclusion

These observations are informed by almost two decades of daily air pollution data that show an increasingly clear picture of where the gas comes from, how the amount entering the atmosphere has changed over time, and whether changes in air quality control are making a difference.

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8 changes: 8 additions & 0 deletions stories/phytoplankton-algal-blooms.stories.mdx
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### Conclusion
Phytoplankton are essential to aquatic ecosystems, supporting marine food chains and contributing to the Earth’s oxygen supply. However, HABs can disrupt these systems, posing risks to marine life, human health, and industries such as fisheries and tourism. Factors like nutrient pollution from agriculture and other human activities contribute to the increase in HAB occurrences. Advancements in satellite monitoring and predictive models are helping scientists detect and analyze these blooms, allowing resource managers to take proactive measures to mitigate their impact.
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2 changes: 1 addition & 1 deletion stories/tornadoes2024.stories.mdx
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**Acknowledgements**: The following collaborators have been a huge resource in expanding the Greenfield, Iowa analysis portion of this story into ongoing research that will be propagated into a peer-reviewed article by 2025: Dr. Josh Wurman, Dr. Karen Kosiba, Dr. David Roueche, Dr. Catherine Finley, Dr. Jana Houser, Dr. Christopher Phillips, and David Haliczer.

**Questions / Feedback**: Email acb0068@uah.edu
**Questions / Feedback**: Email Andrew.Blackford@uah.edu

### Additional Resources

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16 changes: 12 additions & 4 deletions stories/tws-trends.stories.mdx
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- NASA EIS
---

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<mark>🚧 This Discovery presents work in progress and not peer-reviewed results! 🚧</mark>

Authors: Wanshu Nie, Melissa Wrzesien, Shahryar Ahmad, Sujay Kumar, Kim Locke

[Join the discussion](https://github.com/orgs/Earth-Information-System/discussions) and provide comments on this Data Story.

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## Introduction
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The EIS team integrates the Noah-MP land surface model within [NASA’s LIS framework](https://lis.gsfc.nasa.gov/) and Earth observations by assimilating soil moisture from the Climate Change Initiative Program released by European Space Agency ([ESA CCI](https://esa-soilmoisture-cci.org/)), leaf area index from Moderate Resolution Imaging Spectroradiometer ([MODIS](https://lpdaac.usgs.gov/products/mcd15a2hv006/)), and terrestrial water storage anomalies from Gravity Recovery and Climate Experiment and the follow-on satellites ([GRACE/GRACE-FO](https://earth.gsfc.nasa.gov/geo/data/grace-mascons)). Using this data assimilation approach, the team provides a daily global water cycle reanalysis product for 2003-2021 at a 10 km spatial resolution. This allows us to better quantify surface variables and groundwater, human management influence, and hydrological extremes. These resulting reanalysis datasets are publicly available and interactable via this NASA VEDA platform, including key water, energy, and carbon fluxes such as terrestrial water storage (TWS) and gross primary production (GPP). For more information, please visit the corresponding [VEDA dataset page](https://www.earthdata.nasa.gov/dashboard/data-catalog?taxonomy=%7B%22Topics%22%3A%22eis%22%7D).

Join the discussion and provide comments on this Discovery at https://github.com/orgs/Earth-Information-System/discussions.

Authors: Wanshu Nie, Melissa Wrzesien, Shahryar Ahmad, Sujay Kumar, Kim Locke

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