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initial push of Darnah Flood data story #372

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a3e9a38
initial push of Darnah Flood data story
acblackford Feb 29, 2024
d4a0fc5
added Daniel satellite image and medicane prose
acblackford Feb 29, 2024
373794e
renamed daniel image file
acblackford Feb 29, 2024
31b1476
added more prose blocks
acblackford Feb 29, 2024
4decc27
added static figures of flood extent and building detection
acblackford Mar 5, 2024
fac032b
Created data.mdx for HLS pre- and post-flood
acblackford Mar 5, 2024
004eebd
syntax issues with data
acblackford Mar 5, 2024
1ec8508
fixing blocks in data catalog
acblackford Mar 5, 2024
17e650a
fixing coords on HLS
acblackford Mar 6, 2024
2c9d9e6
test
acblackford Mar 6, 2024
d8745f6
changed dataset ID
acblackford Mar 6, 2024
e2e1f6c
Added scrollytelling timeline of Daniel
acblackford Mar 6, 2024
a227500
test data config
acblackford Mar 18, 2024
622b570
changed asset_bidx
acblackford Mar 18, 2024
58ff3f3
further bidx editing
acblackford Mar 18, 2024
6082bcb
more bidx edits
acblackford Mar 18, 2024
0a814fc
added GPM data
acblackford Mar 19, 2024
cba6d8a
Added GPM data to scrollytelling
acblackford Mar 19, 2024
1845885
test update to darnah scrolly dates
jerikac Apr 17, 2024
9411ea7
testing darnah scrollytelling dates
jerikac Apr 17, 2024
0c2a3e7
testing scrolly dates pt. 2 sept 2
jerikac Apr 17, 2024
1796f61
Optimize images
hanbyul-here Apr 18, 2024
2c44e1b
new dataset- GPM IMERG turned into daily cogs for entire storm life.
acblackford Jun 4, 2024
7c0697b
updated scrollytelling with new dataset for GPM IMERG
acblackford Jun 4, 2024
54ebde7
fixed author order/added authors and disclaimer to old stories
acblackford Jun 13, 2024
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146 changes: 146 additions & 0 deletions datasets/darnah-flood.data.mdx
Original file line number Diff line number Diff line change
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---
id: darnah-flood
name: 'Darnah, Libya Flood'
description: "HLS (SWIR FalseColor composites) imagery supporting the Darnah Flood Story"
media:
src: ::file ./darnah-flood-background.jpg
alt: Aerial view over the Wadi Darnah River post-flood in Derna, Libya on September 14, 2023.
author:
name: Marwan Alfaituri (Reuters)
url: https://abcnews.go.com/International/casualties-libya-floods-avoided-world-meteorological-organization-chief/story?id=103200104
taxonomy:
- name: Topics
values:
- EIS
- name: Source
values:
- UAH

layers:
- id: darnah-flood
stacCol: darnah-flood
name: HLS SWIR FalseColor Composite
type: raster
description: 'HLS falsecolor composite imagery using S30 Bands 12, 8A, and 4, over Darnah, Libya.'
zoomExtent:
- 0
- 20
sourceParams:
rescale:
- 0,5000
resampling: bilinear
asset_bidx: cog_default|1,2,3
compare:
datasetId: darnah-flood
layerId: darnah-flood
mapLabel: |
::js ({ dateFns, datetime, compareDatetime }) => {
return `${dateFns.format(datetime, 'DD LLL yyyy')}`;
}

- id: darnah-gpm-daily
stacCol: darnah-gpm-daily
name: GPM Accumulated Rainfall
type: raster
description: 'Accumulated Rainfall (mm) over the eastern Mediterranean Sea from Medicane Daniel (4 - 16 September, 2023).'
initialDatetime: newest
zoomExtent:
- 0
- 20

sourceParams:
colormap_name: inferno
nodata: 0
resampling: bilinear
bidx: 1
rescale:
- 0.1
- 500

legend:
type: gradient
min: "0.1 mm"
max: "500 mm"
stops:
- '#08041d'
- '#1f0a46'
- '#52076c'
- '#f57c16'
- '#f7cf39'

---

<Block>
<Prose>
## Overview

On Monday, September 11, 2023, the city of Darnah, Libya experienced the [deadliest flood disaster of the 21st century](https://www.google.com/url?q=https://www.aa.com.tr/en/environment/floods-in-libya-s-derna-worst-disaster-in-21st-century/2992617&sa=D&source=docs&ust=1709231595507737&usg=AOvVaw3MuRygRSSxtExzI_shVddG), and Africa’s deadliest flood ever recorded. A storm in the Mediterranean Sea dubbed ‘Medicane Daniel’ moved over northeastern Libya on the evening of the 10th, dumping prolific rain over the desert the morning of the 11th. A record 16” of rainfall was measured in 24 hours at the city of Al-Bayda, Libya (just west of Derna) from ‘Medicane’ Daniel. Two dams upstream of Darnah collapsed during the heavy rains leading to approximately [25% of the city being destroyed](https://www.google.com/url?q=https://www.reuters.com/world/africa/more-than-1000-bodies-recovered-libyan-city-after-floods-minister-2023-09-12/&sa=D&source=docs&ust=1709231595509452&usg=AOvVaw083l0kMybsbbwT18u4SVTm). The first dam broke around 3:00 AM local time on September 11th, and the second followed suit shortly thereafter, which exacerbated the death toll greatly. The International Committee of the Red Cross (ICRC) reported that proceeding the dam bursts, a wave as high as 23 feet (7 meters) rushed towards the city. With a population of 120,000, the major city of Darnah saw massive destruction, with entire districts of the city being washed away.Nearly 1,000 buildings are estimated to have been completely destroyed as well as 5 major bridges that connect the west and east sides of the city. The United Nations Office for the Coordination of Humanitarian Affairs initially reported a death toll currently sits at 11,300 with another 10,100 reported missing. This estimate was later revised to [3,958 fatalities](https://www.aljazeera.com/news/2023/9/18/libya-floods-conflicting-death-tolls-greek-aid-workers-die-in-crash) on September 18.

</Prose>
</Block>


<Block>
<Prose>
## Scientific Research


The primary dataset employed in analyzing the Darnah flood, alongside Integrated Multi-Satellite Retrivals for the Global Precipitation Measurement Mission (GPM IMERG) data, is a three-band HLS composite image created from the shortwave infrared, narrow near-infrared, and red bands of pre and post-flood HLS data, supplemented with total rainfall data from GPM taken from 5 to 16 September 2023. These scenes were acquired on September 7 and 22, 2023. The SWIR false color composite visually illustrates the extent of the greenup resulting from heavy rainfall leading to the flood, while GPM's total rainfall data provides insight into precipitation patterns associated with Medicane Daniel over the eastern Mediterranean region.

These datasets support ongoing scientific research and analysis of the Darnah flood and its aftermath. They aid in assessing the flood's impact on local land cover, vegetation extent, sediment loading, and precipitation patterns. Furthermore, they facilitate the monitoring of long-term environmental recovery and ecosystem resilience, as well as evaluating the effectiveness of flood mitigation and dam rebuilding efforts upstream of Darnah.

</Prose>

<Figure>
<Map
center={[22.6408, 32.7616]}
zoom={12}
datasetId='darnah-flood'
layerId='darnah-flood'
dateTime='2023-09-22'
/>
<Caption
attrAuthor='NASA'
attrUrl='https://nasa.gov/'
>
SWIR False color HLS imagery showing the destroyed area of Darnah, Libya along the Wadi Darnah River on 22 September 2023.
</Caption>
</Figure>

</Block>

<Block>
<Prose>
## Interpreting the Data

The HLS and GPM datasets concerning the Darnah Flood should be interpreted with careful consideration of temporal, spatial, and environmental factors.

Temporal Aspects: The HLS SWIR FalseColor composite images were taken at 10:30 AM LST on September 7 and 22, 2023, corresponding to pre- and post-flood times. The GPM total rainfall data is a summed daily rainfall accumulation product that spans from September 5 to 16, 2023.

Spatial Aspects: All three bands used from the HLS dataset are at 30-meter resolution, providing detailed spatial information. GPM's total rainfall data covers the entire eastern Mediterranean region, offering insights into the broader spatial distribution of precipitation associated with Medicane Daniel, and is at 0.1 by 0.1 degree spatial resolution.

Environmental Aspects: When interpreting the data, it is crucial to consider the local topography and land cover. Darnah, situated along the southern coast of the Mediterranean Sea, experiences rapidly rising terrain to its south and lies within the Saharan Desert region.
</Prose>
</Block>

<Block>
<Prose>

## Additional Resources

* [Harmonized Landsat-Sentinel](https://hls.gsfc.nasa.gov/)

* [European Commission Report 9/13/2023](https://upload.wikimedia.org/wikipedia/commons/2/2c/ECDM_20230913_FL_Libya.pdf)

</Prose>
</Block>

<Block>
<Prose>

## Data Story

* [The Deadliest Flood of the 21st Century](https://www.earthdata.nasa.gov/dashboard/stories/darnah-flood)

</Prose>
</Block>
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