Welcome to ChronoClimateHub, where time tells the tale of our planet's transformations. Through captivating timelapse videos, witness the profound shifts in climate, biodiversity, and ecological landscapes across various regions of the world.
- ThermoPrecipTrends: Experience the temperature and SPEI fluctuations in the contiguous US from 1960 to September 2023.
- SundarbanShifts: Traverse the NDVI evolution between 2000 and 2023 within the Sundarbans, the majestic mangrove forest that stands as the world's largest.
- AerosolOdyssey: Traverse the absorbing aerosol index variations in New Delhi from November 2018 to August 2023, unveiling the atmospheric aerosol dynamics.
- SO2Saga: Witness the sulfur dioxide emission patterns over Staten Island, New York from November 2018 to August 2023, revealing the interplay of natural and anthropogenic emissions.
... and many more chronicles to be added soon!
Link to app: https://chronoclimateapp.streamlit.app/
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Temperature, SPEI, and other climate data are primarily sourced from the National Centers for Environmental Information (NCEI). Citation for Temperature data: Vose, Russell S., Applequist, Scott, Squires, Mike, Durre, Imke, Menne, Matthew J., Williams, Claude N. Jr., Fenimore, Chris, Gleason, Karin, and Arndt, Derek (2014): NOAA Monthly U.S. Climate Gridded Dataset (NClimGrid), Version 1. [indicate subset used]. NOAA National Centers for Environmental Information. DOI:10.7289/V5SX6B56 [9/25/2023].
Citation for SPEI: Link: https://www.drought.gov/data-maps-tools/us-gridded-standardized-precipitation-index-spei-nclimgrid-monthly Please let me know if you find an APA citation for this dataset. I'd be happy to change it.
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NDVI insights for the Sundarbans are derived from the MODIS satellite's MOD13A2 product MODIS/061/MOD13A2. Citation: Didan, K. (2021). MODIS/Terra Vegetation Indices 16-Day L3 Global 1km SIN Grid V061 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center. Accessed 2023-09-25 from https://doi.org/10.5067/MODIS/MOD13A2.061
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The aerosol data encapsulates the Absorbing Aerosol Index (AAI) which is pivotal for detecting absorbing aerosol particles in the atmosphere COPERNICUS/S5P/NRTI/L3_AER_AI
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The SO2 data, derived from the TROPOMI instrument on board the Sentinel-5P satellite, provides insights into sulfur dioxide emissions which have both natural and anthropogenic sources Sentinel-5P NRTI SO2: Near Real-Time Sulfur Dioxide
- Clone the repository: git clone https://github.com/SamMajumder/ChronoClimateHub.git