Monsoons: Wet, Dry, Repeat... Abridged Version
- Visualizations by:
- Greg Shirah and
- Horace Mitchell
- Scientific consulting by:
- Dalia B Kirschbaum,
- Gail Skofronick Jackson, and
- George Huffman
- Produced by:
- Ryan Fitzgibbons
- Narration:
- Gail Skofronick Jackson and
- George Huffman
- View full credits
An abridged version of "Monsoons: Wet, Dry, Repeat..."
Complete transcript available.
Music: Letting Go by Mario Lauer, 24 Dimensions by Christian Telford, David Travis Edwards, Matthew St. Laurent, and Robert Anthony Navarro
This visualization uses a combination of NASA satellite data and models to show how and why the monsoon develops over this region. In the summer the land gets hotter, heating the atmosphere and pulling in cooler, moisture-laden air from the oceans. This causes pulses in heavy rainfall throughout the region. In the winter the land cools off and winds move towards the warmer ocean and suppressing rainfall on land.
This is an abridged version of a longer narrated visualization.
Credits
Please give credit for this item to:
NASA's Goddard Space Flight Center
Visualizers
- Greg Shirah (NASA/GSFC) [Lead]
- Horace Mitchell (NASA/GSFC) [Lead]
- Lori Perkins (NASA/GSFC)
- Trent L. Schindler (USRA)
Scientists
- Dalia B Kirschbaum (NASA/GSFC) [Lead]
- Gail Skofronick Jackson (NASA/GSFC) [Lead]
- George Huffman (NASA/GSFC) [Lead]
Producer
- Ryan Fitzgibbons (KBRwyle) [Lead]
Narrators
- Gail Skofronick Jackson (NASA/GSFC) [Lead]
- George Huffman (NASA/GSFC) [Lead]
Missions
This visualization is related to the following missions:Series
This visualization can be found in the following series:Datasets used in this visualization
IMERG
CPC (Climate Prediction Center) Cloud Composite
Global cloud cover from multiple satellites
See more visualizations using this data setSoil Moisture (Collected with the GEMS sensor)
GEMS stands for Goddard Earth Modeling System. It is also known as the NSIPP Global Climate Model.
See more visualizations using this data setNote: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.