High Resolution Layers from "Monsoons: Wet, Dry, Repeat..."
The visualizations here are based on the visualization Monsoons: Wet, Dry, Repeat (#4397). Each data set is presented in three resolutions: 8192x4096, 4096x2048, and 2048x1024. Each the 8192x4096 and 4096x2048 layers have been rendered with alpha transparency channels to allow you to create your own combinations of layered data. NOTE: the preview movies are composited over a black background, but the individual 8192x4096 and 4096x2048 frames have transparency channels. The 2048x1024 frames do not have transparency channels.
The layers have frame numbers from 01000 through 13000. Frame 01000 corresponds to 02 Jun 2014 at 00:00 GMT. Each successive frame is 15 minutes later. Frame 13000 corresponds to 05 Oct 2014 at 00:00 GMT. To determine the time for a specific layer's frame number, you can look at the date sequence's corresponding frame.
Even though all layers are provided at 15 minute intervals, most data sets do not have such a high cadence. In these cases, the frames simply show the same data. See the annotation with each data set for the cadences.
Please give credit for this item to:
NASA's Scientific Visualization Studio
MissionsThis visualization is related to the following missions:
Datasets used in this visualization
Soil MoistureID: 405Model Collected with GEMS NASA NSIPP
GEMS stands for Goddard Earth Modeling System. It is also known as the NSIPP Global Climate Model.See all pages that use this dataset
CPC (Climate Prediction Center) Cloud CompositeID: 600Data Compilation Climate Prediction Center (CPC) 2014-2015
Global cloud cover from multiple satellitesSee all pages that use this dataset
MERRAID: 684Analysis 2014-2015
IMERGID: 863Data Compilation NASA/GSFC 2014-2015
This dataset can be found at: http://pmm.nasa.gov/sites/default/files/document_files/IMERG_ATBD_V4.4.pdfSee all pages that use this dataset
Global Flood Monitoring System (GFMS)ID: 901Model UMD
Note: 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.