Countries: Country borders: Capital cities: Legend [L]:
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Global landslide nowcast
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Time of day
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Hazard Range (%): 
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Precip. accumulations 
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Data not available on this date. Time period
Colors
Accumulation Range (mm): 
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Basemap
Night level (%):  0
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Fly to:
Region:  Country: Capital:  __________________
End date:
 
Precipitation and Applications Global Viewer:
The GPM Precipitation and Applications Viewer a web tool designed to help visualize 1-day, 3-day, and 7-day accumulations from IMERG data, as well as landslide data from the LHASA model. Images are updated hourly as data are produced. Use your mouse or trackpad to navigate around the globe or use the controls on the left to "fly to" a region, country, or city of interest. Select from a list of recent dates to view precipitation and landslide estimates for the week ending on that date.
About the global landslide nowcast data:
The global Landslide Hazard Assessment for Situational Awareness system (LHASA) version 2.1 maps areas of potential landslide hazard in real time. It improves upon LHASA 1.1 by incorporating landslide inventories from around the world within a machine-learning framework that estimate the relative probability of landslide occurrence. LHASA relies on the following variables: snow mass, soil moisture, slope, distance to faults, lithologic strength, antecedent rainfall, and current daily rainfall. Current and antecedent rainfall are derived from the Global Precipitation Measurement (GPM) Integrated Multi-SatellitE Retrievals for GPM (IMERG). In addition, LHASA estimates the potential exposure of human population and roads to landslide hazard and maps the basins likely to experience post-fire debris flows. The model was validated with reference to the Global Landslide Catalog and several other inventories of rainfall-triggered landslide events. LHASA is twice as likely to predict the occurrence of historical landslides as LHASA 1.1, while having the same false positive rate. LHASA is open-source and is produced at a 1-km resolution.
About the precipitation accumulation data:
NASA's Integrated Multi-satellitE Retrievals for GPM (IMERG) product combines information from the GPM satellite constellation to estimate precipitation over the majority of the Earth's surface. IMERG is particularly valuable over areas of Earth's surface that lack ground-based precipitation-measuring instruments, including oceans and remote areas.
About GPM:
The Global Precipitation Measurement (GPM) mission is an international network of satellites that provide next-generation global observations of rain and snow. Building upon the success of the Tropical Rainfall Measuring Mission (TRMM), the GPM concept centers on the deployment of a "Core Observatory" satellite carrying an advanced radar / radiometer system to measure precipitation from space and serve as a reference standard to unify precipitation measurements from a constellation of research and operational satellites. Through improved measurements of precipitation globally, the GPM mission is helping to advance our understanding of Earth's water and energy cycles, improve forecasting of extreme events that cause natural hazards and disasters, and extend current capabilities in using accurate and timely information of precipitation to directly benefit society.
Download IMERG data:
(Requires a NASA PPS account. Register here.)
tif tfw zip (contains total precip. as well as liquid vs. solid estimates)
Read the User Guide to learn about IMERG GeoTIFF-formatted files from PPS.
Try these similar tools for visualizing IMERG data:
Interested in viewing animations of recent precipitation data on a sphere? Try RAIN-Global, a web interface that serves 7-day animations of precipitation rates and accumulations from GPM IMERG data:
Download IMERG data:
(Requires a NASA PPS account. Register here.)
tif tfw zip (contains total precip. as well as liquid vs. solid estimates)
Read the User Guide to learn about IMERG GeoTIFF-formatted files from PPS.
Welcome to the Precipitation and Applications Global Viewer!
Now viewing: Global landslide nowcast and IMERG precipitation accumulation estimates for the week ending on:  yyyy-mm-dd, hhmm UTC