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Advanced Webinar: Applications of GPM IMERG Reanalysis for Assessing Extreme Dry and Wet Periods

10:00-12:00 & 16:00-18:00 EST (UTC-5) - 28, 30 January and 4 February 2020

It is well recognized that long-term precipitation measurements are necessary for understanding and monitoring regional precipitation characteristics. This includes characteristics crucial for monitoring water resources and hazards, like floods and droughts. TRMM was the first NASA mission dedicated to observing precipitation.

 

It operated from November 1997 to April 2015. The Global Precipitation Measurement (GPM) Mission launched in February 2014 as a follow-on to TRMM. Both TRMM and GPM satellites, together with additional national and international satellites, were used to produce multi-satellite products such as TMPA and IMERG. Until recently these two separate products covered different time periods. There was a lack of long-term, continuous, precipitation time series. 

 

Recently, GPM-IMERG retrospectively analyzed TRMM-TMPA data to produce a consistent, combined precipitation time series from 2000-present. This extended IMERG data product is available at half-hourly resolution and 0.1x0.1 degree spatial resolution. The product will be useful for deriving long-term mean precipitation as reference. It will also help with monitoring extreme precipitation at regional scale.

 

Past ARSET trainings on water resources and flood management covered TMPA and IMERG data and their applications in detail. This advanced webinar will focus on analysis and interpretation of the new long-term IMERG data, focused on extreme dry and wet period monitoring and management. The webinar will include lectures and hands-on exercises to derive regional precipitation statistics.

 

Course Dates: January 28, 30, and February 4, 2020.

 

Times: 10:00-12:00 & 16:00-18:00 EST (UTC-5); There will be identical sessions at two different times of the day

 

Learning Objectives: 

By the end of this training, attendees will be able to: 

  • Derive regional precipitation statistics (mean, standard deviation, anomalies, percentile values) 
  • Calculate and interpret the Standardized Precipitation Index (SPI) for assessing extreme dry and wet periods

 

Course Format: 

  • Three, two-hour parts that include lectures and demonstrations, exercises, and question and answer sessions

 

Relevant UN Sustainable Development Goals: Accurate, consistent precipitation measurement can help to achieve:

  • Target 6.4: By 2030, substantially increase water-use efficiency across all sectors and ensure sustainable withdrawals and supply of freshwater to address water scarcity and substantially reduce the number of people suffering from water scarcity
  • Target 2.4: By 2030, ensure sustainable food production systems and implement resilient agricultural practices that increase productivity and production, that help maintain ecosystems, that strengthen capacity for adaptation to climate change, extreme weather, drought, flooding and other disasters and that progressively improve land and soil quality

 

Registration Information: https://go.nasa.gov/35oOBQf


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