Advanced Webinar: Applications of GPM IMERG Reanalysis for Assessing Extreme Dry and Wet Periods
Date Range: January 28, 2020. January 30, 2020. February 4, 2020
Times: 10:00-12:00 & 16:00-18:00 EST (UTC-5)
Registration Closes: Tuesday, February 4, 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.
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
- There will be identical sessions at two
different times of the day
Prerequisites:
Attendees that do not complete the required
prerequisites may not be adequately prepared for the pace of the training.
- Fundamentals of Remote Sensing
- Overview and
Applications of Integrated Multi-Satellite Retrievals for GPM (IMERG)
Long-term Precipitation Data Products
- Download and Install QGIS
- Download and
Install Python with Anaconda
- For Windows users, Download Git Bash in addition to Anaconda
- Download and Install Panoply
- Register for a
NASA Earthdata account
Audience:
Local, regional, state, federal, and international entities, including
public and private sector organizations, engaged in water resources and
disaster management.
Registration Information:
Course
Agenda:
Part One: Calculation of Precipitation Statistics Using IMERG
This session will provide a brief overview of IMERG
data including its strengths and caveats and how to access and download IMERG
data. The lecture will then follow with a hands-on exercise on the calculation
of regional statistics utilizing precipitation IMERG data.
English:
- View
the Recording »
- Presentation Slides »
- Exercise 1 »
- Part 1 Data »
- Homework 1 (Due Feb 11) »
- Q&A Transcript »
Spanish:
- Diapositivas de la Presentación »
- Ejercicio 1 »
- Datos de la Parte 1 »
- Tarea 1 (Debida el 11 de Febrero) »
Part Two: Calculate Standardized Precipitation Index (SPI) based on
IMERG to Monitor Wet and Dry Conditions
This session will show attendees how to calculate
SPI on defined time scales of 1 to 3 months as well as diagnosis of wet and dry
conditions based on SPI. The session will then follow with an exercise
calculating SPI on 1 to 3 month time scales.
English:
- View
the Recording »
- Presentation Slides »
- Part 2 Data »
- Homework 2 (Due Feb 18) »
- Q&A Transcript »
Spanish:
Part Three: Flood and Drought Risk Assessment Based on SPI
This session will focus on the analysis of SPI for
~20-year period (2000 to present) to assess the frequency and spatial extent of
extreme wet and dry conditions, together with socioeconomic data to understand
flood and drought risk.
English:
- View the Recording »
- Presentation Slides »
- Homework 3 (Due Feb 25) »
- Q&A Transcript »
Spanish:
- Diapositivas de la Presentación »
- Tarea 3 (Debida el 25 de Febrero) »
Application Area:
Available Languages:
Instruments/Missions:
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