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National Listening Session Series Kick-off: Drought Prediction and Water Availability

Event Date
February 9, 2022
Event Time
12:00 pm - 1:00 pm
Timezone
CST

The U.S. Geological Survey (USGS) and NOAA’s National Integrated Drought Information System (NIDIS) webinar served as the kickoff to a series of listening sessions to seek input on priorities and needs related to predicting water availability changes under drought conditions at national and regional scales. This input will be used to guide USGS Drought Program planning and orientation, as well as to inform other national drought programs. 

This webinar, held on February 9, 2022, introduced upcoming end user listening sessions and provided a short overview of the USGS Drought Program work to characterize hydrological (e.g., streamflow and groundwater) drought variability, drivers and trends over the past century.

For more information, see the final USGS-NIDIS report on this series: Drought Prediction and Water Availability: A Report on the 2022 USGS-NIDIS National Listening Session Series.

Timestamp
0:00

Intro and Welcome

Speaker: Joel Lisonbee, NOAA National Integrated Drought Information System (NIDIS), Cooperative Institute for Research in Environmental Sciences (CIRES)

  • Overview of today’s kick-off meeting
  • Who’s who at USGS and NIDIS?

 

Timestamp
3:57

USGS Drought Science Overview

Speaker: Brian Clark, USGS Drought Science Program and Water Availability and Use Science Program

  • Why USGS and drought?
  • USGS drought projects
  • Why are we working together to seek input from you?
  • Where are we headed?

 

Timestamp
10:00

Hydrologic Drought Prediction Projects

Speaker: John Hammond, USGS Regional Drought Project Manager

  • What is hydrological drought?
  • Characterizing streamflow drought
  • Predicting streamflow drought

 

Timestamp
26:22

Questions and Answers

Moderator: Katharine Dahm, USGS Rocky Mountain Region

View Webinar Questions & Answers (PDF)

 

Timestamp
53:00

Next Steps

Speaker: Joel Lisonbee, NOAA/NIDIS, CIRES