Difference between revisions of "Agclimate telecon 2014-10-07"

From Earth Science Information Partners (ESIP)
 
(One intermediate revision by the same user not shown)
Line 10: Line 10:
 
* David Augustine (USDA ARS) to discuss use case(s).
 
* David Augustine (USDA ARS) to discuss use case(s).
  
** 2 Ideas proposed:
+
** 2 Ideas proposed by David A.:
# LTAR increase on soil moisture - hydrology and water retention : network of soil moisture sensors (experimental      cattle ranch) Lot of work could do to fill in gaps between satellite and ground
+
# LTAR increased focus on soil moisture - hydrology and water retention : network of soil moisture sensors (experimental      cattle ranch) Lot of work could do to fill in gaps between satellite and ground
 
# Also how much could learn from the combination of soil moisture and satellite combo with cattle weight gain.  (temporal variation)
 
# Also how much could learn from the combination of soil moisture and satellite combo with cattle weight gain.  (temporal variation)
 
Spatial resolution of the different products?
 
Spatial resolution of the different products?
 
Gridded products are all in the quarter to tenth of a degree range
 
Gridded products are all in the quarter to tenth of a degree range
  
**What would be the coarsest resolution?: 1.5 Km or 1 mile
+
**What would be the coarsest resolution acceptable to David A.?: 1.5 Km or 1 mile
**Most producers don't have what they have  - establish these relationships first
+
**Most producers don't have what they (ARS) have  - establish these relationships first (between ground measurements and, e.g., cattle weight gain)
** 16,000 acre station has: 3 met stations 4 miles apart and 25 locations with sensors to measure soil moisture.
+
** 16,000 acre station has: 3 met stations 4 miles apart and 25 locations with sensors to measure soil moisture (28 total)
 
**Think we can work to establish relationships between - at large scales extrapolation- not at small scale - at climate hubs and drought mitigation center
 
**Think we can work to establish relationships between - at large scales extrapolation- not at small scale - at climate hubs and drought mitigation center
 
**Could use some of the stations as test sites
 
**Could use some of the stations as test sites

Latest revision as of 18:38, October 7, 2014

Back to Ag & Climate Workspace

Agenda


Minutes:

  • David Augustine (USDA ARS) to discuss use case(s).
    • 2 Ideas proposed by David A.:
  1. LTAR increased focus on soil moisture - hydrology and water retention : network of soil moisture sensors (experimental cattle ranch) Lot of work could do to fill in gaps between satellite and ground
  2. Also how much could learn from the combination of soil moisture and satellite combo with cattle weight gain. (temporal variation)

Spatial resolution of the different products? Gridded products are all in the quarter to tenth of a degree range

    • What would be the coarsest resolution acceptable to David A.?: 1.5 Km or 1 mile
    • Most producers don't have what they (ARS) have - establish these relationships first (between ground measurements and, e.g., cattle weight gain)
    • 16,000 acre station has: 3 met stations 4 miles apart and 25 locations with sensors to measure soil moisture (28 total)
    • Think we can work to establish relationships between - at large scales extrapolation- not at small scale - at climate hubs and drought mitigation center
    • Could use some of the stations as test sites
    • Talking about how to get the data -capturing that within spreadsheet
    • Bill to send spreadsheet and examples to David Augustine DONE

Call for other ideas to discuss during the meeting One thought: Obstacles of data resolution in application to other endeavors What have people done with that in the past? Others?

Attendees: Arif Albayrak, Bill Teng, Brian Wee, David Augustine Reid Boehm