Session 13A Earth Observations and Environmental Modeling for Agriculture and Food Security - III

Thursday, 16 January 2020: 10:30 AM-12:00 PM
Host: 34th Conference on Hydrology
Chair:
Pierre Guillevic, University of Maryland, Department of Geographical Sciences, College Park, MD
CoChair:
Chris Justice, Univ. of Maryland, Department of Geographical Sciences, College Park, MD

This session will advance the use of satellite and airborne Earth observations, ground observational networks and modeling tools to support decision in agriculture and food security. Topics of interest include, but are not limited to crop monitoring, yield estimation, crop modeling, agricultural water availability and use, food security, irrigation and fertilization management, land use change impact, climate sensitive regions, sustainable development, natural resource optimization, multi-spectral/resolution/platform remote sensing data, big Earth data solutions and cloud-computing. Presentations and open discussions will highlight stakeholder and end-users engagement in research and applications to strengthen co-development, innovation and the wider application of research.

Papers:
10:30 AM
13A.1
Combining Sources of Predictive Skill to Support Effective Drought Early Warning (Invited Presentation)
Chris C. Funk, USGS EROS, Santa Barbara, CA; and G. Husak, A. McNally, K. R. Arsenault, and L. S. Harrison

10:45 AM
13A.2
11:00 AM
13A.3
Characteristics, Precursors and Predictability of Amu Darya Drought
Andrew Hoell, NOAA, Boulder, CO; and J. K. Eischeid and M. Barlow

11:15 AM
13A.4
Utilizing National Water Model Output to Improve Runoff Risk Tools used for Nutrient Application
Lindsay E. Fitzpatrick, Cooperative Institute for Great Lakes Research, Ann Arbor, MI; and Y. Hu, D. Goering, L. Mason, L. M. Fry, L. K. Read, A. R. Thorstensen, and B. M. Lofgren

11:30 AM
13A.5
Modeling Hydrologic Influence of Agricultural Management Using the National Water Model
Prasanth Valayamkunnath, NCAR, Boulder, CO; and M. Barlage, F. Chen, D. J. Gochis, K. Franz, and B. A. Cosgrove

11:45 AM
13A.6
Parameterization of a Semi Distributed Hydrological Model by using a combination of ground and satellite-derived data during the calibration process. A case study in the Wami River Basin.
Fernando Jarrin, Texas A&M University, College Station, TX; and P. Guillevic, J. Jeong, W. Mbungu, S. Tumbo, C. Nakalambe, and Y. T. Dile

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner