Using this approach, Faisal built an innovative flood forecasting system that is currently serving over 80 million people in Bangladesh since 2014. In early 2016, his team took advantage of their recent innovation in satellite gravimetry to help the Pakistan government overcome costly groundwater management challenges for 100 million people in the Indus Basin. He extended this work to a pilot study of 700 farmers eager to use better data for conserving water and improving crop yield through a satellite-based text messaging system. This system was later expanded to 100,000 farmers in the Indus Valley. Having proved the concept, his team is now using satellite and weather models to forecast crop water demand for the entire country. This information has revolutionized agricultural practice by empowering farmers to make data-based decisions regarding scheduling irrigation based on regular forecasts delivered through cell phones.
Faisal is not content to move between the field and the laboratory. He is also passionately committed to inspiring scientists and the next generation of students through professional-grade films that can communicate the societal value of science to the world at large. Since 2017, Faisal has organized a Student Film Contest at the University of Washington, which may be the first such film contest for STEM (science, technology, engineering, and mathematics) majors, where STEM is combined with the arts (as STEAM) to showcase the importance of science for the public.
In closing, I am delighted to nominate Professor Faisal Hossain from the University of Washington for the 2020 International Award. The nomination is for his role in fundamentally improving access to information and research innovation on water resources in the developing world.
Faisal Hossain is an Earth scientist recognized for his research efforts to promote a remote sensing–based flood warning system for vulnerable parts of developing nations where data are scarce and institutional capacity limited. He has argued for a space-based data information system that leverages current and upcoming Earth science satellite missions and complements them on a common platform for water management. He has demonstrated that if prediction uncertainty could be characterized accurately, then the benefits of information derived from Earth observations could outweigh the costs for the 21st century, and these satellite missions could be path finders to more operational missions.
Along this line, Faisal has worked diligently to showcase the potential for socioeconomic benefits through applied research on current and upcoming missions. Although the topic of transboundary waters is already well researched, Faisal was the first to bring it to the forefront of AGU (through EOS) and demonstrate to the scientific community the potential benefits of spaceborne Earth science data. He has argued that satellite data on precipitation, soil moisture, surface water, and land use could overcome the widespread hydropolitical hurdles between riparian nations that do not have mechanisms to share basin-wide data otherwise on an operational timescale. In his 2006 EOS article (Improving flood forecasting in international river basins), Faisal showed through research on institutional capacity and geohydrologic location of various nations that there are many (at least 33 listed in his article) flood prone nations that can benefit from Earth observation data (precipitation in particular). This work was perhaps a key point in drawing the attention of real-world water forecasting agencies in developing nations to the value of spaceborne Earth science data in operational settings.
Since 2007, Faisal has been instrumental in establishing and leveraging Memoranda of Understanding for technical collaboration with stakeholder environmental management and operational agencies in developing nations. Through these mechanisms, he has promoted the use and value of spaceborne Earth science data in a two-way framework. His “forward” way has been to work directly with the operational agencies, train their staff, and demonstrate through hands-on exercises the value of Earth science data for predicting fluxes at regions that are either transboundary or lacking in situ monitoring. This forward approach is motivated by the need for capacity building to adapt to emerging technology. The “reverse” way uses the end results and experience from the “forward” way and feeds them back to the satellite mission community in order to demonstrate the potential economic benefits and suggest ways for tweaking mission planning to be societally more effective. This is an iterative education procedure that has made progress in giving research results and experiences the needed longevity to transform to societal applications for an otherwise very skeptical community of beneficiaries.
–Emmanouil Anagnostou, Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut; Marco Borga, Department of Land and Agroforest Environments, University of Padova, AGRIPOLIS, Legnaro, Italy; S. M. MahbuburRahman, WRP, Institute of Water Modelling, Dhaka, Bangladesh; and C. K. Shum, School of Earth Sciences, Ohio State University, Columbus, Ohio
The use of satellite‐based thermal infrared remote sensing has facilitated the assessment of surface water temperature on a large scale. Howe...