@article(c._identifying_2021,
	title = {IDENTIFYING FUTURE HYDROGRAPHIC SURVEY PRIORITIES: A QUANTITATIVE UNCERTAINTY BASED APPROACH},
	journal = {The International Hydrographic Review},
	volume = {25},
	year = {2021},
	url = {https://ihr.iho.int/articles/identifying-future-hydrographic-survey-priorities-a-quantitative-uncertainty-based-approach/},
	author = {C. Bongiovanni and A. Armstrong and B. Calder and Dr T. Lippmann},
	abstract = {There is no universal standard methodology for assessing the validity of hydrographic survey data and charted information as they age. NOAA’s current method is the Hydrographic Health Model (HHM), a risk-based approach that incorporates crucial maritime variables and heuristic changeability terms through the history and frequency of large storms, tidal currents, and anthropogenic obstructions of a given area. Here we propose a quantitative approach evaluated in Chesapeake Bay and the Delmarva Peninsula that supports uncertainty-based estimates of chart health through alternative methodologies of calculating the initial state of historic hydrographic data and modeling how those change through time.
},
)