New estimates of flood exposure in developing countries using high-resolution population data
A Nature publication in which we demonstrate the critical importance of having both high resolution hazard and high resolution population data when assessing at-risk populations.
Smith, A., Bates, P., Wing, O., Sampson, C., Quinn, N., Neal, J., 2019
DOI: 10.1038/s41467-019-09282-yVIEW PAPER
The spatial dependence of flood hazard and risk in the USA
A paper describing our method for simulating the spatial dependence of realistic flood events across the USA
Quinn, N., Bates, P., Neal, J., Smith, A., Wing, O., Sampson, C., Smith, J., Heffernan, J., 2019
Water Resources Research
DOI: 10.1029/2018WR024205VIEW PAPER
Estimates of present and future flood risk in the conterminous United States
A collaboration with the US EPA and The Nature Conservancy to show that: a) previous estimates have significantly underestimated exposure of US population to flood risk; and b) that population and GDP growth are likely to cause this to further increases in future
Wing, O.E.J., Bates, P.D., Smith, A.M., Sampson, C.C., Johnson, K.A., Fargione, J., Morefield, P., 2018.
Environmental Research Letters - vol 13, no. 3
DOI: 10.1088/1748-9326/aaac65VIEW PAPER
Validation of Fathom-US flood hazard model
The first peer-reviewed validation of a continental scale, high resolution flood hazard model; this paper won the prestigious AGU editors choice award in 2018
Wing, O, Bates, P, Sampson, C, Smith A, Johnson, K & Erickson, T. 2017.
Water Resources Research - vol 53, pp 7968-7986
DOI: 10.1002/2017WR020917VIEW PAPER
Fight floods on a global scale
A call for action on global terrain data, published in the most prestigious scientific journal ‘Nature’, that led to our being invited to participate in the White House Climate Data initiative under President Barack Obama:
Schumann, G, Bates, PD, Neal, JC & Andreadis, K 2014.
Nature - vol 507
DOI: 10.1038/507169eVIEW PAPER
Regional flood frequency analysis at the global scale
The paper describes our method for estimating extreme river flows anywhere on Earth.
Smith, A, Sampson, C & Bates, P 2015,
Water Resources Research - vol 51, no. 1, pp. 539-553.
DOI: 10.1002/2014WR015814VIEW PAPER
A high-resolution global flood hazard model
The paper describes the architecture of our Global Flood Model, validating its performance against local data:
Sampson, CC, Smith, AM, Bates, PB, Neal, JC, Alfieri, L & Freer, JE 2015,
Water Resources Research - vol 51, no. 9, pp. 7358-7381.
DOI: 10.1002/2015WR016954VIEW PAPER