3 Works

Data from: The future of food from the sea

Tracey Mangin, Christopher Costello, Ling Cao, Stefan Gelcich, Miguel A. Cisneros-Mata, Christopher M. Free, Halley E. Froehlich, Christopher D. Golden, Gakushi Ishimura, Jason Maier, Ilan Macadam-Somer, Michael C. Melnychuk, Masanori Miyahara, Carryn L. De Moor, Rosamond Naylor, Linda Nøstbakken, Elena Ojea, Erin O’Reilly, Ana M. Parma, Andrew J. Plantinga, Shakuntala H. Thilsted & Jane Lubchenco
Global food demand is on the rise and serious questions remain about whether supply can increase sustainably. Land-based expansion is possible, but may exacerbate climate change and biodiversity loss and compromise the delivery of other ecosystem services. As food from the sea represents only 17% of current edible meat production, we ask: How much food can we expect the ocean to sustainably produce by 2050? We examine the main food-producing sectors in the ocean—wild fisheries,...

Variations in the Intensity and Spatial Extent of Tropical Cyclone Precipitation

Danielle Touma, Samantha Stevenson, Suzana J. Camargo, Daniel E. Horton & Noah S. Diffenbaugh
The intensity and spatial extent of tropical cyclone precipitation (TCP) often shapes the risk posed by landfalling storms. Here we provide a comprehensive climatology of landfalling TCP characteristics as a function of tropical cyclone strength, using daily precipitation station data and Atlantic US landfalling tropical cyclone tracks from 1900-2017. We analyze the intensity and spatial extent of ≥ 1 mm/day TCP (Z1) and ≥ 50 mm/day TCP (Z50) over land. We show that the highest...

Variations in the Intensity and Spatial Extent of Tropical Cyclone Precipitation

Danielle Touma, Samantha Stevenson, Suzana Camargo, Daniel Horton & Noah Diffenbaugh
The intensity and spatial extent of tropical cyclone precipitation (TCP) often shapes the risk posed by landfalling storms. Here we provide a comprehensive climatology of landfalling TCP characteristics as a function of tropical cyclone strength, using daily precipitation station data and Atlantic US landfalling tropical cyclone tracks from 1900-2017. We analyze the intensity and spatial extent of ≥ 1 mm/day TCP (Z1) and ≥ 50 mm/day TCP (Z50). We show that the highest median intensity...

Registration Year

  • 2020
    1
  • 2019
    2

Resource Types

  • Dataset
    3

Affiliations

  • Stanford University
    3
  • University of California, Santa Barbara
    3
  • Northwestern University
    1
  • University of Washington
    1
  • Columbia University
    1
  • Oregon State University
    1
  • Shanghai Jiao Tong University
    1
  • Lamont-Doherty Earth Observatory
    1
  • Département de la Formation, de la Jeunesse et de la Culture
    1
  • Pontifícia Universidade Católica do Paraná
    1