Feature Publication Archive

Downward-looking image taken atop the saildrone wing while in sea ice in 2019 mission (Photo Credit: Saildrone Inc.)
Chiodi AM, Zhang C, Cokelet ED, Yang Q, Mordy CW, Gentemann CL, Cross JN, Lawrence-Slavas N, Meinig C, Steele M, Harrison DE, Stabeno PJ, Tabisola HM, Zhang D, Burger EF, O’Brien KM and Wang M (2021) Exploring the Pacific Arctic Seasonal Ice Zone With Saildrone USVs. Front. Mar. Sci. 8:640690. doi: 10.3389/fmars.2021.640697
A recent study published in Frontiers in Marine Science identified navigational challenges and opportunities for Arctic study using saildrones. Researchers from NOAA and other affiliates were among those carrying out the mission, where they took five saildrones to the US Arctic to test their remote navigation capabilities in close proximity to ice, while also collecting data to advance our understanding of Arctic weather, climate, and ecosystems. They then compared existing methods and products for remote sea ice... more »

MJO Schematic showing the eastward moving disturbance of clouds, rainfall, winds, and pressure that circles the planet in the tropics and returns to its points of origin in 30 to 60 days, on average. Read the full description on climate.gov.
Zhang, C. (PMEL), A. Adames, B. Khouidar, B. Wang, and D. Yang (2020): Four theories of the Madden-Julian Oscillation. Rev. Geophys., 58(3), e2019RG000685. https://doi.org/10.1029/2019RG000685
The Madden-Julian Oscillation (MJO) is the leading intraseasonal (20–100 days) variability in the tropics. It affects many weather-climate phenomena globally. Tremendous progress has been made in observing, describing, simulating, understanding, and forecasting the MJO since its first documentation in the early 1970s. In particular, theoretical understanding of the MJO has flourished during the past decade or two, with very diverse ideas on the fundamental components of MJO dynamics.

Large-scale drivers of subsurface variability in the Northern California Current System (N-CCS). Adapted from Chen et al. (2014). Click on image for larger map.
Ray, S., S.A. Siedlecki, M.A. Alexander, N.A. Bond, and A.J. Hermann (2020): Drivers of subsurface temperature variability in the Northern California Current. J. Geophys. Res., 125(8), e2020JC016227. https://doi.org/10.1029/2020JC016227
The Washington/Oregon shelf, embedded in the Northern California Current System, is a productive habitat with important commercial fisheries. One of the most valuable species is Dungeness crab, which resides on the subsurface shelf and is sensitive to near‐bottom ocean properties such as temperatures and oxygen concentrations. The predictability of these properties on seasonal time scales is being investigated using J‐SCOPE (JISAO's Seasonal Coastal Ocean Prediction of the Ecosystem), developed at the University of Washington’s Cooperative Institute for Climate, Ocean and Ecosystem Studies... more »

Upper-ocean heat content anomaly linear trends for 1993–2019. Annual estimates of the PMEL combined maps. Values are in W m-2 (colour bar) applying 90% two-tailed (5–95%) confidence limits to outline areas with trends that are statistically significantly different from zero (black contours). Latitudes are gridded at 30° intervals, and longitudes, centered on 150 °W, at 60° intervals (dotted lines). OHCA, ocean heat content anomaly.
Johnson, G.C., and J.M. Lyman, 2020: Warming trends increasingly dominate Global Ocean. Nature Clim. Change, 10, 757–761. https://doi.org/10.1038/s41558-020-0822-0
Ocean warming absorbs about 9/10th of the excess energy that is entering Earth’s climate system because of a build-up of man-made greenhouse gasses in the atmosphere. That warming causes ocean expansion, contributing to sea level rise. Knowing how much, and where the ocean is warming is vital for validating climate models, predicting climate change, assessing sea level rise, and understanding changing marine ecosystems.
Johnson and Lyman (2020) analyze over 15 years of near-global, high-quality, in situ ocean temperature measurements from the Argo array coupled with other historical... more »

Tsunami finite-fault model for the dynamically-triggered early aftershocks of the 2010 M7.0 Haiti earthquake. Colors denote vertical seafloor deformation from the tsunami source model. Yellow contours are the peak back-projected energy contours of the main shock and the three early aftershocks. Red star is the epicenter of the 2010 Haiti earthquake. The DART buoy D42407 is positioned about 600 km southeast of the epicenter of the main shock in the Caribbean Sea.
ten Brink, U., Y. Wei (UW-CICOES/OAR-PMEL), W. Fan, J.-L. Granja-Bruña, and N. Miller, 2020: Mysterious tsunami in the Caribbean Sea following the 2010 Haiti earthquake possibly generated by dynamically triggered early aftershocks. Earth and Planetary Science Letters, 540, 116269. https://doi.org/10.1016/j.epsl.2020.116269.
The magnitude 7.0 Haiti earthquake of 2010 ruptured a complex fault network including both strike-slip faults (where two blocks slide past one another) and reverse faults (in which the upper block, above the fault plane, moves up and over the lower block). The earthquake affected the region spanning from the northern side of Haiti’s Southern Peninsula on land to an area off the north shore of the peninsula. The offshore rupture produced a minor tsunami that impacted the north shore of the Southern Peninsula.
Intriguingly, a much more prominent tsunami was also reported with up to 3... more »