Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
• Data Files
• Parameters
• Instruments
• Deployments
• Project Information
• Program Information
• Funding

PI: H. Batchelder
Dataset: Alongtrack data (MET & navigation)
Ship: R/V New Horizon
Cruises: NH0005, NH0007

Sensor locations were as follows:

Location         Unit                               Sensors

Flying Bridge Coastal Environmental WeatherPak temp_air,press_bar, winds, radiation_s, radiation_l, humidity Aft Lab SeaBird SBE21 Thermosalinograph Temp, Conductivity Wetlabs Wetstar Fluorometer Relative Fluorescence Engine Room Dual Temperature Unit temp_ss, temp_ss_sec Chart Room Pcode Receiver Trimble Differential GPS lat, lon Bridge Gyro Compass

Last modified: 14 February 2001

The data were colleted at 15 s intervals throughout the duration of each cruise.

Wind data collected on board were post-processed to true winds using a software algorithms developed by Shawn R. Smith and Mark A. Bourassa for the WOCEMET software analysis package (wocemet@coaps.fsu.edu). The algorithms was implemented in a matlab function (truewind1.m; written by Hal Batchelder, hbatchelder@oce.orst.edu) that takes 1) direction the bow is pointing, 2) course over which the vessel is moving (may be different from bow direction), 3) speed of vessel over the ground, 4) wind direction referenced to the ship, zero line reference (e.g., angle between the bow and the zero line n the anemometer), and a convention for reporting the output (conv = 0 is meteorological; conv = 1 is oceanographic). The function returns 1) true wind direction, referenced to the fixed earth, 2) true wind speed, referenced to the fixed earth, and 3) apparent wind direction.

Relative fluorescence and wind data were significantly noisier than most other data types. To reduce the high-f equency noise, east wind, north wind and relative fluorescence were filtered (averaged) over a 3 min sampling window (12 observations), although the data are still reported here at 15 s intervals.

Program in a Nutshell

Goal: To understand the effects of climate variability and climate change on the distribution, abundance and production of marine animals (including commercially important living marine resources) in the eastern North Pacific. To embody this understanding in diagnostic and prognostic ecosystem models, capable of capturing the ecosystem response to major climatic fluctuations.

Approach: To study the effects of past and present climate variability on the population ecology and population dynamics of marine biota and living marine resources, and to use this information as a proxy for how the ecosystems of the eastern North Pacific may respond to future global climate change. The strong temporal variability in the physical and biological signals of the NEP will be used to examine the biophysical mechanisms through which zooplankton and salmon populations respond to physical forcing and biological interactions in the coastal regions of the two gyres. Annual and interannual variability will be studied directly through long-term observations and detailed process studies; variability at longer time scales will be examined through retrospective analysis of directly measured and proxy data. Coupled biophysical models of the ecosystems of these regions will be developed and tested using the process studies and data collected from the long-term observation programs, then further tested and improved by hindcasting selected retrospective data series.

U.S. GLOBEC (GLOBal ocean ECosystems dynamics) is a research program organized by oceanographers and fisheries scientists to address the question of how global climate change may affect the abundance and production of animals in the sea.

The U.S. GLOBEC Program currently had major research efforts underway in the Georges Bank / Northwest Atlantic Region, and the Northeast Pacific (with components in the California Current and in the Coastal Gulf of Alaska). U.S. GLOBEC was a major contributor to International GLOBEC efforts in the Southern Ocean and Western Antarctic Peninsula (WAP).