Contributors | Affiliation | Role |
---|---|---|
Cobb, Kim | Georgia Institute of Technology (GA Tech) | Co-Principal Investigator, Contact |
Gates, Ruth D | Hawaii Institute of Marine Biology | Co-Principal Investigator |
Bennett, Austin Landry | Georgia Institute of Technology (GA Tech) | Contact |
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
These weather data include air temperature, humidity, precipitation, wind speed, wind direction, and visibility from Cassidy International Airport (PLCH) on Kiritimati in the Northern Line Islands between 2006 to 2015.
Information collected from a weather station at Cassidy International Airport, Kiritimati. Rain information collected with a splayed base rain gauge.
BCO-DMO Data Manager Processing Notes:
* added a conventional header with dataset name, PI name, version date
* modified parameter names to conform with BCO-DMO naming conventions
* removed unnecessary columns such as snowfall accumulation.
* removed undocumented columns such as wind_speed_high and wind_speed_low due to unknown "high" and "low" limits. wind_speed_mean is still included.
* lat/lon added for Cassidy International Airport
* parameter description source (daily data section) being verified with data contributor.
File |
---|
AIRPORT.csv (Comma Separated Values (.csv), 605.21 KB) MD5:a4fa4044386c9245c0d15d5b922ba98b Primary data file for dataset ID 660093 |
Parameter | Description | Units |
date | Date (local UTC+14:00) in yyyy-mm-dd | unitless |
dew_point_high | Dew Point (max of hourly values) | degrees Celsius |
dew_point_low | Dew Point (min of hourly values) | degrees C |
humidity_fraction_high | Relative humidity expressed as a fraction (max of hourly values) | dimensionless |
humidity_fraction_low | Relative humidity expressed as a fraction (min of hourly values) | dimensionless |
humidity_fraction_avg | Relative humidity expressed as a fraction (average of hourly values) | dimensionless |
precip_per_hour_avg | Precipitation (average of hourly values) | millimeters per hour |
precip_per_hour_sum | Precipitation (sum of hourly precipitation) | millimeters per day |
pressure_avg | Pressure (average of hourly values) | millibars (mbar) |
temp_high | Air temperature (max of hourly values) | degrees Celsius |
temp_low | Air temperature (min of hourly values) | degrees Celsius |
visibility_avg | Visibility (average of hourly values) | kilometers (km) |
wind_direction | Angular mean wind direction (from hourly values) | degrees |
wind_speed_high | Wind speed (max of hourly values) | meters per second (m/s) |
wind_speed_low | Wind speed (min of hourly values) | meters per second (m/s) |
wind_speed_avg | Wind speed (average of hourly values) | meters per second (m/s) |
lat | Latitude of Cassidy International Airport | decimal degrees |
lon | longitude of Cassidy International Airport | decimal degrees |
Dataset-specific Instrument Name | Weather station at Cassidy International Airport |
Generic Instrument Name | Automated Weather Station |
Generic Instrument Description | Land-based AWS systems are designed to record meteorological information. |
Website | |
Platform | Kiritimati |
Start Date | 1996-01-01 |
End Date | 2015-12-14 |
Description | Weather from Cassidy International Airport [PLCR] |
Extracted from the NSF award abstract:
As anthropogenic climate change intensifies, coral reefs face growing threats from associated decreases in ocean pH and increases in ocean temperature. While such stressors increase steadily through time, coral reefs also experience natural climate extremes, such as El Niño events, that rapidly reshape reef structure and function over a period of months. The El Niño event forecast for 2014/2015 presents the opportunity to study how such events affect coral reef ecosystems. This research will identify which species are most resilient to high temperature stress, and determine whether the presence of specific types of algal endosymbionts in the corals is predictive of the capacity of their coral hosts to survive temperature stress. By studying the reefs at remote sites with documented gradients in human use and pollution, the investigators will be able to tease apart the influence of El-Nino induced temperature changes from local impacts on the reef. This information will ultimately help to identify which components of the coral reef ecosystem are most vulnerable and provide a prognosis for the survival of different types of corals and endosymbionts in a warming world.
This project focuses on reefs at Christmas Island (2N, 157W) - a site that is predicted to be heavily affected by warming during El Niño. In September 2014, roughly 3 months prior to peak El Niño warming, the investigators will install an array of ocean monitoring equipment around Christmas Island. During that field trip, they will also conduct extensive ecological surveys of the reef, collect coral, water and sediment samples for the analysis of Symbiodinium communities that will be analyzed at the University of Hawaii using high throughput sequencing approaches, and characterize ocean geochemistry at both windward and leeward sites on Christmas Island. These activities will be repeated in subsequent trips during peak El Niño conditions, and post El Niño conditions, to allow the investigators to monitor the acute responses of the environment and ecosystem and their near-term recovery, respectively. During the last trip, they will drill several coral colonies to assess how the corals record such a large thermal stress in terms of skeletal morphological and skeletal geochemistry changes.
Funding Source | Award |
---|---|
NSF Division of Ocean Sciences (NSF OCE) |