Cassidy International Airport weather station data on Kiritimati in the Northern Line Islands sampled between 2006-2015 (RAPID Kiritimati project)

Website: https://www.bco-dmo.org/dataset/660093
Data Type: Other Field Results
Version:
Version Date: 2016-09-29

Project
» RAPID: Tracking coral reef impacts of the 2014/2015 El Nino event (RAPID Kiritimati)
ContributorsAffiliationRole
Cobb, KimGeorgia Institute of Technology (GA Tech)Co-Principal Investigator, Contact
Gates, Ruth DHawaii Institute of Marine BiologyCo-Principal Investigator
Bennett, Austin LandryGeorgia Institute of Technology (GA Tech)Contact
York, Amber D.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager


Coverage

Spatial Extent: Lat:1.985472 Lon:-157.349778

Dataset Description

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.


Methods & Sampling

Information collected from a weather station at Cassidy International Airport, Kiritimati.  Rain information collected with a splayed base rain gauge.


Data Processing Description

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. 


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Data Files

File
AIRPORT.csv
(Comma Separated Values (.csv), 605.21 KB)
MD5:a4fa4044386c9245c0d15d5b922ba98b
Primary data file for dataset ID 660093

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Parameters

ParameterDescriptionUnits
dateDate (local UTC+14:00) in yyyy-mm-dd unitless
dew_point_highDew Point (max of hourly values) degrees Celsius
dew_point_lowDew Point (min of hourly values) degrees C
humidity_fraction_highRelative humidity expressed as a fraction (max of hourly values) dimensionless
humidity_fraction_lowRelative humidity expressed as a fraction (min of hourly values) dimensionless
humidity_fraction_avgRelative humidity expressed as a fraction (average of hourly values) dimensionless
precip_per_hour_avgPrecipitation (average of hourly values) millimeters per hour
precip_per_hour_sumPrecipitation (sum of hourly precipitation) millimeters per day
pressure_avgPressure (average of hourly values) millibars (mbar)
temp_highAir temperature (max of hourly values) degrees Celsius
temp_lowAir temperature (min of hourly values) degrees Celsius
visibility_avgVisibility (average of hourly values) kilometers (km)
wind_directionAngular mean wind direction (from hourly values) degrees
wind_speed_highWind speed (max of hourly values) meters per second (m/s)
wind_speed_lowWind speed (min of hourly values) meters per second (m/s)
wind_speed_avgWind speed (average of hourly values) meters per second (m/s)
latLatitude of Cassidy International Airport decimal degrees
lonlongitude of Cassidy International Airport decimal degrees


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Instruments

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.


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Deployments

Cassidy_Airport_Weather_1996-2015

Website
Platform
Kiritimati
Start Date
1996-01-01
End Date
2015-12-14
Description
Weather from Cassidy International Airport [PLCR]


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Project Information

RAPID: Tracking coral reef impacts of the 2014/2015 El Nino event (RAPID Kiritimati)

Coverage: Christmas Island (2N, 157W)


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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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