HAVAIKI 2008: Field campaign
HAwaii VApor Isotope Knowledge Intercomparison
"For us there is only one name," the old man insisted in a burst of rhetoric.
"Havaiki of the manifold riches, Havaiki of the brave canoes, Havaiki of strong
gods, and courageous men and beautiful women, Havaiki of the dreams that led
across the endless oceans, Havaiki that has lived in our hearts for forty and
fifty and sixty generations. This is the island of HAVAIKI!"
From James Michener's classic novel Hawaii
(Required reading for all investigators before October 2008).
TES overpasses (~2 am, 2pm local) will be:
2008/10/11 12:21:11 UTC Descending 2008/10/20 00:04:18 UTC Ascending 2008/10/21 23:52:08 UTC Ascending 2008/10/27 12:21:28 UTC Descending
What is the K in HAVAIKI? Kafkaesque, kludge, kooky, keynote, ...
What is HAVAIKI?
HAVAIKI is a field experiment to make measurements of water vapor isotopologues at the NOAA observatory at Mauna Loa, Hawaii. The observations span about three weeks in October 2008, and use three different laser-based sensors and two different satellites, which will be validated against traditional mass spectrometry techniques applied to samples collected on site using vacuum flasks and cryogenic trapping. The goal of this study is to compare the different measurement techniques (traditional mass spectrometry, commercially available ground-based spectroscopic water vapor analyzers, and satellite-based spectroscopy) in order to assess the fidelity of these new measurement technologies and to provide new data on the processes that control the humidity of the subtropical Pacific.
- Evaluate surface-based water vapor analyzers for climate applications.
- Perform a validation of remotely sensed isotope concentrations
- Evaluate which mechanisms control mid-troposphere water vapor in the subtropics
David Noone, Department of Atmospheric and Oceanic Sciences, University of
Joe Galewsky, Department of Earth and Planetary Sciences, University of New Mexico
Zach Sharp, Department of Earth and Planetary Sciences, University of New Mexico
John Worden, Jet Propulsion Laboratory, Pasadena, CA
Lance Christensen, Jet Propulsion Laboratory, Pasadena, CA
Doug Baer, Los Gatos Research Inc., Mountain View, CA
Eric Crossin, Picarro, Sunnyvale, CA
Aaron van Pelt, Picarro, Sunnyvale, CA
Cathy Clerbaux, Service d’Aéronomie, CNRS, IPSL, Paris, France
Pierre Coheur, Service de Chimie Quantique et Photophysique, Universite Libre de Bruxelles, Belgium
Data and resultsCalibrated (version 1 calibration):
Picarro (15 second data): get data via http
Los Gatos (10 second data): get data via http
Raw flask and trpa data: coming soon...
Please check with David (email@example.com) on the use of these data. There are some known issues in some aspects of calibration and the time stamps.
|Flask||Air/vapor, small volume isotope mass spectrometer analysis||HDO||2-6 per day, MLO plus 2 sites lower altitude|
|Cryogenic||Trapped vapor, traditional isotope mass spectrometer analysis||HDO, H218O||2-6 per day, MLO|
|Los Gatos Water Vapor Analyzer||ICOS, CRDS||HDO, H218O||Continuous (nominally 5 minute averages)|
|Picarro Water Vapor Analyzer||CRDS (proprietary laser stabilization technology)||HDO, H218O||Continuous (nominally 5 minute averages)|
|JPL TWI/ALIAS-2||CRDS, variable configuration||HDO, H218O||Continuous (nominally 5 minute averages)|
|NASA TES||Satellite infrared emission spectrometer||Temperature, H2O, HDO (possibly H218O)||2am and 2pm , 4 instances at high resolution, plus lower resolution every 2 days|
|ESA/CNRS IASI||Satellite infrared emission spectrometer||Temperature, H2O, HDO (possibly H218O)||9:30am and 9:30 pm every day|
|NOAA||MLO station observations||meteorological||Continuous, real time archived publicly|
Hilo isotopes in precipitation data from IAEA ISOHIS (GNIP) database.
- NOAA Mauna Loa Observatory
- NASA JPL, Tropospheric Emission Spectrometer
- NASA JPL, Water Isotopes Specrtometer
- Los Gatos Research - Water Vapor Isotope Analyzer
- Picarro - Water Vapor Isotope Analyzer
This material is based upon work supported by the National Science Foundation under Grant No. 0840129.