Radiocarbon determination of atmospheric methane at Baring Head, New Zealand

Nature ◽  
1988 ◽  
Vol 332 (6164) ◽  
pp. 522-525 ◽  
Author(s):  
David C. Lowe ◽  
Carl A. M. Brenninkmeijer ◽  
Martin R. Manning ◽  
Rodger Sparks ◽  
Gavin Wallace
Keyword(s):  
New Zealand ◽  
Atmospheric Methane

Hisotological and radiographic determination of the age of physeal closure of the distal femur, proximal tibia, and proximal fibula of the New Zealand white rabbit

1994 ◽  
Vol 12 (5) ◽  
pp. 747-749 ◽  
Author(s):  
Moises Kaweblum ◽  
Maria Del Carmen Aguilar ◽  
Eduardo Blancas ◽  
Jaime Kaweblum ◽  
Wallace B. Lehman ◽  
...  
Keyword(s):  
New Zealand ◽  
Distal Femur ◽  
Proximal Tibia ◽  
Zealand White Rabbit ◽  
Proximal Fibula ◽  
New Zealand White Rabbit ◽  
Physeal Closure

Determination of the isotopic composition of atmospheric methane and its application in the Antarctic

1991 ◽  
Vol 96 (D8) ◽  
pp. 15455 ◽  
Author(s):  
David C. Lowe ◽  
Carl A. M. Brenninkmeijer ◽  
Stanley C. Tyler ◽  
Edward J. Dlugkencky
Keyword(s):  
Isotopic Composition ◽  
Atmospheric Methane ◽  
The Antarctic

scholarly journals Estimation of dairy pastures - the need for standardisation

1997 ◽  
pp. 221-225 ◽  
Author(s):  
N.A. Thomson ◽  
D.A. Mccallum ◽  
S. Howse ◽  
C.W. Holmes ◽  
P.N.P. Matthews ◽  
...  
Keyword(s):  
New Zealand ◽  
Dairy Farms ◽  
Ground Level ◽  
Common System ◽  
Standard Observer ◽  
Standard Calibration ◽  
Standard Set ◽  
Research Centres ◽  
Calibration Equations

A study was undertaken to determine the reason for the differences in the estimation of pasture mass between dairying research centres in New Zealand and to define a common system of estimation that would overcome these differences and be able to describe the pasture situation on commercial dairy farms in different parts of New Zealand. Differences in the visual estimation of pasture between a standard observer and a local observer at the different dairying research centres in the order of 900 kg DM/ha were identified. This was attributed to a lack of regular visual calibration of persons who regularly assessed pasture, as differences between centres in the actual harvested DM yields of the visually assessed plots varied less (200-400 kg DM/ha). To achieve uniformity it is recommended that all centres measure total herbage mass (the amount of herbage above ground level) to regularly calibrate pasture assessment in dairy grazing management studies and on dairy farms. A reasonably consistent estimation of average farm cover, the ranking of paddocks (r2 > 0.9) for the purposes of determining grazing order and the estimation of pre- and post-grazing herbage mass was achieved using the rising plate meter and L'Huillier & Thomson's standard set of calibration equations published in 1988. With these recommendations, estimation of pasture will be more uniform. Standard calibration of the plate meter for the determination of rate of DM disappearance (pre-post grazing) achieved less consistency. Keywords: herbage mass, pasture assessment, pasture height, rising plate meter, visual pasture estimation

Note on Determination of Premium Rates for Motor Vehicles (Third Party Risks) Insurance in New Zealand

1972 ◽  
Vol 98 (2) ◽  
pp. 149-156
Author(s):  
J. E. Eriksen ◽  
E. J. Jones
Keyword(s):  
New Zealand ◽  
Life Insurance ◽  
Motor Vehicle ◽  
Third Party ◽  
Motor Vehicles ◽  
Motor Insurance ◽  
Premium Rates ◽  
Insurance Rates ◽  
Basic Ideas

The authors have advised on the level of motor vehicle (third party risks) insurance rates of premium in the circumstances under which that business is written in New Zealand and this paper records the approach taken. It has been prepared in the hope that, as no difficult mathematics are involved, the basic ideas may appeal both to actuaries and to persons other than actuaries who are interested in the transaction of non-life insurance. They are relevant not merely to third party motor insurance but also to non-life insurance generally in a situation where insurance is compulsory and the rates of premium are centrally controlled. In those circumstances more sophisticated techniques of deriving premium rates are less necessary.

Determination of New Zealand Ocean Bottom Seismometer Orientation via Rayleigh-Wave Polarization

2012 ◽  
Vol 83 (4) ◽  
pp. 704-713 ◽  
Author(s):  
J. C. Stachnik ◽  
A. F. Sheehan ◽  
D. W. Zietlow ◽  
Z. Yang ◽  
J. Collins ◽  
...  
Keyword(s):  
New Zealand ◽  
Rayleigh Wave ◽  
Ocean Bottom ◽  
Ocean Bottom Seismometer ◽  
Wave Polarization ◽  
Seismometer Orientation

scholarly journals Optical Energy Variability Induced by Speckle: The Cases of MERLIN and CHARM-F IPDA Lidar

Atmosphere ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 540 ◽  
Author(s):  
Cassé ◽  
Gibert ◽  
Edouart ◽  
Chomette ◽  
Crevoisier
Keyword(s):  
Optical Filter ◽  
Speckle Noise ◽  
Spectral Width ◽  
Atmospheric Methane ◽  
Energy Monitoring ◽  
Optical Energy ◽  
Performance Requirements ◽  
Signal Path ◽  
Random Draw

In the context of the FrenchGerman space lidar mission MERLIN (MEthane Remote LIdar missioN) dedicated to the determination of the atmospheric methane content, an end-to-end mission simulator is being developed. In order to check whether the instrument design meets the performance requirements, simulations have to count all the sources of noise on the measurements like the optical energy variability induced by speckle. Speckle is due to interference as the lidar beam is quasi monochromatic. Speckle contribution to the error budget has to be estimated but also simulated. In this paper, the speckle theory is revisited and applied to MERLIN lidar and also to the DLR (Deutsches Zentrum für Luft und Raumfahrt) demonstrator lidar CHARM-F. Results show: on the signal path, speckle noise depends mainly on the size of the illuminated area on ground; on the solar flux, speckle is fully negligible both because of the pixel size and the optical filter spectral width; on the energy monitoring path a decorrelation mechanism is needed to reduce speckle noise on averaged data. Speckle noises for MERLIN and CHARM-F can be simulated by Gaussian noises with only one random draw by shot separately for energy monitoring and signal paths.

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